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seam-ripper

Ruthlessly analyze architectural seams—the interfaces, boundaries, and contracts between system components—to expose coupling problems, abstraction leaks, and design failures. Use when asked to review architecture, analyze coupling, find interface problems, improve module boundaries, audit dependencies, or redesign system structure. Produces uncompromising redesign proposals that prioritize correctness over backwards compatibility.

petekp
petekp
31

agent-telemetry

Make application behavior visible to coding agents by exposing structured logs and telemetry. Use when asked to "add telemetry", "make logs accessible to agents", "add observability", "debug with logs", or when an agent needs to understand runtime behavior but has no way to query logs. Also use when debugging is difficult because there are no structured logs, when agent docs (CLAUDE.md, AGENTS.md) lack instructions for querying application logs, or when setting up logging infrastructure for a new or existing web application.

petekp
petekp
31

fixer

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petekp
petekp
31

handoff

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petekp
petekp
31

optimize-agent-docs

Build a retrieval-optimized knowledge layer over agent documentation in dotfiles (.claude, .codex, .cursor, .aider). Use when asked to "optimize docs", "improve agent knowledge", "make docs more efficient", or when documentation has accumulated and retrieval feels inefficient. Generates a manifest mapping task-contexts to knowledge chunks, optimizes information density, and creates compiled artifacts for efficient agent consumption.

petekp
petekp
31

formal-verify

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petekp
petekp
31

posthog-analytics

Product analytics expert using PostHog MCP. Triggers on requests to understand user behavior, surface insights, create dashboards, analyze funnels, track metrics, set up experiments, or answer questions about product performance. Use when working with PostHog data, discussing analytics strategy, investigating user journeys, retention, conversion, feature adoption, or when asked to help understand what's happening in the product.

petekp
petekp
31

capture-learning

Analyze recent conversation context and capture learnings to project knowledge files (for project-specific insights) or skills/commands/subagents (for cross-project patterns). Use when the user asks to "capture this learning", "update the docs with this", "remember this for next time", "document this issue", "add this to CLAUDE.md", "save this knowledge", or "update project knowledge". Also triggers after resolving build/setup issues, discovering non-obvious patterns, or completing debugging sessions with valuable insights.

petekp
petekp
31

explanatory-playground

Build interactive debugging interfaces that reveal internal system behavior. Use when asked to "help me understand how this works", "show me what's happening", "visualize the state", "build a debug view", "I can't see what's going on", or any request to make opaque system behavior visible. Applies to state machines, data flow, event systems, algorithms, render cycles, animations, CSS calculations, or any mechanism with hidden internals.

petekp
petekp
31

explainer-visuals

Create high-quality animated explainer visuals for essays and blog posts. Use when the user wants to visualize concepts, processes, data, or ideas with interactive web animations. Triggers on requests like "create a visual for", "animate this concept", "make an explainer", "visualize this idea", "diagram this process", "show this data", or when essay content would benefit from visual explanation. Handles abstract concepts (mental models, frameworks), technical processes (algorithms, systems), and data visualization (trends, comparisons). Outputs self-contained HTML/CSS/JS that embeds directly in web content.

petekp
petekp
31

exhaustive-systems-analysis

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petekp
petekp
31

docs-changelog

Write changelog entries for open source documentation sites using Keep a Changelog format. Use when asked to "write a changelog", "update the changelog", "add changelog entry", "document recent changes", or after a release/set of changes that should be recorded. Reviews git commits since the last changelog entry and produces a categorized, human-readable entry.

petekp
petekp
31

interaction-design

Design intuitive, meaningful interactions grounded in user goals and cognitive principles. Use when designing component behaviors, user flows, feedback systems, error handling, loading states, transitions, accessibility, keyboard navigation, touch/gesture interactions, or when evaluating interaction quality. Also use for modal vs modeless decisions, direct manipulation patterns, input device considerations, emotional/dramatic aspects of UX, or when asked about making interfaces feel responsive, humane, and goal-directed.

petekp
petekp
31

hierarchical-matching-systems

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petekp
petekp
31

interactive-study-guide

Transform a codebase study guide into a polished interactive web experience. This skill should be used when the user has a completed study guide markdown file (from codebase-study-guide or similar) and wants to turn it into an interactive pedagogical app. Triggers on requests like \"make this study guide interactive\", \"turn this into an interactive experience\", \"visualize this study guide\", \"create an interactive version\", or when a user has a study guide .md file and wants a richer presentation. Produces a Vite-served single-page app with scroll-driven storytelling, interactive architecture diagrams, animated code walkthroughs, and progressive disclosure.

petekp
petekp
31

process-hunter

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petekp
petekp
31

openclaw-customizer

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petekp
petekp
31

model-first-reasoning

Apply Model-First Reasoning (MFR) to code generation tasks. Use when the user requests "model-first", "MFR", "formal modeling before coding", "model then implement", or when tasks involve complex logic, state machines, constraint systems, or any implementation requiring formal correctness guarantees. Enforces strict separation between modeling and implementation phases.

petekp
petekp
31

autonomous-agent-readiness

Assess a codebase's readiness for autonomous agent development and provide tailored recommendations. Use when asked to evaluate how well a project supports unattended agent execution, assess development practices for agent autonomy, audit infrastructure for agent reliability, or improve a codebase for autonomous agent workflows. Triggers on requests like "assess this project for agent readiness", "how autonomous-ready is this codebase", "evaluate agent infrastructure", or "improve development practices for agents".

petekp
petekp
31

multi-model-meta-analysis

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petekp
petekp
31

deep-work

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petekp
petekp
31

manual-testing

Guide users step-by-step through manually testing whatever is currently being worked on. Use when asked to "test this", "verify it works", "let's test", "manual testing", "QA this", "check if it works", or after implementing a feature that needs verification before proceeding.

petekp
petekp
31

macos-app-design

Use when designing or building native macOS applications with SwiftUI or AppKit. Triggers on menu bar structure, keyboard shortcuts, multi-window behavior, Liquid Glass design system, macOS Tahoe/Sequoia, sidebar navigation, toolbar design, app icons, SF Symbols, or making an app feel like a "good Mac citizen."

petekp
petekp
31

deep-research

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petekp
petekp
31

dead-code-sweep

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petekp
petekp
31

de-slop

Remove LLM-isms and AI writing patterns from text. This skill should be used when editing prose to sound less like AI output — removing overused words, fixing structural tells, and restoring natural human voice. Triggers: \"de-slop\", \"remove AI writing\", \"humanize this\", \"sounds too AI\", \"LLM-isms\", \"AI slop\", or when reviewing text that reads like chatbot output.

petekp
petekp
31

data-sleuth

Identify non-obvious signals, hidden patterns, and clever correlations in datasets using investigative data analysis techniques. Use when analyzing social media exports, user data, behavioral datasets, or any structured data where deeper insights are desired. Pairs with personality-profiler for enhanced signal extraction. Triggers on requests like "what patterns do you see", "find hidden signals", "correlate these datasets", "what am I missing in this data", "analyze across datasets", "find non-obvious insights", or when users want to go beyond surface-level analysis. Also use proactively when you notice interesting anomalies or correlations during any data analysis task.

petekp
petekp
31

blog-drafter

Interview-driven blog post drafting for technical product audiences. Use when user wants to write a blog post, article, or essay and needs help developing their thesis, structure, and initial draft. Triggers on "write a blog post", "draft an article", "help me write about X", "blog drafter", or when user has a topic they want to turn into written content. Conducts structured interviews using AskUserQuestion to extract the user's unique insights before generating drafts.

petekp
petekp
31

literate-guide

Create a narrative guide to a codebase or feature in the style of Knuth's Literate Programming — code and prose interwoven as a single essay, ordered for human understanding rather than compiler needs. Use when the user asks to 'explain this codebase as a story', 'write a literate guide', 'create a narrative walkthrough', 'tell the story of this code', 'Knuth-style documentation', 'weave a guide for this feature', or when they want deep, readable documentation that treats the program as literature. Also trigger when someone wants a document that a thoughtful reader could follow from start to finish and come away understanding both WHAT the code does and WHY every design choice was made.

petekp
petekp
31

checkpoint

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petekp
petekp
31

codebase-study-guide

Generate a pedagogically-grounded study guide for learning an unfamiliar codebase. Use when the user wants to onboard onto a codebase, understand a project's architecture, create learning materials for a team, or asks things like \"help me learn this codebase\", \"create an onboarding guide\", \"I'm new to this project\", \"how does this system work\", \"study guide for this repo\", or \"explain this codebase to me\". Produces a structured document that builds understanding from purpose to systems to patterns, using evidence-based learning techniques (elaborative interrogation, concept mapping, threshold concepts, worked examples, progressive disclosure).

petekp
petekp
31

remotion-resemble-ai

Create professional AI-narrated videos with Remotion and Resemble.ai - from educational tutorials to product launches

remotionvideoreactresemble
resemble-ai
resemble-ai
32

zernio-api

Official Zernio API reference for scheduling posts across 14 social media platforms. Covers authentication, endpoints, webhooks, and platform-specific features. Use when building with the Zernio Social Media Scheduling API.

getlate-dev
getlate-dev
33

context7

Fetch up-to-date documentation for any open-source library or framework. Use when the user asks to look up docs, check an API, find code examples, or verify how a feature works — especially with a specific library name, version migration, or phrases like 'what's the current way to...' or 'the API might have changed'. Also covers setup and configuration docs. Do NOT use for general programming concepts, internal project code, or version lookups (use deps-dev).

trancong12102
trancong12102
3

codebase-search

Semantic codebase search — use as the first step when exploring or scanning a codebase broadly. Understands code intent and traces cross-file flows. Use when the user needs to understand how code works, trace data flows, explore unfamiliar codebases, or answer conceptual questions ('how does X work', 'where is Y configured', 'trace the flow of Z'). Do NOT use for targeted keyword/symbol searches (use Grep) or file lookups (use Glob).

trancong12102
trancong12102
3

oracle

Deep analysis and expert reasoning via a separate model (Codex CLI). Use when the user asks for 'oracle', 'second opinion', architecture analysis, elusive bug debugging, impact assessment, security reasoning, refactoring strategy, or trade-off evaluation — problems that benefit from deep, independent reasoning. Do NOT use for simple factual questions, code generation, code review (use council-review), or tasks needing file modifications.

trancong12102
trancong12102
3

ast-grep

Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for code patterns, find specific language constructs, or locate code with particular structural characteristics.

trancong12102
trancong12102
3

github-codebase-search

Semantic search for public GitHub repos without cloning. Use when the user wants to understand how an external library or framework works internally, investigate upstream bugs, trace code paths in a repo they haven't cloned, or search GitHub source code by intent. Do NOT use for local codebase questions (use codebase-search), documentation lookup (use context7), or private repos.

trancong12102
trancong12102
3

council-review

Multi-model AI code review — runs Codex and Claude reviews in parallel, then synthesizes a unified report. Use when the user asks to review code changes, audit a diff, check code quality, review a PR, review commits, or review uncommitted changes. Also covers 'code review', 'review my changes', 'check this before I merge', or wanting multiple perspectives on code. Do NOT use for documentation/markdown review or trivial single-line changes.

trancong12102
trancong12102
3

deps-dev

Look up the latest stable version of any open-source package across npm, PyPI, Go, Cargo, Maven, and NuGet. Use when the user asks 'what's the latest version of X', 'what version should I use', 'is X deprecated', 'how outdated is my package.json/requirements.txt/Cargo.toml', or needs version numbers for adding or updating dependencies. Also covers pinning versions, checking if packages are maintained, or comparing installed vs latest versions. Do NOT use for private/internal packages or for looking up documentation (use context7).

trancong12102
trancong12102
3

gemini-cli-integration

Use the gemini-cli-integration skill PROACTIVELY when analyzing large codebases, multiple files, or directories. Leverages Google Gemini's massive context window with @ syntax for file inclusion to handle comprehensive codebase analysis, implementation verification, and architectural understanding.

Whamp
Whamp
32

pocketbase

Comprehensive PocketBase development and deployment skill providing setup guides, schema templates, security patterns, API examples, data management scripts, and real-time integration patterns for building backend services with PocketBase.

Whamp
Whamp
32

browser-tools

Lightweight Chrome automation toolkit with shared configuration, JSON-first output, and six focused scripts for starting, navigating, inspecting, capturing, evaluating, and cleaning up browser sessions.

Whamp
Whamp
32

pocketbase-api-add-field

This skill should be used when the user asks to "add fields to PocketBase collection", "modify PocketBase schema", "add new collection fields", "update PocketBase collection", "PocketBase JavaScript SDK API", "programmatically add PocketBase fields", or mentions modifying PocketBase collection schemas via API. Provides comprehensive guidance for adding fields to existing PocketBase collections using the JavaScript SDK API.

Whamp
Whamp
32

mailhog

This skill should be used when the user asks to "set up MailHog", "test email functionality", "configure MailHog", "send test emails", "check MailHog messages", "configure SMTP testing", or "manage email capture". Provides comprehensive MailHog email testing server setup and management.

Whamp
Whamp
32

route-tester

Test authenticated routes in the your project using cookie-based authentication. Use this skill when testing API endpoints, validating route functionality, or debugging authentication issues. Includes patterns for using test-auth-route.js and mock authentication.

thomas0369
thomas0369
31

error-tracking

Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance. ALL ERRORS MUST BE CAPTURED TO SENTRY - no exceptions.

thomas0369
thomas0369
31

skill-developer

Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.

thomas0369
thomas0369
31

backend-dev-guidelines

Comprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.

thomas0369
thomas0369
31

frontend-dev-guidelines

Frontend development guidelines for React/TypeScript applications. Modern patterns including Suspense, lazy loading, useSuspenseQuery, file organization with features directory, MUI v7 styling, TanStack Router, performance optimization, and TypeScript best practices. Use when creating components, pages, features, fetching data, styling, routing, or working with frontend code.

thomas0369
thomas0369
31

Page 1283 of 1605 · 80242 results

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.