Loading...
Loading...
Found 168 Skills
Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing
Iterative Five Whys root cause analysis drilling from symptoms to fundamentals
Guide for setup Context7 MCP server to load documentation for specific technologies.
Display the current state of the FPF knowledge base
Analyze a GitHub issue and create a detailed technical specification
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Iterative PDCA cycle for systematic experimentation and continuous improvement
Comprehensive A3 one-page problem analysis with root cause and action plan
Comprehensive review of local uncommitted changes using specialized agents with code improvement suggestions
Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure
Implement a task with automated LLM-as-Judge verification for critical steps
Use when adding metadata to commits without changing history, tracking review status, test results, code quality annotations, or supplementing commit messages post-hoc - provides git notes commands and patterns for attaching non-invasive metadata to Git objects.