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Agent Skill · 研究检索

problem-framing-canvas(问题框架画布)

problem-framing-canvas 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

problem-framing-canvas 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 7,160。

总安装 19,776周安装 791GitHub Stars 3,877下载 6,208核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:problem-framing-canvas(问题框架画布)
来源仓库:https://github.com/deanpeters/product-manager-skills
仓库路径:skills/problem-framing-canvas
安装命令:
npx skills add https://github.com/deanpeters/product-manager-skills --skill problem-framing-canvas
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/deanpeters/product-manager-skills --skill problem-framing-canvas

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

结构化问题框架研讨会使用 MITRE 的三阶段画布在解决方案之前挑战假设。

指导团队通过向内看(检查偏见和假设)、向外看(了解谁遇到了问题以及谁被排除在外)和重构(综合为可操作的问题陈述和“我们如何”问题) 表面被忽视的利益相关者、边缘化的声音以及谁从现有问题中受益,确保公平驱动的框架 生成完善的问题陈述和可操作的 HMW 问题,为解决方案探索做好准备,避免确认偏差和解决方案优先的思维 最好用作跨职能研讨会练习,而不是单独的 PM 练习,以挑战群体思维并拓宽视角

来源仓库内路径:skills/problem-framing-canvas

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/deanpeters/product-manager-skills --skill prob…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

problem-framing-canvas 怎么安装?

在终端执行 npx skills add https://github.com/deanpeters/product-manager-skills --skill problem-framin…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

problem-framing-canvas 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

problem-framing-canvas 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

problem-framing-canvas 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

problem-framing-canvas 用的人多吗?

公开数据是累计安装 19,776 次,近一周安装 791 次,下载 6,208 次,GitHub 3,877 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

problem-framing-canvas 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 3,877 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
problem-framing-canvas

问题框架画布 · 本页

19,7763,877只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Purpose

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 an actionable problem statement and "How Might We" question). Use this to ensure you're solving the right problem before jumping to solutions—avoiding confirmation bias, overlooked stakeholders, and solution-first thinking.

This is not a solution brainstorm—it's a problem framing tool that broadens perspective, challenges assumptions, and produces a clear, equity-driven problem statement.

Key Concepts

What is the MITRE Problem Framing Canvas?

The Problem Framing Canvas (MITRE Innovation Toolkit, v3) is a structured framework that helps teams explore a problem space comprehensively before proposing solutions. It's partitioned into three areas:

  1. Look Inward — Examine your own assumptions, biases, and how you might be part of the problem
  2. Look Outward — Understand who experiences the problem, who benefits from it, and who's been left out
  3. Reframe — Synthesize insights into a clear, actionable problem statement and "How Might We" question

Canvas Structure

┌─────────────────────────────────────────────────────────────────┐
│ LOOK INWARD                                                     │
│ - What is the problem? (symptoms)                              │
│ - Why haven't we solved it? (new, hard, low priority, etc.)   │
│ - How are we part of the problem? (assumptions, biases)       │
└─────────────────────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────────────────────┐
│ LOOK OUTWARD                                                    │
│ - Who experiences the problem? When/where/consequences?        │
│ - Who else has it? Who doesn't have it?                       │
│ - Who's been left out?                                        │
│ - Who benefits when problem exists/doesn't exist?             │
└─────────────────────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────────────────────┐
│ REFRAME                                                         │
│ - Stated another way, the problem is: [restatement]           │
│ - How might we [action] as we aim to [objective]?             │
└─────────────────────────────────────────────────────────────────┘

Why This Works

  • Broadens perspective: Forces you to look beyond your own assumptions
  • Equity-driven: Centers marginalized voices and asks "who's been left out?"
  • Challenges biases: Requires explicit examination of assumptions before framing problem
  • Actionable output: Produces HMW statement ready for solution exploration

Anti-Patterns (What This Is NOT)

  • Not a solution brainstorm: Canvas frames the problem; solutions come later
  • Not a feature request list: Focuses on underlying problems, not surface symptoms
  • Not a one-person exercise: Requires diverse perspectives to challenge groupthink

When to Use This

  • Starting discovery for a new initiative
  • Reframing an existing problem (suspect you're solving the wrong thing)
  • Challenging assumptions before building solutions
  • Aligning cross-functional teams on problem definition

When NOT to Use This

  • When the problem is already well-understood and validated
  • For tactical bug fixes or technical debt (no deep framing needed)
  • When stakeholders have already committed to a solution (address alignment first)

Facilitation Source of Truth

Use workshop-facilitation as the default interaction protocol for this skill.

It defines:

  • session heads-up + entry mode (Guided, Context dump, Best guess)
  • one-question turns with plain-language prompts
  • progress labels (for example, Context Qx/8 and Scoring Qx/5)
  • interruption handling and pause/resume behavior
  • numbered recommendations at decision points
  • quick-select numbered response options for regular questions (include Other (specify) when useful)

This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.

Application

Use template.md for the full fill-in structure.

This interactive skill follows a three-phase process, asking adaptive questions in each phase.


Step 0: Gather Context (Before Questions)

Agent suggests:

Before we frame your problem, let's gather context:

Problem Context:

  • Initial problem statement or stakeholder request
  • Symptoms you've observed (support tickets, churn data, user complaints)
  • Existing research (user interviews, surveys, analytics)
  • Assumptions you're making about the problem

Stakeholder Context:

  • Who's affected by this problem? (users, customers, internal teams)
  • Who's asking for this to be solved? (execs, sales, customers)
  • Who might have been overlooked?

You can paste this content directly, or describe the problem briefly.


Phase 1: Look Inward

Goal: Examine your own assumptions, biases, and how you might be part of the problem.


Question 1: What is the problem? (Describe symptoms)

Agent asks: "What is the problem as you currently understand it? Describe the symptoms."

Offer 4 enumerated options:

  1. Customer pain point — "Customers struggle with [specific task/outcome]" (e.g., "Customers can't find features they need")
  2. Business metric problem — "We're seeing [metric decline]" (e.g., "Churn increased 15% last quarter")
  3. Stakeholder request — "Stakeholders say we need [feature/change]" (e.g., "Sales team says we need better reporting")
  4. Observed behavior — "We've noticed [pattern/trend]" (e.g., "Users abandon onboarding at step 3")

Or describe your problem/symptoms.

User response: [Selection or custom]

Agent extracts:

  • Problem (initial framing): [Description from user]

Question 2: Why haven't we solved it?

Agent asks: "Why hasn't this problem been solved yet?"

Offer 6 enumerated options (can select multiple):

  1. It's new — "Problem recently emerged"
  2. It's hard — "Technically complex or resource-intensive"
  3. It's low priority — "Other initiatives took precedence"
  4. Lack of resources — "Not enough budget, people, or time"
  5. Lack of authority — "Can't make the decision or get buy-in"
  6. A systemic inequity — "Problem disproportionately affects marginalized groups, overlooked"

Or describe your own reason.

User response: [Selection or custom]

Agent captures:

  • Barriers to solving: [List of reasons]

Question 3: How are we part of the problem? (Assumptions & biases)

Agent asks: "How might you (or your team) be part of the problem? What assumptions or biases are you bringing?"

Offer 4 enumerated options:

  1. Assuming we know what customers want — "We haven't validated with real users" (Confirmation bias)
  2. Optimizing for ourselves, not users — "Building what's easy for us, not what's valuable for them" (Internal bias)
  3. Overlooking specific user segments — "Focused on majority users, ignored edge cases or marginalized groups" (Survivorship bias)
  4. Solution-first thinking — "Jumped to 'we need [feature X]' before understanding root problem" (Premature convergence)

Or describe your specific assumptions/biases.

User response: [Selection or custom]

Agent captures:

  • Assumptions to challenge: [List of biases]

Phase 2: Look Outward

Goal: Understand who experiences the problem, who benefits from it, and who's been left out.


Question 4: Who experiences the problem? (When, where, consequences)

Agent asks: "Who experiences this problem? When and where do they experience it? What consequences do they face?"

Agent prompts user to describe:

  • Who: Specific personas, user segments, or roles
  • When: Triggering events or contexts (e.g., "during onboarding," "at month-end close")
  • Where: Physical or digital locations (e.g., "mobile app," "enterprise deployments")
  • Consequences: Impact on users (e.g., "waste 2 hours/week," "miss deadlines," "churn")

Adaptation: Use personas from context (proto-personas, JTBD, customer research)

User response: [Detailed description]

Agent captures:

  • Who experiences it: [Personas/segments]
  • When/where: [Context]
  • Consequences: [Impact]

Question 5: Who else has this problem? Who doesn't have it?

Agent asks: "Who else has this problem? (Colleagues, competitors, other domains?) And who doesn't have it?"

Agent prompts:

  • Who else has it: Other companies, industries, or domains with similar problems
  • How do they deal with it: Workarounds, solutions, or adaptations
  • Who doesn't have it: Users/companies that avoid the problem (what's different about them?)

User response: [Detailed description]

Agent captures:

  • Who else has it: [Examples]
  • Who doesn't have it: [Counter-examples]

Question 6: Who's been left out? Who benefits?

Agent asks: "Who's been left out of the conversation so far? And who benefits when this problem exists or doesn't exist?"

Agent prompts:

  • Who's been left out: Marginalized voices, edge cases, overlooked stakeholders
  • Who benefits when problem exists: Who gains from the status quo?
  • Who benefits when problem doesn't exist: Who loses if problem is solved?

Example:

  • "Who benefits when onboarding is broken?" → "Sales team doesn't have to support complex workflows; engineering doesn't have to build guided flows"
  • "Who's been left out?" → "Non-technical users, international customers (onboarding in English only)"

User response: [Detailed description]

Agent captures:

  • Who's been left out: [List]
  • Who benefits (problem exists): [List]
  • Who benefits (problem solved): [List]

Phase 3: Reframe

Goal: Synthesize insights into a clear, actionable problem statement and "How Might We" question.


Question 7: Restate the problem

Agent says: "Based on everything we've explored, let's restate the problem in a new way."

Agent generates a refined problem statement using insights from Phases 1-2:

Template: "The problem is: [Who] struggles to [accomplish what] because [root cause], which leads to [consequence]. This affects [specific segments] and has been overlooked because [bias/assumption from Phase 1]."

Example (SaaS onboarding): "The problem is: Non-technical small business owners struggle to activate our product during onboarding because we use jargon-heavy UI and lack guided workflows, which leads to 60% abandonment within 24 hours. This disproportionately affects solopreneurs without technical support, and has been overlooked because our team optimizes for enterprise users who have IT departments."

Agent asks: "Does this restatement capture the core problem? Should we refine it?"

User response: [Approve or modify]


Question 8: Create "How Might We" statement

Agent says: "Now let's make it actionable with a 'How Might We' statement."

Template: "How might we [action that addresses the problem] as we aim to [objective/desired condition]?"

Example (SaaS onboarding): "How might we guide non-technical users through onboarding with plain-language prompts as we aim to increase activation from 40% to 70%?"

Agent asks: "Does this HMW statement set up the right solution space? Should we adjust?"

User response: [Approve or modify]


Output: Problem Framing Canvas + HMW Statement

After completing the flow, the agent outputs:

# Problem Framing Canvas: [Problem Name]

**Date:** [Today's date]

---

## Phase 1: Look Inward

### What is the problem? (Symptoms)
[Description from Q1]

### Why haven't we solved it?
- [Barrier 1 from Q2]
- [Barrier 2]
- [Barrier 3]

### How are we part of the problem? (Assumptions & biases)
- [Assumption 1 from Q3]
- [Assumption 2]
- [Assumption 3]

**Which of these might be redesigned, reframed, or removed?**
[Reflection on biases to challenge]

---

## Phase 2: Look Outward

### Who experiences the problem?
**Who:** [Personas/segments from Q4]
**When/Where:** [Context]
**Consequences:** [Impact on users]
**Lived experience varies:** [How different users experience it differently]

### Who else has this problem?
**Who else:** [Examples from Q5]
**How they deal with it:** [Workarounds]

### Who doesn't have it?
[Counter-examples from Q5]

### Who's been left out?
[Marginalized voices from Q6]

### Who benefits?
**When problem exists:** [Beneficiaries of status quo]
**When problem doesn't exist:** [Who loses if solved]

---

## Phase 3: Reframe

### Stated another way, the problem is:
[Refined problem statement from Q7]

### How Might We...
**How might we** [action from Q8] **as we aim to** [objective from Q8]?

---

## Next Steps

1. **Validate with users:** Use `skills/discovery-interview-prep/SKILL.md` to test reframed problem with customers
2. **Generate solutions:** Use `skills/opportunity-solution-tree/SKILL.md` to explore solution space
3. **Create problem statement:** Use `skills/problem-statement/SKILL.md` to formalize for PRD/roadmap
4. **Identify opportunities:** Use HMW statement to brainstorm solution ideas

---

**Ready to explore solutions? Let me know if you'd like to refine the problem framing or move to solution generation.**

Examples

See examples/sample.md for full problem framing examples.

Mini example excerpt:

**Look Inward:** Churn spiked after onboarding change
**Look Outward:** New SMB users are most affected
**Reframe:** How might we reduce onboarding friction for first-time users?

Common Pitfalls

Pitfall 1: Skipping "Look Inward" (Assuming You're Neutral)

Symptom: Team jumps straight to "Look Outward" without examining biases

Consequence: Groupthink persists, assumptions unchallenged

Fix: Force explicit discussion of assumptions and biases (Q2-Q3)


Pitfall 2: Ignoring "Who Benefits" Question

Symptom: Canvas completed without exploring who benefits from problem existing

Consequence: Miss political dynamics, resistance to change

Fix: Always ask "Who loses if this problem is solved?" (Q6)


Pitfall 3: Generic Problem Statement

Symptom: Reframed problem is vague ("Improve user experience")

Consequence: HMW statement isn't actionable

Fix: Make problem specific (who, what, when, consequence, root cause)


Pitfall 4: HMW Statement Is Too Narrow

Symptom: "How might we add a mobile app?"

Consequence: Constrains solution space to one idea

Fix: Keep HMW broad: "How might we enable mobile-first users to access core workflows on any device?"


Pitfall 5: Solo Exercise (No Diverse Perspectives)

Symptom: PM fills out canvas alone

Consequence: Biases persist, marginalized voices still left out

Fix: Facilitate canvas workshop with cross-functional team + customer input


References

Related Skills

  • skills/problem-statement/SKILL.md — Converts reframed problem into formal problem statement
  • skills/opportunity-solution-tree/SKILL.md — Uses HMW statement to generate solution options
  • skills/discovery-interview-prep/SKILL.md — Validates reframed problem with customers

External Frameworks

  • MITRE Innovation Toolkit, "Problem Framing Canvas v3" (2021) — Origin of canvas, equity-driven design thinking
  • Stanford d.school, "How Might We" statements — Actionable problem framing

Dean's Work

  • [If Dean has problem framing resources, link here]

Skill type: Interactive Suggested filename: problem-framing-canvas.md Suggested placement: /skills/interactive/ Dependencies: Uses skills/problem-statement/SKILL.md

平台分布

Codex

33.59%
按下载量换算2,085

Claude

32.77%
按下载量换算2,034

Cursor

20.9%
按下载量换算1,297

Gemini CLI

9.37%
按下载量换算582

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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