product-opportunity-tree SKILL.md skillA
product-opportunity-tree from stijnman/grok-custom-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add stijnman/grok-custom-skills/product-opportunity-tree@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- stijnman/grok-custom-skills
- Path
.grok/skills/product-opportunity-tree/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Aug 14, 2026
- Size
- 2,388 bytes
- Repository stars
- 14
- License
- MIT
Map a measurable product outcome to customer opportunities, solution options, and assumption tests. Use for: opportunity solution tree, product discovery map, customer opportunity mapping, outcome-to-solution planning.
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
# Product Opportunity Tree ## Purpose Create an evidence-aware opportunity tree that connects a desired outcome to customer needs, candidate solutions, and assumption tests. Use it to avoid treating a feature idea as the problem definition. ## Workflow 1. Define one measurable outcome that the team can influence, including its current baseline if known. 2. List customer opportunities as needs, barriers, or desired outcomes rather than proposed features. 3. Attach evidence to each opportunity and label it as observed, reported, inferred, or unknown. 4. Generate multiple solution options for promising opportunities; do not select a solution merely because it was proposed first. 5. Identify the riskiest assumption for each selected solution and define the smallest ethical test that could reduce uncertainty. 6. Prioritize the next branch using impact, confidence, effort, and evidence quality. 7. Deliver a tree, evidence notes, open questions, and the next experiment. ## Output format Use a concise hierarchy: **Outcome → Opportunities → Solutions → Assumption tests**. Include a Mermaid diagram when it improves readability, but keep the textual hierarchy authoritative. …
Read the whole file at its exact version.
How to install
mdr add stijnman/grok-custom-skills/product-opportunity-tree@sha256:7f46b262591bd0c2The line at the top of this page pins the label v1.0.0, 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_2ttvffibemuwzu55)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Aug 14, 2026.
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 (2388 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
stijnman/grok-custom-skills · 14 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2ttvffibemuwzu55 GET https://markdownregistry.com/api/v1/resolve?ref=stijnman/grok-custom-skills/product-opportunity-tree GET https://markdownregistry.com/api/v1/blob/7f46b262591bd0c2433541e640aa52435dbe687953febbd872e68df036e52f41
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.