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Michael Lynn
Claude Skills

Claude Skills

Production-ready skill packages for AI coding agents. A curated collection of structured knowledge bundles that give coding assistants deep expertise in specific domains.

By Michael Lynn • 3/4/2025
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Claude Skills

Overview

Claude Skills is a curated collection of AI agent skill packages — structured knowledge bundles that give coding assistants deep expertise in specific domains. Each skill contains battle-tested patterns, CLI tools, and reference documentation extracted from production applications and 10+ years of field experience.
Skills follow the open SKILL.md specification: YAML frontmatter for metadata, markdown for instructions, and optional Python tools for automation. This format is natively supported by Claude Code and adaptable to any AI agent platform.

Features

  • 17 Skills: MongoDB DevRel skills and professional skills for technical work
  • 37 Python Tools: Zero external dependencies — standard library only
  • 31 Reference Docs: Detailed knowledge base documents
  • 21+ Asset Templates: Copy-paste ready templates
  • Agent Agnostic: Compatible with Claude Code, OpenAI Codex, Cursor, Windsurf, Aider, and custom agents

Skill Collections

MongoDB DevRel Skills (8 skills)

Skills for building Next.js + MongoDB applications following MongoDB Developer Relations conventions:
  • mongodb-nextjs-scaffold — Project bootstrap with MongoDB branding
  • mongodb-rbac-middleware — NextAuth v5 + 8-role RBAC + edge middleware
  • mongodb-email-system — DB-backed transactional email templates
  • mongodb-atlas-provisioning — Self-service Atlas cluster management
  • mongodb-ai-features — AI/RAG integration with MongoDB Atlas
  • mongodb-event-platform — Event/hackathon lifecycle management
  • mongodb-partner-portal — Partner tiers, contacts, engagement tracking
  • mongodb-devrel-advisor — Always-on conventions and architecture advisor
Origin: Extracted from the MongoDB Hackathon Platform.

Professional Skills Collection (9 skills)

General-purpose skills for technical work, developer relations, and professional development:
  • rag-pipeline-builder — Build RAG systems with Voyage AI embeddings
  • resume-tailorer — ATS-optimize resumes for job postings
  • developer-day-curriculum — Design workshop agendas and exercises
  • mcp-server-scaffold — Generate MCP tool servers from OpenAPI specs
  • document-model-advisor — MongoDB schema design (embed vs reference)
  • conference-talk-builder — Create CFPs and talk outlines
  • queryable-encryption-workshop — Industry-specific QE demos with compliance mapping
  • technical-comparison-generator — Fair MongoDB vs competitor comparisons
  • hackathon-judge-assistant — Scoring rubrics and constructive feedback
Origin: Patterns from 10+ years MongoDB field work, 50+ workshops, 100+ schema reviews, hackathon judging.

Technical Details

Skill Anatomy

Every skill follows a consistent structure:
<skill-name>/
├── SKILL.md              # Entry point: YAML frontmatter + instructions
├── README.md             # Quick start guide
├── scripts/              # Python CLI tools (standard library only)
│   ├── tool1.py
│   ├── tool2.py
│   └── tool3.py
├── references/           # Detailed knowledge base documents
│   ├── patterns.md
│   └── best-practices.md
└── assets/               # Templates, sample data, starter files
    ├── template1.json
    └── template2.md

Design Principles

  • Real code, not pseudocode — patterns extracted from production
  • Architecture decisions documented — explains WHY, not just WHAT
  • Zero external dependencies — Python tools use standard library only
  • Self-contained — each skill works independently
  • Deterministic tools — no LLM/API calls; pure local computation

Agent Compatibility

| Platform | Status | Install Method | |----------|--------|----------------| | Claude Code | Native | claude skill add or .claude/settings.local.json | | OpenAI Codex | Compatible | Copy SKILL.md to .codex/skills/ | | Cursor | Compatible | Reference in rules or context | | Windsurf | Compatible | Reference in rules or context | | Aider | Compatible | Load as context files | | Custom agents | Compatible | Load SKILL.md as system context |

Use Cases

For AI Agents

  • Deep domain expertise on demand
  • Battle-tested patterns and architectures
  • Consistent structure for reliable outputs
  • Zero external dependencies (all local)

For Developers

  • Reference implementations
  • CLI tools for automation
  • Architecture decision documentation
  • Copy-paste ready templates

For Teams

  • Shared knowledge base
  • Consistent conventions
  • Onboarding materials
  • Code review checklists

Distribution

Skills are available as individual ZIP files or collection bundles in the dist/ directory. Pre-packaged ZIPs include all MongoDB skills, all professional skills, or individual skill downloads.

Results

Claude Skills has successfully:
  • Packaged 17 production-ready skills for AI agents
  • Delivered 37 Python CLI tools with zero external dependencies
  • Created 31 reference documents for deep domain knowledge
  • Achieved compatibility across major AI agent platforms
  • Extracted patterns from real MongoDB Hackathon Platform and 10+ years of field experience

License

This project is licensed under the MIT License. Open source and ready for your AI agent.