agentleFS
AndyTechnologiesAndyTechnologies/my-own-skills/skills/grilling/SKILL.md

grilling

Skill0 starsChanged 39 days agoApache-2.0View on GitHub

Grill the user with one focused question at a time about a plan, decision, or idea, within a hard 50-question budget. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases. User-invoked only — never invoked by a model automatically.

193 other projects use a version of this, 131 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use capture-learning-tools, design-frontend-dev and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • The-Vibe-CompanySkill

    capture-learning-tools

    Turn technical conversations, bugs, CI failures, review comments,

    Also in 5 projects that use this

  • The-Vibe-CompanySkill

    design-frontend-dev

    Clean Impeccable frontend design skill. Use when the user wants to

    Also in 5 projects that use this

  • RoentekSkill

    loop-me

    Grill me about specs for the workflows I want to build, within this workspace.

    Also in 58 projects that use this

  • liufeng1976Skill

    setup-ts-deep-modules

    Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.

    Also in 42 projects that use this

  • FabienDehopreSkill

    decision-mapping

    Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time.

    Also in 8 projects that use this

  • AWSSkill

    wizard

    Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

    Also in 136 projects that use this

  • +3 more from The-Vibe-Company

The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 71 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    One question at a time: Ask exactly ONE focused question, wait for the answer, follow it until that decision branch resolves, THEN ask the …

    line 14
  2. Distinctive:

    User-invoked only: Never trigger yourself into a grilling loop.

    line 16
  3. Distinctive:

    Never ask two questions in the same turn.

    line 41
  4. Distinctive:

    every branch is resolved, OR

    line 46
  5. Distinctive:

    If the budget is exhausted before the tree is empty:

    line 49

“Common” is measured: kept by at least 6 in 10 of the 71 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Grilling — Bounded Interview Primitive

Interview the user to reach shared understanding, mapped as a decision tree: every decision branches into the decisions that hang off it. The interview is bounded (hard 50-question budget) and branch-following: you ask exactly ONE focused question at a time and follow each answer until its branch is resolved before moving on.

Hard constraints (non-negotiable)

  1. Hard question budget = 50. You MUST NOT ask more than 50 questions in one grilling session.
  2. One question at a time. Ask exactly ONE focused question, wait for the answer, follow it until that decision branch resolves, THEN ask the next question. Never batch multiple frontier questions into one prompt.
  3. Plan before you ask. Spend the first step designing the question path so the highest-impact decisions come first and the budget is never wasted on trivia.
  4. User-invoked only. Never trigger yourself into a grilling loop; only act when the human starts the grilling.

Step 1 — Design the question path (before asking anything)

Build the decision tree, then budget the path across it:

  1. Enumerate every decision branch you can see in the plan/design.
  2. Rank branches by impact × uncertainty: the branches that most change scope, architecture, or effort — and that you cannot infer — come first.
  3. Assign each branch a question count. Sum must be ≤ 50. If the tree needs more than 50 questions, consolidate: merge related decisions into single questions, and drop or defer the lowest-impact branches.
  4. Respect dependency ordering: a question whose answer depends on another question still open belongs LATER in the path, never ahead of its prerequisite.
  5. Finding facts is your job, never the user's. When a question needs a fact from the environment (filesystem, tools), dispatch a sub-agent to find it; don't ask the user for anything you could look up. Don't block on it — a running exploration is an unsettled prerequisite only for the questions downstream of it.
  6. Do not drag the stack/language/framework into the interview unless the user confirms it as a requirement. Frame questions around behavior, inputs, outputs, events, invariants, and domain contracts — not around "which framework" or "which language". If a stack decision genuinely matters, treat it as a decision the user must confirm, never one you assume or pull in from the repo.

Step 2 — Run the interview, one question at a time

Walk the tree branch by branch. The current question is the highest-priority unresolved branch whose prerequisites are all settled. Ask exactly ONE question:

❓ **<question title>**: <question body, might be multiple paragraphs, including multiple choices>

➡️ <your recommended answer>

Then STOP and wait for the user's answer. Follow that answer down its branch — if it opens sub-decisions, resolve them next, still one at a time, before returning to the rest of the tree. Recompute the priority of remaining branches after every answer.

Never ask two questions in the same turn. Never advance to a new branch until the current one is resolved. Watch the budget: allocate so future questions stay within the remaining budget. Once you reach 50 questions asked, stop asking. Do not exceed the budget.

Step 3 — Consolidate and hand off

The session reaches shared understanding when:

  • every branch is resolved, OR
  • you have used all 50 questions (budget exhausted).

If the budget is exhausted before the tree is empty:

  1. Consolidate what you covered into a clear shared-understanding summary.
  2. List the pending/uncovered branches explicitly as follow-ups, so nothing is silently assumed.
  3. Present the consolidated summary and any unresolved questions that block implementation to the user, and ask explicit acceptance before proceeding.

Do not act on the plan until the user explicitly approves it. A confirmed frontier is not the same as user approval — approval is a separate, explicit act by the human. If you hit the budget and the user wants to continue, that is a NEW grilling session with a fresh 50-question budget — never a silent extension of the current one.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.