design-research
Skill2 starsChanged 2 months agoMITView on GitHub
Research UI references and component options for a requested interface, verify fit and reuse conditions, and turn the findings into a concrete design brief before implementation.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- ldaume/agentic-engineering-harnesstheir own version, first seen Nov 8, 2026
- matthewdigiuseppe/MStacktheir own version, first seen Nov 1, 2026
- ZachArticulateV/designer-pro-and-seotheir own version, first seen Oct 19, 2026
- int2t05/engineering-skillstheir own version, first seen Oct 15, 2026
- shub-rajput/design-superskillstheir own version, first seen Oct 14, 2026
- wjlgatech/design-anythingtheir own version, first seen Jul 18, 2026
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- hamelsmu/design-research★ 76same name
- matthewdigiuseppe/MStack★ 17same name
- tykisgod/quick-question★ 12same name
- mevans2120/design-suite-claude-skills★ 11same name
- shub-rajput/design-superskills★ 10same name
- ZachArticulateV/designer-pro-and-seo★ 10same name
- int2t05/engineering-skills★ 3same name
- ldaume/agentic-engineering-harness★ 3same name
- wjlgatech/design-anything★ 1same name
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 repository13 other files it gives its agents.
- architecture-planningSkill
- backend-engineeringSkill
- code-reviewSkill
- database-api-evolutionSkill
- deployment-safetySkill
- excalidraw-diagramsSkill
- execution-loopSkill
- explain-with-diagramsSkill
- frontend-engineeringSkill
- hyperframes-videoSkill
- systematic-debuggingSkill
- test-verifySkill
- ui-ux-reviewSkill
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 9 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
Use for visual direction, interface reference selection, and component research.
“Common” is measured: kept by at least 6 in 10 of the 9 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
Design research
Use for visual direction, interface reference selection, and component research. For a defect review of an existing interface, use ui-ux-review; for implementation, work within the project's frontend conventions.
Establish the design problem
Inspect the existing interface, framework, component inventory, tokens, and dependency versions. Ground the research in the user's audience, key task, content, brand constraints, and target devices. Preserve their chosen stack and design direction; ask only when missing context materially changes the recommendation.
Discover and verify
Use Designeer as a discovery directory for UI examples, design systems, and components. Browse the categories relevant to the task rather than collecting a broad catalogue. Follow promising links to their original site, documentation, and repository. Designeer is a discovery reference, not an assumed MCP service or installable skill. If it is unavailable, use original sources and state that limitation.
Separate visual inspiration from reusable code. For each shortlisted reference, record the original URL, date checked, relevant pattern, and how it serves the requested user task. A screenshot demonstrates appearance; it does not establish working interactions or permission to copy assets.
Before recommending code or assets for reuse, verify the original source's license and attribution obligations, commercial-use terms where relevant, maintenance status, framework/version fit, dependency cost, and SSR or client-only requirements. Check the actual component or asset license rather than assuming a directory listing or an open repository grants reuse rights. If terms or compatibility cannot be confirmed, mark them unresolved and choose another source or create an original implementation of the general pattern.
Assess accessibility through source documentation and, when feasible, a working demo: semantic structure, keyboard behavior, visible focus, contrast, zoom/reflow, accessible names, and reduced-motion behavior. Distinguish documented support from behavior actually tested. Do not treat attractive visuals or a library's accessibility claim as complete evidence for the final interface.
Produce an actionable brief
Recommend a coherent direction and explain the selections in terms of the user's task. Include:
- Page hierarchy and key interactions, with loading, empty, error, and success states where relevant.
- Concrete typography, color roles, spacing, layout, and motion guidance mapped to existing tokens; identify any justified additions.
- Responsive behavior and accessibility acceptance criteria for the target devices.
- A short reference table: original source, pattern to adapt, verified reuse terms, compatibility, accessibility evidence, and unresolved issues.
- Component mapping: existing project component first, a small original implementation next, and a new dependency only when its benefit justifies the cost.
Keep the brief specific enough to implement without guessing the hierarchy or interaction behavior. Link evidence near the decision it supports. Research alone does not authorize installing packages, running copied commands, importing remote registries, creating accounts, or changing integrations. Proceed into implementation only within the user's requested scope and normal project authorization.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- 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.

