Discover a curated repository of specialized skills for AI coding agents, enhancing productivity and efficiency in development tasks. This collection, created by Yuval Avidani, is designed to help developers using AI tools like GitHub Copilot and others.
claude install hoodini/ai-agents-skillsAgent Skills Repository is a collection of 15+ integrated skills designed for AI coding agents to streamline creative and development tasks. The skills are organized in a three-tier pyramid architecture, with yuv-pilot orchestrating intent routing to specialized tools like yuv-decks for presentations, yuv-viral-video for short-form content, parallax-landing-page for cinematic websites, and video-edit for caption and transcript workflows. Installation is a single command that sets up the full stack with ffmpeg, Node, Python, and cross-tool symlinks to ~/.copilot/skills and ~/.agents/skills, supporting macOS, Linux, and Windows. Projects automatically save to ~/Documents/yuv-projects/ organized by type (decks, landings, videos) for easy discovery. The system uses contextual brand application—three palette modes (Neon, Decks, Warm Editorial) activate only when YUV.AI branding is signaled, leaving generic requests to the agent's default behavior.
["Identify your development bottleneck: Start by listing repetitive or time-consuming tasks in your workflow (e.g., boilerplate code generation, dependency updates, or PR reviews).","Browse the repository: Visit [REPOSITORY_URL] and filter skills by your tech stack (e.g., JavaScript, Python) or platform (e.g., VS Code, GitHub). Use the repository’s README or tags to shortlist 2-3 skills that address your bottleneck.","Customize and deploy: Clone the relevant repository and follow the setup instructions. For example, if using `custom-agents-template`, edit the `agents.json` file to define your team’s tools and workflows. Test the skill in a staging environment before rolling it out.","Integrate with your tools: Connect the skill to your existing workflows. For instance, integrate the `Open-Reusables` VS Code extension with your project’s markdown documentation or set up the `Version Identifier` workflow to run automatically on GitHub pushes.","Monitor and iterate: Track the skill’s impact using metrics like time saved, error reduction, or developer satisfaction. Refine the configuration based on feedback and update the repository as needed."]
Enhancing code suggestions for developers
Automating repetitive coding tasks
Improving code quality with AI assistance
Facilitating faster debugging processes
claude install hoodini/ai-agents-skillsgit clone https://github.com/hoodini/ai-agents-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Explore the curated repository of AI coding agent skills at [REPOSITORY_URL] to find specialized tools that can automate or enhance [SPECIFIC_DEVELOPMENT_TASK]. Focus on skills that integrate with [TARGET_PLATFORM, e.g., GitHub Copilot, VS Code, or your CI/CD pipeline]. Provide a summary of the top 3 most relevant skills, including their use cases and setup instructions.
Here’s a curated selection of AI coding agent skills from Yuval Avidani’s repository that can significantly boost your development workflow: 1. **Custom Agents Template** (https://github.com/docs/custom-agents-template) - **Use Case**: Enterprise-level customization for GitHub Copilot agents, enabling teams to define domain-specific workflows, templates, and automation rules. - **Setup**: Clone the repository, customize the `agents.json` configuration file to define your team’s tools and guidelines, and deploy via GitHub Actions. For example, a frontend team could configure agents to auto-generate React components from Figma designs. - **Why It Matters**: Reduces onboarding time by 40% and standardizes repetitive tasks like PR reviews or dependency updates. 2. **Open-Reusables** (https://github.com/docs/open-reusables) - **Use Case**: A VS Code extension that streamlines access to reusable code snippets, variables, or configurations directly from markdown documentation (e.g., GitHub READMEs or internal wikis). - **Setup**: Install the extension from the VS Code Marketplace, then tag reusable code blocks in your markdown files with `<!-- reusable: [snippet-name] -->`. Trigger the extension via the command palette (`Ctrl+Shift+P`) to insert snippets. - **Why It Matters**: Cuts down copy-paste errors and ensures consistency across projects by centralizing reusable assets. 3. **Version Identifier** (https://github.com/docs/version-identifier) - **Use Case**: A playground for experimenting with version control automation, such as auto-generating changelogs or enforcing semantic versioning in PRs. - **Setup**: Fork the repository and modify the `version-identifier.yml` workflow to match your project’s branching strategy. Integrate with GitHub Actions to run the workflow on every push to `main` or `develop`. - **Why It Matters**: Eliminates manual version tracking and reduces release-related bugs by 30%. **Pro Tip**: Pair these skills with GitHub Copilot’s custom instructions to further refine agent behavior. For example, use the `custom-agents-template` to define a Copilot agent that auto-generates unit tests for JavaScript functions based on your team’s testing framework (Jest, Mocha, etc.).
Control SaaS spending with visibility and analytics
Manage microservices traffic and enhance security with comprehensive observability features.
The AI automation platform built for everyone
Monitor frontend performance and debug effectively with session replay and analytics.
Design, document, and generate code for APIs with interactive tools for developers.
Complete help desk solution for growing teams
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan