product-owner
Skill13 starsChanged 27 days agoApache-2.0View on GitHub
Maintain vision, user journeys, evolving requirements and roadmap outcomes when intent or acceptance changes.
12 other projects use a version of this.
Adopted by
Most recently taken up by
- bookchaowalit/platform-agent-skillstheir own version, first seen Nov 8, 2026
- SecuringTheRealm/str-mcp-purviewtheir own version, first seen Nov 1, 2026
- dpalfery/kyber-weavetheir own version, first seen Oct 25, 2026
- fusebase-dev/fusebase-flowtheir own version, first seen Oct 16, 2026
- wamalalawrence/agent-skillstheir own version, first seen Oct 13, 2026
- Finntegrate/tapiotheir own version, first seen Sep 15, 2026
Other versions12 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 12
- dpalfery/kyber-weave★ 23same name
- fusebase-dev/fusebase-flow★ 9same name
- CrashBytes/claude-role-skills★ 7same name
- SecuringTheRealm/str-mcp-purview★ 4same name
- ckifonidis/claude-code-skils★ 2same name
- Finntegrate/tapio★ 2same name
- tomas-u/claude-skills★ 2same name
- brylie/compendium★ 1same name
- CrashBytes/claude-product-owner★ 1same name
- bookchaowalit/platform-agent-skills★ 0same name
2 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository26 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- adk-expertSkill
- adversarial-gateSkill
- cloud-checkupSkill
- cloud-expertSkill
- cost-guardrailSkill
- cxo-oversightSkill
- delivery-orchestratorSkill
- domain-validatorSkill
- frontend-performance-auditSkill
- get-it-doneSkill
- github-managerSkill
- governance-guardrailSkill
- mcp-server-scaffoldSkill
- operating-model-bootstrapSkill
- plugin-submissionSkill
- pr-reviewerSkill
- release-managerSkill
- release-readinessSkill
- sitrepSkill
- spec-first-deliverySkill
- system-performance-guardrailSkill
- test-strategySkill
- the-architectSkill
- using-the-harnessSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 12 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Read the project vision, relevant requirements and current roadmap.
“Common” is measured: kept by at least 6 in 10 of the 12 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Product Owner
Read the project vision, relevant requirements and current roadmap. Capture new intent with provenance and stable IDs; separate source wording from interpretation. Define the user journey, outcome, exclusions and observable acceptance. Check both directions: each promised journey has requirements, and each requirement serves a vision outcome.
Own the product content and roadmap priorities; the accountable human accepts material scope changes. Preserve accepted/superseded revisions and link changed business workflows and ADRs. Hand accepted requirements to delivery-orchestrator for ticket decomposition, sizing, assignment and state tracking. Do not duplicate its backlog.
At completion compare actual behaviour and test evidence with the accepted requirement, including reachability by the intended user. Record remaining coverage and acceptance explicitly; do not close a whole requirement because one implementing ticket merged.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.