audience-translation
Skill5 starsChanged 8 months agoMITView on GitHub
Explain the same design observation to a designer, a developer, and a non-technical stakeholder. Same insight, three languages. Use when working cross-functionally or presenting design decisions to mixed audiences.
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
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 17
MUST provide the same observation in three forms:
- Distinctive: line 21
All three MUST describe the same underlying observation
- Distinctive: line 22
NEVER dumb down for stakeholders.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Audience Translation
Same observation. Three languages. All accurate.
How to use
/audience-translationTranslate design feedback for multiple audiences in this conversation.
Constraints
Three Translations
- MUST provide the same observation in three forms:
- To designers: Precise technical language (visual weight, hierarchy, density, rhythm)
- To developers: Implementation-mapped language (z-index, opacity, spacing tokens, contrast ratios)
- To stakeholders: Outcome-connected language (user behavior, conversion, trust, comprehension)
- All three MUST describe the same underlying observation
- NEVER dumb down for stakeholders. Simplify, but stay accurate.
Anti-Patterns
- Using designer jargon with developers and expecting understanding
- Using developer jargon with stakeholders and expecting buy-in
- Oversimplifying so much that the nuance is lost
- Translating condescendingly ("to put it simply...")
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- JScottCarter/Claude_skills★ 0same 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 repository38 other files it gives its agents.
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- consumption-disciplineSkill
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- detail-observationSkill
- screenshot-surgerySkill
- visual-auditSkill
- cross-pollinationSkill
- library-architectureSkill
- principle-taggingSkill
- daily-routinesSkill
- design-critiqueSkill
- teaching-tasteSkill
- type-as-signalSkill
- type-selectionSkill
- type-systemsSkill
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- hierarchy-principlesSkill
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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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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.