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Agent skill

Problem Framing

by getcrew44 in getcrew44/crew44

A skill your agent uses when the user describes a goal but the underlying problem is unclear, or when a request feels like a premature solution.

MITAuto-check passedFrontend & Design

Install Problem Framing

skills CLI
$ npx skills add getcrew44/crew44 --skill problem-framing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install getcrew44/crew44 problem-framing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/getcrew44/crew44.git skills-src && mkdir -p .claude/skills && cp -r skills-src/daemon/internal/presets/defaultcrew/skills/partner/problem-framing .claude/skills/problem-framing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
problem-framing
GitHub stars
356
Token cost
~250 tokens
SKILL.md length
135 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user describes a goal but the underlying problem is unclear, or when a request feels like a premature solution.

  • Works in 5 steps: Restate the request in plain language.… → Ask: who is the user, what are they… → Identify hidden assumptions in the… → …
  • The user describes a goal but the underlying problem is unclear
  • SKILL.md covers When to use, Steps and Anti-patterns
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Problem Framing is an agent skill from getcrew44/crew44. Use when the user describes a goal but the underlying problem is unclear, or when a request feels like a premature solution.

Its SKILL.md is about 250 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Frontend & Design. The repository describes itself as: 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. The licence is MIT.

When your agent uses it

  • The user describes a goal but the underlying problem is unclear
  • A request feels like a premature solution

Example prompts

  • “/problem-framing”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit cfcf1e7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Problem Framing loads about 250 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 135 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~250

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from getcrew44/crew44 at commit cfcf1e7, republished under its MIT licence (© getcrew44). 135 words, ~250 tokens.

Download SKILL.mdSave it as .claude/skills/problem-framing/SKILL.md (or your agent's skills folder).
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.

© getcrew44, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in daemon/internal/presets/defaultcrew/skills/partner/problem-framing of getcrew44/crew44.

Open the folder on GitHubat commit cfcf1e7

Compare with similar skills

Problem Framing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Problem Framing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Problem Framing this skillgetcrew44/crew44356—~250Automated safety check: PassMIT
Web Artifacts Builderanthropics/skills180k40 repos~769Automated safety check: PassApache-2.0
React Doctormakeplane/plane60k12 repos~657Automated safety check: PassAGPL-3.0
React Composition Patternsvercel-labs/openreview1.7k58 repos~721Automated safety check: PassMIT
Impeccablebestofjs/bestofjs3.1k27 repos~2.6kAutomated safety check: PassMIT
Figma Design System Builderwarpdotdev/warp65k2 repos~4.4kAutomated safety check: PassAGPL-3.0

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Categories

Questions about Problem Framing

What does Problem Framing do?

A skill your agent uses when the user describes a goal but the underlying problem is unclear, or when a request feels like a premature solution. Problem Framing is an agent skill from getcrew44/crew44. Use when the user describes a goal but the underlying problem is unclear, or when a request feels like a premature solution.

When should I use Problem Framing?

Problem Framing fits situations like: the user describes a goal but the underlying problem is unclear; A request feels like a premature solution.

How do I install Problem Framing in Claude Code?

Run `npx skills add getcrew44/crew44 --skill problem-framing -a claude-code`. Or copy the skill folder (daemon/internal/presets/defaultcrew/skills/partner/problem-framing in getcrew44/crew44) into .claude/skills/problem-framing in your project. Claude Code loads it when a task matches its description.

How do I install Problem Framing in Codex?

Run `npx skills add getcrew44/crew44 --skill problem-framing -a codex`. Or copy the skill folder (daemon/internal/presets/defaultcrew/skills/partner/problem-framing in getcrew44/crew44) into .agents/skills/problem-framing in your project. Codex loads it when a task matches its description.

Can I use Problem Framing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add getcrew44/crew44 --skill problem-framing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/problem-framing, .gemini/skills/problem-framing, .github/skills/problem-framing and .opencode/skills/problem-framing in your project.

What does Problem Framing need to run?

SKILL.md names no scripts, command-line tools or credentials: Problem Framing is instructions for the agent only.

Does Problem Framing access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Problem Framing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Problem Framing use?

Problem Framing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Problem Framing use?

About 250 tokens (SKILL.md is roughly 1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Problem Framing?

Skills that share tags, products or a category with Problem Framing: Web Artifacts Builder (anthropics/skills, 180k stars), React Doctor (makeplane/plane, 60k stars), React Composition Patterns (vercel-labs/openreview, 1.7k stars) and Impeccable (bestofjs/bestofjs, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Problem Framing?

getcrew44 (a GitHub organization) maintains it in getcrew44/crew44, which has 356 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on June 11, 2026.

Source: getcrew44/crew44 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.