Reading
A reference project demonstrating how to configure and customize Claude Code, including best practices for agent definition, skill configuration, and workflow orchestration.
Section 01
mpx-claude-code is a reference project demonstrating how to configure and customize Claude Code, providing best practices for agent definition, skill configuration, and workflow orchestration. It helps developers transform AI programming assistants from general-purpose tools into intelligent development partners tailored to project needs, addressing the challenges of AI agent configuration management.
Section 02
Claude Code is an AI programming assistant launched by Anthropic, capable of understanding the full project context, executing complex tasks, being context-aware, and integrating with tools.
Custom configurations can improve accuracy, standardize outputs, automate processes, and unify the team's development experience.
Section 03
A layered architecture defines 5 types of agents: full-stack development, front-end expert, back-end architecture, testing quality, and code review.
Modular skills are categorized into technical (e.g., typescript-expert), process (e.g., git-workflow), and domain (e.g., ecommerce-patterns) types, supporting activation via YAML configuration.
Combine agents and skills into reusable workflows (feature development, bug fixing, refactoring), supporting YAML configuration syntax.
Section 04
Shared configurations unify code styles, accelerate new member integration, and maintain consistent review standards.
Predefined templates reduce initialization costs, ensure reasonable architecture, and avoid common pitfalls.
Configurations solidify team experience, help new members learn standards, and prevent knowledge loss.
Section 05
Should include project structure description, tech stack constraints, coding standards, and architectural principles.
Adopt a layered strategy: base layer → technical layer → project layer → personal layer.
Include configurations in Git, manage environment differences with branches, and record reasons for changes.
Section 06
Supports multiple formats (YAML/JSON/TOML), configuration inheritance, environment variables, and validation mechanisms.
Sandbox isolation, context injection, tool registration, and log tracking.
Allows custom agent definition and skill registration (see original text for example code).
Section 07
VS Code extension, JetBrains plugin, Neovim Lua configuration.
GitHub Actions, GitLab CI, Jenkins custom steps.
Jira requirement association, Linear issue tracking, Notion knowledge base synchronization.
Section 08
mpx-claude-code provides a complete configuration reference for Claude Code users, optimizing the AI development experience through three dimensions: agents, skills, and workflows. Future directions include adaptive configuration, multi-agent negotiation, learning optimization, and visual orchestration.
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