Guide for writing skills that wrap CLI tools. Use when creating a new CLI skill. For review, run through the Checklist section.
Validate MCP configuration and suggest improvements
View Self-Evolving Loop session status, history, and memory metrics
Generate hook script from template
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帮助创建新的 Skill 定义，优先复用已有能力，避免重复造轮子
Guide for creating or updating Agent Skills using the standardized SKILL.md specification, including naming rules, optional frontmatter fields, validation, packaging, and best practices for...
Automatically synchronize README.md with actual project components. Scans .claude directory and updates Agents, Skills, Hooks, Commands sections.
Use when designing, building, or refining frontend UI/UX: layouts, components, visual systems, typography, color, and UX patterns for websites, landing pages, dashboards, and product interfaces....
Generate a production-ready SKILL.md + tiny examples, evals, and an index entry aligned to Anthropic Skills.
Convert AGENTS.md (or similar agent instruction docs) into reusable Codex skills. Use when asked to extract, split, or refactor AGENTS.md guidance into skill folders, or to create skills that...
Comprehensive guide for using Claude Agent SDK to build AI agents that can read files, execute commands, edit code, and perform complex workflows. Use when (1) Building autonomous AI agents with...
Standalone Serena MCP tools for code intelligence - symbol search, file ops, memory, editing, config, workflow helpers, and shell execution without MCP server
Creates, updates, or optimizes CLAUDE.md files following Anthropic best practices. Use when user requests creating, updating, improving, or optimizing CLAUDE.md files for project context, coding...
This skill should be used when the user asks to "optimize with SIMBA", "use Bayesian optimization", "optimize agents with custom feedback", mentions "SIMBA optimizer", "mini-batch optimization",...
This skill should be used when the user asks to "fine-tune a DSPy model", "distill a program into weights", "use BootstrapFinetune", "create a student model", "reduce inference costs with...
This skill should be used when the user asks to "evaluate a DSPy program", "test my DSPy module", "measure performance", "create evaluation metrics", "use answer_exact_match or SemanticF1",...
This skill should be used when the user asks to "build a RAG pipeline", "create retrieval augmented generation", "use ColBERTv2 in DSPy", "set up a retriever in DSPy", mentions "RAG with DSPy",...
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks",...
This skill should be used when the user asks to "bootstrap few-shot examples", "generate demonstrations", "use BootstrapFewShot", "optimize with limited data", "create training demos...