CONTENT CREATION
Fan out merged changelog entries to per-locale draft notes
When a changelog file is updated on the main branch, translate each new entry into your target locales and post the drafts to a review channel for human approval before publishing.
How it runs
The automated pipeline, trigger to output.
- TriggerPush to default branch touches CHANGELOGGitHub
- ActionDiff changelog and extract newly added entriesGitHub
- LogicStop if no customer-facing entries were added
- ActionRewrite and translate each entry per localeOpenAI
- OutputPost localized drafts to Slack review channelSlack
What it does
Watches your repository's CHANGELOG for merges to the default branch, extracts the newly added entries, and produces a customer-facing release note in each of your configured locales. Every translation lands in a review channel as a draft — nothing reaches customers until a human approves it.
When to use it
Use this when engineering merges raw, terse changelog lines ("fix: null pointer in invoice export") and you need polished, localized customer notes without manually rewriting and translating each one. Ideal for teams shipping to multiple regions who keep a single source-of-truth changelog.
How it works
- 1A push to the default branch that touches the changelog file triggers the flow.
- 2The flow diffs the changelog and isolates only the lines added in this push.
- 3If no customer-relevant entries were added (e.g. only internal/chore lines), the run stops.
- 4An LLM rewrites each entry into friendly customer copy, then translates it into every target locale.
- 5Each localized draft is posted to a Slack review channel with approve/reject context and a link back to the merge.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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