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Plan for openclaw

Skill LeoYeAI/openclaw-coding-skills/skills/plan-for-openclaw

Break coding work into ordered, verifiable tasks for OpenClaw execution. Use when the request sounds like "make a plan", "break this into steps", "split this into tasks", "figure out the implementation order", or when work spans enough files or uncertainty that explicit checkpointing and a maintained plan file will reduce risk.From its SKILL.md

Install
npx -y skills add LeoYeAI/openclaw-coding-skills --skill plan-for-openclaw

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.2 KB, 189 tokens by cl100k_base, as published. Nobody here has run it

Plan For OpenClaw

Convert intent into a sequence the agent can execute without losing rigor.

Process

  1. Read the relevant local rules.
  2. Decide whether the task qualifies as a long task.
  3. Create or update plan.md when the workspace requires it.
  4. Break the work into thin vertical slices.
  5. Order slices by dependency and risk.
  6. Define what evidence will mark each slice complete.
  7. Keep the plan updated during execution.

Planning Heuristics

  • Prefer tasks that can be verified independently.
  • Avoid steps that combine refactor, feature work, and cleanup in one block.
  • Put the highest-uncertainty slice early enough to de-risk the task.
  • Keep wording operational, not aspirational.

Red Flags

  • A task list that is really just a vague summary
  • Large steps with no verification story
  • A plan that stops being updated after work begins

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.