Opportunity Solution Tree

Opportunity Solution Tree is an AI Engineering skill for Claude Code, published by product-on-purpose in pm-skills.

565 stars74 forkson product-on-purpose/pm-skillsAdded 2026/08/25+3% in starsRepository updated 2026/08/25

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Install in seconds

Install Opportunity Solution Tree

Copy Opportunity Solution Tree into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/product-on-purpose/pm-skills/tree/main/skills/define-opportunity-tree ~/.claude/skills/define-opportunity-tree

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/product-on-purpose/pm-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/define-opportunity-tree/SKILL.md in product-on-purpose/pm-skills
Installs to: ~/.claude/skills/define-opportunity-tree
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Opportunity Solution Tree does

Opportunity Solution Tree creates a visual map from a measurable outcome to customer opportunities and candidate solutions. Use it when organizing feature ideas or showing how discovery work traces back to outcomes.

Opportunity Solution Tree is cataloged under AI Engineering on DirSkills. Opportunity Solution Tree comes from a repository tagged agent-skills, agentskills, ai-skills, claude-code and claude-desktop.

Documentation

README

Excerpt

Opportunity Solution Tree

An Opportunity Solution Tree (OST) is a visual framework for product discovery that connects business outcomes to customer opportunities and potential solutions. Developed by Teresa Torres, it prevents the common trap of jumping straight to solutions by ensuring every feature idea traces back to a customer need and measurable outcome.

When to Use

During continuous product discovery to organize learning
When prioritizing what opportunities to pursue
To communicate product strategy to stakeholders
When you have too many feature ideas and need structure
After user research to connect insights to action
When aligning team on what outcomes matter most

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Opportunity Solution Tree

What else does product-on-purpose publish alongside Opportunity Solution Tree?
Opportunity Solution Tree is one of 25 skills that DirSkills catalogs from product-on-purpose/pm-skills, the repository it ships in. Its siblings there include Acceptance Criteria, Architecture Decision Record and Build Risk Review. Each one is a separate skill with its own page in this directory, installs the same way Opportunity Solution Tree does, and is maintained by product-on-purpose in that same repository. The rest of the collection is listed on the product-on-purpose/pm-skills page.
How does Opportunity Solution Tree compare to other AI Engineering skills?
Opportunity Solution Tree ranks #2015 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Opportunity Solution Tree against them. Open each page to compare what they document and how they install.