@DanKornas: Writing a good AGENTS.md shouldn’t take weeks of source digging. mimeo is a Python tool that turns an expert’s body of …

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Summary

mimeo is an open-source Python tool that automatically generates AGENTS.md or SKILL.md files from an expert's body of work, helping coding agents install better defaults.

Writing a good AGENTS.md shouldn’t take weeks of source digging. mimeo is a Python tool that turns an expert’s body of work into a ready-to-use Agent Skill or AGENTS.md for your coding agent. It helps you install better defaults into an agent by discovering sources, fetching transcripts/articles, distilling the recurring ideas, clustering them, and writing the final markdown artifact. Key features: • Two output formats – generate a SKILL.md with references, an AGENTS.md, or both • Source discovery pipeline – searches across essays, talks, interviews, podcasts, books, papers, and more • Full-content extraction – uses web extraction, YouTube captions, and optional local Whisper transcription for podcasts • Quote verification – checks clustered quotes against fetched source text and logs an audit trail • Critique pass – runs an adversarial-editor review and writes a scored issue report before you ship It’s open-source (MIT license). Link in the reply
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Writing a good AGENTS.md shouldn’t take weeks of source digging.

mimeo is a Python tool that turns an expert’s body of work into a ready-to-use Agent Skill or AGENTS.md for your coding agent.

It helps you install better defaults into an agent by discovering sources, fetching transcripts/articles, distilling the recurring ideas, clustering them, and writing the final markdown artifact.

Key features:

• Two output formats – generate a SKILL.md with references, an AGENTS.md, or both • Source discovery pipeline – searches across essays, talks, interviews, podcasts, books, papers, and more • Full-content extraction – uses web extraction, YouTube captions, and optional local Whisper transcription for podcasts • Quote verification – checks clustered quotes against fetched source text and logs an audit trail • Critique pass – runs an adversarial-editor review and writes a scored issue report before you ship

It’s open-source (MIT license).

Link in the reply

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This paper evaluates whether repository-level context files like AGENTS.md or CLAUDE.md improve coding agent performance, finding that LLM-generated context files offer little benefit and may reduce efficiency, while developer-written files are better but still not clearly advantageous.

@dongxi_nlp: https://x.com/dongxi_nlp/status/2066290950352081336

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This article discusses the design concept of how Markdown files (such as AGENTS.md and SKILL.md) in Coding Agents effectively influence agent behavior through the Harness mechanism, emphasizing the importance of loading different contexts at the right time.