Agent skill

MITRE Problem Framing Canvas

by deanpeters in deanpeters/Product-Manager-Skills

Guides a three-phase canvas, looking inward, looking outward, then reframing, to produce an equity-aware problem statement.

Custom licenceAuto-check passedProduct & Project Management

Install MITRE Problem Framing Canvas

skills CLI
$ npx skills add deanpeters/Product-Manager-Skills --skill problem-framing-canvas -a claude-code

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

GitHub CLI
$ gh skill install deanpeters/Product-Manager-Skills problem-framing-canvas --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/deanpeters/Product-Manager-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/problem-framing-canvas .claude/skills/problem-framing-canvas && 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-canvas
GitHub stars
7.2k
Used in
1 other repo
Token cost
~4.5k tokens
SKILL.md length
1,750 words
Files
3
Skills in repo
75
Repo updated
First seen
Licence
Custom licence

At a glance

Guides a three-phase canvas, looking inward, looking outward, then reframing, to produce an equity-aware problem statement.

  • Jumping to a solution before the problem is actually understood
  • SKILL.md covers Purpose, Input, Key Concepts and Application, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Checking a problem statement for confirmation bias or missing voices

What it does

Three partitions structure the canvas: looking inward at your own assumptions and biases, looking outward at who actually experiences the problem and who has been left out of that view, and reframing those findings into a clear problem statement plus a How Might We question. Naming the solution everyone is already anchored on up front counts as useful information here, since stating it helps the canvas de-bias around it rather than pretending no one has an opinion yet.

When your agent uses it

  • Jumping to a solution before the problem is actually understood
  • Checking a problem statement for confirmation bias or missing voices
  • Reframing a vague complaint into a workable How Might We question

Example prompts

  • “Frame this problem: field reps don't use the CRM and leadership wants gamification.”
  • “Who are we missing in our current framing of this onboarding issue?”
  • “Run the Look Inward phase on our assumptions about churn.”

What it can do on your machine

Read from SKILL.md and the folder at commit 1b5a524. 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 (its code samples are markdown).

    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

MITRE Problem Framing Canvas loads about 4.5k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 1,750 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~4.5k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,750 words (~4,489 tokens).

“Guide product managers through the MITRE Problem Framing Canvas process by asking structured questions across three phases: Look Inward (examine your own assumptions and biases), Look Outward (understand who experiences the problem and who doesn't), and Reframe (synthesize insights into…”

— opening of SKILL.md by deanpeters, Custom licence
name
problem-framing-canvas
argument-hint
[problem area]
intent
Guide product managers through the MITRE Problem Framing Canvas process by asking structured questions across three phases: Look Inward (examine your own…
type
interactive
best_for
Clarifying a messy problem before solutioning, Surfacing assumptions and overlooked stakeholders, Creating a bias-resistant problem statement in a workshop
scenarios
Run a Problem Framing Canvas for our mobile retention issue, Help me reframe this stakeholder request before we build anything, We need a clearer problem…
theme
discovery-research
estimated_time
30-45 min

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in skills/problem-framing-canvas of deanpeters/Product-Manager-Skills.

  • SKILL.md
  • examples/sample.md
  • template.md

Open the folder on GitHubat commit 1b5a524

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in deanpeters/Product-Manager-Skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

MITRE Problem Framing Canvas 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.

MITRE Problem Framing Canvas compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
MITRE Problem Framing Canvas this skilldeanpeters/Product-Manager-Skills7.2k1 repos~4.5kAutomated safety check: PassCustom licence
User Research Cookiycookiy-ai/user-research-skill1.6k—~954Automated safety check: PassMIT
Fable DomainSahir619/fable-method2.3k—~2.6kAutomated safety check: PassMIT
Produck Feedback To Buildtryproduck/produck-skills510—~1kAutomated safety check: PassApache-2.0
Customer InterviewsRefoundAI/lenny-skills1.4k—~1.7kAutomated safety check: PassMIT
Product Discovery Brief Builderopen-mercato/skills231—~3kAutomated safety check: PassMIT

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Questions about MITRE Problem Framing Canvas

What does MITRE Problem Framing Canvas do?

Guides a three-phase canvas, looking inward, looking outward, then reframing, to produce an equity-aware problem statement. Three partitions structure the canvas: looking inward at your own assumptions and biases, looking outward at who actually experiences the problem and who has been left out of that view, and reframing those findings into a clear problem statement plus a How Might We question. Naming the solution everyone is already anchored on up front counts as useful information here, since stating it helps the canvas de-bias around it rather than pretending no one has an opinion yet.

When should I use MITRE Problem Framing Canvas?

MITRE Problem Framing Canvas fits situations like: jumping to a solution before the problem is actually understood; checking a problem statement for confirmation bias or missing voices; reframing a vague complaint into a workable How Might We question.

How do I install MITRE Problem Framing Canvas in Claude Code?

Run `npx skills add deanpeters/Product-Manager-Skills --skill problem-framing-canvas -a claude-code`. Or copy the skill folder (skills/problem-framing-canvas in deanpeters/Product-Manager-Skills) into .claude/skills/problem-framing-canvas in your project. Claude Code loads it when a task matches its description.

How do I install MITRE Problem Framing Canvas in Codex?

Run `npx skills add deanpeters/Product-Manager-Skills --skill problem-framing-canvas -a codex`. Or copy the skill folder (skills/problem-framing-canvas in deanpeters/Product-Manager-Skills) into .agents/skills/problem-framing-canvas in your project. Codex loads it when a task matches its description.

Can I use MITRE Problem Framing Canvas 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 deanpeters/Product-Manager-Skills --skill problem-framing-canvas -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-canvas, .gemini/skills/problem-framing-canvas, .github/skills/problem-framing-canvas and .opencode/skills/problem-framing-canvas in your project.

What does MITRE Problem Framing Canvas need to run?

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

Does MITRE Problem Framing Canvas 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 MITRE Problem Framing Canvas 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 MITRE Problem Framing Canvas use?

MITRE Problem Framing Canvas has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does MITRE Problem Framing Canvas use?

About 4.5k tokens (SKILL.md is roughly 18k 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 MITRE Problem Framing Canvas?

Skills that share tags, products or a category with MITRE Problem Framing Canvas: User Research Cookiy (cookiy-ai/user-research-skill, 1.6k stars), Fable Domain (Sahir619/fable-method, 2.3k stars), Produck Feedback To Build (tryproduck/produck-skills, 510 stars) and Customer Interviews (RefoundAI/lenny-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains MITRE Problem Framing Canvas?

deanpeters (a GitHub user) maintains it in deanpeters/Product-Manager-Skills, which has 7,209 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 1, 2026.

Source: deanpeters/Product-Manager-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.