Git Plugins

Enforce strict TDD cycles for features and bugfixes, create isolated git worktrees for safe development, generate detailed implementation plans broken into verifiable tasks, dispatch parallel subagents to execute plans or fix independent issues, perform technical code reviews on git diffs, investigate root causes systematically, and verify tests/builds before commits or PRs.

Orchestrate multi-agent teams and specialist skills in Claude Code to automate complex development workflows: plan features, generate/review code across JS/TS/Python/Java/mobile stacks, enforce TDD/security, run tests/deployments, and manage autonomous loops with hooks/commands.

Switch to caveman mode for 75% token savings in AI interactions with full technical accuracy across lite/full/ultra levels. Auto-generate compressed Conventional Commits on staging, terse PR code reviews, and condense memory files like CLAUDE.md while preserving code/URLs. View quick-reference help card anytime.

Audit CLAUDE.md files across repositories by discovering them with find, evaluating quality against rubrics, generating reports, and applying targeted improvements after approval. Capture learnings from Claude Code sessions to propose concise updates to CLAUDE.md or .claude.local.md files with user approval.

Run comprehensive AI-powered PR reviews on git diffs or pull requests, using specialized agents to analyze code quality, test coverage, error handling, type design, comments accuracy, and simplification opportunities. Receive categorized summaries of critical issues, important fixes, suggestions, strengths, and action plans.

Orchestrate spec-driven AI-assisted development workflows: initialize projects with phased roadmaps, generate research/plans/UI specs, execute tasks via parallel AI agents with atomic git commits, verify/audit code quality/security/tests, manage milestones/releases, and automate documentation.

Orchestrate multi-agent teams to parallelize code reviews across security, performance, architecture, and more with consolidated reports; debug complex bugs via competing hypotheses, evidence gathering, and root cause ranking; develop features through task decomposition, file ownership, dependency management, git branching, and integration monitoring.

Delegate full-stack development workflows to Claude via 213 specialized agents, commands, and skills: refactor code, generate tests/deployments/Dockerfiles/K8s manifests, audit security/performance, document APIs/onboarding, orchestrate Git ops, and apply patterns across JS/TS/Python/Rust/Go/Java stacks.

Automate multi-agent code reviews on GitHub pull requests, auditing CLAUDE.md files, detecting bugs, analyzing git history and prior PRs, reviewing code comments, and scoring issues by confidence level to prioritize fixes.

Organize complex multi-step coding projects using persistent Markdown files (task_plan.md, findings.md, progress.md) to break down tasks, log findings and progress, and automatically recover full context after /clear commands. Auto-activates for planning requests, research, or workflows with 5+ tool calls across 20+ AI coding assistants, with Arabic, German, Spanish, and Chinese support.

Run Claude in continuous self-referential loops for iterative task development using the Ralph Wiggum technique. Start with a prompt and optional max iterations or completion promise; AI refines tasks via persistent .claude/ralph-loop.local.md file and git until done. Cancel active loops and check iteration status.

Develop Claude Code plugins end-to-end: implement agents, commands, skills, hooks with MCP integration and bash execution using guided templates; run creation workflows; generate validation reports on structure and components; review skills for best practices with AI agents.