DOCUMENT OPS

Bundle a Figma frame's spec into a versioned Dropbox handoff packet

When a designer marks a Figma frame ready, this exports the frame image plus its variables and layout metadata, writes a Markdown spec sheet.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFigma frame tagged 'ready for handoff'FigmaFigma
  • ActionFetch frame metadata and variable defsFigmaFigma
  • ActionRender high-res PNG export of the frameFigmaFigma
  • LogicResolve next version number for this frame
  • ActionCompose Markdown spec sheet with token table
  • OutputUpload packet to /handoffs/<frame>/v<n> in DropboxDropboxDropbox

What it does

Turns a single 'ready for dev' Figma frame into a self-contained handoff packet — a PNG export, a Markdown spec sheet listing every design token and measurement, and a manifest — all written to a date-stamped version folder in Dropbox so engineers always pull from one canonical source.

When to use it

Use it when your team hands designs to engineering through Dropbox rather than living in Figma, and you want each handoff frozen as an immutable, versioned snapshot instead of a moving link.

How it works

  1. 1A Figma webhook fires when a frame is tagged ready for handoff.
  2. 2The flow pulls the frame's metadata and variable definitions (colors, spacing, type) from Figma.
  3. 3It renders a high-resolution PNG export of the frame.
  4. 4A spec sheet is composed in Markdown that pairs the image with a token and measurement table.
  5. 5The packet is checked: if a folder for today's version already exists, the version number increments.
  6. 6The PNG, spec, and a manifest are uploaded to a new `/handoffs/<frame>/v<n>` folder in Dropbox.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FigmaFiles, frames, comments, assets.
  2. 2
    Connect DropboxFiles and folders.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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