Agent skill

Figma Codegen

by awdr74100 in awdr74100/figwright

Generate framework-aware code from a Figma design. An agent skill from awdr74100/figwright.

MITAuto-check passedFrontend & Design

Install Figma Codegen

skills CLI
$ npx skills add awdr74100/figwright --skill figma-codegen -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install awdr74100/figwright figma-codegen --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/awdr74100/figwright.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/figma-codegen .claude/skills/figma-codegen && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
figma-codegen
GitHub stars
977
Token cost
~4.2k tokens
SKILL.md length
2,237 words
Files
7 (incl. references)
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Generate framework-aware code from a Figma design. An agent skill from awdr74100/figwright.

  • Works in 4 steps: get_design_context (detail full,… → component_map → every Figma component… → token_map → every Figma variable joined… → …
  • Ever the user wants a Figma design turned into code — e.g
  • SKILL.md covers When to use, More than one Figma file open, Workflow and Keep code in sync as the…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Figma Codegen is an agent skill from awdr74100/figwright. Generate framework-aware code from a Figma design. Reads the project's stack profile and emits code matching the existing framework (React/Vue/Svelte/Next/etc.) and styling (Tailwind/CSS/CSS-in-JS), reusing existing components and design tokens instead of regenerating from scratch. Triggers whenever the user wants a Figma design turned into code — e.g. 'code this design', 'implement this frame', 'build this screen/component', 'turn this Figma into React/Vue', 'convert this design to code' — or whenever a Figma…

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/assets-and-icons.md`, `references/grounding.md` and `references/motion.md`).

It sits in Frontend & Design, covering Project scaffolding, Design to code and Design tokens. It works with Figma, React, Vue.js and Svelte. The repository describes itself as: Free, two-way Figma MCP server. Turn designs into framework-aware code, and push code back to the canvas. Works with Claude Code, Cursor, Codex, and any MCP client. The licence is MIT.

When your agent uses it

  • Ever the user wants a Figma design turned into code — e.g
  • Tasks that involve Project scaffolding
  • Tasks that involve Design to code

Example prompts

  • “code this design”
  • “implement this frame”
  • “build this screen/component”
  • “/figma-codegen”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. get_design_context (detail full, dedupeComponents: true) → the structural tree with
  2. component_map → every Figma component grouped to a local code component with a status
  3. token_map → every Figma variable joined to a project token with status + ref + matchedBy.
  4. Export the assets grounding can't carry — logos, photos, icons have no pixels and otherwise

What it can do on your machine

Read from SKILL.md and the folder at commit a92d602. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Figma Codegen loads about 4.2k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 165 tokens; SKILL.md has 2,237 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~165
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~18k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from awdr74100/figwright at commit a92d602, republished under its MIT licence (© awdr74100). 2,237 words, ~4,238 tokens.

Download SKILL.mdSave it as .claude/skills/figma-codegen/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
figma-codegen
description
Generate framework-aware code from a Figma design. Reads the project's stack profile and emits code matching the existing framework (React/Vue/Svelte/Next/etc.) and styling (Tailwind/CSS/CSS-in-JS), reusing existing components and design tokens instead of regenerating from scratch. Triggers whenever the user wants a Figma design turned into code — e.g. 'code this design', 'implement this frame', 'build this screen/component', 'turn this Figma into React/Vue', 'convert this design to code' — or whenever a Figma URL or the current Figma selection appears alongside a coding request. Works for full screens, single sections, or one component.

figma-codegen

Turn a Figma selection into code that looks like the rest of the project: reuse the components and tokens that already exist, only build what's genuinely missing. The grounded tools do the heavy lifting so you are not guessing from a screenshot. This file is the router; deep detail lives in references/ — load a reference when its step is in play.

When to use

  • The user pastes a Figma URL/selection and asks for code ("code this", "build this component").
  • The user wants to extend an existing component to match a Figma frame.

More than one Figma file open

Every tool result says so when it applies, so you do not have to check up front: with two or more files connected and none claimed, results carry a MORE THAN ONE FIGMA FILE IS OPEN block naming them. It matters because calls otherwise follow whichever file the user last touched, which changes when they switch tabs — so a task can read one file and write to another and report success.

When you see it, claim the file before doing anything else: list_files names every connected file, use_file({ fileName }) claims one for this session (use_file({ sessionId }) when two open files share a name — Figma allows that, and x (Copy) is how it happens). Every later call then reaches that file whatever is in front, including while its tab sits in the background. If the user has not said which file, ask — do not guess from the names.

Workflow

Run the grounded tools against the selection, then generate — trust them over the rendered image.

  1. get_design_context (detail full, dedupeComponents: true) → the structural tree with tokens resolved to names (Primary/500, spacing/4), styles deduped into globalVars, and each instance's mainComponent / componentProperties. This is the layout + binding source of truth. Keep dedupeComponents: true and don't depth-limit a subtree you'll build from. → How to read the tree, the per-node fidelity catalog (effects, per-side borders, stroke align, per-corner radius, blend, masks, gradients, image-fit, auto-layout/grid, aspect-ratio, scroll/sticky, stack & stroke-space), Dev Mode annotations as ground truth, and grounding a page too big for one call: references/grounding.md.

  2. component_map → every Figma component grouped to a local code component with a status (high / medium / low / unmapped), candidate.filePath, and matchedProps.

    • high / medium: reuse that component (import from candidate.filePath), don't regenerate. Never invent a component name component_map didn't report.
    • candidate.ambiguousWith (a capped list of { name, filePath }): the Figma name matched two or more code components nearly equally and the join couldn't confidently pick — a verify-me pick, not a confident reuse (the analogue of token_map's ambiguousWith). Check which of the winning candidate + these runner-ups is the right component for this context before importing (a wrong reuse is a silent visual bug), then record the confirmed one in the map file so the next run is certain. Absent when the pick was unambiguous.
    • Wire each entry's instances[].props (resolved variant / boolean / text values) onto the reused component — one element per instance, with its own props.
    • candidate.unmatchedProps: Figma axes the component has no prop for (a leading icon, a required flag, an active state) → surface as component-extension TODOs, never fake them with ad-hoc markup.
    • unmapped: build it new in the project's style. For a repeated unmapped component (instanceCount > 1), build from its first instance's subtree; if that came back deduped/truncated, drill get_design_context on instances[0].nodeId once — don't rebuild a repeated component by eye.
    • When you're emitting a component's own definition (its prop types, not just rendering it), get_component_api on the component/instance returns the full property API — every VARIANT option and each BOOLEAN/TEXT/INSTANCE_SWAP prop with its default — so the prop space is grounded, not inferred from the instances you happened to see.
    • That API names the props; the tree names the layer each one drives. A sublayer inside a COMPONENT or an INSTANCE carries componentPropertyReferences ({ characters | visible | mainComponent: "PropName#1:2" }). Wire that layer to the prop, not to what it happens to render: characters: "Label#1:2" is {props.label}, not the literal string in the design, and visible: "Show Badge#3:4" renders conditionally. Without it you emit the right markup with no props at all — every instance frozen to whatever the one you looked at said.
  3. token_map → every Figma variable joined to a project token with status + ref + matchedBy. A document's shared paint styles (single solid color styles — the token mechanism of pre-variables files) join the same way, marked source: 'style'.

    • mapped: reference candidate.ref (bg-primary-500, var(--color-primary-500)) — never the raw hex/px get_design_context resolved. matchedBy: ['name'] on a colour (value drifted): use it but flag the mismatch.
    • candidate.ambiguousWith (several project tokens share that exact value and the name couldn't split them): a capped, verify-me pick — choose the semantically right sibling for the context (or keep the value and flag the gap), never treat it as a confirmed reuse.
    • On a document with few or no variables (most real-world files), get_design_context's own projectTokens map is the fallback: any raw color in the payload that exactly equals a project token's value is annotated there ({ "#6266F0": { ref, name, matchedBy: ["value"] } }). Before hardcoding a hex, look it up and emit the ref when it fits the context semantically. matchedBy: ["value"] marks the entry as name-blind value-equality evidence — a hypothesis to verify, not a resolved binding: an entry with candidates lists same-value tokens to choose between by meaning, a semantically wrong token is worse than the raw value (keep the raw value and note the gap instead), and a bound Figma variable always outranks a raw-value match.
    • framework-builtin (a built-in scale step of the project's utility framework — Tailwind or UnoCSS — e.g. spacing/4, line-height/7, weight/Bold): carries builtin: { scale, step } — compose the utility (p-4/gap-4, leading-7, font-bold), not an arbitrary p-[16px]. This is not a gap.
    • from (a SCSS variable): the ref does not resolve on its own. The file you write must import the declaring file, and from is repo-relative while Sass resolves @use against the importing file — so re-resolve it from where you are writing: from src/components/card.scss, from: src/styles/_tokens.scss becomes @use '../styles/tokens' as *, never the repo-relative path verbatim. as * keeps the ref as given; the project's own @use style may namespace it instead (@use '../styles/tokens' makes $color-primary-500 into tokens.$color-primary-500). Emitting the ref without the import is a compile error, not a style nit.
    • unmapped: use the value but call out the gap (offer to add it to the token source); don't hardcode silently.
    • figmaModes ({ Light: …, Dark: … }, with the file's theme axes on themedCollections): the token is theme-dependent — figmaValue is only the default mode, never the whole story. Mapped: emit candidate.ref and confirm the project token itself switches per theme (.dark / [data-theme] / prefers-color-scheme / a dark: story); if the project defines only one value, wire the other mode's value into that mechanism or surface a theme gap. Unmapped: the default mode is the base, other modes ride the project's dark-mode mechanism (dark: variants / prefers-color-scheme). Themes encoded without native modes — paired collections or name groups (Color/Light/* + Color/Dark/*, a plan-limited workaround) — get the same treatment.
  4. Export the assets grounding can't carry — logos, photos, icons have no pixels and otherwise render as grey blocks. save_image_fills for IMAGE-fill nodes (the original asset, not a clipped re-render), icon_map first for icons (reuse curated .svgs), get_screenshot only for the composited look. → Full asset/icon/svg/colour-contract workflow: references/assets-and-icons.md.

Then emit code in the detected stack (the profile comes back on component_map / token_map; you do not call analyze_project yourself): compose the reused components, wrap unmapped pieces, and apply token references for colour/spacing/radius/typography.

Keep code in sync as the design changes

Codegen is rarely one-shot — the design keeps moving. To make the second pass an incremental edit instead of a regeneration:

  • After you generate, design_diff on the section/component nodeId saves a baseline (its get_design_context) under .figwright/snapshots/. Committing that file lets teammates share the baseline; the tool never touches git.
  • When asked to re-sync ("the design changed, update the component"), design_diff the same nodeId again: it returns the per-node, per-property delta — added / removed / changed nodes with resolved values (a fill, a padding, a text string, a token rebind), each with a readable path (Card / Header / Title). Edit only the code those nodes map to; don't regenerate the screen. Ground each changed value the usual way (it's a get_design_context slice), then design_diff with update: true to accept the new design as the baseline.
  • Scope it by the same nodeId unit you coded from. no-changes means the design is untouched since the baseline — nothing to do.
  • Except for Motion. The snapshot is a full, deduped get_design_context, which carries only a Motion summary (preset names, animated field names, timeline length) — so a changed keyframe time, value or easing, or a preset's config or props, can come back no-changes, and instance children the dedupe collapses carry no summary at all. To re-sync animation, re-run get_motion_context on the root and compare it with what the code implements.
Show full SKILL.md (788 more words)Show less

Record verified mappings (so the next run reuses, not re-guesses)

The joins re-derive from scratch every run. A mapping you confirmed — reused a component and it rendered right, resolved an ambiguous colour to the semantically correct token — is worth recording so the next run treats it as ground truth instead of re-guessing. Two append-only map files, each read back by its join as highest authority:

  • docs/figma-component-map.md — rows | FigmaName | code/path | (or FigmaName -> path). component_map then returns that component as source: 'map-file', confidence 1.

  • docs/figma-token-map.md — rows | FigmaName | ref |. token_map returns it as matchedBy: ['map-file'], confidence 1. The ref is what you'd emit — a utility (bg-primary-500), a var(--color-primary-500), or the bare token name.

  • A recorded row OVERRIDES the fuzzy join on every future run — so record proof, not a pick. The gate is your own verify step (§ Responsive & verify): only after you rendered the result and it matched the Figma node do you record the mapping you proved. A wrong row doesn't fail loudly — it silently mis-maps that component/token in every future generation until a human notices, which is worse than no record at all. If you're not certain, don't record it; a re-guess next run is recoverable, a confidently-wrong recorded row is not.

  • Record only the mappings the join was unsure of — a low/medium component match you confirmed, an unmapped component you built (record its new file), or a token that came back ambiguousWith / matchedBy: ['value'] / unmapped and you resolved by meaning. Skip the already-high deterministic matches; they re-derive correctly and a row for them is just noise.

  • These files are committed project docs — treat a row like a line of code you're asserting is correct, not a scratch note. One figma name → one target per row; keep them reviewable.

  • Keep the files healthy. When component_map / token_map report staleOverrides (a recorded target that no longer resolves — the file/token was renamed or deleted), the join has already degraded to the fuzzy result; fix that row to the new target or delete it.

Responsive & verify

  • Responsive by default — root is w-full, never the artboard's fixed width; ground breakpoints from the file's other-width frames. → references/responsive.md.
  • Verify visually before you call it done — render with the project's toolchain, screenshot at the design's viewport, diff against the Figma node, fix at the source. → references/verify.md.

Motion (animation)

Call get_motion_context once on every root you implement: it inventories every Motion source in the subtree (instance children included) and says what it could not read. Only coverage.status: "complete" with no nodes means nothing animates — the motion summary in get_design_context is a hint that dedupe and budget can drop. Implement what it returns with the project's own animation mechanism, read it with the measured rules in the reference, treat anything neither states (how tracks combine, loop, trigger) as your assumption and say so, and verify the result against the source. Dropping a frame's animation is a fidelity miss, the same class as dropping a shadow. → references/motion.md.

Rules

  • Ground every section — never eyeball a value off the screenshot. Every px size, colour, font-size, radius, and spacing comes from get_design_context, for every section. The screenshot is visual intent only; guessing "the easy sections" is the cardinal miss. On a page too big to ground at once, scope by section nodeId — never depth-cap the whole page, never retry an oversized call.
  • Reuse beats regenerate. A high/medium component_map candidate must be imported and used.
  • Reference tokens, not literals. Emit a mapped variable's ref; reserve raw values for unmapped gaps, and surface those gaps rather than burying them.
  • Carry every visual property, don't drop fidelity. Effects, per-side borders + strokeAlign, per-corner radius, blend mode, masks, gradients, image scaleMode, and auto-layout/grid spacing are all in the context — translate each (the catalog is in references/grounding.md). Dropping any is a grounding miss, not a simplification.
  • Export visual assets, don't fake them. A grey box or a hand-typed wordmark is a miss.
  • Match the project, not a house style. Mirror the existing import style, file layout, and naming.
  • Spell class names in full; don't assemble them from &. In a language whose & concatenates (SCSS / Sass / Less / Stylus / postcss-nested) .card { &__title {} } compiles to .card__title — a name that exists only after compilation, so the class the markup carries appears nowhere in the source and adjusting one rule means searching a fragment like __title and reading every hit. Declare it flat at the top level instead. profile.styling.classNaming (on component_map / token_map) reports the project's own habit and the project wins: ampersand → write &__title; flat or absent → write flat. → references/stylesheets.md for the descendant-selector trap that looks like the fix and isn't, and what & is still the right tool for.
  • Render and verify before you call it done. (See references/verify.md.)
  • Never write a config file or wizard prompt; everything is inferred from the project + the tools.

© awdr74100, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in skills/figma-codegen of awdr74100/figwright.

  • SKILL.md
  • references/assets-and-icons.md
  • references/grounding.md
  • references/motion.md
  • references/responsive.md
  • references/stylesheets.md
  • references/verify.md

Open the folder on GitHubat commit a92d602

Compare with similar skills

Figma Codegen next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Figma Codegen compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Figma Codegen this skillawdr74100/figwright977—~4.2kAutomated safety check: PassMIT
Frontend UI Foundryjiushiwon/wg-skills110—~1.4kAutomated safety check: PassApache-2.0
Design Code for Any Frameworkplugin87/ux-ui-agent-skills1.5k—~1.7kAutomated safety check: PassMIT
Cm Frontend Engineerkingxiaozhe/cm-workflow104—~829Automated safety check: PassMIT
Figma use_figma Plugin API Ruleswarpdotdev/warp65k4 repos~4.4kAutomated safety check: PassAGPL-3.0
Figma Design to Codewarpdotdev/warp65k4 repos~2.9kAutomated safety check: PassAGPL-3.0

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Questions about Figma Codegen

What does Figma Codegen do?

Generate framework-aware code from a Figma design. An agent skill from awdr74100/figwright. Figma Codegen is an agent skill from awdr74100/figwright. Generate framework-aware code from a Figma design.

When should I use Figma Codegen?

Figma Codegen fits situations like: ever the user wants a Figma design turned into code — e.g; tasks that involve Project scaffolding; tasks that involve Design to code.

How do I install Figma Codegen in Claude Code?

Run `npx skills add awdr74100/figwright --skill figma-codegen -a claude-code`. Or copy the skill folder (skills/figma-codegen in awdr74100/figwright) into .claude/skills/figma-codegen in your project. Claude Code loads it when a task matches its description.

How do I install Figma Codegen in Codex?

Run `npx skills add awdr74100/figwright --skill figma-codegen -a codex`. Or copy the skill folder (skills/figma-codegen in awdr74100/figwright) into .agents/skills/figma-codegen in your project. Codex loads it when a task matches its description.

Can I use Figma Codegen in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add awdr74100/figwright --skill figma-codegen -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/figma-codegen, .gemini/skills/figma-codegen, .github/skills/figma-codegen and .opencode/skills/figma-codegen in your project.

What does Figma Codegen need to run?

SKILL.md names no scripts, command-line tools or credentials: Figma Codegen is instructions for the agent only.

Does Figma Codegen access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Figma Codegen safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Figma Codegen use?

Figma Codegen is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Figma Codegen use?

About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.

What are the alternatives to Figma Codegen?

Skills that share tags, products or a category with Figma Codegen: Frontend UI Foundry (jiushiwon/wg-skills, 110 stars), Design Code for Any Framework (plugin87/ux-ui-agent-skills, 1.5k stars), Cm Frontend Engineer (kingxiaozhe/cm-workflow, 104 stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Figma Codegen?

awdr74100 (a GitHub user) maintains it in awdr74100/figwright, which has 977 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 7, 2026.

Source: awdr74100/figwright on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.