By JuyeongYi
LLM qualitative-audit layer + phased report generator, running on top of GitNexus. Phase 1 (structure) → Phase 2 (quality) → Phase 3 (flow, deterministic) → Phase 4 (usage docs). /analyze-pr for focused audits on git change sets. Requires GitNexus MCP (hard-require).
Performs structure + deep analysis of a single source file. Adapts analysis focus based on file_role (declaration, implementation, module). For implementation files, reads paired declaration mirror as context. Produces a mirror document at .codeanalyzer/mirror/{path}.md.
Run a PR-aware quality audit. Uses mcp__gitnexus__detect_changes + mcp__gitnexus__impact to identify affected subsystems, then runs Phase 2 quality-analyzer on that subset only. Fast (minutes). Use when the user wants to audit a pull request, working-tree changes, or staged changes before commit. Accepts: `/analyze-pr main..feature`, `/analyze-pr --staged`, `/analyze-pr --working-tree`, `/analyze-pr <commit>..<commit>`. Requires a prior /analyze baseline (Phase 1 must have been completed at least once).
Comprehensive source code analysis on top of GitNexus knowledge graph. Phase 1 (structure, declarations) → Phase 2 (implementation quality, per subsystem) → Phase 3 (deterministic flow + dead code via GitNexus) → Phase 4 (usage docs, optional). Supports glob and natural-language scope. Hard-requires GitNexus MCP and language-pack static tools. Use when the user wants to analyze code quality, understand project structure, or get a full codebase audit.
Phase 4: Generate API reference document. Compiles the Exports/Public API sections from Phase 1 mirror documents and class hierarchy information into a public API listing with signatures and usage examples.
Phase 4: Generate project architecture overview document. Synthesizes Phase 1 structural analysis (subsystems, dependencies, class hierarchy) and Phase 3 flow analysis (entry points, call graphs) into a comprehensive architecture description.
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개인 Claude Code 플러그인 컬렉션을 관리하는 마켓플레이스입니다.
comfydev_helperlearning-assistantpy-inspectorue-inspectorgit clone https://github.com/JuyeongYi/jylee_claude_marketplace.git
cd jylee_claude_marketplace
# Linux/Mac
ln -s $(pwd)/comfydev_helper ~/.config/claude-code/plugins/comfydev_helper
# Windows (관리자 권한 필요)
mklink /D "%APPDATA%\claude-code\plugins\comfydev_helper" "%CD%\comfydev_helper"
각 플러그인의 README.md 파일을 참조하여 사용법을 확인하세요:
새로운 플러그인을 추가하려면 CONTRIBUTING.md를 참조하세요.
각 플러그인은 다음 구조를 따릅니다:
plugin-name/
├── .claude-plugin/
│ └── plugin.json # 플러그인 메타데이터
├── commands/ # 슬래시 커맨드
├── agents/ # 전문 에이전트
├── skills/ # 기술 문서
└── README.md # 플러그인 문서
MIT License - 자유롭게 사용, 수정, 배포 가능합니다.
JuyeongYi
기여는 언제나 환영합니다! 자세한 내용은 CONTRIBUTING.md를 참조하세요.
버그 리포트나 기능 제안은 GitHub Issues를 통해 제출해 주세요.
npx claudepluginhub juyeongyi/jylee_claude_marketplace --plugin code-analysisAnalyzes and refactors Unreal Engine C++ code to be more AI-friendly, following research-backed best practices for improved AI tool compatibility
C++/C language pack for code-analysis v2. Declares hard-require static tools (clang-tidy, cppcheck, iwyu, codeanalyzer-metrics) in strategy, supplies C++-specific qualitative audits (after-analyze-file), C++ false-positive filters (after-phase3-trace), and Cypher-driven Phase-4 docs (class hierarchy, template catalog).
Manage custom CLI tools with Claude Code integration. Currently supports m2m for 3D mesh format conversion (GLB, GLTF, OBJ, FBX, USD, STL, PLY, ABC).
Autonomous codebase improvement loops. Unlike Ralph Loop (retry on failure), Ouroboros runs continuous improvement cycles — each iteration proactively analyzes, fixes, and enhances the codebase regardless of prior success.
Discord channel for Claude Code — messaging bridge with built-in access control. Manage pairing, allowlists, and policy via /discord:access.
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
v9.52.0 - Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.
Connect to Atlassian products including Jira and Confluence. Search and create issues, access documentation, manage sprints, and integrate your development workflow with Atlassian's collaboration tools.