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opportunity-solution-trees机会解决方案树

Agent Skill

opportunity-solution-trees 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。

总安装

470

周安装

20

GitHub Stars

8

下载量

165
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:opportunity-solution-trees(机会解决方案树)
来源仓库:https://github.com/wdavidturner/product-skills
仓库路径:skills/opportunity-solution-trees
安装命令:
npx skills add https://github.com/wdavidturner/product-skills --skill opportunity-solution-trees
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/wdavidturner/product-skills --skill opportunity-solution-trees

简介

该技能用于查找和筛选机会解决方案相关的信息和案例。

  • 适用于问题解决、创新设计和方案优化场景。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 通过关键词搜索获取解决方案框架和方法论。
  • 建议结合具体问题背景选择合适的解决方案。
  • opportunity-solution-trees 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Opportunity Solution Trees

What It Is

Use the Opportunity Solution Tree (OST) to connect a business outcome to the customer opportunities that drive it, then compare solutions and tests. The tree forces you to separate needs from ideas and keeps discovery tied to delivery.

When to Use It

  • Structure discovery around customer opportunities
  • Tie customer needs to measurable outcomes
  • Compare multiple solutions for the same opportunity
  • Keep continuous discovery aligned with the roadmap
  • Create a shared view of priorities with stakeholders

When Not to Use It

  • You are not doing customer research
  • The solution is already decided
  • The work is a commodity requirement with no real options
  • You only need a quick one-off decision

Patterns

Detailed examples showing how to apply OST correctly. Each pattern shows a common mistake and the correct approach.

Critical (get these wrong and you've wasted your time)

PatternWhat It Teaches
opportunities-are-solutions"Add a search bar" is a solution -- the opportunity is what's hard about finding things
starting-with-solutionsWork backward from outcomes, not forward from feature ideas
skipping-outcomeWithout a clear outcome, you can't evaluate which opportunities matter most
interviewing-for-factsCollect stories, not preferences -- needs emerge from what happened
conference-room-opportunitiesYou can't hypothesize opportunities without customer research

High Impact

PatternWhat It Teaches
single-solution-thinkingAlways compare at least 3 solutions for any opportunity
opportunities-too-big"Make it easier to use" is not actionable -- decompose into specific moments
flat-tree-structureOpportunities should nest hierarchically from broad to specific
missing-experience-mapStructure opportunities around the customer journey, not internal categories
output-not-outcome"Launch feature X" is an output -- "Increase activation by 10%" is an outcome
solution-testing-whole-ideaBreak solutions into assumptions and test the riskiest ones first

Medium Impact

PatternWhat It Teaches
tree-not-updatedThe OST is a living document -- update it weekly as you learn
needs-not-heardTrain your ear to hear opportunities customers don't explicitly state
too-many-branchesLimit top-level opportunities to 5-7 for cognitive manageability

Core Structure (Overview)

  • Outcome: the business result you are responsible for achieving
  • Opportunities: unmet customer needs, pains, or desires
  • Solutions: multiple ideas that address one opportunity
  • Experiments: tests that validate the riskiest assumptions

How to Apply It (Brief)

  1. Define a measurable outcome.
  2. Map the customer journey to frame opportunity areas.
  3. Capture opportunities from real interviews (stories, not preferences).
  4. Organize opportunities into a tree from broad to specific.
  5. Generate at least three solutions per high-priority opportunity.
  6. Test the riskiest assumptions before building.
  7. Review and update the tree weekly.

Common Mistakes

Deep Dives

Read these only when you need the extra detail.

  • references/ost-playbook.md: experience maps, opportunity decomposition, interview prompts, assumption testing, checklists, and collaboration notes.

Resources

Books:

  • *Continuous Discovery Habits* by Teresa Torres
  • *Nudge* by Richard Thaler

Online:

  • Product Talk (producttalk.org)
  • learn.producttalk.org

Related Frameworks:

  • Jobs to be Done
  • Design Thinking

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.81%
按下载量换算59

Claude

29.56%
按下载量换算49

Cursor

16.83%
按下载量换算28

Gemini CLI

9.7%
按下载量换算16

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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