Agent skill · Testing & QA

plan-interrogate

Stress-test a plan by walking its decision tree one question at a time. Use when the user wants to pressure-test a design before implementation.

Rohit Ghumare73,165★ · +3,601/wk · 3 repos on radarProfile →
claude-codecodexcursor
Install
npx skills add rohitg00/pro-workflow --skill plan-interrogate --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/plan-interrogate/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,760 · +95 this week
Language: JavaScript
Read our review of the source →

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

From the SKILL.md

# plan-interrogate Drive a plan from sketch to commitment by resolving every open decision before any code is written. ## Method 1. Restate the plan in one paragraph. Confirm with the user that this is the plan being interrogated. Do not proceed on a mis-restatement. 2. Extract the decision tree. Every branch point becomes a node. Mark each node as **open** (undecided) or **resolved**. A resolved

More from pro-workflow
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About this skill
What does the plan-interrogate skill do?

Stress-test a plan by walking its decision tree one question at a time. Use when the user wants to pressure-test a design before implementation.

How do I install it?

Run `npx skills add rohitg00/pro-workflow --skill plan-interrogate --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 rohitg00/pro-workflow, a repository with 2,760 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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