Top rated skills

Analyze current repository context and suggest relevant Agent Skills from the GitHub awesome-copilot repository that are not already available in this repository. Agent Skills are self-contained folders located in the skills folder of the awesome-copilot repository, each containing a SKILL.md file with instructions...

Generate a complete, production-ready MCP server in Swift using the official Swift SDK package.

Source provenance, compatibility, automated checks, and current evidence depth are available on the full page.

Add RESTful operations to an existing TypeSpec API plugin for Microsoft 365 Copilot.

Source provenance, compatibility, automated checks, and current evidence depth are available on the full page.

Create a complete TypeSpec API plugin for Microsoft 365 Copilot that integrates with external REST APIs.

Update Bicep file ${file} to use latest Azure Verified Module (AVM) versions. Limit progress updates to non-breaking changes. Don't output information other than the final output table and summary.

Source provenance, compatibility, automated checks, and current evidence depth are available on the full page.

Update the existing llms.txt file in the root of the repository to reflect changes in documentation, specifications, or repository structure. This file provides high-level guidance to large language models (LLMs) on where to find relevant content for understanding the repository's purpose and specifications.

Update markdown file ${file} with an index/table of files from folder ${input:folder} .

Update the existing documentation file at: ${file} by analyzing the corresponding component code.

This skill is a decision-and-implementation guide for VueUse composables in Vue.js / Nuxt projects. It maps requirements to the most suitable VueUse function, applies the correct usage pattern, and prefers composable-based solutions over bespoke code to keep implementations concise, maintainable, and performant.

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Run 150+ AI apps in the cloud with a simple CLI. No GPU required.

Set up the Agentation annotation toolbar in this project.

Generate images with 50+ AI models via inference.sh CLI.

Generate videos with 40+ AI models via inference.sh CLI.

When completing tasks, run pnpm run lint --fix to format the code and fix coding style.

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

Build ChatGPT apps with interactive widgets using mcp-use. Zero-config widget development with automatic registration and built-in React hooks.

The data cleaning pipeline consists of the following 11 steps, each executed independently without deleting the original data:

Source provenance, compatibility, automated checks, and current evidence depth are available on the full page.

Build reliable, fast, and maintainable end-to-end test suites that provide confidence to ship code quickly and catch regressions before users do.

Automate any Electron desktop app using agent-browser. Electron apps are built on Chromium and expose a Chrome DevTools Protocol (CDP) port that agent-browser can connect to, enabling the same snapshot-interact workflow used for web pages.