Co-Pilot
Updated 24 days ago

claude-arsenal

Mmajiayu000
0.0k
majiayu000/claude-arsenal
82
Agent Score

💡 Summary

Claude Arsenal is a comprehensive library of production-ready skills and specialized agents for Claude Code.

🎯 Target Audience

Software DevelopersProduct ManagersDevOps EngineersUX/UI DesignersTechnical Team Leads

🤖 AI Roast:Powerful, but the setup might scare off the impatient.

Security AnalysisMedium Risk

Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); API keys/tokens handling and storage. Run with least privilege and audit before enabling in production.


Quick Start

One-Line Install (All Skills)

curl -fsSL https://raw.githubusercontent.com/majiayu000/claude-arsenal/main/install.sh | bash

Manual Install (Selective)

# Clone the repository git clone https://github.com/majiayu000/claude-arsenal.git cd claude-arsenal # Install specific skills ./install.sh --skills typescript-project,python-project,devops-excellence # Or install everything ./install.sh --all

Verify Installation

In Claude Code, type / to see your installed skills.


Skills

Development Architecture

Build production-ready projects with language-specific best practices.

| Skill | Language | Key Features | |-------|----------|--------------| | typescript-project | TypeScript | ESM, Zod, Biome, Clean Architecture | | python-project | Python | uv, Pydantic, Ruff, FastAPI | | rust-project | Rust | Cargo workspace, error handling, async | | golang-web | Go | Chi/Echo, sqlc, structured logging | | zig-project | Zig | Build system, memory management |

Product Lifecycle

End-to-end product development from discovery to deployment.

| Skill | Phase | What You Get | |-------|-------|--------------| | product-discovery | Discovery | JTBD, user interviews, market research | | prd-master | Definition | PRD writing, user stories, RICE prioritization | | technical-spec | Design | Design docs, ADR, C4 diagrams | | product-analytics | Growth | Event tracking, A/B testing, AARRR | | devops-excellence | Deployment | CI/CD, Docker, Kubernetes, GitOps | | observability-sre | Operations | Monitoring, logging, tracing, SLO/SLI |

API & Backend

| Skill | Description | |-------|-------------| | api-design | REST/GraphQL/gRPC patterns, OpenAPI 3.2 | | auth-security | OAuth 2.1, JWT, security best practices | | database-patterns | PostgreSQL, Redis, migrations, optimization |

Development Practices

| Skill | Description | Origin | |-------|-------------|--------| | test-driven-development | RED-GREEN-REFACTOR cycle | obra/superpowers | | systematic-debugging | 4-phase debugging framework | obra/superpowers | | elegant-architecture | Clean architecture, 200-line file limit | Custom | | comprehensive-testing | Test pyramid, TDD, mocking strategies | Anthropic | | brainstorming | Socratic design refinement | obra/superpowers |

UI/UX & Design

| Skill | Description | |-------|-------------| | app-ui-design | iOS/Android UI design, Material Design 3, HIG | | product-ux-expert | UX evaluation, heuristics, accessibility | | frontend-design | Web frontend design patterns | | ui-designer | Design system toolkit | | figma-to-code | Figma to production-ready code | | figma-to-react | Pixel-perfect Figma to React/Next.js | | react-best-practices | React/Next.js performance optimization | | artifacts-builder | Claude.ai HTML artifacts |

Tooling & Automation

| Skill | Description | |-------|-------------| | git-commit-smart | Conventional commit generation | | playwright-automation | Browser automation and testing | | project-health-auditor | Codebase health analysis | | structured-logging | JSON logging with OpenTelemetry | | web-asset-generator | Favicons, app icons, OG images | | github-trending | GitHub trending analysis |

Mobile & Cross-Platform

| Skill | Description | |-------|-------------| | harmonyos-app | HarmonyOS with ArkTS, ArkUI, Stage Model |

Rust Specific

| Skill | Description | |-------|-------------| | rust-best-practices | Microsoft Rust guidelines, error handling |


Agents

Specialized agents for complex tasks.

| Agent | Expertise | Use Case | |-------|-----------|----------| | tech-lead-orchestrator | Coordination | Multi-step tasks, delegation | | code-archaeologist | Exploration | Legacy codebase documentation | | backend-typescript-architect | Architecture | Bun/Node.js, API design | | senior-code-reviewer | Review | Security, performance, architecture | | kubernetes-specialist | Infrastructure | K8s, Helm, GitOps | | security-auditor | Security | OWASP Top 10, SAST | | opensource-contributor | Contribution | Open source workflow |


Skill Design Philosophy

Every skill in Claude Arsenal follows these principles:

  1. Hard Rules - Mandatory constraints with FORBIDDEN / REQUIRED markers
  2. Practical Examples - Real code, not just theory
  3. Verification Checklists - Actionable validation steps
  4. Battle-Tested - Used in production environments

Documentation

| Document | Description | |----------|-------------| | Installation Guide | Detailed setup instructions | | Skill Testing Guide | How to validate skills work | | Creating Plugins | Build your own skills | | Product Lifecycle (EN) | Full lifecycle coverage | | Product Lifecycle (中文) | 产品生命周期覆盖 |


Credits

Built on the shoulders of giants:


Contributing

Contributions welcome! Please read our Contributing Guide first.


License

MIT License - Use freely in your projects.


5-Dim Analysis
Clarity9/10
Novelty7/10
Utility9/10
Completeness8/10
Maintainability8/10
Pros & Cons

Pros

  • Wide range of skills available.
  • Production-ready and well-documented.
  • Supports multiple programming languages.

Cons

  • Installation may require shell access.
  • Complexity may overwhelm beginners.
  • Limited examples for some skills.

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author majiayu000.