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29 skills

Each listing spells out exactly what's inside — the steps, the ready-to-run code, and which AI tools it works with — so you know what you're getting before you buy.

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Design Model Context Protocol resources and prompts that expose data and workflows to AI agents following the MCP specification.

  • 9-step procedure
  • 6 pitfalls to avoid
  • Installs into 6 tools
agent-infrastructureBest with a strong model (Claude Sonnet 4)·5 min read·Updated today

Use when asked to build or review an MCP server wrapping an API, database, or CLI so agents can call it through well-designed, strictly typed tools.

  • 9-step procedure
  • 11-point quality checklist
  • 6 pitfalls to avoid
agent-infrastructureBest with a strong model (Claude Sonnet 4)·6 min read·Updated today

Use when a prompt underperforms and needs systematic diagnosis, single-variable experiments, and A/B evidence instead of guess-and-check rewrites.

  • 8-step procedure
  • 1 ready-to-run code block
  • 8-point quality checklist
agent-infrastructureBest with a strong model (Claude Sonnet 4)·6 min read·Updated today

Use when creating, improving, or reviewing an agent skill: scope one job, write routing-grade descriptions, and verify with fresh-agent tests.

  • 10-step procedure
  • 1 ready-to-run code block
  • 11-point quality checklist
agent-infrastructureBest with a strong model (Claude Sonnet 4)·6 min read·Updated today

Design voice assistant experiences: intent design, dialogue management, error recovery, and multi-modal handoff.

  • 8-step procedure
  • 6 pitfalls to avoid
  • Installs into 6 tools
agent-infrastructureBest with a strong model (Claude Sonnet 4)·4 min read·Updated today
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