Analyzes code for bugs, security issues, performance problems, and readability improvements
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Intelligently reviews git diffs and creates well-structured commits, automatically splitting changes into multiple logical commits when needed
GitHub pull request tools — review PRs, resolve review comments, check thread status, and create PRs using the gh CLI
Runs ruff, mypy, and bandit on Python files to find and auto-fix lint violations, type errors, and security issues
Generates GitHub Actions workflows, diagnoses CI failures from run logs, and helps add pipeline steps
Generates changelogs from conventional commits, bumps semantic versions, and creates GitHub releases
Generates multi-stage Dockerfiles and docker-compose configurations, adds services like Postgres and Redis, and optimizes images for production
Generates RFCs and Architecture Decision Records from feature descriptions, maintaining consistent numbering and format
Decomposes feature descriptions and GitHub issues into ordered implementation subtasks with file-level scope and acceptance criteria
Manages Python dependencies — add, remove, audit for vulnerabilities, and detect unused packages
Generates markdown API documentation from FastAPI routes and DRF viewsets, and detects drift between code and existing docs
AI-powered wiki generator — creates structured documentation with dark-mode Mermaid diagrams, onboarding guides, and VitePress sites from any codebase
Lightweight adversarial code review with three parallel subagents (Advocate, Skeptic, Architect) that analyze independently before synthesis
Fully agentic software engineering pipeline — from ticket intake through spec design, TDD implementation, code review, and PR creation. Orchestrates multiple agents and skills across five stages.