agentleFS
hamburger-oshamburger-os/PraxFlow/skills/grill/SKILL.md

grill

Skill1 starsChanged 2 months agoMITView on GitHub

Converge an under-specified technical goal or design by investigating first, separating facts from choices, recommending before asking, and escalating only the consequential decisions the user must make. Use before implementation when requirements, tradeoffs, constraints, or acceptance criteria are not sufficiently determined.

87 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

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

We split this skill into the rules it gives an agent

9 rules. 0 are common, 9 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 69 edited versions we read keep these.

  • 9

    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:

    Use the available project, code, docs, tests, references, and environment to answer factual questions yourself.

    line 32
  2. Distinctive:

    Do not ask questions like:

    line 34
  3. Distinctive:

    Only the last categories normally belong to the user.

    line 54
  4. Distinctive:

    Before asking, establish relevant constraints and eliminate options that are inconsistent, unsupported, or unnecessarily costly.

    line 58
  5. Distinctive:

    Do not ask “How should this work?” when the evidence already narrows the choice to two meaningful alternatives.

    line 60
  6. Distinctive:

    Use a small number of high-value questions per turn.

    line 72
  7. Distinctive:

    When a decision becomes stable, record it in the active task artifact if it affects implementation or verification.

    line 84
  8. Distinctive:

    Do not preserve the entire conversation.

    line 86
  9. Distinctive:

    Stop grilling when enough information exists to take the next bounded engineering step safely.

    line 90

“Common” is measured: kept by at least 6 in 10 of the 69 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

Grill

Help the user make the decisions that actually require human judgment. Do not turn uncertainty into an interview questionnaire.

Core behavior

flowchart LR
    I[Investigate] --> R[Resolve what evidence can resolve]
    R --> C[Identify real choices]
    C --> M[Recommend]
    M --> Q{Human decision necessary?}
    Q -->|No| N[Continue with bounded next step]
    Q -->|Yes| A[Ask one high-value question]
    A --> V[Converge decision]
    V --> N

Method

1. Investigate before questioning

Use the available project, code, docs, tests, references, and environment to answer factual questions yourself.

Do not ask questions like:

  • which file contains the current implementation;
  • what the existing API returns;
  • which thread creates a resource;
  • whether a guard already exists;

when these can be inspected directly.

2. Separate facts, unknowns, and decisions

For each unresolved point, determine whether it is:

  • an investigable fact;
  • an external fact requiring a source;
  • a temporary assumption;
  • an engineering tradeoff;
  • a business/product/policy choice;
  • a high-impact boundary decision.

Only the last categories normally belong to the user.

3. Reduce the decision space

Before asking, establish relevant constraints and eliminate options that are inconsistent, unsupported, or unnecessarily costly.

Do not ask “How should this work?” when the evidence already narrows the choice to two meaningful alternatives.

4. Recommend before asking

For a real tradeoff, present:

  • the decision;
  • the important evidence/constraints;
  • the plausible options;
  • your recommendation;
  • the consequence of choosing differently.

Use a small number of high-value questions per turn. Prefer one decisive question over a list of ten speculative questions.

5. Match human involvement to consequence

Low-risk, reversible choices can usually use a reasonable default.

Engineering tradeoffs that materially affect behavior or future constraints should be confirmed.

Irreversible, security-sensitive, compatibility-breaking, data-destructive, production-risk, or hardware-risk decisions must be explicit before execution.

6. Converge into stable task state

When a decision becomes stable, record it in the active task artifact if it affects implementation or verification.

Do not preserve the entire conversation. Preserve the decision and the relevant constraint/reason.

Stop condition

Stop grilling when enough information exists to take the next bounded engineering step safely.

The objective is not complete certainty. It is enough resolved uncertainty to avoid building the wrong thing.

Failure modes

Avoid:

  • asking the user to investigate facts for you;
  • presenting many options without a recommendation;
  • asking confirmation after every minor step;
  • continuing to ask questions after a safe default is available;
  • silently choosing a consequential tradeoff;
  • treating user speculation as observed fact.

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.