Guides creation of high-quality MCP servers using FastMCP (Python) or MCP SDK (Node/TypeScript), covering tool naming, error handling, and protocol design for LLM-tool integration.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub minhthang1009/dotclaude --plugin mcp-builderAdds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
Audit, evaluate quality, and improve CLAUDE.md files. Captures session learnings and keeps project memory up to date.
Build complex HTML artifacts (React, Tailwind, shadcn/ui) with state management for inline rendering in Claude
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
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.