alirezarezvani/claude-skills

grill-me

Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree.

Voir la source

Mode d’emploi

  1. Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
  2. Consultez le document original pour les outils, identifiants et environnements requis.
  3. Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/alirezarezvani/claude-skills --skill grill-me

Avant de commencer

  • L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
  • Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original

Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.

Grill Me

Derived from Matt Pocock's grill-me (MIT). Matt's interview discipline preserved verbatim. Additions: extraction + question + session tools + references + cs-* wrapper (see references/companion_tooling.md).

Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.

Ask the questions one at a time.

If a question can be answered by exploring the codebase, explore the codebase instead.

Rules (preserved + amplified)

  1. One question per turn. Never bundle.
  2. Provide a recommended answer with each question. Defaulting to "what do you think?" is lazy.
  3. Explore the codebase before asking. If grep / Read resolves it, do that first. Saves a turn.
  4. Walk the tree depth-first. Finish a branch before opening another.
  5. Track dependencies. If decision B depends on decision A, ask A first.

Workflow

  1. User provides a plan or design (or path to one).
  2. Run scripts/decision_tree_extractor.py to extract branches.
  3. Run scripts/question_generator.py to produce the question list with recommendations.
  4. Start a session: scripts/grill_session_tracker.py --action start.
  5. Walk the tree, one question at a time, recording answers in the session.
  6. When all branches resolved: report "shared understanding reached" + the locked-in decisions.

Output Pattern

Per question turn:

Q[i]/[total]: [question]
Recommended answer: [your call + 1-sentence rationale]

(Or: I explored the codebase and found [evidence]. Confirm?)

Tooling

See references/companion_tooling.md. Tools: extractor + generator + tracker. Agent: cs-grill-master. Command: /cs:grill-me.


Version: 1.0.0 Derived: Matt Pocock (MIT) + this repo's wrapper

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