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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
8.7k7 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

Other skills on plannotator.