tap

the official octomind registry — production-ready agents, capabilities, skills, and mcp servers

muvon/octomind-tap ⭐ 5

reusable instruction packs that inject domain knowledge into any agent session.

German Native-Fluency Calibration

skill

Per-language calibration anchors for detecting AI-slop and translationese in German (de) target text; auto-loads alongside content-locale-humanize when the target language is German.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

Portuguese Native-Fluency Calibration

skill

Per-language calibration anchors for detecting AI-slop and translationese in Portuguese (pt) target text; auto-loads alongside content-locale-humanize when the target language is Portuguese.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

iOS Development Best Practices

skill

iOS app best practices for AI coding agents: state ownership, SwiftUI/UIKit integration, persistence, lifecycle, and platform services. Auto-activates for iOS projects.

Apache-2.0 Requires Xcode and the project's supported iOS SDK/deployment target; newer frameworks require availability checks.

Ad Frameworks: AIDA, PAS, BAB, 4Us

skill

Compact playbook of ad copy frameworks (AIDA, PAS, problem-agitation-solution, before-after-bridge, 4Us, FAB) and when to apply each, including a decision guide that matches framework to audience awareness level (Schwartz). Use when structuring the body of an ad: script, body copy, landing-page sections, or any persuasive piece.

Apache-2.0 Stack-agnostic.

Arabic Native-Fluency Calibration

skill

Per-language calibration anchors for detecting AI-slop and translationese in Arabic (ar) target text; auto-loads alongside content-locale-humanize when the target language is Arabic.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

macOS Operations

skill

macOS administration: hardware and release detection, launchd domains, managed updates, security boundaries, packages, diagnostics, and recovery.

Apache-2.0 Requires access to the target Mac through supported shell or device-management tools.

Mastodon Trend Harvester Playbook

skill

Harvest Mastodon posts and topic conversations into a sourced, server-scoped brief. Activate for Mastodon or Fediverse trend scans and harvesting requests; verify accessible surfaces, preserve sampling limits, and distinguish observed participation from inferred spread or writing recommendations.

Apache-2.0 Browser access and network access. A signed-in session may be needed for restricted server surfaces.

RAG Patterns: Chunking, Retrieval, Reranking, Evaluation

skill

Operational playbook for designing and tuning production RAG (Retrieval-Augmented Generation) systems in 2026. Covers chunking strategies (fixed/recursive, semantic, late chunking, Anthropic Contextual Retrieval), retrieval (BM25, dense, hybrid with reciprocal rank fusion, ColBERT late-interaction), query rewriting (HyDE, multi-query, decomposition), reranking (Cohere Rerank 4, cross-encoders, BGE-Reranker), evaluation (RAGAS metrics, TruLens RAG Triad, DeepEval), the seven failure modes (Barnett et al.), agentic RAG and agentic search, multi-modal RAG (ColPali), and the long-context-vs-RAG trade-off including context rot. Use when designing a new RAG pipeline, diagnosing why an existing one underperforms, or evaluating retrieval quality. Output: architecture decisions with cited numbers, not vibes.

Apache-2.0 Stack-agnostic. Requires webfetch (for accessing docs and APIs) and a vector store. Many sub-techniques (Cohere Rerank, voyage embeddings, Anthropic Contextual Retrieval) require external API keys.

French Native-Fluency Calibration

skill

Per-language calibration anchors for detecting AI-slop and translationese in French (fr) target text; auto-loads alongside content-locale-humanize when the target language is French.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

Svelte Development Best Practices

skill

Svelte 5 and SvelteKit best practices for AI coding agents: runes, architecture, server/client boundaries, and progressive enhancement. Auto-activates in Svelte projects.

Apache-2.0 Requires Node.js and a package manager.

Issue Diagnosis

skill

Resolve reported issues (bug reports, feature requests) the way a project maintainer would: understand the reported behavior, find the upstream resolution when one exists, survey the full surface the change belongs to, implement in the project's own pattern, and verify against the report. Activate when the task is a reported issue against a codebase.

Apache-2.0 Language-agnostic. Applies to any codebase; upstream research applies when the project has a public home.

RHEL Operations

skill

Diagnose and maintain Red Hat Enterprise Linux hosts and images with release-aware repositories, networking, SELinux, and container operations.

Apache-2.0 Requires access to the target RHEL system or its configuration and logs; administrative changes require appropriate privileges.

Code Review Checklist for Pull Requests

skill

Code review checklist and guidelines for giving and receiving constructive feedback on pull requests. Activate when reviewing a PR, preparing code for review, or establishing review standards.

Apache-2.0 Language-agnostic. Applicable to any software project using pull requests.

Ubuntu Operations

skill

Diagnose and maintain Ubuntu systems: LTS support, APT repositories, phased updates, Netplan, package isolation, service persistence, and release upgrades.

Apache-2.0 Ubuntu userspace; commands depend on installed tools and privileges.

AI Cost & FinOps: Caching, Batching, Model Routing

skill

Operational playbook for cutting LLM application cost in 2026. Covers the current price book (Anthropic Claude Fable/Opus/Sonnet/Haiku, OpenAI GPT-6 Astra/Sol/Luna, Google Gemini Pro/Flash/Flash-Lite), prompt caching mechanics (Anthropic write/read multipliers and TTLs, OpenAI and Gemini automatic caching), Batch and Flex tiers (50% off), effort and reasoning-depth controls, model routing vs effort tuning, output-length discipline, the RAG cost stack (embeddings, rerank, vector DBs), and FinOps attribution (provider usage APIs, Helicone, Langfuse, Phoenix, Vantage). Use when projecting LLM cost, hunting waste in an existing pipeline, picking a model or effort level, or setting up per-feature attribution. Output: cost-per-task projections with cited, dated prices and quantified optimization levers.

Apache-2.0 Stack-agnostic. FinOps observability typically needs a proxy (Helicone) or instrumented SDK (Langfuse / Phoenix / OpenLLMetry / Vantage). All major providers expose Batch APIs and prompt caching.

Markdown to Word and PDF: Submission-Ready Documents

skill

Markdown to Word and PDF that meets submission rules: write the document once in Markdown, export DOCX with a generated reference document (exact font, size, heading style, line spacing, page size, margins) and PDF through pandoc's Typst engine with the same settings, then check the PDF's page count against the limit, embedded fonts, and the text layer before sending. Covers RFP and proposal formatting instructions, cover letters, reports, page breaks, tables of contents, and using a client's Word template. Use whenever a deliverable must leave as a .docx or .pdf rather than Markdown.

Apache-2.0 Requires: python3, pandoc 3.1.2+, typst, and poppler-utils (pdftotext, pdfinfo, pdffonts). Optional: LibreOffice for DOCX page counts. macOS/Linux.

Elixir Development Best Practices

skill

Elixir best practices for AI coding agents: pattern matching, supervision, process-lifecycle, and concurrency design, and Phoenix conventions. Auto-activates in Elixir projects.

Apache-2.0 Requires Elixir and Erlang/OTP.

Debian Operations

skill

Diagnose and maintain Debian systems: release support, APT sources, package failures, service persistence, networking, and supported upgrades. Use for Debian hosts and Debian-based images.

Apache-2.0 Debian userspace; commands depend on installed tools and privileges.

Python Development Best Practices

skill

Pythonic best practices for AI coding agents: architecture, type-driven design, and library choices that scale beyond scripts. Auto-activates in Python projects.

Apache-2.0 Requires the Python interpreter and environment selected by the project.

Human Writing Voice

skill

Professional voice, clear prose, and context-aware editing for posts, replies, articles, and scripts. Preserve author facts and register without formulaic rhetoric or fabricated experience.

Apache-2.0 Text editing and source material; network access for current policy or factual checks.

Medium Publishing Playbook

skill

Draft and revise Medium stories in the author's documented voice, with sourced proof and a deliberate business purpose, covering publication submissions, native launches, canonical syndication, disclosure, reader access, and measurement. Activate for writing for Medium, publishing on Medium, a Medium draft or piece, or revising a Medium publishing plan.

Apache-2.0 Requires a text editor; network access and a Medium account for publishing and story statistics.

Locale-Native Humanization & Translationese Elimination

skill

MQM-informed, structural-pattern diagnostic for making translated/localized content read as if a native speaker wrote it from scratch, in any target language. Detects translationese and AI-slop by pattern (interference, frequency outliers, rhythm, templating), not by a per-language word list.

Apache-2.0 Language-agnostic; works on any target locale. Network access helps for exact-phrase usage checks.

Content Translation & Localization

skill

Translate and localize documents, code comments, UI strings, and structured content while preserving formatting, adapting to domain-specific terminology, and maintaining consistency across large files via batching.

Apache-2.0 Requires text_editor, view, shell tools. Works with any LLM model. Supports markdown, code, TOML, YAML, JSON, and plain text.

TikTok Trend Harvester Playbook

skill

Harvest TikTok trend evidence into a source-linked brief with audience fit, observed momentum, original angles, and commercial-use constraints. Activate for TikTok trend scans, Creative Center research, and browser-based campaign discovery; separate observed posts from ad examples and generated suggestions.

Apache-2.0 Requires browser and network access; authenticated TikTok business or publishing account access when a surface requires it.

Prompt Injection Defense and AI Red-Teaming

skill

Operational playbook for defending LLM applications and agents against prompt injection (direct + indirect) and red-teaming them in 2026. Covers the OWASP Top 10 for LLM Applications (2026 edition, with 2025 ID mapping), the OWASP Top 10 for Agentic Applications (ASI01-ASI10), foundational research (Greshake et al., Many-Shot Jailbreaking, Crescendo), documented exploits (EchoLeak CVE-2025-32711, GitHub Copilot CVE-2025-53773, ForcedLeak, Slack AI), architectural defenses (lethal trifecta / Rule of Two, CaMeL, injection-resistant design patterns), defense layers (tagging and spotlighting, structured outputs, guard models such as Llama Guard 4 / Prompt Guard 2 / gpt-oss-safeguard, NeMo Guardrails, least agency, MCP hardening), and red-team tooling (garak, PyRIT, Promptfoo). Use when auditing an LLM app for injection, designing defense-in-depth, mapping OWASP risks, or building a red-team suite. Output: red-team findings + defense recommendations with reproducible payloads.

Apache-2.0 Stack-agnostic. Red-team tooling typically needs Python (garak, PyRIT) or Node (Promptfoo). Defense layers integrate at the SDK level (Anthropic / OpenAI / Google) and at the orchestration layer (NeMo Guardrails, custom rails).

TypeScript Development Best Practices

skill

Type-first TypeScript best practices for AI coding agents: architecture, module boundaries, and pragmatic library choices. Auto-activates in TypeScript projects.

Apache-2.0 Requires Node.js and a package manager (npm/pnpm/yarn).

Instagram Publishing Playbook

skill

Write and revise Instagram captions, Reels, carousels, Stories, and launch or proof posts in the supplied author's voice. Activate when drafting for Instagram; choose formats, build a usable publishing package, and connect attention to a relevant next action with evidence-backed platform guidance.

Apache-2.0 Network access for current platform checks; Instagram account access for composer previews and account-level Insights.

Windows Operations

skill

Windows client/server operations: release channels, PowerShell context, services, updates, permissions, WSL boundaries, and evidence-based recovery.

Apache-2.0 Requires access to the target Windows system through its supported shell or management tools.

Short-Form Video Editing: Footage to Platform-Ready Shorts

skill

Short-form video editing pipeline for marketing and creator footage, built on code-driven tools: transcript-first story selection, auto-editor silence cuts and jump cuts, horizontal-to-vertical 9:16 reframes, punch-ins, b-roll cutaways, SFX, audio ducking under the voice, loudness normalization, word-timed captions, and platform encodes, plus podcast and webinar clip selection and hook-swap variants of winning ads. Use when editing footage someone shot, clipping a podcast or webinar, or re-cutting an existing ad.

Apache-2.0 Requires: ffmpeg (libass build for captions and text), auto-editor, python3; Node.js for Remotion motion graphics. macOS/Linux.

Hacker News Publishing Playbook

skill

Prepare source-grounded Hacker News submission briefs, human-authorship handoffs, and launch response plans. Activate for Show HN, Ask HN, Tell HN, Launch HN, linked articles, or HN comments; choose the right format, preserve author voice, and connect useful discussion to product evaluation.

Apache-2.0 Requires web access to Hacker News and linked source material.

Go Development Best Practices

skill

Idiomatic Go best practices for AI coding agents: architecture, concurrency design, and standard-library-first patterns. Auto-activates in Go projects.

Apache-2.0 Requires the Go toolchain selected by the project.

C++ Development Best Practices

skill

Modern C++ best practices for AI coding agents: architecture, RAII, value semantics, and reproducible dependency and library selection guidance. Auto-activates in C++ projects.

Apache-2.0 Requires the project's C++ compiler, standard library, and build system.

Tap Dep Script Authoring

skill

Complete guide for writing dep scripts in the octomind-tap registry: required header comments, platform.sh boilerplate, type: mcp vs type: dep, npx/uvx MCP pattern, platform variables and functions, companion .md format, and validation. Activate when creating or editing deps/<org>/<tool>.sh files.

Apache-2.0 Requires: octomind-tap repo. Run scripts/lint-deps.sh for validation.

GitHub Social Preview Card in the Repo's Brand

skill

Designs and renders a custom GitHub social preview (the 1280x640 card shown when a repository link is shared on X, Slack, LinkedIn, Reddit, Hacker News, or Discord) from the repository's own brand: logo, colors, fonts, tagline, install command, and open-source facts discovered in the repo and its website. Renders deterministically with the social-preview CLI, checks it at feed size, and hands over the web-only upload plus a gh check that it took. Use when a repo shows GitHub's generic card, when a visibility audit flags a missing social preview, or when asked for an Open Graph image for a repository.

Apache-2.0 Requires: python3 and typst (installed with the social-preview capability); gh, authenticated, for reading the repo and checking the upload. macOS/Linux.

AI Search Visibility Audit

skill

Audits AI search visibility using buyer questions, captured answers, and cited sources. Use to diagnose GEO/AEO gaps and plan comparable retests.

Apache-2.0 Requires web search and page fetching. AI visibility measurement needs supplied answer captures or authorized engine access.

Add Captions to Video: Word-Timed TikTok-Style Subtitles

skill

Add captions to video that look edited, not hand-made: a word-timed video caption generator pipeline with word-level timestamps from local faster-whisper, TikTok/Reels caption presets (pop, karaoke, word, box, clean) with an active-word highlight, rendered to ASS and burned in with ffmpeg and libass, plus SRT sidecars and Remotion caption JSON. Use whenever a video needs auto captions, burned-in subtitles, a word-by-word highlight, or an on-screen hook line.

Apache-2.0 Requires: python3, an ffmpeg built with libass (macOS: Homebrew ffmpeg-full), and a word-timestamp source such as whisper-ctranslate2. macOS/Linux.

Podcast Guest Pitch Templates and Speaker Outreach

skill

Podcast guest pitch templates, show research, speaker pitches, one-sheets, and follow-up guidance. Use when pitching yourself or a founder for podcast interviews, webinars, or conference talks.

Apache-2.0 Needs web search and page fetch for show research. Any OS.

GEO & AI Citation Optimization

skill

Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) patterns for getting content cited by AI search engines. Answer-first structure, schema markup, extractable passages, and crawler setup.

Apache-2.0 Network access for current engine documentation and public-page checks.

Octomind Runtime & Tool Surface

skill

Explains how octomind assembles a session at runtime: tap resolution of domain:spec tags, manifest placeholders, built-in tool servers, capability activation and the deterministic embedding auto-activator, domain and env gating, LRU eviction of the tool surface, skill discovery and activation, Agent Plugins, local .agents/tools scripts, and sandbox mode. Activate when a user asks why a tool or skill did or did not appear, how a tag resolves, how capability auto-activation decides, why a capability was evicted or refused, or where skills and taps live on disk.

Apache-2.0 Requires: octomind binary. macOS/Linux/Windows.

Video Hooks: TikTok, Reels, Shorts Retention Guide

skill

Evidence-graded video hooks playbook for TikTok, Reels, and Shorts: an 11-pattern opening hook catalog (pattern-interrupt, contrarian, curiosity-gap, stat punch, identity bait), visual hook devices, banned opens, sound-on audio hooks, endings and loops built for rewatch, mid-video re-hooks, share triggers, organic hook testing (Instagram Trial Reels, distinct concepts), and an originality and engagement-bait guard. Includes post-publish retention review: TikTok finish and skip rates, Instagram Skip Rate and retention chart, YouTube viewed-vs-swiped, and what to re-cut. Use when drafting an ad or social-video script, or when a posted clip loses viewers early.

Apache-2.0 Stack-agnostic.

Browser Social Account Maintenance Ops

skill

Operational playbook for recurring social-account hygiene executed via a headless browser: profile/bio sync across networks, cross-posting a pre-written piece to N platforms, scheduled-post audits, follower/connection cleanup, notification triage, archive/delete of old posts — within each platform's automation terms. Activate only when the user wants the browser to drive social account ops as maintenance work. Authoring new post copy is out of scope; text must be supplied as input.

Apache-2.0 Requires browser:general agent with browser (Playwright) capability and filesystem-write. Assumes user has authenticated sessions or supplies credentials this session.

Coaching Frameworks: GROW, Questions, Accountability

skill

The universal coaching method any coach agent runs: GROW, ICF active listening, open non-leading questions, goal-setting with WOOP and if-then plans, and accountability design. Activate when coaching someone toward a goal, running a 1:1, or designing follow-through, and when you catch yourself dispensing advice instead of drawing the answer out.

Apache-2.0 Any Octomind session. No external tools required; pairs well with memory to carry commitments between sessions.

Korean Native-Fluency Calibration

skill

Per-language calibration anchors for detecting AI-slop and translationese in Korean (ko) target text; auto-loads alongside content-locale-humanize when the target language is Korean.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

Influencer Outreach Email Templates and Creator Briefs

skill

Influencer outreach email templates, creator vetting, collaboration briefs, rate research, and FTC disclosure checks. Use when pitching influencers, creators, or ambassadors and planning paid, gifted, or affiliate partnerships.

Apache-2.0 Needs web search for creator research. Any OS.

Cover Letter Craft

skill

Write a cover letter that a hiring manager actually reads: grounded in the candidate's real experience, tailored to the specific posting and company, structured for a hiring-manager skim, and free of the generic AI-template phrasing that gets letters discarded. Truthful, specific, and human.

Apache-2.0 No external tools required. Works from a resume plus a job posting (file, URL text, or pasted).

YouTube Ads Production Spec

skill

Specifies what to produce for a YouTube ad: Skippable In-Stream (TrueView), Non-Skippable, Bumper, In-Feed (Discovery), Masthead, and YouTube Shorts, with the exact slots (headline, description, companion banner, CTA), duration limits, asset ratios (16:9, 9:16, 1:1), the first-5-seconds hook rule that decides whether anyone watches past skip, and the policy constraints. Use whenever the task is producing YouTube ad copy or video briefs; strictly platform-specific, so it does not cover audience targeting, conversion linkage, or Google Ads campaign setup.

Apache-2.0 Octomind launch agents. Platform-specific to YouTube Ads.

TikTok Ads Production Spec

skill

Specifies what to produce for a TikTok ad: In-Feed Ads, Spark Ads, TopView, Branded Effect, and Branded Mission, with the exact slots (caption, display name, CTA), character limits, the 9:16 vertical asset spec, sound-on requirements, the safe-zone map that decides what is visible on phones, and the native-feeling creative rules that decide whether the algorithm pushes or buries. Use whenever the task is producing TikTok ad copy or video briefs; strictly platform-specific, so it does not cover audience setup or pixel events.

Apache-2.0 Octomind launch agents. Platform-specific to TikTok Ads.

Task Briefing – Prompt Optimizer for AI Agents

skill

Prompt optimizer and prompt improver for autonomous AI agents: turns a short or vague request into a concise task brief the agent can run end to end without asking back. Grounds it in project context and memory, fills only outcome-changing slots, asks at most three multiple-choice questions where readings diverge, records every assumption, names stop-and-report conditions, and checks scope fit. Activate when preparing or sharpening a task or prompt before handing it to an agent.

Apache-2.0 Domain-agnostic. Reads project files and memory when available; works from the request alone otherwise.

AI Evals Design: Golden Sets, Metrics, Significance, CI

skill

Operational playbook for designing production LLM evaluation in 2026. Covers eval framework selection (Promptfoo, DeepEval, Inspect, LangSmith, Braintrust, Phoenix, Galileo), golden dataset construction (size, stratification, versioning, contamination), synthetic data generation, LLM-as-judge design and calibration (G-Eval, human agreement, position/length bias, preference leakage), statistical significance (standard errors, clustering, paired differences, power analysis), RAG metrics (RAGAS, TruLens RAG Triad), agent evaluation (outcome grading, pass@k vs pass^k, transcripts), drift detection, eval-driven development and CI regression gates, and benchmark literacy (saturation and contamination of MMLU, GPQA, SWE-bench Verified; SWE-bench Pro, HLE, tau2-bench, BFCL, GAIA). Use when designing an eval suite, validating a prompt or model change, gating a deploy, or diagnosing production quality drift. Output: eval verdicts with statistical evidence, not vibe judgments.

Apache-2.0 Stack-agnostic. Production eval stacks typically need: an LLM provider SDK, a framework (Promptfoo / DeepEval / Braintrust / LangSmith), and a tracing backend for production drift monitoring (Phoenix / Langfuse / Helicone / Galileo).

Cold Email Compliance – CAN-SPAM, GDPR and CASL

skill

Cold email laws and CAN-SPAM Act compliance flags, plus GDPR, PECR, and CASL consent, identification, and opt-out checks. Use when preparing email, call, or message outreach to US, EU, UK, or Canadian recipients. Not legal advice.

Apache-2.0 Environment-independent. Any OS.

Prompt Testing: Comprehension Across Models

skill

Prompt testing across LLMs: checks that instruction or prompt wording is read the same, correct way by a list of models, and tunes it with minimal edits until all agree. Builds a multiple-choice scenario test plus a restatement step per text, runs it on every model through a plain no-persona role with octomind run, scores the answers against a key, and revises only where a model misreads. Use when a rule in a system prompt, skill, AGENTS.md or tool description must hold across models, when a model misreads or ignores an instruction, or before wording ships to cheaper or weaker models.

Apache-2.0 Requires: octomind on PATH with credentials for every model under test, bash, python3. Every test run is a billed model call; the procedure caps a session at 60 runs.

Backlink Prospecting & Qualification: Find Safe Free Places

skill

Operational funnel for finding and qualifying SAFE free places to place backlinks. Encodes the prospect categories (reclamation, resource pages, broken links, journalist requests, communities, aggregators, niche directories), the per-target qualification rubric (topical fit, real traffic, outbound profile, page context, anchor naturalness, reachability), Google's link-spam guardrails (penalty triggers, rel attribution rules), and the 2026 AI-search citation overlay (Reddit/community as Perplexity/ChatGPT citation sources). Use AFTER niche/audience are clear and BEFORE any outreach. Stays in the SEO lane: produces a prospect brief; outreach copy and on-page wrappers are downstream concerns owned elsewhere.

Apache-2.0 Stack-agnostic. Requires websearch and webfetch for prospect discovery and qualification.

macOS App Development Best Practices

skill

macOS app best practices for AI coding agents: window and command ownership, AppKit/SwiftUI integration, sandboxed files, and distribution. Auto-activates for Mac app projects.

Apache-2.0 Requires Xcode and the project's supported macOS SDK/deployment target; signing tools for distribution.

Ruby and Rails Development Best Practices

skill

Idiomatic Ruby and Rails best practices for AI coding agents: objects, services, ActiveRecord persistence, transactions, and Active Job boundaries. Auto-activates in Ruby projects.

Apache-2.0 Requires a supported Ruby and Bundler; Rails guidance applies only to Rails projects.

YouTube Trend Harvester Playbook

skill

Harvest YouTube topic demand, channel-relative outliers, buyer questions, and reusable format ideas. Activate for YouTube trend scans, competitor or launch monitoring, and evidence-backed content briefs; separate observed public data from private analytics and turn findings into original angles with explicit limitations.

Apache-2.0 Requires browser and network access. Account-specific Studio research requires an authorized signed-in session.

Desktop Device UI Automation

skill

Operate the local computer's native UI (macOS, Linux, or Windows) via the desktop-automation MCP server. Covers OS accessibility and screen-recording permissions, pixel-anchor targeting (no semantic UI tree), full-screen capture limits under the MCP response cap, HiDPI coordinate mapping, window focus and multi-monitor handling, keyboard and mouse sequencing, and the safety boundary around destructive desktop actions and screen-lock or biometric bypass. Activate when the user wants to drive a native desktop app or the OS shell at the GUI layer. Pairs with the device:operator agent, which carries the shared snapshot, verify, and record discipline; this skill carries the desktop-specific tooling and rules and pulls the device-computer capability automatically.

Apache-2.0 Requires the device:operator agent. The host OS must grant Accessibility and Screen Recording permissions (macOS), or the equivalent input-monitoring permission (Linux / Windows), to the process running the MCP server.

Browser Backlink Submission Execution

skill

Operational playbook for executing backlink submissions via a headless browser: driving directory, listing, and business-profile forms with Playwright, mapping a single site profile to per-target fields, handling signup + email verification + captchas, human-paced throttling within Google's link-spam policies, and producing an auditable submission log. Activate only when the user has a qualified prospect list and wants the browser to submit. Prospect discovery, qualification, and anchor/description copy are upstream concerns; this skill is execution-only.

Apache-2.0 Requires browser:general agent with browser (Playwright) capability and filesystem-write. Assumes a prospect list already qualified for safety and topical fit.

TikTok Publishing Playbook

skill

Draft and revise TikTok scripts, captions, and publishing packages in an identifiable author's voice. Activate for TikTok posts, product demos, launches, customer proof, and creator collaborations; choose formats by audience intent and separate verified platform guidance from editorial judgment.

Apache-2.0 Text and media editing; browser and TikTok account access for current publishing controls.

Learning Science: Make Studying Actually Stick

skill

The small set of evidence-based study techniques that actually work: retrieval practice, successive relearning, spacing, interleaving, self-explanation, and worked examples, plus how to use AI tutors without outsourcing the thinking, and the popular habits (rereading, highlighting, cramming, learning styles) that only feel productive. Activate when helping someone study, memorize, prepare for a test, or learn a skill, or when they ask how to learn something faster.

Apache-2.0 Any Octomind session. No external tools required; pairs well with an SRS app (Anki) for spaced repetition.

X (Twitter) Trend Harvester Playbook

skill

Harvest X conversations into a sourced topic brief. Activate when asked to scan Twitter or X trends, buyer pains, launch reactions, or post formats; validate live surfaces, compare relevant accounts with explicit metric limits, and distinguish observed patterns from ranking hypotheses.

Apache-2.0 Browser and network access. Use an authorized signed-in X session where required; search availability must be checked in the current session.

Reddit Ads Production Spec

skill

Specifies what to produce for a Reddit ad: Promoted Posts (image, video, link, text), Free-form Ads (the rich-content flagship, launched 2024), Carousel Ads, Conversation Placement Ads, Promoted User Posts (boost an existing organic), Product Catalog Ads, and AMA Ads, with the exact slots, char limits, asset ratios, CTA enum, and the Reddit-specific creative rules (native voice, per-subreddit variants, real-artifact imagery, comment engagement plan) that decide whether the ad performs or gets downvoted into oblivion. Use whenever the task is producing Reddit ad copy or assets; strictly platform-specific, so it does not cover subreddit targeting strategy or Reddit Pixel setup.

Apache-2.0 Octomind launch agents. Platform-specific to Reddit Ads.

Social Go-to-Market Planning

skill

Plan cross-platform social launch, proof, and objection campaigns around buyer needs, sourced evidence, channel roles, reply ownership, and business outcomes. Activate for launch planning, go-to-market strategy, GTM, or social campaigns.

MIT Requires access to campaign source documents and account analytics; network access for source and policy checks.

Instagram Trend Harvester Playbook

skill

Harvest Instagram post, carousel, Reel, and audio patterns into a sourced trend brief with observed metrics, original adaptation angles, and uncertainty. Activate in trend sessions mentioning Instagram or Reels, or on explicit Instagram trend, scan, analysis, or harvest requests.

Apache-2.0 Browser and network access. An authorized Instagram session may be needed; app-only observations require supplied evidence.

Hacker News Trend Harvester Playbook

skill

Harvest Hacker News discussions and inspectable artifacts into a dated, source-linked brief. Activate when researching HN trends, prior submissions, launch examples, or audience objections; separate observed attention from ranking hypotheses and product demand.

Apache-2.0 Requires browser access to Hacker News and Algolia. Inspect removed items with a logged-in profile configured for showdead.

Alpine Linux Operations

skill

Operate Alpine hosts and images with musl ABI awareness, apk repository discipline, OpenRC services, and persistent configuration.

Apache-2.0 An Alpine Linux target with its installed apk/BusyBox tools; OpenRC applies to booted systems that use it.

Octomind-Tap Embed Model Training and Publishing

skill

Operational playbook for training, evaluating, and publishing muvon/octomind-embed, the granite-embedding-30m WiSE-FT soup that powers octomind's capability auto-activation and skill semantic() rules. Covers when to retrain (any change to capabilities/*/config.toml triggers or skills/*/SKILL.md semantic phrases), the bin/train pipeline (LLM augmentation, dataset build, hard-negative re-mining, CachedMNRL + Matryoshka fine-tune, soup sweep, holdout and eval_real evaluation, int8 ONNX export and calibration), resuming an interrupted run, calibrating the runtime threshold and margin, publishing behind the regression gate, and recording the baseline. Use when triggers or semantic rules change, when retraining or republishing the tap model, or when auto-activation picks the wrong capability.

Apache-2.0 octomind-tap repo with the model/ subdirectory. Requires Python 3.11+, uv, ANTHROPIC_API_KEY for LLM augmentation, HF_TOKEN with write scope for publishing. GPU optional.

Threads Trend Harvester Playbook

skill

Harvest current Meta Threads conversations into a source-backed brief with post URLs, visible metrics, audience questions, and reusable structures. Activate for Threads trend scans or campaign research; distinguish observed conversation from inferred reach and buying intent.

Apache-2.0 Browser access and network. Authorized signed-in access where a surface requires it.

LinkedIn Publishing Playbook

skill

Write and revise LinkedIn posts, launch copy, comments, and supporting profile or long-form copy in the author's documented voice. Activate for LinkedIn drafting, with evidence-led format selection, customer-proof handling, and a complete publishing package.

Apache-2.0 Browser and network access for source checks and LinkedIn previews.

Threads (Meta) Publishing Playbook

skill

Write and revise Meta Threads posts, replies, and launch copy in the author's documented voice, covering format choice, honest proof, conversation, and conversion paths. Use for posting on Threads, a Threads campaign, or a threads.com brief; excludes multi-post threads on other platforms.

Apache-2.0 Network access for source checks; a Threads account for composer and publishing checks.

YouTube Thumbnail Maker: Shorts, Reels, and TikTok Covers

skill

YouTube thumbnail maker workflow for marketing and creator videos: one clear promise per thumbnail, candidate frames pulled from the footage, cut-out faces and products, AI-generated backgrounds without baked-in text, 2-5 words of outlined text fitted and set by a libass renderer, feed-size previews with the duration badge, and three Test & Compare variants that change one variable. Covers 2026 specs for YouTube long-form and Shorts, TikTok and Reels covers with the 3:4 grid crop, and thumbnail policy. Use whenever a video needs a thumbnail, a cover image, or thumbnail A/B test variants.

Apache-2.0 Requires: python3 and an ffmpeg built with libass (macOS: Homebrew ffmpeg-full). Optional: uvx for rembg subject cut-outs. macOS/Linux.

LinkedIn Ads Production Spec

skill

Specifies what to produce for a LinkedIn ad: Sponsored Content (single image, video, carousel, document), Message Ads, and Text Ads, with the exact slots (intro text, headline, description), character limits, asset ratios, the CTA enum per format, and the professional-context rules that decide whether B2B audiences engage or scroll past. Use whenever the task is producing LinkedIn ad copy or asset briefs; strictly platform-specific, so it does not cover audience filters, matched audiences, or LinkedIn Insight Tag setup.

Apache-2.0 Octomind launch agents. Platform-specific to LinkedIn Ads.

Blog Formats: Choosing by Search Intent

skill

Blog post formats by search intent: a playbook for articles and blog posts. Read the live results page, classify intent, and pick the format: how-to, best-of list, X vs Y comparison, alternatives page, single review, guide or pillar, glossary entry, original data study, case study, FAQ page, template or checklist, calculator-style page, news update, or opinion piece. Each format comes with its required elements and failure modes. Also covers collecting first-hand experience from the author instead of inventing it, methodology and disclosure notes, depth without word-count targets, titles and intros, honest dates, and refreshes. Use when planning, outlining, drafting, or refreshing a piece meant to rank in Google and Bing and be cited by AI answer engines.

Apache-2.0 Web search and page fetch for competitor and source pages; Google-only results features need a user screenshot, Search Console data, or a SERP-data tool.

Cold Email Copywriting and Follow-Up Templates

skill

Cold email copywriting and follow-up templates: subject lines, personalized openers, short bodies, soft asks, and outreach cadence. Use when drafting or rewriting cold emails, LinkedIn messages, or follow-ups.

Apache-2.0 Environment-independent; web search helps personalization research. Any OS.

Fact Grounding & Anti-Hallucination

skill

Verify factual claims, preserve source meaning during edits, and separate publishable copy from evidence notes. Use for product, technical, customer-proof, and current-event content.

Apache-2.0 Source documents or text; websearch and webfetch for live checks when required.

ATS-Friendly Resume PDF: Typeset Resumes with RenderCV

skill

ATS-friendly resume PDF builder that ships the file, not just the text: the tailored resume as RenderCV YAML, typeset to a clean single-column PDF with an ATS-safe theme (plain-text links, no icon fonts, no header note), paper size by market, a page-count check, a text-layer check that shows what an applicant tracking system will parse, a DOCX twin for portals that want Word, and a matching cover-letter PDF. Use whenever a resume or CV has to be delivered as a PDF or Word file.

Apache-2.0 Requires: rendercv (installed with uv), poppler-utils; doc-export with pandoc and typst for the DOCX twin and cover letter. macOS/Linux.

Content Humanization

skill

Review and revise stiff or formulaic writing with an evidence-based eight-dimension editorial diagnostic and seven-pass edit. Preserve facts, author voice, and platform authorship rules; no detector-evasion promises.

Apache-2.0 A draft and its intended audience/platform; source records and author samples when available.

Java Development Best Practices

skill

Modern idiomatic Java best practices for AI coding agents: records, sealed types, pattern matching, virtual threads, and explicit failure contracts. Auto-activates in Java projects.

Apache-2.0 Requires the project's JDK and Maven or Gradle; guidance distinguishes Java 17, 21, 25, and later feature releases.

React Development Best Practices

skill

React best practices for AI coding agents: architecture, hooks, state boundaries, server components, and library choices that scale. Auto-activates in React projects.

Apache-2.0 Requires Node.js and a package manager.

Octomind CLI & Session Commands

skill

Reference for driving the octomind binary: the run, server, acp, login, config, tap, untap, vars, send, evaluate, workflow, and completion commands and their flags, the interactive slash commands, provider API-key environment variables, .env precedence, and OCTOMIND_* overrides. Activate when a user asks how to invoke octomind, which flag or slash command does what, how to resume or daemonize a session, or which environment variable a provider reads.

Apache-2.0 Requires: octomind binary on PATH. macOS/Linux/Windows.

Chinese Native-Fluency Calibration

skill

Per-language calibration anchors for detecting AI-slop and translationese in Chinese (zh) target text; auto-loads alongside content-locale-humanize when the target language is Chinese.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

ATS Resume Optimization & Per-Job Tailoring

skill

How modern applicant tracking systems (ATS) rank resumes in 2026 and how to tailor a resume per job posting so it clears them: keyword strategy grounded in the candidate's real experience, job-title placement, coverage targets, parser-safe formatting, knockout questions, and the anti-stuffing and hidden-text rules that screeners and recruiters now catch. Truthful tailoring only.

Apache-2.0 No external tools required. Works on any resume text; parser-safe output is plain-format friendly.

Rust Development Best Practices

skill

Idiomatic Rust best practices for AI coding agents: architecture, ownership patterns, and ecosystem choices that survive long-term maintenance. Auto-activates in Rust projects.

Apache-2.0 Requires cargo and rustc toolchain.

Italian Native-Fluency Calibration

skill

Per-language calibration anchors for detecting AI-slop and translationese in Italian (it) target text; auto-loads alongside content-locale-humanize when the target language is Italian.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

Investor Email Templates – Warm Intros and Follow-Ups

skill

Investor email templates for startup fundraising: cold emails to investors, warm intro requests, forwardable blurbs, follow-ups, and investor updates, plus fit scoring and a tracker. Use when planning investor outreach or drafting fundraising messages.

Apache-2.0 Needs web search for investor research. Any OS.

Agent Manifest Authoring

skill

Guide for writing Octomind agent manifests: TOML format, required and forbidden fields, capability tiers, system prompt structure and tone for current models, sampling and model settings, placeholders, lint rules, and the pre-write checklist. Activate when creating or editing agents/<domain>/<spec>.toml files.

Apache-2.0 Requires: an Octomind tap checkout with scripts/lint-manifests.sh and bin/load.

Link Building Outreach Templates – Guest Posts and Backlinks

skill

Link building outreach templates for guest post pitches, backlink outreach emails, broken-link reports, resource pages, and link reclamation. Use when drafting pitches and follow-ups to site owners or editors from an existing prospect list.

Apache-2.0 Needs web search and page fetch for prospect research. Any OS.

Bluesky Publishing Playbook

skill

Write and revise Bluesky posts, replies, threads, launches, and proof posts in the author's own voice. Activate for Bluesky drafting, format selection, community participation, or a publishing package with sourced claims and an explicit next step.

Apache-2.0 Bluesky app or browser access for composer checks; network access for source and destination verification.

Tap Skill Authoring

skill

Guide for creating AgentSkills-compliant SKILL.md packs in an Octomind tap: frontmatter fields, auto-activation rules and domains, bundled resources, validate scripts, body structure, tone, and the lint gates. Activate when creating or editing skills/<name>/SKILL.md files.

Apache-2.0 Requires: an Octomind tap checkout with scripts/lint-skills.sh.

X (Twitter) Ads Production Spec

skill

Specifies what to produce for an X (Twitter) ad: Promoted Posts, Website Cards, App Cards, and Video Ads, with the exact slots (post text, card title, CTA enum), character limits (280 post, 70 card title), asset ratios, and the native-feel rules that decide whether the algorithm classes it as quality content or scroll-past. Use whenever the task is producing X ad copy or card assets; strictly platform-specific, so it does not cover audience targeting, conversion tracking, or organic posting strategy.

Apache-2.0 Octomind launch agents. Platform-specific to X/Twitter Ads.

Hindi Native-Fluency Calibration

skill

Per-language calibration anchors for detecting AI-slop and translationese in Hindi (hi) target text; auto-loads alongside content-locale-humanize when the target language is Hindi.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

C# and .NET Development Best Practices

skill

Modern C# and .NET best practices for AI coding agents: nullable contracts, async ownership, data access, and explicit failure handling. Auto-activates in .NET projects.

Apache-2.0 Requires the project's modern .NET SDK and target framework; newer language/API features are version-gated.

Analytical Report Craft

skill

Turn raw data into a decision-ready report a human actually reads: structured by the Minto Pyramid (answer first), every number traced to the data, the right chart for each question, and delivered as a self-contained HTML document that opens in any browser and prints to clean PDF with no dependencies. The output is format-flexible, grounded, and never fabricated.

Apache-2.0 Produces self-contained HTML by default; markdown or PDF when requested and a renderer is available.

Capability Authoring

skill

Guide for creating Octomind capabilities: the config.toml triggers file, provider files and the default.toml symlink, MCP server wiring with env and headers, version pins, setup-symlinks.sh registration, and the validation checklist. Activate when creating or editing capabilities/<name>/ files.

Apache-2.0 Requires: an Octomind tap checkout with scripts/lint-capabilities.sh and scripts/setup-symlinks.sh.

Free-Tool Discovery for Backlinks & Traffic

skill

Validation funnel for deciding which free tool to build for backlinks, embeds, and AI-search citation, encoding the data-moat-first methodology: niche-fit gate, data inventory, 5-candidate scoring across niche/moat/SEO/feasibility/monetization, alignment checklist, and a strategy brief. Use before any tool-build work to avoid commodity tools that earn nothing; skip if the user has already validated the concept and just wants to build, since the deliverable is the brief and the build itself is downstream.

Apache-2.0 Stack-agnostic. Requires websearch and webfetch for competitor and SERP scans.

Fedora Operations

skill

Diagnose and maintain Fedora systems with release-aware DNF5, Atomic deployment, SELinux, networking, and rootless container guidance.

Apache-2.0 Requires access to the target Fedora system or its configuration and logs; administrative changes require appropriate privileges.

Prompt Engineering: SOTA 2026 Toolkit

skill

Generate, improve, analyze, and debug LLM prompts. Activate only when the user explicitly asks to write, rewrite, optimize, diagnose, or design a prompt/system prompt, or names a prompt-engineering technique.

Apache-2.0 Works with any LLM. Anthropic-specific notes flagged inline (Claude 4.6+ and Claude 5 family behavior, XML tags, effort levels, structured outputs).

Behavioral Spec Authoring

skill

How to write a behavioral spec an autonomous agent can implement with zero unstated assumptions: EARS requirement patterns, the requirements/constraints/verification triple, proof forms (scenario, property, check), wording discipline, spec layering and split rules (repo/feature/task, parent-child), divergence-based clarification for interactive and autonomous runs, and the scratchpad rewrite discipline. Activate when writing, revising, or reviewing a feature spec or acceptance criteria.

Apache-2.0 Language-agnostic. Needs a codebase to ground the spec in and filesystem/search access to verify every cited path.

Mastodon Publishing Playbook

skill

Write and revise Mastodon posts, replies, launches, and proof updates in the author's documented voice, covering discovery, visibility, accessible publishing, disclosure, and qualified follow-up. Activate for Mastodon or Fediverse publishing briefs; check the actual server before applying Mastodon mechanics elsewhere.

Apache-2.0 Browser or HTTP access for current server rules, composer limits, and source verification.

Kotlin Development Best Practices

skill

Idiomatic Kotlin best practices for AI coding agents: null-safety, coroutine ownership, Flow delivery, and Android/Multiplatform boundaries. Auto-activates in Kotlin projects.

Apache-2.0 Requires the project's Kotlin toolchain; JDK for JVM targets, Android SDK for Android, platform tools for Native targets.

Guest Posting: Editorial Pitches & Safe Link Strategy

skill

Operational skill for landing genuine editorial guest posts that earn high-quality contextual links without tripping Google's link spam and scaled content abuse policies. Encodes the 7-stage workflow (author tier-mapping, discovery operators, 11-point site qualification, content-gap topic ideation, 80-150-word pitch architecture, post writing standards by tier, internal-link strategy, anchor distribution, follow-up). Bakes in Google's hard kill-rules (paid placements, optimized anchors in guest posts, duplicate content, AI-content farms), a practitioner anchor-distribution heuristic (branded majority, exact-match minority), and link-placement rules (1-2 contextual body links + 1 bio). Use BEFORE writing any pitch. Stays in the SEO lane: produces strategy, target list, topics, pitch brief; does not write the email or post itself.

Apache-2.0 Stack-agnostic. Requires websearch and webfetch for discovery and qualification.

Octomind Workflow Design & Syntax

skill

Guide for octomind workflow files: pipeline design (pattern selection, step decomposition, sentinel handoff contracts, loop convergence, context economics) plus the exact TOML syntax for the external orchestrator that chains octomind run subprocesses. Covers sequential, parallel (static, count, dynamic fan-out), loop, conditional, and graph-routed steps, variable substitution, session modes, pre-flight validation, tap workflows, and the CLI. Activate when designing, authoring, validating, or debugging a workflow .toml file.

Apache-2.0 Requires: octomind CLI with the `workflow` subcommand. Workflows are stdin-driven; every referenced role must be an installed role or tap-agent tag.

Landing Page Craft: UI, Conversion, and System Patterns

skill

Production playbook for building modern lightweight landing pages that sell. Covers automatic dark/light theming via CSS custom properties, system-font Apple-style typography, opinionated section anatomy (hero, features, comparison, pricing, FAQ, footer CTA), conversion-focused copy hierarchy, SEO/OG/JSON-LD baseline, and the structural patterns that move visitors to purchase. Activate whenever drafting, designing, or implementing a marketing or product landing page.

Apache-2.0 Stack-agnostic — examples use SvelteKit + plain CSS but rules apply to any HTML/CSS framework.

Meta Ads Production Spec (Facebook + Instagram)

skill

Specifies what to produce for a Meta ad: Facebook Feed, Instagram Feed, Stories, Reels, and the CTA enum, with the exact slots (primary text, headline, description, CTA button), character limits, asset ratios (1:1, 4:5, 9:16), policy filters, and the truncation behavior that decides whether anyone reads past the fold. Use whenever the task is producing Meta ad copy or asset briefs; strictly platform-specific, so it does not cover audience setup, pixel events, or campaign objectives.

Apache-2.0 Octomind launch agents. Platform-specific to Meta (Facebook + Instagram).

Video Spec Sheet: Platform Specs and Safe Zones

skill

Canonical reference for platform-by-platform video output specs: aspect ratio, length cap, codec, bitrate, frame rate, color, caption style and safe-zone bands. Per-platform spec table covers TikTok, Reels, Shorts, IG/FB feed, Stories, Snapchat, YouTube long-form, X, LinkedIn, and Pinterest, plus safe-zone reserves, caption rules, and copy-paste ffmpeg presets. Use when picking output settings, validating an export, or spec-checking before publishing.

Apache-2.0 Stack-agnostic.

Code Review Lenses & Adversarial Verification

skill

The dimensions of a deep code review: correctness, security, concurrency, performance, design/maintainability, and tests; what each lens hunts for; and the adversarial verification discipline that keeps a multi-reviewer pass from multiplying false positives. Consensus is not correctness; every finding must be refuted before it is trusted.

Apache-2.0 Requires read access to the code under review. Powers multi-lens parallel review plus an adversarial verify gate.

On-Page Content SEO Audit

skill

Operational playbook for diagnosing the on-page content layer of a page or page set: title and meta description optimization, heading structure, search-intent match, answer placement and AI-search visibility per Google's 2026 guidance, E-E-A-T proof (author byline, experience signals, named specifics), and information-gain vs the top 10 SERP results. Encodes the per-check rubric, the severity matrix, and the unverified-check escalation rule. Use when auditing the on-page content surface of one or more URLs. Output: prioritized content findings with cited evidence and fix direction.

Apache-2.0 Stack-agnostic. Requires webfetch (target page + top-10 SERP pages) and websearch (SERP for the target keyword + competitor pages).

Microsoft Advertising (Bing) Production Spec

skill

Specifies what to produce for a Microsoft Advertising (Bing) creative: Responsive Search Ads, Multimedia Ads (with 90-char long headlines), Audience Ads (MSN, Outlook.com, Edge), Performance Max, Shopping, and Lodging/Travel verticals, with exact slots, char limits, asset ratios, CTA enum, the AI Max and Copilot creative controls, a LinkedIn Profile Targeting note, and the trademark/political/regional policy differences from Google. Use whenever the task is producing Microsoft Ads / Bing copy or assets; strictly platform-specific, so it does not cover keyword strategy, bidding, audience setup, or UET pixel.

Apache-2.0 Octomind launch agents. Platform-specific to Microsoft Advertising (Bing, Yahoo/AOL syndication, MSN, Outlook.com, Edge, Copilot).

Thai Native-Fluency Calibration

skill

Per-language calibration anchors for detecting AI-slop and translationese in Thai (th) target text; auto-loads alongside content-locale-humanize when the target language is Thai.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

Spanish Native-Fluency Calibration

skill

Per-language calibration anchors for detecting AI-slop and translationese in Spanish (es) target text; auto-loads alongside content-locale-humanize when the target language is Spanish.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

Reddit Publishing Playbook

skill

Draft and revise Reddit posts, comments, AMAs, and product launches in the author's documented voice. Use when preparing content for a subreddit: check community rules, choose a native format, ground claims in supplied proof, disclose affiliations and AI use, and plan useful replies and outcome measurement.

Apache-2.0 Requires network access to current Reddit rules and post pages; some research requires an authenticated session.

Link Profile SEO Audit

skill

Operational playbook for diagnosing the off-page link surface of a site: referring-domain quality distribution, unique-root-domain count, anchor-text distribution and over-optimization risk, toxic-neighborhood detection, paid-link risk patterns, link gap vs named competitors, and community/forum presence (Reddit and niche communities, which hold many SERP and AI-answer citations). Encodes the fetch protocol (parallel web search + page reads + competitor backlink discovery), the per-check rubric, the severity matrix, and the unverified-check escalation rule. Use when auditing the link profile of a site or a specific URL. Output: prioritized link-profile findings with cited evidence and fix direction.

Apache-2.0 Stack-agnostic. Requires websearch + webfetch. Free path covers 80% via SERP operators, site: queries, and competitor public-link discovery. Paid path (Ahrefs / SEMrush / Majestic / Moz Link Explorer) provides referring-domain census and anchor-distribution data at scale.

AI Agent Design: Loops, Tools, Schemas, Orchestration

skill

Operational playbook for designing production LLM agents in 2026. Covers agent loop patterns (ReAct, Reflexion, Plan-and-Execute, native tool use), tool schema engineering (descriptions, strict mode, input examples, tool search, anti-patterns), the Agent Skills open standard, Model Context Protocol (spec 2026-07-28) integration and security, multi-agent orchestration (LangGraph, CrewAI, AutoGen, vendor agent SDKs) with cost trade-offs, error handling, loop prevention and unattended-run termination, observability via OpenTelemetry GenAI semantic conventions, OWASP LLM and Agentic Top 10 mapping, and context engineering (just-in-time retrieval, compaction, memory, sub-agent isolation, caching). Use when designing a new agent, picking an orchestration framework, debugging a misbehaving agent, or hardening tool exposure. Output: agent specs with named patterns, cost projections, observability hooks, and OWASP-mapped risk surfaces.

Apache-2.0 Stack-agnostic. Production agent stacks typically need: LLM provider SDK (Anthropic / OpenAI / Google), an orchestration framework or hand-rolled loop, a tracing backend (Langfuse / Phoenix / OpenTelemetry collector), MCP servers or REST tools.

Markdown Slides with Marp: Decks to PDF and PowerPoint

skill

Markdown slides with Marp, rendered and checked instead of handed over raw: one assertion per slide, speaker notes in comments, a clean bundled theme (title, divider, big-number, quote, two-column, and dark layouts), brand color in one line, a slide linter for word count, bullets, topic-label titles, alt text, and missing notes, and export to PDF, HTML, PowerPoint, notes, and PNG previews with an automatic check for text that overflows the slide. Use whenever a talk, pitch, board, sales, or training deck has to ship as a file.

Apache-2.0 Requires: python3, Node.js (npx), and Chrome, Edge, Chromium, or Firefox (the installer adds Playwright's Chromium when none is present). Editable PPTX also needs LibreOffice. macOS/Linux.

Reddit Trend Harvester Playbook

skill

Harvest Reddit conversations and community-specific opportunities with cited posts, current rule checks, and explicit coverage limits. Activate when researching Reddit trends, scanning subreddits, or preparing a Reddit evidence brief; return observed patterns and qualified angles for downstream drafting.

Apache-2.0 Requires browser and network access; some Reddit surfaces require an authenticated session.

Google Ads Production Spec

skill

Specifies what to produce for a Google Ads creative: Search RSA, Performance Max, and Display, with the exact slots (headlines, descriptions, paths, long headline, long description), character limits, pinning rules, asset ratios, and policy constraints so copy fits before it is pasted into Google Ads Editor. Use whenever the task is producing Google Ads ad copy or assets; strictly platform-specific, so it does not cover bidding, keywords selection, audience setup, or attribution.

Apache-2.0 Octomind launch agents. Platform-specific to Google Ads.

Global Resume & CV Conventions

skill

Country-by-country conventions for job-application documents in 2026: resume vs CV terminology, length, whether to include a photo, data-processing consent clauses, work-authorization lines, date and locale formatting, and personal-data norms. Adapt an application to the target market so it reads correctly and stays legally safe wherever it's sent.

Apache-2.0 No external tools required. Markets covered: US/CA, UK/IE, continental Europe, AU/NZ, plus photo/data norms for DE, FR, and Asia.

PHP Development Best Practices

skill

PHP 8 best practices for AI coding agents: write and review concise, typed PHP 8.x code with version-aware features through PHP 8.5, explicit validation, and practical quality checks. Auto-activates in PHP projects.

Apache-2.0 PHP 8.2+ and Composer. Newer features require the corresponding PHP version and compatible tooling.

Content Audit Rubric & Scoring Harness

skill

Read-only audit harness for content quality: detects the content type (X post / X thread / LinkedIn / Threads / Bluesky / Mastodon / Hacker News / Reddit post, or blog / article), routes to the matching social-* skill plus the cross-cutting voice/humanize/grounding/geo checks, scores per-axis 0-10 + overall 0-100, and emits a canonical findings report with severity tiers, evidence, and suggested rewrites. For X surfaces also emits a Phoenix-style verdict (Pass / Borderline / Likely-Suppressed / Kill-Switch-Risk); single source of truth for the diagnostic shape, used by content:audit (read-only) and content:editor (diagnose-then-edit).

Apache-2.0 Read-only. Requires filesystem read access for file inputs; live SERP or source checks need network access.

Linux Operations Foundation

skill

Identify and operate Linux hosts, VMs, and containers: distro and ABI boundaries, services, resource limits, networking, and evidence-based recovery.

Apache-2.0 A Linux target and its available administration tools; target access may be local or remote.

Swift Development Best Practices

skill

Modern Swift best practices for AI coding agents: value semantics, API design, isolation, task ownership, and package compatibility. Auto-activates in Swift projects.

Apache-2.0 Requires the project's Swift toolchain; newer features are gated by compiler, language mode, and target platform.

X (Twitter) Publishing Playbook

skill

Write and revise X posts, replies, threads, profiles, and launch proof in the author's documented voice. Activate for X or Twitter publishing copy, product announcements, demos, customer outcomes, and post-publication reply plans, choosing formats and conversion paths using dated evidence without inventing experience or promising reach.

Apache-2.0 Text editing; network access for source checks and a signed-in X session for account-specific format validation.

Structural / Technical SEO Audit

skill

Operational playbook for diagnosing the structural and technical layer of a site or page: crawlability (robots.txt), indexability (meta robots, canonicals), sitemap.xml validity, redirect chains, JSON-LD schema validation, Core Web Vitals interpretation, hreflang, JS-render parity, URL architecture, and internal-link topology. Encodes the fetch protocol (parallel webfetch + shell curl), the per-surface check rubric, the severity matrix (Critical / Moderate / Minor), and the unverified-check escalation rule. Use when auditing the technical layer of a URL, sitemap, or site. Output: prioritized structural findings with evidence and fix direction.

Apache-2.0 Stack-agnostic. Requires webfetch (for HTML/JSON-LD/page response) and shell (for curl, sitemap parsing, optional Lighthouse/PSI). Optional: GSC and crawler-tool MCPs for richer signal.

YouTube Publishing Playbook

skill

Write YouTube scripts and publishing packages in the author's documented voice, covering format choice, honest packaging, spoken delivery, and qualified next steps. Activate for titles, thumbnails, descriptions, Shorts, channel posts, product launches, demonstrations, customer proof, or revisions using audience feedback.

Apache-2.0 Text and media editing; network and YouTube Studio access for account-specific publishing checks.

Octomind Configuration Reference

skill

Field-by-field reference for octomind's config.toml: the [model] profile and its per-boundary overrides, limits and spending caps, [capabilities] and [taps] overrides, [[roles]] with [roles.model] and [roles.mcp], [mcp] servers (builtin, http, stdio), [[hooks]], [[layers]], [[commands]], [[agents]], [[prompts]], [skills], [timing], [compression], [registry], multi-file merge, project guardrails, and template variables. Activate when a user asks how to configure, tune, validate, or upgrade octomind, add a role or MCP server, set limits or spending caps, or debug a config parse error.

Apache-2.0 Requires: octomind binary for `octomind config --validate`. macOS/Linux/Windows.

Bluesky Trend Harvester Playbook

skill

Harvest Bluesky conversations, formats, and launch evidence into a sourced brief. Activate when scanning Bluesky trends or researching post angles, custom feeds, and relevant community responses; record observed surfaces and account baselines without inventing amplification paths.

Apache-2.0 Browser access and network access. Use the available Bluesky session; record signed-in state and unavailable surfaces.

LinkedIn Trend Harvester Playbook

skill

Harvest LinkedIn posts and conversations into a sourced brief for a specific audience. Activate for LinkedIn trend scans or research briefs; capture current surfaces, buyer questions, format patterns, and evidence limitations without inventing ranking weights.

Apache-2.0 Browser access and network. Signed-in LinkedIn session for personalized feed and search.

Long-Tail Keyword Research: Low-Competition Discovery

skill

Finds long-tail keywords through intent analysis, query expansion, and competitor-page review. Use for prioritized keyword briefs and content-gap research.

Apache-2.0 Requires web search and page fetching. Authenticated SEO providers additionally require their documented credentials and API access; Search Console needs a private service-account JSON file.

Git Workflow: Commits, Branches, Rebasing

skill

Git commit message conventions, branch naming, and workflow best practices for clean version history. Activate when committing, branching, rebasing, or reviewing git history.

Apache-2.0 Requires git. Works with any git-based project.

Mobile Device UI Automation

skill

Operate iOS and Android devices (real hardware, simulators, and emulators) via the mobile-mcp server. Covers device discovery and selection, app install, launch, and terminate, accessibility-tree targeting, taps, swipes, typing, and device-button presses, orientation handling, and the safety boundary around app-store, jailbreak, biometric, and in-app-purchase protections. Activate when the user wants to drive a phone or tablet (iPhone, Android, iOS Simulator, Android Emulator) through a UI flow. Pairs with the device:operator agent, which carries the shared snapshot, verify, and record discipline; this skill carries the mobile-specific tooling and rules and pulls the device-mobile capability automatically.

Apache-2.0 Requires the device:operator agent. iOS work needs Xcode + Xcode CLT and a paired developer-mode device or simulator. Android work needs platform-tools (adb) on PATH and an emulator or USB-debug-enabled device.

DEV Community (dev.to) Publishing Playbook

skill

Write and revise DEV articles, discussions, comments, and launch or proof material in the author's documented voice. Activate for dev.to drafts, publishing packages, series, challenge entries, or company cross-posts; apply current disclosure and promotion rules before preparing copy for publication.

Apache-2.0 Markdown editor; network access for DEV policy, editor, and tag checks.

Cold Email Deliverability – SPF, DKIM and DMARC

skill

Cold email deliverability guidance for SPF, DKIM, and DMARC setup, sending domains, email warmup, volume caps, and list hygiene. Use when planning outreach infrastructure or diagnosing spam placement and bounces.

Apache-2.0 Needs DNS access for the sending domain to apply changes. Any OS.

Japanese Native-Fluency Calibration

skill

Per-language calibration anchors for detecting AI-slop and translationese in Japanese (ja) target text; auto-loads alongside content-locale-humanize when the target language is Japanese.

Apache-2.0 Calibration data only; no tools required. Network access helps for usage checks.

Octomind Supervisor & Learning

skill

Reference for octomind's out-of-band control plane: the self-report token, deterministic loop/no-progress/recovery detectors, the verify-gate on every turn stop, the supervisor-owned plan manager, condense, steer, recite, the optional tool authorizer, calibrated evaluation gates and hindsight, and cross-session lessons, orientation, and experience memory with optional evolution, together with the strict [supervisor] config sections. Activate when a user asks why a turn was re-run or gated, how the detectors work, why a tool call was blocked, how lessons are stored and recalled, why tool output was condensed, or how to tune any [supervisor.*] section.

Apache-2.0 Requires: octomind binary. macOS/Linux/Windows.