Automated code review for pull requests using multiple specialized agents with confidence-based scoring

Streamline your git workflow with simple commands for committing, pushing, and creating pull requests

Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.

Claude Agent SDK Development Plugin

Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification

Plugin development toolkit with skills for creating agents, commands, hooks, MCP integrations, and comprehensive plugin structure guidance

Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review

A comprehensive example plugin demonstrating all Claude Code extension options including commands, agents, skills, hooks, and MCP servers

Agent that simplifies and refines code for clarity, consistency, and maintainability while preserving functionality

Analyze codebases and recommend tailored Claude Code automations such as hooks, skills, MCP servers, and subagents.

Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, or benchmark skill performance with variance analysis.

Generate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from ~/.claude/projects transcripts.

Creates interactive HTML playgrounds — self-contained single-file explorers with visual controls, live preview, and prompt output with copy button

Skills for designing and building MCP servers that work seamlessly with Claude — guides you through deployment models (remote HTTP, MCPB, local), tool design patterns, auth, and interactive MCP apps.

Solve competition math (IMO, Putnam, USAMO) with adversarial verification that catches what self-verification misses. Fresh-context verifiers attack proofs with specific failure patterns. Calibrated abstention over bluffing.

Frontend design skill for UI/UX implementation

Implementation of the Ralph Wiggum technique - continuous self-referential AI loops for interactive iterative development. Run Claude in a while-true loop with the same prompt until task completion.