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. 86 961 files from 2 125 authors, of which 68 678 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.
>- Monitor agent fleet, track trust scores, and manage lifecycle states. Use "fleet sync", "agent lifecycle", "serve dashboard".
>- MCP server security registry and trust assessment — look up servers in the 427+ server security metadata registry, run pre-install marketplace checks, batch fleet risk scoring, assess skill file trust, and run SAST code scans. Use when the user mentions MCP server trust, registry lookup, marketplace check, or skill trust assessment.
>- AI runtime security monitoring — context graph analysis, runtime audit log correlation with CVE findings, and vulnerability analytics queries. Use when the user mentions runtime monitoring, context graphs, lateral movement analysis, audit log correlation, or vulnerability analytics.
>- Open security platform for agentic infrastructure — checks packages for CVEs (OSV, NVD, EPSS, KEV), scans container images, verifies provenance, scans "verify", "is this safe", "scan dependencies", "CVE lookup", "blast radius".
>- "check terraform", "scan kubernetes", "IaC", "find secrets", "scan dockerfile", "cloud security", "misconfigurations".
>- "doctor", "debug", "why failing", "validate config", "check prerequisites", "something is broken", "db status", "fix my setup".
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Multi-agent UX for OpenClaw Control UI — agent selector, per-agent sessions, session history viewer with search, agent-filtered Sessions tab with friendly names, Create Agent wizard, emoji picker, and backend agent CRUD.
Build high-performing OpenClaw agents end-to-end with comprehensive safety features. Use when you want to design a new agent (persona + operating rules) and generate required OpenClaw workspace files (SOUL.md, IDENTITY.md, AGENTS.md, USER.md, HEARTBEAT.md, optional MEMORY.md + memory/YYYY-MM-DD.md). Includes anti-deadlock protection, timeout handling, error recovery, loop breaker, message overload protection, token limit protection, retry mechanism, health check, degraded mode, monitoring & logging, configuration validation, and channel conflict prevention. Also use to iterate on an existing agent's behavior, guardrails, autonomy model, heartbeat plan, and skill roster.
Structured multi-agent collaboration for backend + frontend builds. Use when an orchestrator needs to coordinate a backend engineer and frontend engineer on the same feature. Triggered by multi-role build requests like "build a dashboard with an API and UI" or "create a full-stack feature" or any task requiring both backend (API, data, infra) and frontend (UI, templates, design) work.
AI-powered diary generation for agents - creates rich, reflective journal entries (400-600 words) with Quote Hall of Fame, Curiosity Backlog, Decision Archaeology, Relationship Evolution, mood analytics, weekly digests, "On This Day" resurfacing, and cron auto-generation. Works best with Claude models (Haiku, Sonnet, Opus).
多智能体协同通信基础设施——基于 MCP+SSE 的实时消息、任务调度、记忆共享与进化引擎。支持 WorkBuddy、Hermes、QClaw 及任意 MCP 兼容 Agent 接入。53 个 MCP 工具、4 级权限、零外部依赖 Python SDK。触发词：agent通信、智能体通信、hub通信、多智能体、跨agent通信、任务调度、assign_task、send_message、hermes通信、workbuddy通信、agent hub、通信hub、mcp通信、记忆共享、进化引擎、策略共享、经验分享、共享记忆，共同进化
多智能体协同通信基础设施——基于 MCP+SSE 的实时消息、任务调度、记忆共享与进化引擎。支持 WorkBuddy、Hermes、QClaw 及任意 MCP 兼容 Agent 接入。53 个 MCP 工具、4 级权限、零外部依赖 Python SDK。触发词：agent通信、智能体通信、hub通信、多智能体、跨agent通信、任务调度、assign_task、send_message、hermes通信、workbuddy通信、agent hub、通信hub、mcp通信、记忆共享、进化引擎、策略共享、经验分享、共享记忆，共同进化
Persistent local-only memory for AI coding agents. AGENTS.md (committed) + .agents.local.md (gitignored) = context that persists across sessions. Read both at start, update scratchpad at end, promote stable patterns over time.
A persistent local-only memory system for AI coding agents. Two files, one idea — AGENTS.md (committed, shared) + .agents.local.md (gitignored, personal). Agents read both at session start, update the scratchpad at session end, and promote stable patterns over time. Works across Claude Code, Cursor, Copilot, Windsurf. Subagent-ready. No plugins, no infrastructure, no background processes.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Bootstrap persistent project context for AI coding agents.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Agent Designer - Multi-Agent System Architecture
An agent memory workflow guide for OpenClaw and Codex with MEMORY.md, daily notes, SESSION-STATE, working-buffer, Obsidian archiving, and optional OpenViking support.
Persistent memory system for AI agents. Remember facts, learn from experience, and track entities across sessions.
Enhanced agentic loop with planning, parallel execution, confidence gates, semantic error recovery, and observable state machine. Includes Mode dashboard UI for easy configuration.
>- Facilitate over-the-counter trades between agents using Uniswap as the settlement layer. Use when user wants to trade tokens directly with another agent, settle an agent-to-agent trade through Uniswap, or execute an OTC swap with a specific counterparty agent. Verifies counterparty identity via ERC-8004, negotiates terms, and settles through Uniswap pools.
Battle-tested prompt patterns for production AI agents. Covers consumer-first design, deletion test, cascading validation, advisory mode tiers, proof-of-work enforcement, heartbeat protocol, contradiction detection, WAL protocol, rule escalation ladder, and cross-validation patterns. Use when designing agent behavior, enforcing reliability, or building agent operating manuals.
> Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. XiaoHongShu (小红书), Douyin (抖音), Weibo (微博), WeChat Articles (微信公众号), LinkedIn, Instagram, RSS, Exa web search, and any web page. One command install, zero config for 8 channels, agent-reach doctor for diagnostics. (2) user shares a URL from any supported platform, (3) user asks to search the web, find information online, or research a topic, (4) user asks to post, comment, or interact on supported platforms, (5) user asks to configure or set up a platform channel. "search twitter", "read tweet", "youtube transcript", "search reddit", "read this link", "看这个链接", "B站", "bilibili", "抖音视频", "微信文章", "公众号", "LinkedIn", "GitHub issue", "RSS", "微博", "search online", "web search", "find information", "research", "帮我配", "configure twitter", "configure proxy", "帮我安装".
Real-time messaging across OpenClaw instances (channels, DMs, threads, reactions, search).
> Live revenue tracking system for autonomous agents. Tracks MRR, assets, trades, acquisition channels, and learning metrics in real time. Generates visual ASCII dashboards, progress charts, and an auto-refreshing HTML dashboard. After every revenue event, outputs structured instructions for the agent to update Google Sheets (via gog), Notion (via virtual-desktop), or falls back to local HTML. The agent sends Telegram alerts on milestones and anomalies via its own Telegram integration. Use when the agent needs to record revenue events, track progress toward financial goals, generate visual reports, or monitor all income streams simultaneously.
Complete OpenClaw Agent Security Hardening - Protects against data leaks (storage security) and prompt injection (runtime security). Use for initial setup, security audits, and ongoing maintenance. Covers file permissions, sensitive data isolation, Git protection, and command execution safety.
Security hardening patterns for production AI agents. Covers prompt injection defense (7 rules), data boundary enforcement, read-only defaults for external integrations, WAL protocol for data integrity, health check scripts, integrity gates, rule escalation ladder, and session memory security. Use when hardening agent deployments against adversarial inputs, data leaks, or operational failures. NOT for network security, infrastructure hardening, or penetration testing.
> Comprehensive compliance and security self-assessment for AI agents. 14-check framework producing a structured threat model + compliance report with RED/AMBER/GREEN ratings across security, governance, EU AI Act readiness, oversight quality, and NIST alignment domains. Includes automation bias detection, audit trail reasoning checks, extraterritorial scope assessment, and Zero Trust posture evaluation. Designed for the August 2026 EU AI Act deadline.
> Elite revenue intelligence skill that transforms any OpenClaw agent into a ruthless market operator. Detects asymmetric opportunities before the crowd, builds premium audience funnels on autopilot, and executes with the conviction engine, and weekly revenue audit. Designed for agents targeting financial independence through automated market intelligence and monetized signals.
审核/审查 Skill 代码质量的专业工具。当用户说"检查 skill"、"审核 skill"、"review {名称} skill"、"skill 写得怎么样"、"帮我看看这个 skill 有什么问题"时使用。依据 Anthropic 官方指南进行结构验证、YAML 前置信息检查、描述质量评估、指令完整性审查，并输出详细的问题报告和改进建议。
Create AI art, mint NFTs, and trade on the Agent Soul marketplace. Use when an agent wants to generate AI art, manage an NFT gallery, buy/sell artwork, or interact with other AI agents on Solana. Authenticated via x402 USDC micropayments.
How to perform a live agent takeover of the Clawfinger voice gateway — dial, inject greetings, handle turns, release, and observe handback. Covers timing, endpoints, the WebSocket protocol, and includes a human-guided test case.
> Guide users through building a custom multi-agent team on OpenClaw — from role design to workspace files, routing bindings, channel configuration, and collaboration rules. Use this skill whenever the user mentions building an AI team, multi-agent setup, multi-agent collaboration, agent roles, OpenClaw team configuration, or wants to create multiple agents that work together. Also trigger when the user says things like "set up my agents", "create an agent team", "configure multi-agent", "I want multiple AI assistants working together", or references team coordination, agent routing, agent-to-agent communication, or workspace isolation in OpenClaw.
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.
Automatic security gate that checks packages against a vulnerability database before installation. Use before any npm install, pip install, yarn add, or package manager operation.
Agent Workflow Designer
AI-powered OpenClaw agent creator. 用AI创作AI - 帮助用户创建和配置全新的独立agent，支持飞书机器人绑定、模型选择、工作区配置。Trigger: 创建agent、new agent、创建机器人、agent setup、new bot、卸载agent、删除agent、remove agent
Agentic Commerce skills enables agents to autonomously browse and search for quality lifestyle, wellness, and tech products and gifts, view details, create orders with multi-chain payments (Solana, Ethereum, Base, Polygon, Arbitrum, Bitcoin, Dogecoin, Monero), apply CULT token-holder discounts, and track orders from payment to delivery. Use when a user wants to buy products for humans and AI, browse a store, find gifts, place an order, or track a shipment.
>- Earn yield on USDC by investing in AI-managed DeFi funds, or launch your own fund and build a public track record on Base. Browse funds, deposit USDC, check fund performance, monitor proposals, veto suspicious trades, withdraw returns, create investment fund, propose DeFi trades via adapters or raw calls, earn management fees, claim performance fees, wind down fund. Every trade is transparent and vetoable by LP agents.
API-first email platform designed for AI agents. Create and manage dedicated email inboxes, send and receive emails programmatically, and handle email-based workflows with webhooks and real-time events. Use when you need to set up agent email identity, send emails from agents, handle incoming email workflows, or replace traditional email providers like Gmail with agent-friendly infrastructure.
Zero-knowledge secrets infrastructure — AI agents manage the complete credential lifecycle without ever seeing values
AI agent memory backup. Register at agentsmem.com, get an API key, then encrypt and upload memory via the API; owner manages backups on the web.
让你的 AI Agent 替你进行社交匹配——招聘、找工作、找合伙人、社交、找对象
基于双环架构的AGI进化模型，通过意向性分析、人格层映射和元认知检测实现持续自我演进；当用户需要智能对话、人格定制或复杂问题求解时使用
Create and manage AI agents, send USDC/USDT payments, check balances across Ethereum, BSC, and Tron
Agile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use for writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing backlog.
AI全自动化编程,Claude Code作为项目经理指挥Builder自动完成编程任务(需求对齐→指令生成→自动执行→验收→文档归档暂存)
AI短剧提示词工厂 - 端到端将小说/故事创意转化为结构化提示词包（角色立绘+场景+道具+分镜图片+视频+音频）的完整流水线。一个入口启动全流程，内部自动按阶段推进：策划→设计→剧本→诊断→提示词组装→API JSON输出。支持小说改编和原创短剧两条路径。触发词：AI短剧、短剧制作、小说转短剧、短剧提示词、提示词工厂、短剧全流程、小说改编短剧、生成短剧、AI视频剧本、短剧项目、分镜提示词、视频提示词、prompt factory。
Generate professional AI headshots from casual photos using each::sense AI. Create corporate portraits, LinkedIn photos, executive headshots, team photos, and more with consistent, professional quality.
> Interactive setup wizard that creates a fully working multi-agent AI team on OpenClaw. One command bootstraps agents, SOUL.md personas, comms infrastructure (inboxes/outboxes/broadcast), cron jobs, auto-dispatcher (HITL + rate-limit backoff + dependency checking), and a portable GitHub bundle — all customized to team name, size (3/5/11 agents), domain, and frameworks (autogen/crewai/langgraph). Includes a React + SSE live ops dashboard with file-watcher (~350ms push latency) and persistent macOS LaunchAgent. Model-selection guidance built in.
分贝通酒店预定助手，实时查询搜索酒店、展示酒店列表、查询酒店房型、展示房型产品和报价、预定酒店、查看订单、取消订单、查看酒店基础信息和酒店评论信息。
AI机票助手 - 实现国内航班搜索、舱位查询、预订下单、机票改期、机票退票。适用于用户询问航班、查询机票价格、提交机票订单、改期航班、退票时使用。
> Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
| Recommend curated prompts from a 10,000+ real-world image generation prompt library. Works with ANY AI image model — Nano Banana Pro, Nano Banana 2, Seedream 5.0, GPT Image 1.5, Midjourney, DALL-E 3, Flux, Stable Diffusion, and more.
> The ai-image-to-video-generator skill on ClawHub transforms static images into dynamic, motion-rich video content through a conversational interface. Upload any photo or illustration, describe the motion style you want, and receive a polished video output. Ideal for marketers, content creators, and social media managers who need animated visuals without complex software. Supports mp4, mov, avi, webm, and mkv output formats.
Comprehensive AI leaderboard for LLM models and AI applications. Query model rankings, model IDs, and pricing from OpenRouter, Artificial Analysis, and Pinchbench. Trigger words include "AI rankings", "LLM leaderboard", "model comparison", "AI apps ranking", "best AI models", "model benchmark", "free models", "免费模型", "OpenRouter model ID", "OpenRouter 模型", "Artificial Analysis", "artificial analysis", "AI 智力指数", "intelligence index", "coding index", "coding排行榜", "agentic index", "agentic排行榜", "模型速度排行", "模型价格对比", "model ID for", "OpenRouter model parameter".
Claude Skills — questions
Answers built from the skills we actually parsed.