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Ordered implementation plan v1.0.0

Use this resource to turn a confirmed outcome into an implementation plan before any change

New

  • 318 downloads
  • 162 likes
  • 248 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install implementation-plan-ordered-steps

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 turns a confirmed outcome into ordered steps with the files to change and the expected proof, applying DRY, KISS and YAGNI as relevant. It saves the plan and stops before execution. Do not combine it with Superpowers, Ponytail or Caveman unless explicitly requested.

Mostly picked by

Updated November 2, 2026

Card for the “Ordered implementation plan” skill

Details

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

Similar resources

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What you get

  • SKILL.md: plan contract and planning rules
  • templates/templates.md: plan template

Good fit for

  • You have validated the need and want a precise plan before coding
  • A task touches several files and needs to be split

Not for

    Tags

    • plan
    • implementation
    • steps
    • proof

    About

    You say

    “Write the implementation plan for the CSV export, file by file, with the expected proof.”

    Card for the “Ordered implementation plan” skill

    Skill published by danangjoyoo 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 turn a confirmed outcome into an implementation plan before any change
    3. Review and adjust the result

    Content preview

    Files

    • agents/openai.yaml0.2 KB
    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/artifact-layout.md3.6 KB
    • references/comprehensive.md1.2 KB
    • references/dry.md1.3 KB
    • references/kiss.md1.3 KB
    • references/principle-selection.md1.5 KB
    • references/subagent-model-mapping.md3.7 KB
    • references/yagni.md0.6 KB
    • SKILL.md5.3 KB
    • templates/templates.md8.9 KB

    Origin and licence

    Listed unmodified

    Author
    danangjoyoo
    Source
    github.com/danangjoyoo/nerd/tree/20fe1d841603f32b9b2163c95d6c4cbf5f250306/skills/nerd-plan
    Licence
    MIT

    Notice

    « nerd-plan » (danangjoyoo, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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