What is dx-figma-prototype?

A prototype generator that turns extracted Figma design data into a standalone HTML and CSS page while following the project's frontend conventions.

Use it after Figma extraction to research project styles and produce prototype files for later development work.

It creates a concrete visual reference for implementation and helps keep the result close to the original design.

dx-figma-prototype — Skill for Claude Code by easingthemes/dx-aem-flow

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/easingthemes/dx-aem-flow

agentmods

npx agentmods add skills/easingthemes/dx-aem-flow/dx-figma-prototype

Made for: Claude Code.

Or install dx-core, the plugin that ships this one along with the rest of its 49 skills, 7 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/dx-figma-prototype/github.svg)](https://agentmods.dev/skills/easingthemes/dx-aem-flow/dx-figma-prototype)

Your own site

<a href="https://agentmods.dev/skills/easingthemes/dx-aem-flow/dx-figma-prototype"><img src="https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/dx-figma-prototype/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/easingthemes/dx-aem-flow/dx-figma-prototype"><img src="https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/dx-figma-prototype.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,810 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00048	$0.02810
Opus 5.5	$0.00019	$0.01124
Sonnet 5.5	$0.00010	$0.00562
Haiku 4.5	$0.00005	$0.00281

Measured 2d ago against content hash afb61ec8d80a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dx-figma-prototype scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/scaffold-prototype.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/dx-core/skills/dx-figma-prototype/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You research the consumer project's frontend conventions, then generate a standalone high-fidelity HTML/CSS prototype that replaces Figma as the visual reference for all downstream implementation steps.

Use ultrathink for prototype generation — mapping design tokens to project conventions and producing pixel-accurate output requires deep reasoning.

1. Locate the Spec Directory

SPEC_DIR=$(bash .ai/lib/dx-common.sh find-spec-dir $ARGUMENTS)

If the script exits with error, ask the user for the work item ID.

2. Check Prerequisites

$SPEC_DIR/figma-extract.md MUST exist. If not: print figma-extract.md not found — run /dx-figma-extract first and STOP.
Read figma-extract.md to confirm it has content.

3. Check Existing Output

If $SPEC_DIR/figma-conventions.md AND $SPEC_DIR/prototype/index.html both exist:
Check if figma-extract.md changed since prototype was generated
If unchanged → print prototype already up to date — skipping and STOP
If stale → continue (regenerate)

4. Phase A — Conventions Research

Launch three subagents in parallel using the Agent tool:

Subagent 1 — Styles (dx-figma-styles):

Agent tool:
  subagent_type: dx-core:dx-figma-styles
  prompt: |
    Discover CSS/SCSS conventions for this project.
    spec_dir: <$SPEC_DIR>

    Figma design tokens to map against (from figma-extract.md):
    <paste the Design Tokens section from figma-extract.md>

    Return the full Styles Conventions report.

Subagent 2 — Markup (dx-figma-markup):

Agent tool:
  subagent_type: dx-core:dx-figma-markup
  prompt: |
    Discover HTML and accessibility conventions for this project.
    spec_dir: <$SPEC_DIR>
    component_name: <component name from figma-extract.md>

    Return the full Markup Conventions report.

Subagent 3 — Component Reuse (dx-figma-components):

Agent tool:
  subagent_type: dx-core:dx-figma-components
  prompt: |
    Analyze the Figma design and find existing codebase components to reuse.
    spec_dir: <$SPEC_DIR>

    Figma design reference (from figma-extract.md):
    <paste the Reference Code section and component name from figma-extract.md>

    Identify every UI building block in the design (buttons, images, cards, inputs, etc.)
    and search the codebase for existing components that match. Return the Component Reuse Map.

Read the full file on GitHub · 242 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2d ago Changed · -1 lines · -33 tokens per session afb61ec8d80a
19d ago Changed · -2 lines 9dc0cf185cf7
1mo ago First seen · 245 lines · 81 tokens per session scan A 7528cb3fa72c

Subscribe to this mod's changes

dx-figma-prototype is a skill published in the GitHub repository easingthemes/dx-aem-flow (6 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 2,810 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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