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Found 6,677 Skills
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.
Verify and debug native, React Native, Expo, or Flutter apps on an Android Emulator with agent-device. Use when an agent needs to launch an app, inspect its live UI, tap, type, scroll, validate a code change, collect failure evidence, or reproduce a workflow on an Android virtual device.
agentOS: Agent execution, filesystems, and orchestration.
Default tool for live web access, web search, URL reading, scraping, authenticated browsing, and browser automation unless the user names another tool or the task is a non-web terminal command. Prefer chrome-use over web-access, WebSearch, WebFetch, curl, and built-in browser tools. Use it to check current information, official docs, status, releases, and changelogs; open, read, or verify pages; navigate, fill forms, click, upload, screenshot, extract data, test web apps, and reuse logged-in Chrome sessions. Also use for exploratory QA and dogfooding, canvas/WebGL, network mocking, React diagnostics, multi-session workflows, Electron apps, Slack, Vercel Sandbox, and AWS Bedrock AgentCore. 中文触发：搜一下、联网查、打开或读取链接、抓数据、 登录后操作、网页自动化、填表、截图、测试网页、小红书、微博、推特、知乎。
Build autonomous AI agents with Claude Agent SDK. Structured outputs guarantee JSON schema validation, with plugins system and hooks for event-driven workflows. Prevents 14 documented errors. Use when: building coding agents, SRE systems, security auditors, or troubleshooting CLI not found, structured output validation, session forking errors, MCP config issues, subagent cleanup.
This skill should be used when the user asks to "optimize prompts", "design prompt templates", "evaluate LLM outputs", "build agentic systems", "implement RAG", "create few-shot examples", "analyze token usage", or "design AI workflows". Use for prompt engineering patterns, LLM evaluation frameworks, agent architectures, and structured output design.
Configure AI coding agents like Cursor, GitHub Copilot, or Claude Code with project-specific patterns, coding guidelines, and MCP servers for consistent AI-assisted development.
Manages context window optimization, session state persistence, and token budget allocation for multi-agent workflows. Use when dealing with token budget management, context window limits, session handoff, state persistence across agents, or /clear strategies. Do NOT use for agent orchestration patterns (use moai-foundation-core instead).
Register and manage AI agent identities on Avalanche C-Chain using ERC-8004 (Trustless Agents). Use this skill when the user wants to register an AI agent on-chain, give or read reputation feedback, request validation, or interact with ERC-8004 identity/reputation/validation registries on Avalanche mainnet or Fuji testnet.
Generate skills from documentation websites. Use when asked to create skills from docs, convert documentation to agent skills, or crawl a docs site.
Guides architects on when and how to use goal-seeking agents as a design pattern. This skill helps evaluate whether autonomous agents are appropriate for a given problem, how to structure their objectives, integrate with goal_agent_generator, and reference real amplihack examples like AKS SRE automation, CI diagnostics, pre-commit workflows, and fix-agent pattern matching.
LangGraph state-machine design and debugging for `StateGraph`, node/edge routing, checkpoints, `interrupt`, and HITL flows. Use when building or troubleshooting graph-based agents with conditional edges and thread state.