Agent skill · Code Review & Quality

executing-plans

Use when you have a written implementation plan to execute in a separate session with review checkpoints between batches.

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexMIT
Install
npx skills add a5c-ai/babysitter --skill executing-plans --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Path: library/methodologies/superpowers/skills/executing-plans/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

- Executing in a separate/parallel session - Want human checkpoints between task batches ## Process 1. Load persisted tasks (resume support) 2. Verify/setup worktree 3. Execute tasks in batches (default 3) 4. Report after each batch, wait for feedback 5. Finish branch after all tasks complete ## Agents Used - Process agents defined in `executing-plans.js` - References `using-git-worktrees` for workspace isolation - References `finishing-a-development-branch` for completion ## Tool Use Invoke via babysitter process: `methodologies/superpowers/executing-plans`

What's inside
Steps it walks through
  1. Process
  2. Agents Used
  3. Tool Use
Ships with 1 file
  • README.md
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About this skill
What does the executing-plans skill do?

Use when you have a written implementation plan to execute in a separate session with review checkpoints between batches.

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill executing-plans --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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