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Agent Skill

Problem Framing Canvas skill

problem-framing-canvasdeanpeters/Product-Manager-Skillsskills/problem-framing-canvas/SKILL.md

Guide teams through MITRE's Problem Framing Canvas. Use when you need a clearer problem statement before jumping to solutions.

7.6k

always on

30 tokname + description

once used

3,766 tokSKILL.md body

bundled files

23 KB

repo stars

7.6kGitHub

Install the Problem Framing Canvas skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill problem-framing-canvas

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/Product-Manager-Skills
mkdir -p ~/.claude/skills
cp -R /tmp/Product-Manager-Skills/skills/problem-framing-canvas ~/.claude/skills/problem-framing-canvas

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description30 tok
When the agent uses itThe SKILL.md instructions3,766 tok
Only if opened2 bundled files (3 KB)varies

Until it is used, problem-framing-canvas costs about 45× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 77 skills from deanpeters/Product-Manager-Skills would load 2,883 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Purpose
  • Input
  • Key Concepts
  • What is the MITRE Problem Framing Canvas?
  • Canvas Structure
  • Why This Works
  • Anti-Patterns (What This Is NOT)
  • When to Use This
  • When NOT to Use This
  • Facilitation Source of Truth
  • Application
  • Step 0: Gather Context (Before Questions)
  • Phase 1: Look Inward
  • Question 1: What is the problem? (Describe symptoms)
  • Question 2: Why haven't we solved it?
  • Question 3: How are we part of the problem? (Assumptions & biases)
  • Phase 2: Look Outward
  • Question 4: Who experiences the problem? (When, where, consequences)
  • Question 5: Who else has this problem? Who doesn't have it?
  • Question 6: Who's been left out? Who benefits?
  • Phase 3: Reframe
  • Question 7: Restate the problem
  • Question 8: Create "How Might We" statement
  • Output: Problem Framing Canvas + HMW Statement

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