agentleFS
helderbertohelderberto/agent-skills/skills/grill/SKILL.md

grill

Skill19 starsChanged 32 days agoMITView on GitHub

Interview in rounds until a plan or idea has no open decisions.

87 other projects use a version of this, 9 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use write-skill, root-cause and 8 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.
  • NoaiRoxSkill

    write-skill

    Use when creating a new skill, editing an existing skill, or verifying a skill works before deployment.

    Also in 5 projects that use this

  • Ingramradical235Skill

    root-cause

    Structured root cause analysis using WHERE (MECE decomposition) then WHY (causal structure diagrams) pipeline. Includes coin-flip detection, logical-leap detection, and vicious cycle intervention. Use when buffer enters YELLOW/RED, when metrics stall, or when Actions execute but don't produce results.

    Also in 4 projects that use this

  • Neko-Catpital-LabsSkill

    prove-it

    Shared evidence rule for investigating, diagnosing, debugging, proving, or explaining what happened or why for any problem or situation: do not assert something is fixed, working, passing, merged, or running unless you personally observed it this turn and can show what you saw; do not assert it was caused by X until a repro and controlled isolation prove that cause.

    Also in 4 projects that use this

  • sahinSkill

    execute

    Also in 5 projects that use this

  • assisjpSkill

    file-pr

    Prepare and open or update an authorized pull request with a concise problem-first description and verifiable evidence. Use when the user asks to create, file, open, or update a PR. Do not use merely to review a diff or when publication is not authorized.

    Also in 3 projects that use this

  • Arman-KudaibergenovSkill

    write-plan

    Этот скилл MUST быть вызван когда есть design.md и нужно разбить доработку на атомарные задачи (2-5 мин) с точными путями файлов и критериями проверки в tasks.md. SHOULD также вызывать как промежуточный шаг между brainstorm и subagent-dev. Do NOT использовать для обсуждения идеи — используй brainstorm; для выполнения задач — используй subagent-dev.

    Also in 3 projects that use this

The file

Files
SKILL.md

Grill

Topic: $ARGUMENTS, an idea or a slug naming earlier work; empty → the plan in the conversation.

Interview the user relentlessly until you reach a shared understanding. Map the plan as a design tree: every decision branches into the decisions that hang off it.

Work the tree in rounds. The frontier is every decision whose prerequisites are already settled — the questions you can ask now without guessing at answers you haven't heard yet. Ask the whole frontier in one round: number each question and give your recommended answer, worded so a bare "yes" accepts it. Then wait for the user's answers before the next round.

Format a round like so:

❓ **Q1 — <question title>**: <question body, may be multiple paragraphs, including multiple choices>

➡️ <your recommended answer>

---

❓ **Q2 — <question title>**: <question body>

➡️ <your recommended answer>

Each answered round reshapes the tree: settled decisions push the frontier outward and unblock the questions that depended on them. Recompute the frontier and ask the next round. A question whose answer depends on another question still open in this round belongs to a later round, not this one.

Facts are your job; decisions are the user's. If a frontier question can be answered from the codebase or environment, dispatch a subagent to find it — never ask the user for anything you could look up yourself. Don't block the round on a running lookup: only the questions downstream of it wait; ask the rest of the frontier now.

Write as you go. A domain term settles → call the Skill tool with domain-modeling to write it into the glossary. A decision settles that is hard to reverse, surprising without context, and a real trade-off → call the Skill tool with to-adr to record it. Do both inline, the moment it settles, not in a batch at the end.

Done when the frontier is empty: every branch visited, nothing left silently assumed. Do not act until the user explicitly confirms the shared understanding — "whatever you think is best" or "you decide" is delegation, not confirmation; put the specific decision back to them.

Next: /hb:to-spec <slug>, with <slug> derived from the idea.

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.