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Found 164 Skills
Use when Code implementation and refactoring, architecturing or designing systems, process and workflow improvements, error handling and validation. Provide tehniquest to avoid over-engineering and apply iterative improvements.
Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel development with multiple working directories.
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
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
Launch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection, quality-focused prompting, and meta-judge → LLM-as-a-judge verification
Comprehensive review of local uncommitted changes using specialized agents with code improvement suggestions
Search the FPF knowledge base and display hypothesis details with assurance information