DOCUMENT OPS

Draft an engineering spec from a Figma frame and publish to Coda and Dropbox

An agent reads a Figma frame's layers, tokens, and annotations, writes a plain-English implementation spec with acceptance criteria, publishes it as a Coda page.

CategoryDocument Ops
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHandoff request webhook with frame URLHTTP webhook
  • ActionFetch frame node tree, tokens, annotationsFigmaFigma
  • LogicAgent drafts spec with acceptance criteria
  • ActionPublish spec as a Coda pageCodaCoda
  • OutputArchive spec PDF to /specs in DropboxDropboxDropbox

What it does

Translates a design frame into something an engineer can build from. An agent inspects the frame's structure, design tokens, and designer annotations, then writes an implementation spec — component breakdown, states, spacing rules, and acceptance criteria — publishes it as a live Coda page and archives a PDF copy to Dropbox.

When to use it

Use it when designers hand off frames without written specs and engineering wastes time reverse-engineering intent. The agent produces a first-draft spec your team edits rather than authors from scratch.

How it works

  1. 1A handoff request webhook provides the Figma frame URL.
  2. 2The agent fetches the frame's node tree, variable definitions, and annotations from Figma.
  3. 3It reasons over the layout to draft a structured spec with component states and acceptance criteria.
  4. 4The draft is published as a new Coda page in the engineering spec doc.
  5. 5A PDF rendering of the spec is generated and archived to the `/specs` folder in Dropbox.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FigmaFiles, frames, comments, assets.
  2. 2
    Connect CodaDocs, packs, automations.
  3. 3
    Connect DropboxFiles and folders.
  4. 4
    Connect HTTP webhookTrigger any URL on agent actions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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