design-is
Audit a design against Dieter Rams' ten "Good design is..." principles, then hand off a /make-plan prompt for one of three outcomes — new design, refine design, or redesign
Install / Use
npx skills add thedotmack/claude-mem --skill design-isInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of design-is
design-is scores 100/100 on our quality scale, 6th of 1,453 Development & Engineering skills we index (top 1%).
Its SKILL.md is 18 KB long, well organised into 17 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
With 94,599 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated today, so design-is is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
design-is compared with similar skills
design-is has the highest quality score among these 4 similar skills.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| design-is (this skill)by thedotmack | 100 | 94.6k | today | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 43.9k | 3d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 5d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
Frequently asked questions
- How do I install design-is?
- Run
npx skills add thedotmack/claude-mem --skill design-is. The install tabs above show the steps for each supported agent. - Which AI agents does design-is work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is design-is safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is design-is still maintained?
- The repository was last updated today, so design-is is actively maintained.
Skill content
View source on GitHubname: design-is description: Audit a design against Dieter Rams' ten "Good design is..." principles, then hand off a /make-plan prompt for one of three outcomes — new design, refine design, or redesign. Use when the user says "audit this design", "design review", "check this UI against Rams", "is this UI good", "critique this design", "design audit", or asks for a critique that should lead to a plan.
Design Is
Do not use for
- Routine UI code reviews → use
/review - Pure copy edits → use a separate copy pass
- Pre-design ideation with no artifact yet → start with
/make-plandirectly
You are an ORCHESTRATOR. Audit a design against Dieter Rams' ten principles, score each principle with evidence, decide the outcome verdict (NEW / REFINE / REDESIGN), and hand off to /make-plan with a ready-to-run prompt.
You do not write implementation code. You produce: evidence-cited scores, a verdict, and a /make-plan handoff prompt.
The Ten Principles (Dieter Rams)
Audit each principle in this exact order. Each gets a score 0–3 and ≥1 piece of evidence (file:line, screenshot region, copy excerpt, or measured value).
- Good design is innovative — Does it advance the form, or imitate? Innovation rides on technology; never an end in itself.
- Good design makes a product useful — Does it serve the primary task? Emphasizes usefulness; disregards anything that detracts.
- Good design is aesthetic — Is it beautiful? Only well-executed objects can be beautiful; aesthetic quality affects well-being.
- Good design makes a product understandable — Does the structure clarify function? Or is it self-explanatory at best?
- Good design is unobtrusive — Does it stay out of the way? Neither decorative objects nor works of art — leave room for self-expression.
- Good design is honest — Does it claim only what it is? No false promises, no manipulation, no inflated value.
- Good design is long-lasting — Will it age well? Avoids being fashionable; never appears antiquated.
- Good design is thorough down to the last detail — Are edges, empty states, errors, focus rings, motion curves all considered? Care and accuracy express respect for the user.
- Good design is environmentally friendly — Does it conserve resources? Minimizes pollution — in software: bundle weight, energy, attention, cognitive load.
- Good design is as little design as possible — Less, but better. Concentrates on essentials; back to purity, back to simplicity.
The user wrote "Dieter Braun" — they mean Dieter Rams. Don't correct them inline; just use the right principles.
Delegation Model
Use subagents for evidence gathering (reading components, measuring contrast, counting elements, inspecting tokens, screenshotting via agent-browser). Keep scoring and verdict synthesis with the orchestrator. Reject subagent reports that score without citing evidence and redeploy.
Subagent Reporting Contract (MANDATORY)
Each evidence subagent response must include:
- Sources consulted — exact file paths and line ranges, or screenshot regions
- Concrete findings — what is present, what is missing, with quotes/values
- Per-principle facts (not opinions) — leave scoring to the orchestrator
- Known gaps — what could not be inspected and why
Output Artifacts
All artifacts go in DESIGN-IS-<YYYY-MM-DD>/ at repo root (or the project the user points at):
00-scope.md— what was audited (URL, component paths, screens), input materials01-evidence.md— per-principle evidence collected by subagents02-scorecard.md— per-principle 0–3 score with one-line justification + total03-verdict.md— NEW / REFINE / REDESIGN with reasoning04-handoff-prompt.md— copy-pasteable/make-planprompt for the chosen outcome
Phases
Phase 0: Scope Lock (ALWAYS FIRST)
Ask the user (or infer from the request) and write 00-scope.md:
- What is being audited? (live URL, repo path, Figma frame, component name)
- Who is the primary user, and what is the primary task?
- Constraints (brand, stack, deadline)
- Reference designs or competitors, if any
If the user is asking about a design that doesn't exist yet, skip Phases 1–2 and go straight to Phase 3 with verdict = NEW.
Phase 1: Evidence Gathering (FAN OUT)
Deploy subagents in parallel. Each must return ONLY the required fields below — no prose paragraphs, no scoring.
1. Structural Evidence subagent (always deploy) Required fields returned:
- Total interactive-element count on audited surface
- Max nesting depth of the primary component tree
- Repeated-pattern count (same affordance appearing >1 place with the same purpose)
- Dead-prop / unused-import count
- File:line citations for every count
2. Visual Evidence subagent (always deploy)
Mode: if target is a reachable URL or running dev server → use the agent-browser skill for screenshots and computed-style inspection. If target is a static repo with no running instance → read source CSS / tokens / component files and report inferred facts only (mark these "INFERRED").
Required fields returned:
- Spacing scale observed (px array)
- Type scale observed (px array)
- Distinct color count (count of unique hex/oklch tokens actually rendered or referenced)
- Lowest contrast ratio observed across primary text
- States present checklist: empty / loading / error / success / focus / disabled — present or missing for each
3. Copy & Honesty subagent (always deploy) Required fields returned:
- List of every user-facing string with file:line
- Flagged inflations (marketing superlatives without backing)
- Flagged dark patterns (forced continuity, hidden cost, fake scarcity, confirmshaming)
- Flagged jargon / unclear labels with proposed plain replacement
- Label→behavior mismatches with file:line of both
4. Weight & Friction subagent (always deploy) Required fields returned:
- Initial JS bytes (number)
- Network request count for primary view (number)
- Time-to-interactive ms (number, measured or estimated with method noted)
- Animation count on idle screen (number)
- Notification / badge / modal count on initial load (number)
5. Accessibility Evidence subagent (OPTIONAL — deploy only if target has a meaningful interactive UI surface; skip for static landing pages without interaction) Required fields returned:
- WCAG contrast pass/fail per text token
- Focus order list across primary controls
- Keyboard reachability of every primary action (yes/no per action)
- ARIA landmark count
- Skip-link present (yes/no)
Principle → subagent mapping (orchestrator uses this when scoring):
| Principle | Fed by | |-----------|--------| | #1 innovative | orchestrator-only (judgment using all evidence) | | #2 useful | Structural, Accessibility | | #3 aesthetic | Visual | | #4 understandable | Structural, Copy & Honesty, Accessibility | | #5 unobtrusive | Structural, Visual | | #6 honest | Copy & Honesty | | #7 long-lasting | orchestrator-only (judgment using all evidence) | | #8 thorough | Visual | | #9 environmentally friendly | Weight & Friction | | #10 as little design as possible | Structural |
The orchestrator writes 01-evidence.md consolidating all subagent reports. Reject any finding without a source citation. Subagents are explicitly forbidden from scoring — only the orchestrator scores, using the rubric in Phase 2.
Phase 2: Scorecard (ORCHESTRATOR)
The orchestrator scores each of the ten principles itself — do NOT delegate scoring.
For each principle, write to 02-scorecard.md:
N. Good design is <principle> — Score: X/3
Evidence: <one-line summary citing 01-evidence.md anchors>
Justification: <one sentence on why this score, not the one above or below>
Per-principle scoring anchors (apply verbatim — pick the level whose signal best matches the audited surface):
#1 innovative — 3: introduces a pattern not seen in 5+ peer products and ships it with restraint. 2: refreshes an existing pattern with a clear improvement. 1: imitates competitors with minor variation. 0: copies a competitor's flow wholesale. #2 useful — 3: primary task completes in fewest possible steps; no decoy actions. 2: primary task completes but adjacent surface adds steps. 1: primary task requires unnecessary detours. 0: primary task is not directly supported on the screen audited. #3 aesthetic — 3: spacing/type/color obey a single visible system; no orphan styles. 2: ≤2 minor inconsistencies across audited surface. 1: 3–5 inconsistencies OR one jarring violation. 0: no visible system OR active visual noise. #4 understandable — 3: a first-time user names every primary control correctly. 2: 1 control needs a tooltip. 1: 2–3 controls unclear; jargon present. 0: primary action is not identifiable without help. #5 unobtrusive — 3: chrome recedes; content is the figure, UI the ground. 2: chrome visible but quiet. 1: decoration competes with content. 0: chrome dominates content. #6 honest — 3: every claim, badge, and label maps 1:1 to actual behavior. 2: ≤1 minor inflation (e.g. "powerful" once). 1: 2+ inflations OR one dark pattern. 0: any deceptive flow (forced continuity, hidden cost, fake scarcity). #7 long-lasting — 3: visual language has no dated trend markers; would read as current 3 years from now. 2: 1 dated marker. 1: 2–3 dated markers (skeuomorph residue, fad gradients, trend typography). 0: design reads as a specific year's trend. #8 thorough — 3: empty / loading / error / success / focus / disabled all present and considered. 2: 1 state missing or rough. 1: 2–3 states missing. 0: 4+ states missing or default-browser. #9 environmentally friendly — 3: initial JS <100KB, no idle animation, dark mode honored, prefers-reduced-motion respected. 2: <500KB, motion gated. 1: 500KB–2MB, motion always on. 0: >2MB OR autoplay video OR dark mode ignored. #10 as little design as possible — 3: every element earns its place; removing any one breaks the task. 2: ≤2 removable elements. 1: 3–5 removable elements. 0: page is dominated by decoration or duplicated affordances.
Scoring rules:
- Tie-breaker rule: When uncertain between two scores, pick the lower one. Convergence > generosity.
- Score worst, not mean: When a principle has multiple representative instances on the audited surface, score the worst instance — not the average.
- No bonuses, no weights: Scores stay 0–3 integer. Principles are equally weighted. Total is sum of ten scores, max 30.
Phase 3: Verdict (ORCHESTRATOR)
Write 03-verdict.md with one of three verdicts, chosen by these rules:
- NEW DESIGN — No design exists yet, OR the existing artifact is a stub/wireframe with no real decisions to preserve.
- REFINE — Total score ≥ 20 AND no individual principle scored 0. The bones are good; iterate.
- REDESIGN — Total score < 20, OR any principle scored 0 on a load-bearing dimension (typically #2 useful, #4 understandable, or #6 honest). Start over from purpose.
State the verdict in one sentence. Then list the 3–5 highest-leverage moves — each tied to a specific principle and evidence anchor. These become the spine of the next phase's plan.
Anti-patterns to reject in your own verdict:
- Recommending REFINE because the codebase is large (sunk cost is not a design principle)
- Recommending REDESIGN because a single screen is ugly (scope it)
- Recommending NEW when an honest REDESIGN is warranted (don't dodge the critique)
Phase 4: /make-plan Handoff
Write 04-handoff-prompt.md containing exactly ONE fenced /make-plan prompt matching the verdict. The prompt must be self-contained — the next session won't see this audit unless it's quoted in.
Use the matching template below. Fill every <bracket>. Include the top 3–5 moves from Phase 3 verbatim, each with its evidence anchor.
Quote-in step (mandatory, applies to all three templates below): Before emitting the handoff, replace EVERY <bracket> placeholder with concrete content from the a
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
