define-opportunity-tree SKILL.md skillA
define-opportunity-tree from product-on-purpose/pm-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add product-on-purpose/pm-skills/define-opportunity-tree@v2.2.0Pins v2.2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- product-on-purpose/pm-skills
- Path
skills/define-opportunity-tree/SKILL.md- Versions recorded
- 5
- Latest version
- v2.2.0, committed Jul 5, 2026
- First version recorded
- Mar 25, 2026
- Size
- 4,425 bytes
- Repository stars
- 790
- License
- Apache-2.0
Creates an opportunity solution tree connecting a desired outcome to customer opportunities and candidate solutions, preventing solution-first jumps in continuous discovery. Use when structuring scattered feature ideas or communicating how the roadmap traces to outcomes. For ranking an existing flat list of candidates, use define-prioritization-framework instead; this skill discovers the list, it does not score one.
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
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 --> # 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 ## When NOT to Use - You need to score and rank a flat list of known candidates -> use `define-prioritization-framework`; the tree structures discovery, not a ranking exercise - You have one specific problem to frame for a team -> use `define-problem-statement` - You are ready to test a single assumption -> use `define-hypothesis`, then `measure-experiment-design` …
Read the whole file at its exact version.
How to install
mdr add product-on-purpose/pm-skills/define-opportunity-tree@sha256:ebe0be2c0f8a5c93The line at the top of this page pins the label v2.2.0, 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.
[](https://markdownregistry.com/a/art_i35levsid23uct3x)
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Versions
The registry has recorded 5 versions of this file, between Mar 25, 2026 and Jul 5, 2026, about one every 26 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.2.0 latest | 2026-07-05 | 87e423c | 4,425 B | A | view · diff |
| v2.1.0 | 2026-06-10 | 152b175 | 4,202 B | A | view · diff |
| v2.0.0 | 2026-05-20 | be1352b | 3,520 B | A | view · diff |
| v2.0.0 | 2026-04-23 | 8ab0f81 | 3,514 B | A | view · diff |
| v2.0.0 | 2026-03-25 | 0ab0a60 | 3,518 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4425 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
product-on-purpose/pm-skills · 790 stars · license Apache-2.0 · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_i35levsid23uct3x GET https://markdownregistry.com/api/v1/resolve?ref=product-on-purpose/pm-skills/define-opportunity-tree GET https://markdownregistry.com/api/v1/blob/ebe0be2c0f8a5c93eee593e64b9d7092944bee49548ec7ce2ea342c8761b0735
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.