Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
rohitg00 avatar

Plan Interrogate

  • 43 installs
  • 2.8k repo stars
  • Updated August 3, 2026
  • rohitg00/pro-workflow

Helps with ai & agent building tasks during AI-assisted development.

About

plan-interrogate is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • plan-interrogate
  • AI & Agent Building
  • AI-coding skill

Plan Interrogate by the numbers

  • 43 all-time installs (skills.sh)
  • +10 installs in the week ending Jul 26, 2026 (Skillselion tracking)
  • Ranked #7,921 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/rohitg00/pro-workflow --skill plan-interrogate

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs43
repo stars2.8k
Last updatedAugust 3, 2026
Repositoryrohitg00/pro-workflow

What it does

Helps with ai & agent building tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

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 node carries a source tag: user (the user answered), inferred (the codebase or an existing constraint settled it). 3. Resolve in dependency order. A node is ready when every node it depends on is resolved. 4. For each ready open node, ask exactly one question. Keep the question tight and binary or small-multiple-choice when possible. 5. Pair every question with a recommended answer and one sentence of reasoning. The user can confirm, pick a different option, or push back. 6. Before asking, check whether the answer already lives in the codebase, prior commits, or an existing doc. If so, skip the question and mark the node resolved with source inferred: <path>. 7. Exit only when zero nodes are open. Print the resolved tree as a flat list: Decision — Choice — Source (user | inferred: <path>).

Anti-patterns

  • Asking multiple questions at once. The user loses context and you lose

the ability to react to each answer individually.

  • Asking before exploring. If a fifteen-second read would answer the

question, read first.

  • Asking without a recommendation. A question without a stance is a

survey; it offloads design onto the user.

  • Rolling past an unresolved node. If a dependency is not pinned, the

downstream question is premature.

Output contract

A single decision ledger the user can paste into the plan doc. No prose summary. No hedging. If the user declines to decide a node, mark it DEFERRED with the reason the user gave — this is not the same as open.

Related skills

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.