Review

Organization

team-attention

review

Interactive markdown review with web UI. Use when user says "review this", "check this plan", "피드백", "검토해줘" or specifies a file path to review.

Overview

Publisher	team-attention
Repository	`plugins-for-claude-natives`
Skill name	`review`
Stars	827
Forks	106
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by team-attention on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/team-attention/plugins-for-claude-natives/tree/main/plugins/interactive-review/skills/review
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/team-attention/plugins-for-claude-natives/tree/main/plugins/interactive-review/skills/review

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/team-attention/plugins-for-claude-natives.git /tmp/plugins-for-claude-natives
mkdir -p .claude/skills
cp -r /tmp/plugins-for-claude-natives/plugins/interactive-review/skills/review .claude/skills/review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review 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 Review 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 Review 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.

Interactive Review Skill

This skill opens an interactive web UI where users can review content with checkboxes and comments.

How It Works

Determine the content source:
- If user specifies a file path: Use the Read tool to get the file contents
- If user provides content directly: Use that content as-is
- Otherwise: Collect the most recent relevant content from the conversation
Call mcp__interactive_review__start_review with the content
A browser window opens automatically with the review UI
User reviews each item:
- Check/uncheck to approve/reject
- Add optional comments
User clicks Submit
Process the feedback and respond accordingly

Content Sources (Priority Order)

Explicit file path: User says "review /path/to/file.md" or "이 파일 리뷰해줘: README.md"
- Read the file using Read tool and use its contents
Direct content: User provides or references specific content to review
- Use the provided content directly
Conversation context: Extract relevant content from recent conversation
- Plans, documents, code, etc. that were recently discussed

Usage

When the user wants to review content:


# If file path is specified, read it first:
Read({ "file_path": "/path/to/file.md" })

# Then start the review:
mcp__interactive_review__start_review({
  "content": "<content from file or conversation>",
  "title": "<descriptive title>"
})

Processing Results

The tool returns a JSON with review items. Handle each item based on:

checked	comment	Action
true	empty	Approved - proceed as planned
true	has text	Approved with note - consider the feedback
false	has text	Rejected - modify according to comment
false	empty	Rejected - remove or reconsider this item

Example Flow

User: "Review this implementation plan"

Extract the plan content from recent output
Call start_review with the content
Wait for user feedback (tool blocks until submit)
Present summary of feedback
Ask if user wants you to proceed with approved items or revise rejected items

Response Template

After receiving feedback:


## Review Summary

**Approved**: X items
**Needs revision**: Y items

### Items requiring changes:
- [Item]: [User's comment]

Would you like me to:
1. Proceed with approved items
2. Revise the rejected items based on feedback
3. Both - revise then proceed

Frequently asked questions

What does the Review AI skill do?

Interactive markdown review with web UI. Use when user says "review this", "check this plan", "피드백", "검토해줘" or specifies a file path to review.

Why use Review on TypingMind?

Because you install it once and use it with any model. Review 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 Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/team-attention/plugins-for-claude-natives/tree/main/plugins/interactive-review/skills/review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Review?

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 Review?

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

Is the Review AI skill free?

Yes. It is published on GitHub by team-attention under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Interactive Review Skill

How It Works

Content Sources (Priority Order)

Usage

Processing Results

Example Flow

Response Template

Frequently asked questions

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