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Found 168 Skills
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Create pull requests using GitHub CLI with proper templates and formatting
Reset the FPF reasoning cycle to start fresh
Analyze a GitHub issue and create a detailed technical specification
Iterative Five Whys root cause analysis drilling from symptoms to fundamentals
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
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.
Execute complex tasks through sequential sub-agent orchestration with intelligent model selection, and LLM-as-a-judge verification
Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first
Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with multi-agent evaluation
Refine, parallelize, and verify a draft task specification into a fully planned implementation-ready task