Plannotator Annotate logo

Plannotator Annotate

CommunityPopular
backnotprop
plannotator-annotate

Open Plannotator's annotation UI for a markdown file, plain-text config file (.yaml, .json, .toml, .ini, .csv, .log, …), HTML file, URL, or folder and then respond to the returned annotations.

Overview

Publisherbacknotprop
Repositoryplannotator
Skill nameplannotator-annotate
Stars
8.8K
Forks
658
Bundled files
1
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by backnotprop on GitHub. Read the source before you install it.

Installation

Install the Plannotator Annotate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/backnotprop/plannotator.git /tmp/plannotator
mkdir -p .claude/skills
cp -r /tmp/plannotator/apps/skills/core/plannotator-annotate .claude/skills/plannotator-annotate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plannotator Annotate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Plannotator Annotate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Plannotator Annotate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Plannotator Annotate

Use this skill when the user wants to annotate a document in Plannotator instead of reviewing it inline in chat.

Run for ordinary annotation/feedback:

bash
plannotator annotate <path-or-url>

Run when the user asks to review, approve, accept, or gate a generated plan/spec/document:

bash
plannotator annotate <path-or-url> --gate --json

Plain annotate has no Approve button; it only supports feedback or closing the session. Never promise an approval action unless --gate is present. --json only changes the output format and does not enable approval by itself.

Behavior:

  1. Launch the command with Bash.
  2. Wait for the browser review to finish.
  3. If annotations are returned, address them directly.
  4. If the session closes without feedback, say so briefly and continue.
  5. In a --gate --json session, an approval may still carry notes — a "decision": "approved" result with a "feedback" field. Read those notes and carry them into subsequent work, but do not revise the document over them: they are guidance, not a change request.
  6. If the command reports that the arguments could not be resolved to a file, URL, or folder, work out which target the user means and re-run the command yourself with that concrete path or URL.

Do not ask the user to paste a shell command into the chat. Run the command yourself.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Plannotator Annotate AI skill do?

Open Plannotator's annotation UI for a markdown file, plain-text config file (.yaml, .json, .toml, .ini, .csv, .log, …), HTML file, URL, or folder and then respond to the returned annotations.

Why use Plannotator Annotate on TypingMind?

Because you install it once and use it with any model. Plannotator Annotate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Plannotator Annotate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backnotprop/plannotator/tree/main/apps/skills/core/plannotator-annotate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Plannotator Annotate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Plannotator Annotate?

As many as you like. As long as a model supports skills, you can use Plannotator Annotate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Plannotator Annotate AI skill free?

Yes. It is published on GitHub by backnotprop under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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