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Agent Skills

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authentication-patterns

Provides auth patterns for API keys, OAuth, and token management. Use when implementing or reviewing service authentication and credential handling.

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bloat-detector

Detects codebase bloat via dead code, duplication, complexity, and doc bloat scans. Use when codebase feels large or before a release.

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browser-recording

Records browser sessions via Playwright and converts video to GIF. Use when creating web UI tutorials or demos showing browser interactions.

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bug-review

Hunts bugs with evidence trails. Use when investigating unexpected behavior or before merging code with potential hidden defects.

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catchup

Summarizes recent git changes for context recovery after session breaks. Use when resuming work after a gap or handing off to another session.

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clear-context

Manages context overflow by handing off to a fresh subagent at 80% usage. Use when context pressure is critical and work must continue uninterrupted.

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code-quality-principles

Applies KISS, YAGNI, and SOLID principles for clean code with reduced complexity. Use when refactoring or reviewing code for over-engineering.

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code-refinement

Improves code quality across duplication, efficiency, and architectural fit. Use when code passes tests but quality is poor or before a major release.

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code-search

Searches GitHub for existing implementations, libraries, or patterns. Use when finding code examples or prior art on a topic during a research session.

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commit-messages

Generates conventional commit messages from staged changes. Use when committing and needing a well-formatted message. Do not use for full PR prep; use pr-prep.

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compression-strategy

Recommends context compression strategies for bloated or quota-heavy sessions. Use when context feels sluggish or quota burns faster than expected.

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computer-control

Automates desktop GUI workflows via computer use API with screenshot capture. Use when scripting GUI interactions or recording browser sessions for tutorials.

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content-sanitization

Provides sanitization guidelines for external content in skills and hooks. Use when loading GitHub Issues, PRs, WebFetch results, or any untrusted input.

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context-optimization

Optimizes context window via MECW principles and memory tiering. Use when context exceeds 30% or before long multi-step tasks.

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cpu-gpu-performance

Establishes CPU/GPU baselines before resource-intensive operations. Use before builds, training runs, or any task that pins cores or GPUs for over a minute.

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damage-control

Recovers broken agent state via crash recovery, context overflow, and merge conflict protocols. Use when an agent session fails or a worktree is corrupted.

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decisive-action

Guides when to ask clarifying questions versus proceed autonomously. Use to reduce unnecessary clarifying questions when intent is clear.

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deferred-capture

Defines the contract for deferred-item capture across plugins. Use when building or validating a plugin's deferred-capture wrapper or adding source labels.

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delegation-core

Delegates execution to eight CLIs (Gemini, Qwen, MiniMax, GLM, Muse, Codex, OpenCode, Glimmer). Use for execution tasks. Do not use for secrets.

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diff-analysis

Analyzes changesets with risk scoring, categorization by type and impact, and release note preparation. Use when extracting insights from raw change data.

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dig

Refines an active research session by drilling deeper into a subtopic. Use after tome:research to narrow results to a specific channel or angle.

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digital-garden-cultivator

Manages digital garden notes, link structures, and health metrics. Use when curating a knowledge base, pruning stale notes, or tracking content maturity.

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discourse

Scans HN, Lobsters, Reddit, and tech blogs for community experience reports. Use when gathering practitioner opinions on a technology or approach.

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doc-consolidation

Merges ephemeral report and analysis artifacts into permanent documentation. Use when LLM-generated markdown files have accumulated and need consolidation.

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doc-generator

Generates or remediates documentation with human-quality writing. Use when creating new docs, rewriting AI-generated content, or applying style profiles.

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doc-importer

Converts external documents (PDF, DOCX, PPTX, XLSX, HTML) into editable markdown. Use when ingesting external files for rewriting or project integration.

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document-conversion

Converts documents and URLs to markdown via tiered fallback (MCP markitdown, native tools, user notice). Use when a skill must ingest PDF, DOCX, or URL content.

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doc-updates

Updates documentation after code changes with quality gates, slop detection, and accuracy checks. Use when code changes require corresponding doc updates.

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do-issue

Implements GitHub or GitLab issues via parallel subagents with review gates between task batches. Use when resolving multi-step issues end-to-end.

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dorodango

Polishes working code through successive quality passes in fresh subagents. Use after tests pass when code needs multi-dimension refinement before release.

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error-patterns

Provides error classification, recovery, and graceful-degradation patterns. Use when implementing error handling or debugging resilience failures in any skill.

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escalation-governance

Assess whether to escalate models. Use when evaluating reasoning depth.

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evaluation-framework

Provides weighted scoring, rubrics, and decision-threshold patterns. Use when designing quality gates, evaluation systems, or decision frameworks.

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feature-review

Scores backlog items with RICE/WSJF/Kano and files GitHub issues for top candidates. Use when triaging a roadmap or prioritizing features for a sprint.

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file-analysis

Maps file structure and module organization of a codebase. Use before architecture reviews, refactoring planning, or migration scope estimation.

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gemini-delegation

Delegates tasks to Gemini CLI implementing delegation-core for Google's models. Use when delegation-core selects Gemini or 1M+ token context is needed.

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gif-generation

Converts webm/mp4 video files to optimized GIFs via ffmpeg with configurable quality settings. Use when post-processing recordings into shareable GIFs.

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github-initiative-pulse

Generates markdown digests and CSV exports for GitHub initiative health. Use when reporting on issue/PR progress across a milestone or project.

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git-platform

Detects git forge (GitHub/GitLab/Bitbucket) and maps CLI commands cross-platform. Use when writing skills that must run on any git hosting provider.

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git-workspace-review

Verifies workspace state and staged changes as a read-only preflight. Use before commits or PRs to confirm staged set is clean and correct.

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hook-authoring

Guide creating Claude Code hooks with security-first design. Use for validation and enforcement.

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hooks-eval

Evaluate hook security, performance, and SDK compliance. Use for audits.

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install-watchdog

Installs egregore watchdog daemon via launchd or systemd for autonomous relaunching. Use when setting up egregore on a new machine. Do not use on CI/CD runners.

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knowledge-intake

Processes external resources into stored knowledge with quality scoring and routing. Use when ingesting articles, papers, or docs into a memory palace.

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knowledge-locator

Searches and navigates stored knowledge in memory palaces. Use when looking for previously stored information or cross-referencing concepts across palaces.

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latent-space-engineering

Shapes agent behavior via instruction framing and style transfer. Use when composing dispatch prompts or writing skill instructions for parallel review agents.

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makefile-generation

Generates Makefiles with testing, linting, formatting, and automation targets. Use when starting a project or standardizing build automation.

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makefile-review

Audits Makefiles for build correctness, portability, and recipe duplication. Use when reviewing a Makefile or before committing Makefile changes.

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markdown-formatting

Enforces markdown line-wrap and structure rules for clean git diffs. Use when writing or editing any committed markdown documentation or skill file.

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math-review

Verifies math-heavy code for algorithmic correctness and numerical stability. Use when reviewing scientific algorithms, ML models, or numerical code.

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.