DOCUMENT OPS

Nightly Figma library to Coda component catalog sync

Every night, pulls all published components from your Figma team libraries and upserts them into a Coda table so the catalog always reflects the live design system.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule fires
  • ActionList published components from Figma librariesFigmaFigma
  • LogicNormalize and dedupe records by component key
  • ActionUpsert each component into Coda catalog tableCodaCoda
  • OutputPost added/updated summary to SlackSlack

What it does

Keeps a Coda table in lockstep with your Figma design system. Each night it reads every published component and component set across your team libraries, captures key metadata (name, key, containing file, last-modified, description), and upserts each one into a Coda table keyed by component key. New components are added, renamed or moved ones are updated, and a `last_synced` timestamp is stamped on every row.

When to use it

Use it when your component inventory lives in a spreadsheet that goes stale the moment a designer ships a change. Good for design-system teams who want a single source of truth in Coda for docs links, owners, and adoption notes without anyone hand-copying from Figma.

How it works

  1. 1A nightly schedule fires the run.
  2. 2The flow calls Figma to list published components and component sets across the configured library files.
  3. 3For each component it builds a normalized record (key, name, file, node id, description, updated-at).
  4. 4It upserts every record into the Coda catalog table, matching on component key so edits update in place rather than duplicating.
  5. 5A short summary (added / updated / total) is posted to Slack so the team sees the catalog moved.

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 SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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