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By rohitg00
Map codebase structure, detect tech stack, patterns, entry points, and CI/CD setup to get a structured project overview. Generate first-party dependency maps via import analysis, revealing module chains, metrics, risks, and circular dependencies in text or Mermaid diagrams.
npx claudepluginhub rohitg00/awesome-claude-code-toolkit --plugin exploreShare bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Codebase exploration, refactoring, and quality analysis
AI-powered codebase understanding assistant. Learn design patterns, analyze impact, trace code flows, and understand any codebase through information theory principles. Includes 6 Agent Skills for automatic analysis triggering.
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Live codebase visualization and structural quality gate — 14 health dimensions graded A-F, dependency analysis, and architecture governance via MCP
Generate comprehensive analysis and documentation of entire codebase
Codebase structural index — scan Python projects once, query the import graph for blast-radius and coupling before touching code — Python projects only
Persistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions. 12 hooks, 41 MCP tools, 4 skills, real-time viewer.
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Complete developer toolkit for Claude Code
Find and remove dead code across the codebase
Generate comprehensive unit tests for any function or module
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