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Reference Interpreter

Community
senlindesign
reference-interpreter

Triggers when user shares a screenshot, image, URL, or design description — or says 'analyze this', 'make a brief', 'interpret this reference'. Outputs a structured Design Brief mapping visual intent to design system tokens. Waits for 'confirmed' before designing.

Overview

Publishersenlindesign
Repositoryclaude2figma
Skill namereference-interpreter
Stars
206
Forks
17
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by senlindesign on GitHub. Read the source before you install it.

Installation

Install the Reference Interpreter AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/senlindesign/claude2figma/tree/main/.claude/skills/reference-interpreter
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/senlindesign/claude2figma.git /tmp/claude2figma
mkdir -p .claude/skills
cp -r /tmp/claude2figma/.claude/skills/reference-interpreter .claude/skills/reference-interpreter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reference Interpreter in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Reference Interpreter on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Reference Interpreter is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Reference Interpreter

Analyze a reference (screenshot, URL, or description) and produce a Design Brief that maps visual observations to design system tokens. Output the Brief, then stop and wait for user confirmation before building anything.

Prerequisite: figma-preflight should have run so the Token Map and Style Registry are available.


Phase 1 — Analyze

Examine the reference across these dimensions:

  1. Layout — structure, columns, section heights, grid width, alignment
  2. Typography — heading/body hierarchy, weight contrast, tracking
  3. Color — dark/light sections, accent usage, neutral dominance
  4. Spacing — generous vs compact, section padding, internal gap
  5. Visual Anchor — what draws the eye: large type, hero image, illustration
  6. Components — what UI elements are visible: cards, buttons, forms, nav

Phase 2 — Map to Design System

For each observation, identify the specific Token or Style from the session's Token Map:

"Large dark headline" → Text Style: heading/h1 · Color: text/primary
"Neutral section bg"  → Variable: background/surface-2
"Tight card spacing"  → Gap: gap/xs · Padding: padding/sm

If no token exists, flag it:

⚠️ Gap: [observation] — no matching token. Options: (a) nearest match: [name], (b) add token first.

Phase 3 — Output the Design Brief

## Design Brief

**Reference**: [source]
**Section**: [what this covers]
**Aesthetic**: [3-5 keywords]

### Layout
[structure, height, alignment]

### Typography
- Heading: [Style name] — [why]
- Body: [Style name]

### Colors
- Background: [Variable] — [context]
- Text: [Variable]
- Accent: [Variable] — [used for]

### Spacing
- Section padding: [Variable]
- Internal gap: [Variable]

### Components needed
- [Name]: [from library? source]

### Gaps
- [Gap description] — awaiting decision
- (none) [if all mapped]

Phase 4 — Wait

Output exactly:

Brief complete. Type `confirmed` to begin building, or tell me what to adjust.

Do NOT call use_figma or place any nodes until user types confirmed.

Frequently asked questions

What does the Reference Interpreter AI skill do?

Triggers when user shares a screenshot, image, URL, or design description — or says 'analyze this', 'make a brief', 'interpret this reference'. Outputs a structured Design Brief mapping visual intent to design system tokens. Waits for 'confirmed' before designing.

Why use Reference Interpreter on TypingMind?

Because you install it once and use it with any model. Reference Interpreter is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Reference Interpreter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/senlindesign/claude2figma/tree/main/.claude/skills/reference-interpreter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Reference Interpreter?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Reference Interpreter?

As many as you like. As long as a model supports skills, you can use Reference Interpreter with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Reference Interpreter AI skill free?

Yes. It is published on GitHub by senlindesign under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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