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Skill

/problem-framing

Use when the user describes a goal but the underlying problem is unclear, or when a request feels like a premature solution.

From plugin
crew44
35862 skills4 agents
Install
$ npx -y skills add getcrew44/crew44 --skill problem-framing --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/problem-framing

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when the user describes a goal but the underlying problem is unclear, or when a request feels like a premature solution.

SKILL.md

problem-framing.SKILL.md
name: problem-framing
description: Use when the user describes a goal but the underlying problem is unclear, or when a request feels like a premature solution.

Problem Framing

Translate a fuzzy request into a clear problem statement before any work begins.

When to use

  • The user describes what they want but not why.
  • The request jumps to a specific solution.
  • Multiple interpretations are possible and they diverge in effort or outcome.

Steps

1. Restate the request in plain language. Confirm with the user. 2. Ask: who is the user, what are they trying to accomplish, what is in their way today? 3. Identify hidden assumptions in the request and name them. 4. Offer 2-3 framings of the problem if more than one fits. Let the user pick. 5. State the chosen framing back as a single sentence the user can confirm.

Anti-patterns

  • Restating jargon back without unpacking it.
  • Asking five clarifying questions at once.
  • Skipping confirmation and proceeding on a guess.
Ships withcrew44

Orchestrate a crew of specialist AI agents in one local-first workspace. Each role on its best model, with memory and skills that compound. Free, MIT.

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