A practical guide to building and distributing Claude Code Skills from scratch, covering the full lifecycle: planning use cases, writing effective YAML frontmatter descriptions that reliably trigger the Skill, choosing between three implementation patterns (prompt-only, prompt+scripts, or Skill+MCP/Subagent), testing with realistic messy prompts, and distributing via ZIP upload or project repo. Key insights include how Claude's progressive disclosure loads Skill content in stages to preserve context, why descriptions must be specific and 'pushy' to trigger reliably, and how to use Anthropic's skill-creator tool to optimize trigger rates.

11m read timeFrom towardsdatascience.com
Post cover image
Table of contents
1. Introduction2. What Is a Claude Skill?3. Skills vs MCP vs Subagents4. Planning and Design5. Implementation Patterns6. Testing7. DistributionConclusion
1 Comment

Sort: