claude-code-guide
An advanced development guide for Claude Code, covering REPL environments, MCP integration, development workflows, and best practices for AI-assisted coding.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
174 skills found
An advanced development guide for Claude Code, covering REPL environments, MCP integration, development workflows, and best practices for AI-assisted coding.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.
Expert guidance for Claude Messages API: structured outputs, prompt caching, tool use, and migration from deprecated Claude 3.x models to 4.5. Prevents common API errors.
An AI-powered skill that automatically retrieves relevant project context from your RAG knowledge base for complex coding tasks.
Expert skill for building and maintaining AI agents using the Claude Agent SDK, covering architecture, tool integration, MCP servers, and agentic workflows.
Expert guidance for building production-ready applications with Anthropic's Claude API. Covers SDKs, prompt caching, batch processing, streaming, tool use, and cost optimization strategies.
Research technical documentation and automatically generate ready-to-use software agent skills in markdown format.
A project-specific architectural template for Next.js 15, FastAPI, and Supabase applications, including structured AI integration patterns.
Professional-grade spreadsheet automation for Claude: create, edit, analyze, and visualize Excel and CSV files with rigorous formula integrity and financial formatting standards.
Comprehensive office productivity toolkit for AI agents, featuring PDF, Word, Excel, PowerPoint, and internal communication automation capabilities.
A testing skill designed to verify the functionality of the Skillet CLI by performing basic tasks and confirming completion.
Kills stale claude-mem worker and MCP server processes to recover RAM and improve performance in memory-constrained environments like GitHub Codespaces.