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Production-ready configuration for Claude Code: global instructions, multi-language coding rules, plugins, MCP integration, and a self-improvement loop.
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├── CLAUDE.md # Global instructions
├── settings.json # Settings (permissions, plugins, hooks, model)
├── lessons.md # Self-correction log template (auto-loaded via hook)
├── rules/ # Multi-language coding standards (common + python/typescript/golang)
├── mcp/ # MCP server config (Lark-MCP only)
├── plugins/ # Plugin installation guide (19 plugins, 5 marketplaces)
├── skills/ # Custom skills (paper-reading)
└── install.sh # One-command installer
git clone https://github.com/Mizoreww/claude-code-config.git
cd claude-code-config
./install.sh # Install everything
./install.sh --dry-run # Preview changesSelective install:
./install.sh --rules python typescript # Rules only
./install.sh --plugins # Plugins only
./install.sh --mcp # MCP only- User corrects Claude → auto-saved to
~/.claude/lessons.md - Next session →
SessionStarthook auto-injects lessons into context - Pattern confirmed → rule promoted to
CLAUDE.md
settings.json includes two SessionStart hooks:
- startup: Injects lessons.md when a new session starts
- compact: Re-injects lessons.md after context compaction
Replaces the previous approach of requiring manual Read lessons.md in CLAUDE.md (more reliable).
common/ → Universal principles (always loaded)
↓ extended by
python/ → PEP 8, pytest, black, bandit
typescript/ → Zod, Playwright, Prettier
golang/ → gofmt, table-driven tests, gosec
19 plugins across 5 marketplaces. Context7, GitHub, Playwright migrated from MCP to official plugins. Only Lark-MCP remains as MCP.
| Plugin | Marketplace | What It Does |
|---|---|---|
| superpowers | claude-plugins-official | Brainstorming, debugging, code review, git worktrees, plan writing |
| everything-claude-code | everything-claude-code | TDD, security review, database patterns, Go/Python/Spring Boot |
| document-skills | anthropic-agent-skills | PDF, DOCX, PPTX, XLSX creation and manipulation |
| example-skills | anthropic-agent-skills | Frontend design, MCP builder, canvas design, algorithmic art |
| claude-mem | thedotmack | Persistent memory with smart search, timeline, AST-aware code search |
| frontend-design | claude-plugins-official | Production-grade frontend interfaces |
| context7 | claude-plugins-official | Up-to-date library documentation lookup |
| code-review | claude-plugins-official | Confidence-based code review |
| github | claude-plugins-official | GitHub integration (issues, PRs, workflows) |
| playwright | claude-plugins-official | Browser automation, E2E testing, screenshots |
| feature-dev | claude-plugins-official | Guided feature development |
| code-simplifier | claude-plugins-official | Code simplification and refactoring |
| ralph-loop | claude-plugins-official | Session-aware AI assistant REPL |
| commit-commands | claude-plugins-official | Git commit, clean branches, commit-push-PR |
| fine-tuning | ai-research-skills | Axolotl, LLaMA-Factory, PEFT, Unsloth |
| post-training | ai-research-skills | GRPO, RLHF, DPO, SimPO |
| inference-serving | ai-research-skills | vLLM, SGLang, TensorRT-LLM, llama.cpp |
| distributed-training | ai-research-skills | DeepSpeed, FSDP, Megatron-Core, Ray Train |
| optimization | ai-research-skills | AWQ, GPTQ, GGUF, Flash Attention, bitsandbytes |
See plugins/README.md for installation details.
| Skill | Description |
|---|---|
| paper-reading | Structured research paper summarization with auto-screenshot of key figures. Uses ar5iv HTML for arXiv papers, Playwright for figure capture, outputs standardized markdown (problem, method, experiments, insights). |
Place custom skills in skills/<name>/SKILL.md.
settings.json ships with bypassPermissions mode for power users. If you prefer safer defaults, change defaultMode to "default" and set skipDangerousModePermissionPrompt to false.
- Add a language: Create
rules/<lang>/extending common rules - Add a skill: Place in
skills/<name>/SKILL.md - Adapt CLAUDE.md: Customize for your shell, package manager, and project context
- AI Agent Workflow Orchestration Guidelines by @OmerFarukOruc — Inspiration for workflow orchestration
- Harness Engineering by OpenAI — "Harness Engineering": engineers shift from writing code to designing systems, using agents to generate a million lines of code
- Working for 10 Claude Codes by Hu Yuanming — Practical experience running multiple Claude Code instances in parallel
- Claude Code in Action by Anthropic Academy — Official course covering Claude Code integration, MCP servers, GitHub automation, and dev workflows
- ChatGPT Prompt Engineering for Developers by DeepLearning.AI & OpenAI — Introductory prompt engineering course by Andrew Ng and Isa Fulford
MIT