visual-identity
Skill2 starsChanged 3 months agoMITView on GitHub
Use when a project needs its visual/frontend design direction decided — fonts, colors, theme, spacing, and overall feel — before or during implementation. Use when the user wants an art-direction pass that avoids generic, default-looking AI design and wants something that reads as intentionally designed.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- brainbytes-dev/everything-claude-marketingtheir own version, first seen Nov 1, 2026
- nemolabsdev/conversion-crafttheir own version, first seen Aug 12, 2026
- motionharvest/agent-skillstheir own version, first seen Jun 27, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- brainbytes-dev/everything-claude-marketing★ 9same name
- motionharvest/agent-skills★ 2same name
- nemolabsdev/conversion-craft★ 2same 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 repository2 other files it gives its agents.
- idea-interrogatorSkill
- project-briefSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 6 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Before or during frontend implementation, when visual direction isn't set
- Distinctive: line 22
Run multiple rounds, one question at a time — wait for the user's actual answer before asking the next question or proposing any direction.
- Distinctive: line 28
Round 1 — References: Ask for 2-3 things (apps, brands, physical objects, eras, films) whose look the user admires, and what specifically …
- Distinctive: line 31
Round 2 — Mood words: Ask for 3-5 adjectives describing the desired feeling (e.g.
- Distinctive: line 39
Use at least 4 comparisons covering: typography style, color temperature/ contrast, corner/border treatment, density (spacious vs.
- Distinctive: line 47
Only after all four rounds have real answers, synthesize them into a direction.
- Very specific: line 52
Write visual-identity.md to the current working directory:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 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
Visual Identity
Overview
A deep taste interview that produces a concrete, non-generic visual direction: narrative rationale plus implementable design tokens. The explicit goal is to avoid the default "AI app" look (safe sans-serif, blue/purple gradients, uniform rounded corners) by grounding choices in real references and comparisons rather than the interviewer's own defaults.
When to Use
- Before or during frontend implementation, when visual direction isn't set
- User wants the project to feel "designed", not templated
- Follows idea-interrogator in a validation → design → brief pipeline, but works standalone too
Process: Deep Taste Interview
Run multiple rounds, one question at a time — wait for the user's actual answer before asking the next question or proposing any direction. Don't answer your own questions and don't shortcut to a single questionnaire; the point is triangulating taste through back-and-forth comparison, not collecting a spec sheet in one pass.
Round 1 — References: Ask for 2-3 things (apps, brands, physical objects, eras, films) whose look the user admires, and what specifically about each.
Round 2 — Mood words: Ask for 3-5 adjectives describing the desired feeling (e.g. "quiet and confident" vs "loud and playful"). Push for specificity — "modern" and "clean" are non-answers, ask what modern actually looks like to them.
Round 3 — Comparisons: Present concrete forced-choice pairs based on rounds 1-2 (e.g. "serif or grotesque sans for headings?", "high contrast dark mode or warm paper-toned light mode?", "sharp corners or soft?"). Use at least 4 comparisons covering: typography style, color temperature/ contrast, corner/border treatment, density (spacious vs. dense).
Round 4 — Practical constraints: fonts (if any hard requirement),
required brand colors (if any), theme (light/dark/both), and purpose/audience
(reuse from idea-interrogator-verdict.md if present in cwd instead of
re-asking).
Only after all four rounds have real answers, synthesize them into a direction. If answers conflict, name the tension and pick a resolution rather than averaging into blandness.
Deliverable
Write visual-identity.md to the current working directory:
# Visual Identity: <project name>
## Direction
<3-6 sentence narrative: the chosen aesthetic and why it fits the project's
purpose/feeling/references, naming the specific reference points used>
## Tokens
**Typography**
- Heading font: <name>, stack: `<font stack>`
- Body font: <name>, stack: `<font stack>`
**Color**
- Background: `#hex`
- Surface: `#hex`
- Text primary: `#hex`
- Text secondary: `#hex`
- Accent: `#hex`
- (dark-mode variants if applicable, same keys)
**Shape & Spacing**
- Corner radius: `<value>`
- Border style: `<value>`
- Spacing scale: `<e.g. 4/8/16/24/32/48px>`
**Theme**
- Mode(s): light | dark | bothCommon Mistakes
- Answering your own questions instead of waiting for the user's real answer — this collapses the interview into a monologue and defeats the point of a taste-triangulation process.
- Jumping straight to token values without the reference/mood/comparison rounds — this is exactly how generic output happens.
- Picking the "safe middle" on forced comparisons instead of committing to a point of view.
- Descriptive-only or tokens-only output — the deliverable requires both.
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.

