Git & Pull Requests plugins

Agent teams, swarm coordination, Monitor streams, and worktree isolation — wraps 4 swarm_* + 8 agent_* MCP tools (12 total) plus 6 topologies (hierarchical / mesh / hierarchical-mesh / ring / star / adaptive)

Advanced git workflows with diff analysis, risk scoring, change classification (feature/bugfix/refactor/...), and reviewer recommendations — wraps 6 analyze_* MCP tools (diff, diff-risk, diff-classify, diff-reviewers, file-risk, diff-stats)

Require a human approval signal before an AI agent can post PR reviews, comments, merges, or writes to CI config. Cedar-gated, receipt-signed, designed for the Hermes-style failure mode where a review bot posts without oversight.

Your AI development teammate. Turns a story file into a shipped, reviewed, and tested feature via orchestrator → architect → developer → PR reviewer → QA → Playwright.

Git workflow automation, pull request enhancement, and team onboarding processes

PreToolUse hook that prevents AI agents from using --no-verify, --no-gpg-sign, and other bypass flags that skip git hooks

GitLab DevOps platform integration. Manage repositories, merge requests, CI/CD pipelines, issues, and wikis. Full access to GitLab's comprehensive DevOps lifecycle tools.

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

Google Firebase MCP integration. Manage Firestore databases, authentication, cloud functions, hosting, and storage. Build and manage your Firebase backend directly from your development workflow.

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

Official GitHub MCP server for repository management. Create issues, manage pull requests, review code, search repositories, and interact with GitHub's full API directly from Claude Code.

AI code review agent for GitHub and GitLab. View and resolve Greptile's PR review comments directly from Claude Code.

Multi-agent collaboration plugin for Claude Code. Spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any problem that benefits from diverse solutions. Evaluate by metric or LLM judge, merge the winner. 7 slash commands, agent templates, git DAG orchestration, message board coordination.

Compliance OS — meta-orchestrator for multi-framework compliance programs. Configure-then-operate four stdlib Python tools: framework_selector.py (input: company profile across industry/geography/AI/medical/financial/headcount; output: applicable frameworks ranked across all 9 supported: ISO 27001, 13485, 42001, 14971, EU AI Act, MDR 745, GDPR, SOC 2, FDA QSR), cross_framework_mapper.py (input: 1+ framework control libraries; output: unified control matrix with overlap percentage + mapping confidence + unified evidence requirements per merged control), audit_simulator.py (input: framework scope; output: mock internal audit with 8-15 finding scenarios across 5 severity levels + interview questions per control), evidence_pool_generator.py (input: enabled framework configs; output: consolidated evidence checklist with reuse map). 4 in-depth references citing ISO 19011, IIA Standards, AICPA AT-C, NIST CSF, COSO ERM. Plus 3 cs-* persona agents (cs-compliance-officer, cs-aims-iso42001, cs-ai-act-compliance) + 3 /cs:* slash commands (/cs:compliance-readiness, /cs:aims-audit, /cs:ai-act-readiness). Reuses the 14 existing ra-qm-team skills and the 2 new compliance-team-* plugins.

Active coding discipline enforcer based on Karpathy's 4 principles: surface assumptions, keep it simple, make surgical changes, define verifiable goals. Ships 4 Python tools (complexity_checker, diff_surgeon, assumption_linter, goal_verifier), a review agent, /karpathy-check slash command, and a pre-commit hook. All tools stdlib-only.