UX Repository Taxonomy Architect
by 香意國際
Design a maintainable taxonomy that classifies supplied UX research artifacts and insights for consistent retrieval, reuse, and governance.
$19.99
Secure checkout via Stripe
Works with the AI tools you already use
See it in action
You say
Authorized context, decision goal, constraints, and accountable reviewer.
Your agent does
Review-ready decision pack with evidence labels, primary artifacts, open questions, risks, and approval checkpoint.
What you get
About this skill
Turn scattered inputs into a review-ready UX Repository Taxonomy Architect.
Important work should not start with an ungrounded chat prompt. UX Repository Taxonomy Architect gives UX Research Operations Team a repeatable way to turn authorized source material into a structured decision pack: evidence is labeled, open questions remain visible, and every next step has an accountable human owner.
What you can produce
- Taxonomy blueprint
- controlled-vocabulary and tag rules
- artifact-to-tag mapping
- search and maintenance guidelines
The before-and-after
Before: Important context lives across notes, drafts, spreadsheets, messages, policies, or interviews. Teams debate what is known, what is assumed, and who needs to decide.
After: You have a shared, review-ready artifact centered on Taxonomy blueprint, with explicit inputs, trade-offs, missing evidence, and an approval-ready next step.
Why this skill earns a place in your workflow
It converts a buyer’s actual repository sample into explicit fields, controlled terms, ambiguity rules, and maintenance triggers rather than offering generic organization advice.
Use it when
- You need to convert buyer-provided context into a reusable operating artifact.
- You want assumptions, unknowns, and contradictory inputs surfaced before a team acts.
- You need one clear version of the work for cross-functional review and accountable approval.
How it works
- Provide the authorized context, goal, constraints, and decision owner.
- Run the workflow to build an evidence ledger, required deliverables, options, and open questions.
- Review the output with the accountable human, verify claims, and decide whether to implement the next step.
Built for thoughtful teams, not autopilot
This is an instruction-only SKILL.md workflow. It does not log in, browse private systems, edit records, send messages, publish content, run commands, or execute transactions. It is designed to improve the quality and repeatability of team thinking—not to bypass ownership or professional judgment.
Known limitations
Use only buyer-supplied, authorized and appropriately redacted materials; provide recommendations for human approval without accessing systems, making decisions, or claiming compliance. Buyers must verify facts, follow their own policies, and obtain any specialist review required for their context. This skill does not provide legal, financial, privacy, compliance, security, accessibility, or safety determinations.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
30-day refund
Not a fit? Get your money back
Trust & safety
Security scanned
Verified clean today
- 30-day refund guarantee
- One-time purchase, yours forever
- Secure checkout via Stripe
Creator
香意國際
122 skills on Agensi
Frequently Asked Questions
Popular in Business & Operations
research-to-decision-pro-skill
Turn messy research into rigorous, evidence-backed decision memos with specialized modes for technical and business leads.

Business Strategist
A framework-driven consultant for business diagnosis, market mapping, and pricing strategy.

founder-stage-gate-operator
A rigorous stage-gate framework to validate ideas, limit MVP scope, and ensure audit-ready startup growth.
Product Manager Engine
Product management across 7 product types. RICE prioritization, PRD frameworks, roadmap planning, A/B testing, data-driven decisions.