plannotator-last
Open Plannotator on the latest rendered assistant message and use the returned annotations to revise that message or continue.
Profile →npx skills add backnotprop/plannotator --skill plannotator-last --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Plannotator Last ## Message annotations !`plannotator annotate-last $ARGUMENTS` ## Your task The output above will be one of: 1. The exact text `The user approved.`, OR a JSON object with `"decision": "approved"`. The user approved your last message. If that object also carries a `"feedback"` field, the user approved *with notes*: read them and carry them into subsequent work — they are non-blocking guidance, not a request to revise the message. Otherwise acknowledge with a single sentence ("Approved.") and stop. Either way, do not begin any work. 2. Empty, OR a JSON object with `"decision": "dismissed"`. The user closed the session without requesting changes. Acknowledge with a single sentence ("Annotation session closed.") and stop. Do not begin any work. 3. Plaintext annotation feedback, OR a JSON object with `"decision": "annotated"` and a `"feedback"` field. Address the feedback. The user has reviewed your last message and provided specific annotations and comments.
- Message annotations
- Your task
What does the plannotator-last skill do?
Open Plannotator on the latest rendered assistant message and use the returned annotations to revise that message or continue.
How do I install it?
Run `npx skills add backnotprop/plannotator --skill plannotator-last --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From backnotprop/plannotator, a repository with 7,510 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.