CONTENT CREATION
Weekly localization coverage digest from the Coda spec
On a weekly schedule, audits which product-page locales are up to date versus stale or missing in GitHub and sends a coverage report to the team so gaps get prioritized.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule starts the audit
- ActionRead expected locale matrix from CodaCoda
- ActionList committed variant files and compare timestampsGitHub
- ActionSummarize gaps into a prioritized digest with OpenAIOpenAI
- OutputDeliver coverage digest to SlackSlack
What it does
Gives the team a recurring read on localization health. It compares every locale the spec expects against what actually exists and is current in the repo, then summarizes the gaps.
When to use it
When you manage many pages across many locales and need a standing answer to "what's missing and what's gone stale" without manually crawling the repo each week.
How it works
- 1A weekly schedule kicks off the audit.
- 2The flow reads the expected locale matrix and last-updated timestamps from the Coda spec.
- 3It lists the committed variant files in GitHub and compares timestamps to detect missing or stale locales.
- 4OpenAI turns the raw gap list into a short prioritized digest with a recommended next action per gap.
- 5The digest is delivered to the localization team channel in Slack.
Set it up
What you configure once, before turning it on.
- 1Connect CodaDocs, packs, automations.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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