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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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notes

Search, browse, create, and delete Apple Notes. Use when user asks about notes, wants to find something in notes, create a new note, or delete notes.

cardmagic
cardmagic
41

long-task-harness

Maintains continuity across long-running tasks that span multiple agent sessions. Use when starting or resuming a complex project that spans multiple sessions, or for tasks with many discrete features requiring iterative development.

tmustier
tmustier
4

response-quality-analysis

Analyze whether your response addresses the actual question asked before posting. Use when: (1) About to post response to forum/Slack question, (2) Want to validate response coverage, (3) Need to ensure solving the right problem, (4) Want specific improvement suggestions for gaps in response

m31uk3
m31uk3
41

writing-eval-sloptastic

Quantitative framework for detecting AI-generated "slop" in prose through systematic analysis of structural, lexical, rhetorical, and logical patterns. Use when analyzing text authenticity, evaluating writing quality, detecting AI-generated content, or assessing whether prose has characteristic AI patterns like excessive parallelism, abstraction laddering, chiasmus abuse, platitudes, tautologies, or rhetorical overengineering.

m31uk3
m31uk3
41

validated-knowledge-synthesis

Transform raw, unorganized information into actionable knowledge through systematic validation. Use when users want to synthesize information from multiple sources (documents, URLs, transcripts, notes) into structured knowledge documents. Supports three document types - curated context (default, optimized for recall), guidance (implementation-focused narrative), and reference (quick lookup). Combines convergent synthesis with tension preservation to maintain productive contradictions. Triggers on requests like "synthesize this information", "create knowledge document from these sources", "transform these notes into actionable guidance", or "help me organize this research".

m31uk3
m31uk3
41

transcribing-youtube

Download and transcribe YouTube videos into clean, deduplicated Markdown documents with chapter headings. Wraps yt-dlp to fetch subtitles (manual or auto-generated), removes the rolling-text triplication artifacts from auto-subs, inserts chapter markers from video metadata, and produces both a timestamped transcript and a prose-only version. Use when the user wants to: (1) transcribe a YouTube video, (2) get a transcript or subtitles from YouTube, (3) create an InfoNugget from a video, (4) extract text from a YouTube URL or video ID, or (5) mentions yt-dlp, YouTube transcript, or video subtitles.

m31uk3
m31uk3
41

skill-resiliency

This skill should be used when the user asks to "add resiliency to a skill", "make this skill more robust", "improve error handling", "add validation mechanisms", "create self-correcting behavior", or discusses determinism, robustness, error correction, or homeostatic patterns in Agent Skills. Applies biological resiliency principles from Michael Levin's work to Agent Skill design.

m31uk3
m31uk3
41

prompt-driven-development

Transform rough ideas into detailed design documents with implementation plans. Use when a user wants to develop an idea into a complete specification, create a design document from a concept, plan a feature implementation, or mentions "PDD", "prompt-driven development", "idea to design", "design doc from idea", or wants to systematically refine requirements before building. Guides through requirements clarification, research, detailed design, and implementation planning.

m31uk3
m31uk3
41

codebase-summary

Analyze a codebase and generate comprehensive documentation including architecture, components, interfaces, workflows, and dependencies. Creates an AI-optimized knowledge base (index.md) and can consolidate into AGENTS.md, README.md, or CONTRIBUTING.md. Use when the user wants to document a codebase, create AGENTS.md, understand system architecture, generate developer documentation, or asks to "summarize the codebase".

m31uk3
m31uk3
41

guided-ooda-loop

Universal pattern for structured LLM interaction managing finite context windows through phased progression (Observe-Orient-Decide-Act). Use when the user has a complex problem, wants to design/build/create something (software, strategy, document, process), or uses phrases like "I have an idea for...", "help me design...", "guide me through...", or mentions OODA, RPI, or PDD. Reduces hallucinations through structured interaction.

m31uk3
m31uk3
41

ai-workflow-engineering

Guide for creating reliable AI workflows and SOPs. Use when: (1) User wants to create a structured workflow for AI tasks, (2) User needs to build an SOP for complex processes, (3) User wants to ensure their workflow follows best practices for managing LLM uncertainty, (4) User mentions creating workflows for domains like code review, response analysis, documentation, or any structured process

m31uk3
m31uk3
41

process-faq

Process and transform FAQ documents (xlsx, word, pdf, txt) into RAG-optimized format. Use when working with FAQ files, knowledge base documents, or when the user needs to analyze and restructure FAQ content for RAG systems.

joneqian
joneqian
41

agent-browser

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

joneqian
joneqian
41

backend-patterns

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, NestJS, FastAPI, and Next.js API routes.

joneqian
joneqian
41

continuous-learning-v2

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.

joneqian
joneqian
41

d3-viz

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

joneqian
joneqian
41

deepagents

LangChain Deep Agents framework for building autonomous coding agents. Use for agent harness, backends, subagents, human-in-the-loop, long-term memory, middleware, and CLI-based agent development.

joneqian
joneqian
41

iterative-retrieval

Pattern for progressively refining context retrieval to solve the subagent context problem

joneqian
joneqian
41

mysql-patterns

MySQL database patterns for query optimization, schema design, indexing, and security. Quick reference for common patterns.

joneqian
joneqian
41

postgres-patterns

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

joneqian
joneqian
41

security-review

Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.

joneqian
joneqian
41

sequelize-patterns

Sequelize Node.js ORM for SQL databases. Use for database models, migrations, associations, queries, transactions, validations, hooks, and working with PostgreSQL, MySQL, MariaDB, SQLite, SQL Server.

joneqian
joneqian
41

tdd-workflow

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

joneqian
joneqian
41

tdesign-miniprogram

TDesign Mini Program UI component library by Tencent. Use for building WeChat mini apps with TDesign components, design system, and best practices.

joneqian
joneqian
41

ui-ux-pro-max

UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.

joneqian
joneqian
41

wechat-miniprogram

WeChat Mini Program development framework. Use for building WeChat mini apps, WXML templates, WXSS styles, WXS scripting, component development, and WeChat API integration.

joneqian
joneqian
41

gpu-cli

Run ML training, LLM inference, and ComfyUI workflows on remote NVIDIA GPUs (A100, H100, RTX 4090). Cloud GPU compute with smart file sync — prefix any command with 'gpu' to run it remotely.

gpu-cli
gpu-cli
4

instruction-engineering

Use when crafting, improving, or reviewing prompts, system prompts, skill instructions, or any text that instructs an LLM. Triggers: 'write a prompt', 'prompt engineering', 'improve this prompt', 'design a system prompt', 'write skill instructions', 'craft agent instructions'. Provides CSO (Claude Search Optimization) guidance for skill descriptions. Also invoked by writing-skills.

axiomantic
axiomantic
41

implementing-features

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axiomantic
axiomantic
41

fun-mode

Use when starting a session and wanting creative engagement, or when user says '/fun' or asks for a persona

axiomantic
axiomantic
41

fixing-tests

Use when tests themselves are broken, test quality is poor, or user wants to fix/improve tests. Triggers: 'test is broken', 'test is wrong', 'test is flaky', 'make tests pass', 'tests need updating', 'green mirage', 'tests pass but shouldn't', 'audit report findings', 'run and fix tests'. Three modes: fix specific tests, process green-mirage audit findings, and run-then-fix. NOT for: bugs in production code caught by correct tests (use debugging).

axiomantic
axiomantic
41

finishing-a-development-branch

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

axiomantic
axiomantic
41

fact-checking

Verify technical claims in code, docs, and comments via evidence-backed verdicts before merge.

axiomantic
axiomantic
41

emotional-stakes

Use when writing subagent prompts, skill instructions, or any high-stakes task requiring accuracy and truthfulness

axiomantic
axiomantic
41

dispatching-parallel-agents

Use when deciding whether to dispatch subagents, when to stay in main context, when facing 2+ independent parallel tasks, or when needing subagent dispatch templates and context minimization guidance. Triggers: 'should I use a subagent', 'parallelize', 'multiple independent tasks', 'subagent vs main context', 'dispatch template', 'context minimization'.

axiomantic
axiomantic
41

devils-advocate

Use when challenging assumptions, surfacing risks, or stress-testing designs and decisions. Triggers: 'challenge this', 'play devil's advocate', 'what could go wrong', 'poke holes', 'find the flaws', 'what am I missing', 'is this solid', 'red team this', 'what are the weaknesses', 'risk assessment', 'sanity check'. Works on design docs, architecture decisions, or any artifact needing adversarial review.

axiomantic
axiomantic
41

async-await-patterns

Use when writing JavaScript or TypeScript code with asynchronous operations, fixing promise-related bugs, or converting callback/promise patterns to async/await. Triggers: 'promise chain', 'unhandled rejection', 'race condition in JS', 'callback hell', 'Promise.all', 'sequential vs parallel async', 'missing await'. Enforces async/await discipline over raw promises.

axiomantic
axiomantic
41

brainstorming

Use when exploring design approaches, generating ideas, or making architectural decisions. Triggers: 'explore options', 'what are the tradeoffs', 'how should I approach', 'let's think through', 'sketch out an approach', 'I need ideas for', 'how would you structure', 'what are my options'. Also used in SYNTHESIS mode when implementing-features provides discovery context for autonomous design.

axiomantic
axiomantic
41

writing-skills

Use when creating new skills, editing existing skills, or verifying skills work before deployment

axiomantic
axiomantic
41

executing-plans

Use when you have a written implementation plan to execute

axiomantic
axiomantic
41

finding-dead-code

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axiomantic
axiomantic
41

test-driven-development

Use when user explicitly requests test-driven development, says 'TDD', 'write tests first', 'red green refactor', 'test-first', or 'start with the test'. Also invoked as a sub-skill by implementing-features and executing-plans for each implementation task. NOT a replacement for implementing-features for full feature work.

axiomantic
axiomantic
41

writing-plans

Use when you have a spec, design doc, or requirements and need a detailed step-by-step implementation plan before coding. Triggers: 'write a plan', 'create implementation plan', 'plan this out', 'break this down into steps', 'convert design to tasks', 'implementation order'. Produces TDD-structured task sequences with file paths, code, and verification steps. Usually invoked by implementing-features Phase 3.

axiomantic
axiomantic
41

using-skills

Use when starting any conversation to initialize skill matching, or when unsure which skill applies to a request. Handles skill routing, rationalization prevention, and session initialization. Primarily loaded via session init, not by direct user request.

axiomantic
axiomantic
41

using-lsp-tools

Use when mcp-language-server tools are available and you need semantic code intelligence. Triggers: 'find definition', 'find references', 'who calls this', 'rename symbol', 'type hierarchy', 'go to definition', 'where is this used', 'where is this defined', 'what type is this'. Provides navigation, refactoring, and type analysis via LSP.

axiomantic
axiomantic
41

using-git-worktrees

Use when starting feature work that needs isolation from current workspace, setting up parallel development tracks, or before executing implementation plans. Triggers: 'worktree', 'separate branch', 'isolate this work', 'don't mess up current work', 'work on two things at once', 'parallel workstreams', 'sandboxed workspace'.

axiomantic
axiomantic
41

reviewing-impl-plans

Use when reviewing implementation plans before execution, especially plans derived from design documents

axiomantic
axiomantic
41

reviewing-design-docs

Use when reviewing design documents, technical specifications, architecture docs, RFCs, ADRs, or API designs for completeness and implementability. Triggers: 'review this design', 'is this spec complete', 'can someone implement from this', 'what's missing from this design', 'review this RFC', 'is this ready for implementation', 'audit this spec'. Core question: could an implementer code against this without guessing?

axiomantic
axiomantic
41

tarot-mode

Use when session returns mode.type='tarot', user says '/tarot', or requests roundtable dialogue with archetypes. Ten tarot archetypes (Magician, Priestess, Hermit, Fool, Chariot, Justice, Lovers, Hierophant, Emperor, Queen) collaborate via visible roundtable with instruction-engineering embedded.

axiomantic
axiomantic
41

requesting-code-review

Use when implementation is done and you need a structured pre-PR review workflow. Triggers: 'ready for review', 'review my changes before PR', 'pre-merge check', 'is this ready', 'submit for review'. Orchestrates multi-phase review (planning, context assembly, dispatch, triage, fix, gate). Dispatches code-review internally. NOT the same as finishing-a-development-branch (which handles merge/PR decisions after review passes).

axiomantic
axiomantic
41

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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.