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Review

Organization
devoxx
review

Review local code changes for bugs, regressions, missing tests, and pragmatic improvements. Use when the user asks to review the current changes from `git status`, or to review a specific backlog task by id such as `task-65` or `TASK-65`. Also trigger when the user says things like "review", "review current changes", "check my changes", "look over the diff", or "review task-42".

Overview

Publisherdevoxx
RepositoryDevoxxGenieIDEAPlugin
Skill namereview
Stars
684
Forks
103
Bundled files
Instructions only
LicenseMIT
Links
  • 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 devoxx 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.

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.
    https://github.com/devoxx/DevoxxGenieIDEAPlugin/tree/master/.claude/skills/review
  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/devoxx/DevoxxGenieIDEAPlugin.git /tmp/DevoxxGenieIDEAPlugin
mkdir -p .claude/skills
cp -r /tmp/DevoxxGenieIDEAPlugin/.claude/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.

Review

Overview

Review the current local changes or the implementation tied to a backlog task id and report concrete findings, not a changelog. Treat this as a code review unless the user explicitly asks for edits.

Workflow

  1. Resolve the review target. If the prompt includes a backlog task id, locate the task markdown in backlog/tasks/ first, then backlog/completed/ if needed. Read the description, acceptance criteria, and referenced files. If no task id is given, start from git status --short and review the current local changes directly.

  2. Build review scope from local context. Check git status --short, inspect the diff for files related to the task, and read surrounding code where behavior is affected. Prefer rg and targeted git diff -- <path> over broad scans.

  3. Review for defects and regressions. Prioritize:

  • broken behavior versus the task intent
  • stale callers or UI paths left behind after refactors
  • contract mismatches across main/preload/renderer/shared code
  • silent failure handling and misleading fallback behavior
  • missing or weak tests for the changed behavior
  • unnecessary performance regressions or duplicate work
  1. Verify when useful. Run focused tests for the touched area if they are available and cheap. Mention clearly when verification is blocked or when broader typecheck/test failures are unrelated.

Output

Report findings first, ordered by severity. For each finding:

  • state the severity
  • describe the bug/risk or improvement
  • include clickable file references with line numbers when available
  • explain the user-visible or maintenance impact briefly

After findings, include:

  • open questions or assumptions if any
  • a brief note on verification performed

If no findings are discovered, say that explicitly and mention residual risk or missing coverage.

Prompt Shape

Interpret prompts like review, review current changes, or review the changes from git status as a request to review the current working tree. Interpret prompts like task-56, review task-56, or review task-56 and report any issues/bugs or possible improvements as a review of the local changes associated with that task.

Frequently asked questions

What does the Review AI skill do?

Review local code changes for bugs, regressions, missing tests, and pragmatic improvements. Use when the user asks to review the current changes from `git status`, or to review a specific backlog task by id such as `task-65` or `TASK-65`. Also trigger when the user says things like "review", "review current changes", "check my changes", "look over the diff", or "review task-42".

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/devoxx/DevoxxGenieIDEAPlugin/tree/master/.claude/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 devoxx 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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