opportunity-solution-tree SKILL.md skillA

opportunity-solution-tree from qa-aman/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add qa-aman/claude-skills/opportunity-solution-tree@git:20260323.7a669c3

Pins git:20260323.7a669c3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
qa-aman/claude-skills
Path
skills/by-role/pm/opportunity-solution-tree/SKILL.md
Versions recorded
1
Latest version
git:20260323.7a669c3, committed Mar 23, 2026
Size
4,125 bytes
Repository stars
25
License
MIT

Build Opportunity Solution Trees using Teresa Torres' framework for structured product discovery. Use this skill when: - You need to map a desired outcome to opportunities, solutions, and experiments - You want to decide WHAT to build next based on user research and discovery data - You have workshop findings, pilot feedback, or user research to structure into actionable options - You need a visual tree diagram showing the path from outcome to testable experiments.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Opportunity Solution Tree

Interactive skill that builds an OST (Teresa Torres' framework). Maps: Desired Outcome -> Opportunities -> Solutions -> Experiments.

## Workflow

1. **Define outcome** — Ask user, or read from spec success metrics / roadmap goals
2. **Read input data** — Workshop findings, pilot feedback, user research, feedback files
3. **Identify opportunities** — Unmet needs and pain points from the data
4. **Brainstorm solutions** — 2-3 solutions per opportunity
5. **Define experiments** — 1-2 validation experiments per solution
6. **Build tree** — Mermaid diagram + detailed breakdown
7. **Output** — Print to conversation or write to file

## The 4 Levels

### Level 1: Desired Outcome
The measurable business/product outcome.
- Must be specific and measurable: "Increase WAU/MAU ratio by 15%"
- Pull from spec success metrics or roadmap goals
- One tree per outcome

### Level 2: Opportunities
Unmet needs, pain points, desires — NOT solutions.
- Frame as user needs: "Users lose motivation after breaks"
- Or as "How might we..." questions
- Pull from: workshops, feedback, pilot data, persona pain points
- 3-5 opportunities per outcome

### Level 3: Solutions
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add qa-aman/claude-skills/opportunity-solution-tree@sha256:916111e824af73da

The line at the top of this page pins the label git:20260323.7a669c3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_cjabsfzzbtzqw423.svg)](https://markdownregistry.com/a/art_cjabsfzzbtzqw423)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Mar 23, 2026.

versioncommittedcommitsizeaudit
git:20260323.7a669c3 latest2026-03-23 7a669c3 4,125 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4125 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

qa-aman/claude-skills · 25 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cjabsfzzbtzqw423
GET https://markdownregistry.com/api/v1/resolve?ref=qa-aman/claude-skills/opportunity-solution-tree
GET https://markdownregistry.com/api/v1/blob/916111e824af73dadf38ec57a8df57eea3d73a1f14f9a13a721d02004b7c2876

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in qa-aman/claude-skills

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