agentleFS
karim-embarekkarim-embarek/superpowers-antigravity/skills/superpowers-executing-plans/SKILL.md

superpowers-executing-plans

Skill2 starsChanged 3 months agoMITView on GitHub

Iterative execution of multi-step plans with batching, validation checkpoints, and progress tracking.

2 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill to execute a written implementation plan step-by-step.

    line 8
  2. Distinctive:

    Follow the tasks defined in the implementation plan in sequence.

    line 13
  3. Distinctive:

    Update the plan status after each completed task.

    line 17
  4. Distinctive:

    If an unexpected error or architectural conflict arises, pause execution, update the implementation plan, and seek user input.

    line 21

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Superpowers: Executing Plans Skill

Use this skill to execute a written implementation plan step-by-step.

Protocol

  1. Execute Task by Task:
    • Follow the tasks defined in the implementation plan in sequence.
    • For each task, write tests first (TDD), implement the code, and run verification.
  2. Checkpoint & Update Progress:
    • Update the plan status after each completed task.
    • Report progress concisely to the user.
  3. Adaptability:
    • If an unexpected error or architectural conflict arises, pause execution, update the implementation plan, and seek user input.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.