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SKILL verified MIT Self-run

Design From Code

skill-nlook-service-design-from-code-design-from-code · by nlook-service

Workflow skill that turns one issue/requirement into a design in the order "verify real code & data → iterate faithful HTML mockups → design doc (.md) → delegate implementation." When designing a change to existing UI, it reads the actual component source and data model instead of imagining them, and reproduces the current screen pixel-for-pixel. Triggers (EN) "design this", "make a mockup", "how…

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Install

$ agentstack add skill-nlook-service-design-from-code-design-from-code

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

design-from-code — design mockups grounded in real source

> One line: lock facts with code → agree via HTML → nail it in a .md → ship by delegating. > The key difference: mockups are not imagined. They are reproduced down to the pixel and the number by reading the real component JSX and data queries.

When to use

  • Designing a change that adds or modifies something in an existing screen/component (e.g. "add a metrics card to the bottom bar")
  • UI re-layout / emphasis requests like "it's hard to see / I want it shown like this"
  • Exposing data (numbers, stats) on screen when you need to pin down exactly what each number counts
  • When the user says "mockup first / show me in HTML"

When NOT to use

  • Pure backend/CLI work, changes with no UI
  • A simple, already-agreed bug fix (no mockup needed)

Core principles (these override every other decision)

  1. No guessing — read the code. "How does this stat work?" is wrong ~100% of the time if you imagine it. Trace handler→query→schema all the way down, confirm it as fact, then design. → references/data-model-verification.md
  2. Reproduce the real component faithfully. Before any new mockup, draw the current state (AS-IS) exactly as the real JSX renders it. Schematic drawings cause misunderstandings. Don't reproduce from a glance — a rough AS-IS guarantees a wrong TO-BE; confirm it with the fidelity self-check before moving on. → references/code-fidelity-reproduction.md (★ the heart of this skill)
  3. Pictures over prose. Iterate with self-contained HTML you can see and fix. Bump the version (v2, v3…) on every round of feedback. → references/html-mockup-recipe.md
  4. Confirm one decision at a time. "A vs B?" → "7-day window?" → "monotone color?" — ask narrowly.
  5. Mark keep / new / changed. When "leave the rest as-is" is a requirement, use 🟦keep / 🟩new / 🟨changed color tags to show what you are not touching.
  6. Empty / initial state is first-class. Always design the data-zero (new user) screen alongside the populated one.
  7. Delegate the build, but verification is mandatory. Close it out with build / type-check / tests.
  8. Check for source before promising fidelity. First confirm enough real code exists to read (Step 0). If it doesn't, say so and downgrade to a clearly-labeled proposal — don't pretend to reproduce something that isn't there.
  9. Ground the look — don't default to AI decoration. What's firm: never invent a generic AI aesthetic. Anchor every mockup to something real — the product's actual tokens/components (you already read them), a reference the user gives, or a named style — and if a new look is wanted but no reference exists, ask for one rather than inventing it. With nothing supplied, fall back to the restraint guardrail (no emoji-icons, no gradient blobs, one semantic accent, hierarchy from scale not decoration). The specific aesthetic is the user's to direct and override; what doesn't bend is that it's grounded, not guessed. Record the choice in meta.json.direction. → references/html-mockup-recipe.md §0

The 8-step workflow

> Step 0 (gate) — does enough real source exist? Before committing to full-fidelity mode, check that the code this design touches is actually readable. Locate the target component/screen and its data path (handler → query → schema). Then branch: > - Sufficient source found → run all 8 steps as written (reproduce AS-IS, verify data to the schema). > - Partial (component exists, data path is a black-box API / not yet built) → reproduce what you can read; for the rest, state it as an assumption to confirm, never as verified fact. > - None (greenfield / empty repo / idea-only) → skip Steps 2–3 and 6 (nothing to map, verify, or reproduce); go straight to fresh mockups (4–5) and record every data meaning as a defined-here spec, flagged for the user to confirm. > > Announce which branch you're on in one line ("No existing component for this — designing fresh, assumptions flagged") so the user knows the output's fidelity up front. Never fabricate a fake "current screen" to fill the gap.

| # | Step | Key tools | Detail | |---|------|-----------|--------| | 0 | Source-availability check | Agent(Explore) / Bash (grep) | Confirm the target code + data path are readable; pick the branch above | | 1 | Read the issue verbatim | Bash + gh issue view | Don't open GitHub via WebFetch (auth fails) | | 2 | Map the code | Agent(Explore) ×N | Get just the conclusions for related components/hooks/schema | | 3 | Verify the data | Bash (grep/sed) + Explore | handler→use-case→repository→schema. references/data-model-verification.md | | 4 | HTML mockup v1 | Write (.html) + SendUserFile | Write to .design//v1.html + create meta.json. Phone frame, 2–3 options, per-state, inline SVG. references/html-mockup-recipe.md, references/artifact-format.md | | 5 | User confirmation | reply / AskUserQuestion | Confirm one at a time; add vN.html + a versions[] entry per round | | 6 | Faithful AS-IS/TO-BE | Bash (read JSX with sed) + Write | Extract real render fns/classes/labels → HTML in the same folder. Run the fidelity self-check before TO-BE (re-diff vs source always; screenshot-compare when the app can render). references/code-fidelity-reproduction.md | | 7 | Design doc .md | Write | .design//design.md + set status/build in meta.json. Approved mockup + verified data model + build entry points + phases | | 8 | Delegate + verify | Agent (language expert) + direct | Delegate with the contract & verify commands baked in; close with build/tests |

Output contract — persist to .design/

Every mockup and its planning history is written to a portable, tool-agnostic format so the design outlives the session and any viewer can render it. Don't keep artifacts only in chat: write each version to .design//vN.html, and record the decisions, verified data meanings, and version history in meta.json. This is the federation point — the skill produces the format; a separate viewer/spec tool reads it (gallery + timeline). Full spec, schema, and index/timeline model: → references/artifact-format.md.

Reference files

  • references/artifact-format.mdthe .design/ output format: meta.json schema, derived index.json, and the two-layer timeline (per-version + global). The contract between this skill, other producers, and any viewer.
  • references/code-fidelity-reproduction.md★ concrete technique for reading the real component with sed and reproducing it 1:1 in HTML (worked renderSeg example)
  • references/data-model-verification.md — how to trace the data model all the way down (events-table username-attribution example)
  • references/html-mockup-recipe.md — recipe for self-contained HTML (phone frame, inline-SVG charts, design tokens, empty state)
  • references/prompt-templates.md — copy-paste prompts for each step
  • examples/issue-976-walkthrough.md — the full flow of a real case (v1→v5, including the point where the user corrected "top/bottom is reversed")

Common mistakes (checklist)

  • [ ] Wrote data behavior from a guess → did you confirm it in code?
  • [ ] Mockup is schematic so it differs from reality → did you read the real JSX and reproduce classes & labels?
  • [ ] Asked several decisions at once and caused confusion → did you confirm one at a time?
  • [ ] "Keep existing" was the requirement but it's unclear what stays untouched → did you add keep/new/changed tags?
  • [ ] Forgot the empty / initial state (data-zero) → did you include the empty-state design?
  • [ ] Pulled in a chart library for the graph → did you use inline SVG instead?
  • [ ] Skipped build/type-check after implementing → did you close it out with verification commands?
  • [ ] Mockup looks AI-generic (emoji-icons, gradient blobs, icon soup, rainbow accents) → did you match real product tokens / a reference, or fall back to the restraint guardrail and record direction?

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.