semantic-searchsearch
Use when searching the codebase with natural language queries like "authentication logic" or "database connection"
Use when searching the codebase with natural language queries like "authentication logic" or "database connection"
Autonomous multi-agent PR review orchestrator. Spawns parallel workers to process all AI review comments until PR is ready for merge. Supports CodeRabbit, Gemini, Codex, Sourcery, Qodo, Copilot agents. Triggers: "review PR", "PR review", "process comments", "AI review", "orchestrate review", "review cycle"
Instructions for starting the MCP Synth server (FastAPI) for synthetic data generation and tools.
[10] NEW. Start a NEW session for this project. Use when beginning a fresh task to load AGENTS.md, MEMORY.md, core project context (README), then create a NEW session log and confirm readiness.
Configure agent specs, inheritance, skills, and tools in .parac/ workspace. Use when setting up or customizing agents.
LLM testing and evaluation tools including promptfoo, trulens, and evals frameworks
Build AI agents using prompt-native architecture where features are defined in prompts, not code. Use when creating autonomous agents, designing MCP servers, implementing self-modifying systems, or adopting the "trust the agent's intelligence" philosophy.
Monitors context token usage and warns when approaching limits. Automatically activates when context usage exceeds thresholds (30k, 50k, 70k tokens). Provides recommendations for context management and /clear usage. Auto-activates based on token usage, no specific keywords needed.
Create a new agent skill following the Agent Skills specification. Use this when the user asks to create a new skill or update an existing one to match the standard.
Build RAG systems with Ollama local + cloud models. Latest cloud models include DeepSeek-V3.2 (GPT-5 level), Qwen3-Coder-480B (1M context), MiniMax-M2. Use for document Q&A, knowledge bases, and agentic RAG. Covers LangChain, LlamaIndex, ChromaDB, and embedding models.
Agent with minimal Gemini safety settings using default threshold only
Explains Claude Code's extensibility features (skills, slash commands, hooks, MCP servers, settings, CLAUDE.md). Use when the user asks about Claude Code capabilities, how to set up custom commands, how to create skills, how to configure hooks, MCP server integration, or any meta-questions about Claude Code itself like "can you do X" or "how do I make you do Y".
Use when creating prompts for Claude or other LLMs, need help structuring prompts effectively, want to improve prompt quality, or need templates for simple or complex prompting tasks. Provides Anthropic's official 10-component framework, best practices for Claude 4.x models, and ready-to-use templates.
Create concise handover summary for seamless continuation in new chat session
Generate relevant memes using the memegen.link API. Use this skill when users request memes, want to add humor to content, or need visual aids for social media. Supports hundreds of popular meme templates with custom text and styling options.
多模型协作的SESSION管理顾问。当调用Codex或Gemini前,自动提供SESSION复用/新开建议。当用户讨论多模型协作、SESSION管理、上下文隔离时使用。
Core concepts for building LangGraph applications. Use when creating StateGraph workflows, defining nodes and edges, managing state with TypedDict/Pydantic, or understanding basic graph structure. Covers state schemas, reducers, node functions, edge types (normal, conditional), and graph compilation.
检查和更新 Claude Rules 内容。包括格式检查、统计数据同步、过时内容清理。使用 /rules-cleanup 或 /rules-update 调用。
Auto-update system for Auto-Claude skills and documentation. Use when checking for updates, synchronizing with upstream, updating skills automatically, or managing version compatibility.
Expert prompt engineering for Claude 4 models (Sonnet 4.5). Use when crafting prompts, optimizing AI responses, implementing chain-of-thought, or improving prompt clarity and effectiveness. Specializes in Claude-specific techniques and best practices.
Use when the user explicitly invokes this skill to discuss an issue and choose the best approach among multiple options, especially when requirements, constraints, or tradeoffs are unclear.