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Example Skill

Organization
AmadeusITGroup
example-skill

Performs thorough code reviews following best practices. Use when reviewing pull requests, checking code quality, or ensuring coding standards compliance.

Overview

PublisherAmadeusITGroup
Repositoryai-primitives-hub
Skill nameexample-skill
Stars
51
Forks
30
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Example Skill 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/AmadeusITGroup/ai-primitives-hub/tree/main/apps/vscode-extension/templates/scaffolds/github/skills/example-skill
  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/AmadeusITGroup/ai-primitives-hub.git /tmp/ai-primitives-hub
mkdir -p .claude/skills
cp -r /tmp/ai-primitives-hub/apps/vscode-extension/templates/scaffolds/github/skills/example-skill .claude/skills/example-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Example Skill 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 Example Skill 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 Example Skill 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.

Code Review Skill

This skill helps you perform thorough, consistent code reviews following industry best practices and your team's coding standards.

When to Use This Skill

Use this skill when you need to:

  • Review pull requests or merge requests
  • Check code quality and identify potential issues
  • Ensure compliance with coding standards
  • Provide constructive feedback to developers
  • Identify security vulnerabilities or performance issues

Review Process

1. Initial Assessment

Before diving into details, understand the context:

  • Read the PR description and linked issues
  • Understand the purpose and scope of changes
  • Check if tests are included

2. Code Quality Checks

Review the code using the checklist:

  • Correctness: Does the code do what it's supposed to do?
  • Readability: Is the code easy to understand?
  • Maintainability: Will this be easy to modify in the future?
  • Performance: Are there any obvious performance issues?
  • Security: Are there any security vulnerabilities?

3. Run Automated Checks

Use the provided scripts to automate common checks:

bash
# Run the review helper script
./scripts/review-helper.sh <path-to-file>

4. Provide Feedback

Follow the feedback guidelines for constructive comments:

  • Be specific and actionable
  • Explain the "why" behind suggestions
  • Distinguish between required changes and suggestions
  • Acknowledge good practices

Common Patterns to Watch For

Security Issues

  • Hardcoded credentials or secrets
  • SQL injection vulnerabilities
  • Cross-site scripting (XSS) risks
  • Insecure deserialization
  • Missing input validation

Performance Issues

  • N+1 query problems
  • Unnecessary loops or iterations
  • Missing caching opportunities
  • Large memory allocations
  • Blocking operations in async code

Code Smells

  • Functions that are too long (>50 lines)
  • Too many parameters (>4)
  • Deep nesting (>3 levels)
  • Duplicated code
  • Magic numbers or strings

Templates

Use the comment templates for consistent feedback:

  • [REQUIRED] - Must be fixed before merge
  • [SUGGESTION] - Nice to have, not blocking
  • [QUESTION] - Seeking clarification
  • [PRAISE] - Acknowledging good work

Example Review Comments

Good Example

[SUGGESTION] Consider extracting this logic into a separate function 
for better testability. The current implementation mixes data fetching 
with business logic, making it harder to unit test.

Bad Example

This is wrong.

Best Practices

  1. Review in small batches - Don't try to review 1000+ lines at once
  2. Take breaks - Fresh eyes catch more issues
  3. Use checklists - Ensure consistency across reviews
  4. Be timely - Don't block teammates for too long
  5. Learn continuously - Each review is a learning opportunity

Resources

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 Example Skill AI skill do?

Performs thorough code reviews following best practices. Use when reviewing pull requests, checking code quality, or ensuring coding standards compliance.

Why use Example Skill on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AmadeusITGroup/ai-primitives-hub/tree/main/apps/vscode-extension/templates/scaffolds/github/skills/example-skill. 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 Example Skill?

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 Example Skill?

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

Is the Example Skill AI skill free?

It is published on GitHub by AmadeusITGroup. Check the repository for licensing terms. 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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