Tagging is the chore everyone skips, so related posts stop linking and topic pages go thin. This automation reads the semantics of each post and applies the tags that actually describe it.
sonnet3 daysWordPress REST APIOpenAI embeddingsn8nPostgres tag store
Claude
70ROI
62Scale
$2.8k90Saved
ROI for
README.md
Why this subagent
Tagging is the chore everyone skips, so related posts stop linking and topic pages go thin. This automation reads the semantics of each post and applies the tags that actually describe it.
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.
Extract candidate topics and entities, then match them against your existing tag vocabulary.
pending
Score each candidate by relevance and keep only tags above your confidence threshold.
pending
Attach the final tags to the post through the REST API and log any new ones for review.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
Return 3 to 7 tags as a JSON array, reusing existing tags where possible and proposing new ones only when nothing fits.
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.