技能与智能体开发
5,949 个结果
- Router CoretanstackFramework-agnostic core concepts for TanStack Router: route trees, createRouter, createRoute, createRootRoute, createRootRouteWithContext, addChildren, Register type declaration, route matching, route sorting, file naming conventions. Entry point for all router skills.
- Skill Creatorprowler-cloudCreates new AI agent skills following the Agent Skills spec. Trigger: When user asks to create a new skill, add agent instructions, or document patterns for AI.
- Skill Syncprowler-cloudSyncs skill metadata to AGENTS.md Auto-invoke sections. Trigger: When updating skill metadata (metadata.scope/metadata.auto_invoke), regenerating Auto-invoke tables, or running ./skills/skill-sync/assets/sync.sh (including --dry-run/--scope).
- Integrate Skillmindfold-aiIntegrate Skill into Project Guidelines
- Build With Agent Teamcoleam00Build a project using Claude Code Agent Teams with tmux split panes. Takes a plan document path and optional team size. Use when you want multiple agents collaborating on a build.
- Ara Rigor ReviewerOrchestra ResearchPerforms ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts, scoring six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor) and producing a constructive, severity-ranked report with a Strong Accept-to-Reject recommendation.
- DspyzechenzhangAGIBuild complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
- Evolving Ai AgentsOrchestra ResearchProvides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.
- LlamaindexzechenzhangAGIData framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
- Orchestra-Research/AI-Research-SKILLsOrchestra Research技能合集Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.
- Agent ModesbasedhardwareGuidance on choosing and using Cursor agent modes: Agent, Ask, Plan, and Debug. Use when selecting the right mode for a task or when explaining mode capabilities.
- Agent ReviewbasedhardwareAgent Review workflows and best practices for catching bugs before merging. Use for reviewing agent-generated code and local changes.
- Debug ModebasedhardwareDebug mode workflows and best practices for troubleshooting bugs, regressions, and performance issues. Use when debugging tricky issues that standard agent interactions struggle with.
- Omi API IntegrationbasedhardwareOmi API integration Developer API MCP server webhook OAuth authentication rate limiting API keys
- Omi Plugin DevelopmentbasedhardwareOmi plugin app development webhook patterns chat tools OAuth flows prompt-based apps integration apps FastAPI Express
- Rule UpdaterbasedhardwareSkill for programmatically reading, updating, and creating Cursor rules based on patterns and lessons learned
- Self ImprovementbasedhardwareMeta-skill for analyzing PRs, issues, and user interactions to improve Cursor rules and skills automatically
- Continual LearningcursorOrchestrate continual learning by delegating transcript mining and AGENTS.md updates to `agents-memory-updater`.
- Poteto Modecursorpoteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, /poteto-mode, or requests to work in this style.
- Principle Guard The Context WindowcursorApply when context is filling up: large outputs, long files, repeated reads, fan-out planning. Route bulk to subagents; keep summaries in the main thread, not raw payloads.
- Ralph Loop HelpcursorExplain the Ralph Loop plugin, how it works, and available skills. Use when the user asks for help with ralph loop, wants to understand the technique, or needs usage examples.
- Workflow From ChatscursorExtract durable working preferences from recent Cursor chats and convert them into skills, rules, or workflow docs. Use when asked to learn preferences, mine feedback, personalize workflows, or generate team/person-specific agent guidance.
- Creating SkillsNangoHQUse when creating new Claude Code skills or improving existing ones - ensures skills are discoverable, scannable, and effective through proper structure, CSO optimization, and real examples
- Debugelie222Runtime debugging workflow with automated log collection. Use when fixing bugs that require runtime evidence (values, types, flow), when you'd otherwise ask user to "open DevTools, reproduce X, tell me what you see", or when bug depends on user interaction that can't be simulated. This skill automates log collection - logs are captured server-side and accessible programmatically.