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Core configuration engine for meta-unify plugin. Parses user configuration requests, translates between Claude and Codex formats, and generates appropriate configuration files for both systems. Invoked by meta-...
Guideline for self-directed codebase and technology exploration with AI agents
Comprehensive review of Claude Code skills and agents against v0.5 guidelines. Validates metadata, implementation, and architecture. Use when reviewing existing packages or during skill development.
Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
Build self-hosted AI chat assistants using CopilotKit + LangGraph. Use when implementing conversational AI interfaces with agentic backends, streaming responses, shared state between frontend and backend, or ge...
Assembles coder and verifier prompts from templates. Use when user says "build a prompt", "assemble a prompt", "assemble prompts", or "generate a prompt" for dispatching work to coding and verification agents.
Remove AI writing patterns from text. Based on Wikipedia's AI Cleanup research with 24 pattern categories including inflated symbolism, promotional language, AI vocabulary, and formatting issues.
Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode.
Guide for creating production-ready Agent Skills. Use when creating new skills, improving existing skills, or diagnosing why a skill isn't working effectively. Covers skill quality standards, 5 skill type patte...
Implement DB-persisted conversation state for stateless AI agent servers. This skill should be used when users need to create/load conversations, append messages with role ordering, fetch history for agents, or...
Build AI agents using OpenAI Agents SDK with MCP server integration. Supports Gemini directly via AsyncOpenAI or OpenRouter for non-OpenAI models. Covers agent creation, function tools, handoffs, MCP server con...
Routes to appropriate Ralph skills based on agent role and task signals
Reviews plot structure, story beats, logic flow, and narrative continuity to identify contradictions, plot holes, pacing issues, or unrealistic elements.
Build custom chat API backends for OpenAI ChatKit frontend using FastAPI. Covers chat endpoint implementation, SSE streaming, conversation persistence, and integration with OpenAI Agents SDK + Gemini via LiteLL...
Persistent Python REPL server that avoids reloading heavy packages (torch, transformers, nnterp, vllm). Use when running multiple Python commands with heavy imports, loading ML models, or doing iterative testin...
Complete guide to subagents for project-scoped workers in Claude Code. Use when creating .claude/agents/*.md files or adding context: fork to skills. Do not use for standalone plugin agent development.
Evaluate Agent Skills against official specifications and 8-dimensional scoring framework. Use when: (1) Reviewing SKILL.md files for quality, (2) Auditing skill packages for compliance, (3) Improving existing...
This skill should be used when the user asks to "validate skills", "check skill format", "verify agents", or "audit .claude directory".
Local speech-to-text with the Whisper CLI (no API key).
Scans the .claude/ directory and updates CLAUDE.md to reflect current skills, rules, and agents
Implement single-endpoint chat API with deterministic request orchestration. This skill should be used when users need to create /api/{user_id}/chat endpoint, implement request validation, resolve conversation...
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from c...
Create self-sufficient skills following Agent Skills standard. Use when building autonomous capabilities with progressive disclosure. Do not use for general programming or non-Claude contexts.
Master coordinator agent that executes tasks by delegating to specialized agents in parallel, validating results, and ensuring quality
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。