skills/ak1ra-komj/agents-skills/generate-agents-md-for-repository

generate-agents-md-for-repository

SKILL.md

generate-agents-md-for-repository

Analyze the repository and write (or overwrite) an AGENTS.md file in the project root. The file is a concise, prescriptive orientation guide for AI coding agents. It must not duplicate README.md — link there for anything already covered.

Workflow

  1. Read README.md, pyproject.toml / package.json / equivalent manifest, and any existing config files to infer the tech stack and tooling.
  2. Identify the environment manager, test runner, linter, and build tool in use.
  3. Write AGENTS.md following the structure below.
  4. Aim for under 80 lines total.

Required sections

1. What This Project Does (2–4 sentences)

State the project's purpose and technology stack category. Add a pointer to README.md for full details.

2. Environment & Tooling — CRITICAL

Identify the exact tool that manages the environment and write explicit DO / DO NOT rules covering:

  • The exact command to run the test suite
  • How to install/sync dependencies
  • How to lint and format
  • Which alternatives are explicitly forbidden

Mark this section — CRITICAL so agents cannot miss it.

3. Conventions (non-obvious only)

Cover naming patterns and the canonical source-of-truth files agents must respect when adding new parameters or configuration keys.

4. Testing Guidelines

  • Where tests live and how they map to source modules
  • Whether external I/O must be mocked
  • Rules about keeping tests in sync when function signatures change

5. Common Operations

One shell code block with one-liner comments for the 4–6 most frequent tasks (test, lint, build, deploy, docs preview, etc.).

Style rules

  • Write in English.
  • Be prescriptive ("ALWAYS", "NEVER", "Do NOT"), not descriptive.
  • Omit content already in README.md — link there instead.
  • Prefer bullet lists and short paragraphs over prose.
Weekly Installs
6
First Seen
Mar 1, 2026
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