Developer shares lessons from Matt Pocock's AI agent instruction files on GitHub

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TypeScript educator Matt Pocock published a public GitHub repository called 'mattpocock/skills' containing his personal '.agents' directory — a collection of structured Markdown files that define how AI coding agents should behave. Each file specifies a focused persona, explicit task instructions, and 'Avoid' sections that prevent common agent mistakes such as renaming public APIs or introducing unnecessary dependencies. A developer who studied the repository highlighted that most engineers give AI tools minimal context, while Pocock's approach treats the agent like a new hire requiring detailed onboarding documentation. The files are designed to be loaded into an agent's context window at specific moments, with filenames like 'write-typescript.md' and trigger sections that help routing logic select the right instructions. The key practical insight is that well-structured, constraint-rich prompt files can significantly reduce unwanted code changes and brittle test patterns generated by agentic coding tools.

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