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plan-interrogate

Stress-test a plan by walking its decision tree one question at a time

Install / Use

npx skills add rohitg00/pro-workflow --skill plan-interrogate

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

78/100

Supported Platforms

Universal

Our assessment of plan-interrogate

plan-interrogate scores 78/100 on our quality scale, 2763rd of 3,997 Development & Engineering skills we index.

Its SKILL.md is 3.3 KB long, split into 5 sections and no code examples: a solid amount of guidance for an agent.

With 2,876 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
11/20
Description
12/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 6 days ago, so plan-interrogate is actively maintained.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

plan-interrogate compared with similar skills

All 4 of these similar skills score higher than plan-interrogate; compare them before choosing.

SkillScoreStarsUpdatedFormat
plan-interrogate (this skill)by rohitg00782.9k6d agoSKILL.md
ai-job-searchby MadsLorentzen10044.6ktodayCLAUDE.md
claude-howtoby luongnv8910041.7ktodayCLAUDE.md
algorithmic-artby anthropics100177.9k7d agoSKILL.md
pptxby anthropics100177.9k7d agoSKILL.md

Frequently asked questions

How do I install plan-interrogate?
Run npx skills add rohitg00/pro-workflow --skill plan-interrogate. The install tabs above show the steps for each supported agent.
Which AI agents does plan-interrogate work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is plan-interrogate safe to use?
It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is plan-interrogate still maintained?
The repository was last updated 6 days ago, so plan-interrogate is actively maintained.

name: plan-interrogate description: 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. user-invocable: true

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.

Outputs

The interrogation produces three artifacts, not just answers. Offer to write each; do not force it.

  1. Decision ledger (always). The resolved tree as a flat list: Decision - Choice - Source (user | inferred: <path>).

  2. CONTEXT.md (when the interrogation surfaced project-specific terms). A short shared-language file: every domain term you and the user had to pin down, with a one-line definition in the project's own words. This is what stops the agent from using twenty words where one will do next session, and keeps names in code consistent. One term per line: term - what it means here. Point future sessions at it. On re-run, merge new terms in place rather than overwriting existing ones.

  3. Decision records (for contested or hard-to-reverse nodes only). One short record per decision that a future reader would question: the context, the choice, the alternatives rejected, and why. Keep them in docs/decisions/NNNN-slug.md. Read the directory first and number from the highest existing record so two records never collide. Skip the obvious ones - a record for a trivial choice is noise.

Output contract

The 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. When you write CONTEXT.md or a decision record, keep it in the project's language, not a generic template.

Related Skills

View on GitHub
GitHub Stars2.9k
CategoryDevelopment
Updated6d ago
Forks289

Languages

JavaScript

Trust signals

88/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium