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Opportunity Solution Trees

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pmprompt·vlatest·other·MIT

Generates structured solution trees for opportunities, streamlining problem-solving and strategic planning by mapping options & outcomes.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add pmprompt/claude-plugin-product-management --skill opportunity-solution-trees -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

pmprompt

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Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned pmprompt/claude-plugin-product-management at 3114dbe33f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3114dbe33f
Manifest
skills/opportunity-solution-trees/SKILL.md
Scanned
1 file, 108 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The opportunity-solution-trees skill helps AI agents map product problems to potential fixes by generating structured Opportunity Solution Trees (OSTs). It visualizes the relationship between customer needs, specific opportunities, and the various solutions that address them.

When to use it

  • Brainstorming initial product ideas from vague customer feedback or market research.
  • Structuring complex problem spaces where multiple solutions might exist for a single opportunity.
  • Validating whether proposed features actually align with identified customer needs.
  • Creating a roadmap for prioritizing which opportunities to pursue based on solution feasibility.

Key capabilities

  • Generates hierarchical tree structures connecting problems, opportunities, and solutions.
  • Facilitates systematic exploration of product strategy without requiring manual diagramming.
  • Helps organize unstructured brainstorming sessions into actionable frameworks.

Example prompts

  • "Create an Opportunity Solution Tree for a mobile banking app where users struggle to find their transaction history."
  • "Map out the opportunities and solutions for improving customer retention in a SaaS subscription model."
  • "Generate an OST starting with the problem that 'customers feel overwhelmed by too many choices' in an e-commerce setting."

Tips & gotchas

Ensure you provide clear context about the specific product domain or user base, as the AI needs this to generate relevant opportunities. This tool is best used iteratively; start with a high-level tree and drill down into specific branches for deeper analysis rather than trying to solve every problem at once.