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Skill

/plannotator-last

Open Plannotator on the latest rendered assistant message and use the returned annotations to revise that message or continue.

From plugin
plannotator
7.6k11 skills3 commands
Install
$ npx -y skills add backnotprop/plannotator --skill plannotator-last --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/plannotator-last

Context preview

The summary Claude sees to decide when to auto-load this skill.

Open Plannotator on the latest rendered assistant message and use the returned annotations to revise that message or continue.

SKILL.md

plannotator-last.SKILL.md
name: plannotator-last
description: Open Plannotator on the latest rendered assistant message and use the returned annotations to revise that message or continue.
allowed-tools: Bash(plannotator:*)
disable-model-invocation: true

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.

Ships withplannotator

Plannotator is a local, browser-based review surface for AI coding agents: Claude Code, Codex, Copilot CLI, Gemini CLI, OpenCode, Kiro, Droid, Amp, and Pi. It plugs directly into your agent through its hooks and commands.

Get the whole plugin