Design System Contribution Reviewer
by 香意國際
Evaluate proposed components, patterns, or layouts against reuse, accessibility, evidence, documentation, and system-fit criteria before review.
$19.99
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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 Design System Contribution Reviewer.
Important work should not start with an ungrounded chat prompt. Design System Contribution Reviewer gives Design System Governance 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
- Contribution readiness scorecard
- duplicate and reuse assessment
- evidence and urgency summary
- review decision memo
- contributor revision checklist
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 Contribution readiness scorecard, with explicit inputs, trade-offs, missing evidence, and an approval-ready next step.
Why this skill earns a place in your workflow
Uses a repeatable evidence-led rubric and produces reviewer-ready artifacts from supplied proposal materials, rather than offering generic design feedback.
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
The skill only organizes and evaluates buyer-provided materials; authorized design-system owners make final acceptance, accessibility, and implementation decisions. 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.
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Creator
香意國際
122 skills on Agensi
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