agentleFS
BuddhiliveBuddhilive/buddhi-cli/.agents/skills/agents-md/SKILL.md

agents-md

Skill1 starsChanged 14 days agoMITView on GitHub

Inspect repository manifests, build tools, and agent workflows to generate or update a concise AGENTS.md (~12 lines) without overwriting custom sections. Use when creating or updating AGENTS.md, or when project build/test commands have changed.

36 other projects use a version of this.

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Used with

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The file

We split this skill into the rules it gives an agent

6 rules. 0 are common, 2 are distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 32 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create or update the repository's AGENTS.md file using real project manifests and evidence.

    line 8
  2. Very specific:

    Run the detection helper with --diff via the terminal-runner agent:

    line 17
  3. Very specific:

    Verify that all detected commands (install, build, test, lint, typecheck) trace to actual manifests (pyproject.toml, package.json, …

    line 27
  4. Distinctive:

    Verify that the core block stays within ~12-15 lines.

    line 28
  5. Very specific:

    If AGENTS.md already exists, confirm that all hand-crafted custom sections (e.g.

    line 29
  6. Very specific:

    If the user wants to audit principles in an existing AGENTS.md for 100-year endurance, hand off to /audit-agents.

    line 38

“Common” is measured: kept by at least 6 in 10 of the 32 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

/agents-md

Create or update the repository's AGENTS.md file using real project manifests and evidence.

The AGENTS.md file gives coding agents operational context on dev environment setup, build, test, and lint commands, and points to granular skills and docs. Research by the Agentic AI Foundation (July 2026) showed that including a concise AGENTS.md eliminates worst-case command failure loops, reducing diff sizes by 26%, wall clock time by 27%, and tokens by 25%.

The core principle is brevity: keep the top-level AGENTS.md concise (~12 lines). Granular runbooks belong in .agents/skills/ and codebase architecture in .buddhi/docs/.

Steps

  1. Inspect and Compute Diff: Run the detection helper with --diff via the terminal-runner agent:
    python .agents/skills/agents-md/scripts/detect_agents_md.py --diff
    Or examine detected facts in JSON mode:
    python .agents/skills/agents-md/scripts/detect_agents_md.py --json
  2. Review Proposed Changes:
    • Verify that all detected commands (install, build, test, lint, typecheck) trace to actual manifests (pyproject.toml, package.json, Cargo.toml, go.mod, Makefile, etc.).
    • Verify that the core block stays within ~12-15 lines.
    • If AGENTS.md already exists, confirm that all hand-crafted custom sections (e.g. ## Engineering Principles & Non-Negotiables) are preserved byte-for-byte in the diff.
  3. Apply Changes: Once confirmed by the user, apply the changes:
    python .agents/skills/agents-md/scripts/detect_agents_md.py --apply
  4. Principles Audit (Optional): If the user wants to audit principles in an existing AGENTS.md for 100-year endurance, hand off to /audit-agents.

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