Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 80 149 files from 1 774 authors, of which 62 489 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
中文战略聚焦教练。用于用户需要在多个目标、项目或学习方向之间做取舍，判断当前主线、最大约束、阶段目标、是否继续/暂停/转向，或基于学习进度进行周度、阶段复盘时。学习场景中只负责回答“为什么学、学到什么程度、当前优先什么”，并把明确使命交给 learning-coach。不要用于日常打卡和进度更新、具体知识讲解、源码带读、连续答疑、调试、练习设计或“开始下一课”。
中文高级私人学习教练。用户说“开始学习 X”“继续/下一课”“学完了”“记录进度/打卡”“我学到哪了/还要多久”，正在通过真实项目、源码、作品、题目或任务学习编程、Agent、写作、语言、考试、研究或职业技能，或对具体概念和材料连续追问时使用。触发后主动读取学习现场、学习记录、进度、用户背景和真实材料，替用户选择最近发展区与入口，一次只给一个动作或问题，并用解释、实践、反馈和迁移证据推进掌握。不要让用户先设计课程、选择材料或填写长问卷；只有方向取舍本身尚未解决且会造成明显浪费时，才交给 focus-coach。
Explicit compatibility alias for Elves Cobbler, the default orchestration model. Use when the user types /elves-council for Cobbler coordination in Claude Code.
Compatibility alias for Elves Cobbler, the default orchestration model. Use when the user types /council for Cobbler coordination in Claude Code.
Short compatibility alias for Elves Cobbler, the default orchestration model. Use when the user types /ec for Cobbler coordination in Claude Code.
Start and boundedly follow a remote Devin development task. Use when the user types /devin with implementation instructions.
Run a bounded Sakana Fugu repository task or explicit review through codex-fugu. Use when the user types /fugu, asks to use Fugu, or asks for a Fugu review.
Invoke Elves Cobbler, the default orchestration model for fitted answers and agent routing. Use when the user types /cobbler or asks for Cobbler coordination in Claude Code.
Autonomous multi-batch development agent for long unattended runs, reviewed-PR landing, Cobbler-first orchestration, and optional Fugu, Manus, Grok, or Devin provider shortcuts. Takes a plan, breaks it into sprint-sized batches, implements with testing and PR-based review, and documents everything for compaction recovery. Use when user says "run overnight", "I'm going offline", "implement this plan", "keep going without me", "do not stop", "I'll be back in the morning", "run this end-to-end", asks to get a subagent to review the diff from main, read PR comments, test, fix, and merge commit once green, types \land-pr or /land-pr, asks for `/cobbler`, `/council`, `/ec`, `/elves-council`, `/fugu`, `/manus`, `/grok`, or `/devin`, or says `$elves cobbler`.
Turn on Elves Cobbler Mode for the current Claude Code thread. Use when the user types /cobbler-mode or asks to keep chatting with the Cobbler by default.
Run a bounded-permission headless Grok Build task. Use when the user types /grok or asks Grok Build to execute instructions.
Compatibility alias for Cobbler external-agent setup. Use when the user types /setup-council.
Launch bounded private Manus research, including Cobbler-managed Wide Research and deterministic reference fan-out. Use when the user types /manus.
Configure Cobbler model routes and external-agent preferences for this checkout. Use when the user types /setup-cobbler, asks to set up Cobbler model routes, onboard models, or update which tools handle planning/implement/review in Claude Code.
Revit API fundamentals, Dynamo for Revit, pyRevit framework, IFC schema and openBIM, model checking, automated documentation, clash detection, and BIM interoperability tools for AEC computational design
NURBS curves and surfaces, mesh geometry, boolean operations, subdivision surfaces, tessellation methods, surface analysis, and point cloud processing for AEC computational design
Python calculators for geometry analysis, structural checking, solar calculations, panel optimization, mesh analysis, material estimation, and fabrication cost estimation for AEC computational design
GIS integration, sensor data, occupancy analytics, space syntax analysis, urban data analytics, climate data processing, and API data sources for evidence-based AEC computational design
L-systems, cellular automata, agent-based modeling, swarm intelligence, reaction-diffusion, growth algorithms, packing algorithms, and nature-inspired computation for AEC design
Rule-based design systems, constraint satisfaction, space planning algorithms, automated layout generation, drawing automation, code compliance checking, and computational workflows for AEC design automation
Auto-activating foundation layer providing computational design paradigms, key pioneers, tools landscape, core concepts, and skill routing for all AEC computational design tasks
CNC milling, robotic fabrication, additive manufacturing, laser cutting, timber joinery, formwork design, assembly sequencing, and file preparation for digitally-fabricated AEC components
File format encyclopedia, data exchange strategies, API integration patterns, Grasshopper-to-Revit pipelines, Rhino.Inside workflows, Speckle data streams, and schema mapping for AEC computational design
Daylight analysis, solar radiation, energy simulation, CFD wind analysis, thermal comfort, acoustic simulation, and the Ladybug Tools ecosystem for performance-driven AEC computational design
Genetic algorithms, simulated annealing, particle swarm optimization, gradient-based methods, topology optimization, shape optimization, size optimization, and benchmark problems for AEC computational design
Evolutionary algorithms, multi-objective optimization, design space exploration, fitness function design, population-based methods, and generative workflows for AEC computational design
Mesh data structures, mesh operations, mesh analysis, mesh repair, UV mapping and unfolding, quad meshing, mesh-to-NURBS conversion, and mesh quality assessment for AEC computational design
Computer vision for buildings, image-to-floorplan, generative ML models, performance prediction, structural analysis ML, energy prediction, natural language to design, and point cloud ML for AEC computational design
Panelization strategies, surface rationalization, attractor-based patterning, double-skin facades, kinetic and responsive facades, environmental performance facades, and fabrication-aware facade design for AEC
Parametric design methodology, data structures, constraint systems, Grasshopper and Dynamo patterns, parameter space exploration, and associative geometry for AEC computational design
Python for Rhino and Grasshopper (RhinoCommon, rhinoscriptsyntax, ghpythonlib), C# for Grasshopper components, Python for Revit (pyRevit, RevitPythonShell), JavaScript for web 3D (Three.js), and code patterns for AEC computational design
Finite element analysis fundamentals, form-finding methods, shell and gridshell structures, topology optimization, structural optimization, material-aware computation, and computational structural tools for AEC
Create Cursor rules for persistent AI guidance. Use when the user wants to create a rule, add coding standards, set up project conventions, configure file-specific patterns, create RULE.md files, or asks about .cursor/rules/ or AGENTS.md.
Modify Cursor/VSCode user settings in settings.json. Use when the user wants to change editor settings, preferences, configuration, themes, font size, tab size, format on save, auto save, keybindings, or any settings.json values.
Convert 'Applied intelligently' Cursor rules (.cursor/rules/*.mdc) and slash commands (.cursor/commands/*.md) to Agent Skills format (.cursor/skills/). Use when the user wants to migrate rules or commands to skills, convert .mdc rules to SKILL.md format, or consolidate commands into the skills directory.
Create custom subagents for specialized AI tasks. Use when the user wants to create a new type of subagent, set up task-specific agents, configure code reviewers, debuggers, or domain-specific assistants with custom prompts.
| Create AI marketing videos for ads, promos, product launches, and brand content. product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video
Train and optimize AI agents using Microsoft's Agent Lightning framework with reinforcement learning. Use when setting up agent training, instrumenting agents with tracing, configuring LightningStore, implementing reward functions, or optimizing prompts with RL/APO algorithms.
Guides users through creating effective Agent Skills for Cursor. Use when the user wants to create, write, or author a new skill, or asks about skill structure, best practices, or SKILL.md format.
Expert in shipping production-grade AI-powered features — LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, safety and guardrails, streaming, and cost optimization.
Build and validate .arch/index.json — a committed map from each architectural component of this repository to the real directories and files that implement it, pinned to a git commit, with every path verified to exist. Also detects structural drift between that index and the current code. Use when asked to map a codebase, produce a component or code-ownership index, find which files implement a component, check whether architecture docs are stale, or detect architecture drift after a refactor. Triggers include 'map the codebase', 'component index', 'which files implement X', 'is the architecture still accurate', 'architecture drift', 'refresh the architecture index'.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, or generate context/container/component/deployment diagrams.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
Generate an Architecture Review Board (ARB) presentation in Coco Inc's standard 11-slide format. Use when someone asks to "create an ARB deck", "architecture review presentation", "prepare for architecture review board", "ARB slides", or needs to present a product/platform architecture for sign-off. Reads PRD, architecture maps, and project memory to pre-fill technical content. Produces a self-contained HTML slide deck.
Apple Liquid Glass design system — comprehensive design philosophy, implementation guide, and technical API reference from WWDC 2025. Covers design principles (iOS-native glass hierarchy, restraint over spectacle), implementation patterns (Regular vs Clear variants, SwiftUI glassEffect API, scroll edge effects, tinting), platform adaptation (iOS 26+, iPadOS 26+, macOS Tahoe+, visionOS 3+), accessibility, performance, testing, design review frameworks, and iOS-native UI redesign guidance.
Browser automation for AI agents. Two providers — agent-browser (local CLI with Playwright) and agentic-browser (cloud via inference.sh). Both use the same @e ref-based workflow for navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, and automating browser tasks.
Create or update a structured change log for a product or platform. Use when someone asks to "create a change log", "log this change", "what changed", "update the change log", "release notes", or "changelog". Reads project memory (CLAUDE.local.md Recent Changes) and meeting notes to build chronological change records. Supports init (backfill from memory), update (append new entries), and release (summarize for a version).
Wrap any command-line tool into a JSON-emitting agent skill. Use when you want to make a CLI reliably callable and parseable by an AI agent — introspect its --help, define a structured-output (--json) contract and a stable error contract, then generate a SKILL.md wrapper with verified examples. Triggers on "wrap this CLI", "make X agent-usable", "generate a skill for this command", "turn a tool into an agent skill".
> Start a safe, governed autonomous loop from a plain-language goal. Use when the user says /coco-loop, "run an autonomous loop", "keep my build green for N hours", "work on X autonomously for a while", or wants a bounded self-improving loop that proposes fixes and never commits on its own. Turns a vague goal into a readable charter the user confirms, then arms and runs the loop propose-only under the coco-loops governance framework.
Clone any website into a pixel-perfect single-file HTML prototype. Extracts design tokens, assets, CSS computed styles, interaction patterns, and content via Playwright. Outputs a self-contained HTML file with real data injection. Use when the user wants to clone, replicate, reverse-engineer, or create a pixel-perfect copy of any website or web app. Provide one or more target URLs as arguments.
Turn the project you just shipped into a short, polished, shareable launch video (an "ad") using HyperFrames. Use when someone says "/coco-ads", "make a launch video", "brag about this", "turn this into a promo", "make an ad for this", or wants to share what they built. Reads the project code directly — no live URL or screenshots needed. Renders locally.
Install, update, version-check, or uninstall the Coco open-source AI workflow framework via its CLI (@coco-research/coco-cli, run with npx). Use when setting up Coco on a machine, pulling the latest into an existing clone, checking the installed version, or removing it. Triggers on "install coco", "update coco", "set up coco", "coco cli", "uninstall coco".
Post-implementation verification system that catches AI-introduced bugs. Covers 7 categories — TDZ errors, import mismatches, reference integrity, dead code, React state/effects, mock isolation, and CSS integrity. Run after every code change, after writing tests, or before marking a task complete. Triggers on "verify", "check code quality", "run verification", "audit code", "quality gate", "pre-commit check".
CoCo — your AI PM brain. Unified interface wrapping skills, commands, and knowledge tools. Invoke /coco to activate.
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Generate a Disaster Recovery plan with RTO/RPO targets. Use when someone asks to "create a DR plan", "disaster recovery", "business continuity", or "RTO RPO". Do NOT use for step-by-step restoration runbooks — use /pmstudio-recovery instead. Designed for SaaS platform products where Coco Inc is the customer — focuses on service continuity, data recovery, and vendor dependency management rather than infrastructure rebuild.
Use when a project has linked documentation artifacts (PRDs, presentations, meeting notes, architecture maps) that must stay synchronized. Detects which source files changed, identifies downstream documents needing updates, reads new content, and proposes specific edits with diffs before applying. Also use when a .sync-report.md exists in the project or user says "process sync report".
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Claude Skills — questions
Answers built from the skills we actually parsed.