clean-comments

Parallel multi-agent orchestration for complex features with Task-based coordination and git-wt --stack worktree isolation

1 skill · 6 commands · 3 agents

GitHub lifecycle through gh: agent-ready issues, review-ready PRs that show the change in diagrams, images and video, issue and PR triage, CI-gated linear merge, commit-push-PR in one step, stacked PRs with gh stack, and an issue-to-PR loop whose workers land their own low-tier PR

8 skills · hooks

Documentation research through optimal MCP sources and claim verification: research agents, source routing, web and codebase fact-checking

1 skill · 4 commands · 2 agents

Bridge to the OpenAI Codex CLI for cross-model collaboration

6 skills

Understand a topic, a bug, a Claude Code workflow, or the last reply: minimal explanations, root-cause diagnosis, execution traces, layered recaps

5 commands

Code quality and cleanup commands for maintaining clean, maintainable code

2 skills · 2 commands

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

1 command · 6 agents

Design fluency for frontend development. 1 skill with 24 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.

1 skill · 4 agents · hooks

Cross-installation agent federation with zero-trust security, PII-gated data flow, and compliance-grade audit trails

3 skills · 1 command · 1 agent

5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.

5 skills · 16 commands · 4 agents · hooks

Deep vulnerability scanning of your own code, run entirely inside your Claude Code session at a chosen effort tier, with every finding challenged before it is reported and the verification tally computed in code. Turns surviving findings into targeted patches, each verified by a panel of agents, that you apply when you choose.

1 skill · 9 agents · hooks

Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).

1 skill · hooks