DOCUMENT OPS

Alert on deprecated components still in use across Figma files

When a component is marked deprecated in the Coda catalog, finds every Figma file still using it and opens a GitHub issue with the migration list so the deprecation actually lands.

CategoryDocument Ops
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerCoda row marked deprecatedCodaCoda
  • ActionSearch Figma files for instances of the componentFigmaFigma
  • LogicCompile usage list; skip if no instances remain
  • ActionOpen GitHub migration tracking issueGitHubGitHub
  • OutputPost issue link to Slack and stamp Coda rowSlack

What it does

Turns a deprecation flag into action. When an operator marks a component `deprecated` in the Coda catalog, the flow searches your Figma files for live instances of that component, builds a list of files and frames still using it, and opens a tracking GitHub issue so the cleanup is owned and visible.

When to use it

Use it when deprecating a component is a decision but never a finished task — the old variant lingers in product mocks for months. This closes the loop by naming exactly where the deprecated component still lives and assigning the migration as real work.

How it works

  1. 1A Coda row update where `lifecycle` changes to `deprecated` triggers the flow.
  2. 2The flow reads the deprecated component's key from the changed row.
  3. 3It queries Figma for files and nodes that still instance that component.
  4. 4A logic step compiles the usage list and skips firing if there are zero remaining instances.
  5. 5It opens a GitHub issue titled with the component name, listing every file and a link to migrate.
  6. 6It posts the issue link to Slack and stamps the Coda row with the open issue URL.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect CodaDocs, packs, automations.
  2. 2
    Connect FigmaFiles, frames, comments, assets.
  3. 3
    Connect GitHubRepos, issues, pull requests, actions.
  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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