Master Plans

47 comprehensive init.md master plans covering DevOps, Infrastructure, Security, Cloud, and AI/ML domains. Each master plan is a detailed planning document ready for SKILL.md implementation.

What are Master Plans?

Master plans are detailed planning documents that contain:

• Strategic positioning and market context - Why this skill matters
• Component taxonomy - Comprehensive breakdown of all patterns
• Decision frameworks - When to use each approach
• Tool recommendations with research backing - Verified tools and libraries
• Integration points with other skills - How skills work together
• Implementation roadmap - Phased approach to building the skill

Categories

Category	Skills	Key Skills
Infrastructure	12	Kubernetes, IaC, Networks, Service Mesh
Security	6	Architecture, Compliance, TLS, SIEM
DevOps	6	CI/CD, GitOps, Testing, Platform
Developer Productivity	7	APIs, CLIs, SDKs, Docs
Data	6	Architecture, Streaming, Transform, SQL
AI/ML	4	MLOps, Prompts, Eval, Embeddings
Cloud	3	AWS, GCP, Azure
FinOps	3	Costs, Tags, Hardening

Multi-Language Skills

9 master plans include implementations in multiple programming languages:

• TypeScript - Node.js backends, web applications
• Python - Data engineering, ML, automation
• Go - High-performance services, CLI tools
• Rust - Systems programming, performance-critical code

Skill Levels

Master plans are categorized by complexity:

• Low (Quick Reference) - 300-500 lines, tactical patterns (e.g., resource-tagging)
• Mid (Implementation Patterns) - 500-800 lines, decision frameworks (e.g., cost-optimization)
• High (Comprehensive Guide) - 800-1200 lines, end-to-end workflows (e.g., aws-patterns)

Next Steps

These master plans are ready for SKILL.md implementation following Anthropic's best practices.

How to Implement a Skill

1. Read the init.md master plan - Understand strategic positioning and scope

2. Review decision frameworks - Core patterns to include in SKILL.md

3. Follow the 6-step process from Anthropic's skill-creator:

   • Concrete examples first
   • Plan reusable resources (scripts/, references/, examples/)
   • Create SKILL.md (main file)
   • Add bundled resources
   • Validate and package
   • Iterate based on real usage

4. Progressive disclosure - Main SKILL.md references detailed files

5. Testing - Use real tasks, measure effectiveness

Contributing

All master plans are in the ai-design-components repository. Each skill directory contains:

• init.md - Master plan (complete)
• SKILL.md - Main skill file (to be created)
• references/ - Detailed documentation
• examples/ - Working code examples
• scripts/ - Utility scripts
• assets/ - Templates and resources (optional)