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Plugins
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Connect Claude Code directly to your CockroachDB clusters for hands-on database work — explore schemas, write optimized SQL, debug queries, and manage distributed database clusters. This plugin provides 14 tools across two active MCP backends (self-hosted MCP Toolbox and managed CockroachDB Cloud MCP Server), three specialized agents (DBA, Developer, Operator), 32 skills across 6 operational domains, and built-in safety hooks.
Intelligent git commits with semantic grouping, conventional commit messages, emoji prefixes, user stories, and parallel sub-agent execution
Manage Claude Code rules with context-based loading, retrospective analysis, and knowledge graph integration
Interactive workflow creation assistant that helps teams create Claude Code slash commands through conversational requirements gathering
from ComposioHQ/awesome-claude-skills
from aws-solutions-library-samples/guidance-for-claude-code-with-amazon-bedrock
from involvex/involvex-claude-marketplace
AI-powered documentation pipeline that mines git history and analyzes codebases to produce a full Zensical documentation site with architecture, API, operations, domain, and evolution sections.
from ccplugins/awesome-claude-code-plugins
MCP integrations for AI-powered code and repository documentation
from in-the-loop-labs/pair-review
Portfolio dashboard for PE technical due diligence: People / Product / Process insights from any set of git repositories.
Think before coding, verify reality, simplicity first, surgical changes, respect existing contracts, goal-driven execution. Six principles with mandatory review questions and a prohibitions table.
Documentation generation, code explanation, and technical writing with automated doc generation and tutorial creation
Documentation generation, code explanation, and technical writing with automated doc generation and tutorial creation
from EngineerWithAI/engineerwith-agents
Set up and maintain OpenAPI 3.0 integration between a Next.js backend and a Swift iOS client
Responds to code audits by scoring findings, planning parallel work streams, and coordinating fix implementation across isolated git worktrees.
Agents that identify accidental complexity and code quality issues