Word-for-word translation reads like a robot and turns local readers off. This rewrites one source post into several locales the way a native writer would.
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README.md
Why this subagent
Word-for-word translation reads like a robot and turns local readers off. This rewrites one source post into several locales the way a native writer would.
It swaps in local examples, fixes dates and currency, and keeps brand names intact, then publishes each version and links them. You reach new markets with copy that does not sound translated.
How it runs
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
Produce a native version for each target locale, adapting examples to local context.
pending
Localize formatting such as dates, currency, and units for each region.
pending
Publish each locale as its own post and link them as language alternates.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
Translate the post into the target locale as a native writer would; adapt examples and currency, never translate brand names.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.