Skill rating

This skill should be used when need prioritize what changed code in repository human must review.

Use to load open/unresolved PR review comments then aggregate them as tasks in .specs/comments/*.md for parallel agents to fix.

Add missing test coverage for your local code changes by generating new test files (covers uncommitted and untracked changes, or the latest commit if everything is committed). Use when you want write

Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental

Review your local uncommitted working-tree changes (git diff plus untracked files) and return actionable improvement suggestions. Use before committing, when nothing has been pushed yet.

Review an existing GitHub pull request and post inline review comments on its diff. Use when the changes are on an opened PR rather than your local working tree.

Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target

Use before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.

Execute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results

Run independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other

Use after writing tests to assess coverage quality across structural, mutation, requirements, and API/integration dimensions; organized knowledge for choosing and interpreting coverage analyses.

Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns

Verify what PR review comments have been addressed (committed/pushed OR uncommitted local changes) and resolve the threads that are genuinely fixed or no longer relevant.

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

Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration

Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts

Execute complete FPF cycle from hypothesis generation to decision

Guide for setup Context7 MCP server to load documentation for specific technologies.

Evaluate solutions through multi-round debate between independent judges until consensus

Iterative PDCA cycle for systematic experimentation and continuous improvement

Guide for setup Codemap CLI for intelligent codebase visualization and navigation

Systematic Fishbone analysis exploring problem causes across six categories

Guide for setup Serena MCP server for semantic code retrieval and editing capabilities

Guide for setup arXiv paper search MCP server using Docker MCP

Analyze a GitHub issue and create a detailed technical specification

Systematically fix all failing tests after business logic changes or refactoring

Comprehensive multi-perspective review using specialized judges with debate and consensus building

Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation

Iterative Five Whys root cause analysis drilling from symptoms to fundamentals

Create well-formatted commits with conventional commit messages and emoji

Load all open issues from GitHub and save them as markdown files

creates draft task file in .specs/tasks/draft/ with original user intent

Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis

Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with meta-judge evaluation specifications and multi-agent evaluation

Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification

Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop

Comprehensive A3 one-page problem analysis with root cause and action plan

Generate ideas in one shot using creative sampling

Refine a draft task specification into a fully planned, implementation-ready task with acceptance criteria, architecture, per-step sub-task files and verifiable phases

Implement a task step by step with automated LLM-as-Judge verification at the end of each phase

Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

Add line-specific review comments to pull requests using GitHub CLI API

Create pull requests using GitHub CLI with proper templates and formatting

Update and maintain project documentation for local code changes using multi-agent workflow with tech-writer agents. Covers docs/, READMEs, JSDoc, and API documentation.

Create and configure git hooks with intelligent project analysis, suggestions, and automated testing