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Setting up a repository for AI coding agents v1.0.0

Use this resource to make a repository workable for coding agents with documentation and architecture rules

New

  • 422 downloads
  • 116 likes
  • 172 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install agent-ready-repo-harness

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent assesses a repository, then sets up the structure that guides agents: a short AGENTS.md, a docs folder, architecture boundaries and .harness/*.yml files. It also proposes a quality score to track progress. You get a repository where agents find the context they need.

Mostly picked by

Updated November 2, 2026

Card for the “Setting up a repository for AI coding agents” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: four-phase method, from assessment to architecture
  • references/: YAML schemas, quality scoring and documentation model

Good fit for

  • Coding agents ignore the conventions of your repository
  • You want architecture boundaries enforced by rules

Not for

    Tags

    • agents
    • agents.md
    • documentation
    • architecture
    • repository

    About

    You say

    “Make this repo agent-ready: create AGENTS.md, a docs folder and .harness rules for our domains.”

    Card for the “Setting up a repository for AI coding agents” skill

    Skill published by pproenca under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to make a repository workable for coding agents with documentation and architecture rules
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • metadata.json1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/architecture-layer.md11.5 KB
    • references/assessment.md5.6 KB
    • references/core-beliefs.md5.7 KB
    • references/enforcement-layer.md8.1 KB
    • references/knowledge-layer.md8.4 KB
    • references/process-patterns.md8.7 KB
    • references/quality-scoring.md3.7 KB
    • references/yml-schemas.md12.2 KB
    • SKILL.md21.4 KB

    Origin and licence

    Listed unmodified

    Author
    pproenca
    Source
    github.com/pproenca/dot-skills/tree/cf93c57cac89d6fc3e4194686000411567f5caf3/skills/.experimental/harness-engineering
    Licence
    MIT

    Notice

    « harness-engineering » (pproenca, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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