Privacy and advertising choices

Git-Stars uses essential storage for site operation. Optional analytics and ad-measurement scripts stay disabled unless you accept them; partners such as Google may then use cookies or similar identifiers where required. Privacy Policy

LogoGit-Stars
Top StarsTrendingAI AgentsDaily PicksViral ReposInsights
LogoGit-Stars

Discover top GitHub projects with real rankings and AI insights

GitHub
Built withLogo of Git-StarsGit-Stars
Rankings
  • Top Stars
  • Trending
  • AI Agents
  • Daily Picks
  • Explore
Resources
  • Insights
  • Editorial Policy
About
  • About
  • Contact
Legal
  • Privacy Policy
  • Terms of Service
© 2026 Git-Stars. All Rights Reserved.
AI Agent Analysis
SS

google-labs-code/stitch-skills

A library of Agent Skills designed to work with the Stitch MCP server. Each skill follows the Agent Skills open standard, for compatibility with coding agents such as Antigravity, Gemini CLI, Claude Code, Cursor.

stars
7.9k
Language
TypeScript
GitHub
Source and compliance noteLast synced: Jul 31, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy

Overview

Stitch Skills is a library of reusable, standardized agent skills designed to work with the Stitch MCP server. It provides a collection of modular capabilities that coding agents like Antigravity, Gemini CLI, Claude Code, and Cursor can leverage to perform common tasks, enabling rapid development and interoperability across different AI coding tools.

Installation

Install via npm: `npm install @google-labs/stitch-skills` or clone the repo and link locally.

Problem solved

This framework solves the fragmentation of agent capabilities by providing a standardized, interoperable set of skills that work across multiple coding agents. It eliminates the need to reimplement common functionalities for each agent, reducing duplication and ensuring consistent behavior.

What you can build

Developers can build agents that perform file operations, code analysis, web scraping, API interactions, and other common development tasks using pre-built skills. Real-world use cases include automated code review assistants, project scaffolding tools, and intelligent debugging helpers. The ceiling is high: with the open standard, developers can create complex multi-step workflows by composing skills, and the library can grow with community contributions.

Community sentiment

Positive

No community feedback yet.

Concerns

No concerns documented yet.

Bottom line

This project is ideal for developers building AI coding agents who want to avoid reinventing the wheel and ensure compatibility across tools. It may be less useful for those needing highly specialized or non-standard agent behaviors. The key trade-off is standardization vs. flexibility: using these skills constrains you to the defined interfaces but provides interoperability and community support.

Analyzed by Git-Stars - 7/22/2026