CONTENT CREATION

Weekly localized store-listing screenshot refresh from latest build

On a weekly schedule, regenerates the full set of localized app-store screenshots from the current Figma source and uploads versioned PNGs to S3 for the store-listing pipeline.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionRead locale registry + current copy tableAirtableAirtable
  • ActionPopulate Figma frames per locale and export PNGsFigmaFigma
  • LogicRename files with locale + ISO date version
  • ActionUpload versioned renders to S3 prefixAWS S3
  • OutputPost locale counts + manifest path to SlackSlack

What it does

Keeps every market's store screenshots current with the latest design. Once a week it re-renders the entire localized set from the live Figma source and publishes dated, versioned files so the store-listing automation always pulls fresh assets.

When to use it

Use it when your product UI changes often enough that store screenshots drift stale between manual refreshes. The schedule guarantees a predictable weekly snapshot across all locales without anyone remembering to kick it off.

How it works

  1. 1A weekly schedule fires the run.
  2. 2The flow reads the locale registry and current copy table from Airtable.
  3. 3For each locale it populates the Figma source frames with translated strings and exports PNGs.
  4. 4Files are renamed with the locale and an ISO date stamp for versioning.
  5. 5Versioned renders are uploaded to an S3 prefix the store-listing pipeline watches.
  6. 6A summary of locale counts and the S3 manifest path is posted to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FigmaFiles, frames, comments, assets.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect AWS S3Buckets, objects, signed URLs.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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