dotnet-architect
A curated collection of Agent Skills for Google Antigravity
发现已发布的 Agent Skills、可复用的 SKILL.md 工作流,以及适用于 Claude Code、Codex 和 ChatGPT 的可安装模块。
A curated collection of Agent Skills for Google Antigravity
Teams-first Multi-agent orchestration for Claude Code
⛏️ Turning data into a visual language for better thinking with Skills.
Designer Skills Collection: agentic skills, commands, and plugins for design — from research to systems, UI, interaction, and delivery.
A collection of AI agent skills focused on resume optimization, job applications, and career development. Built for job seekers, career changers, and professionals who want Claude Code to help with resume writing, ATS optimization, interview prep, and strategic job search.
A collection of AI agent skills following the Agent Skills open format
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Hairy's curated collection of agent skills.
草梅 Auth 是一个基于 Nuxt 全栈框架的统一登录平台。支持 OAuth2.0 协议,集成邮箱、用户名、手机号、验证码、社交媒体等多种登录注册方式。
Skills for AI agents
754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
Modular plugin marketplace for Claude Code and agentic CLIs, with validated, spec-driven skills, agents, commands, and workflows for Java, TypeScript, Python, PHP, AWS, and AI.
Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
My collection of agent skills for a variety of tasks
Rust Developer AI Assistance System — Meta-Problem-Driven Knowledge Indexing
这个技能暂时还没有补充简介。
🧠 AI Agent Skills Repository - A curated collection of specialized skills for AI coding agents (Claude Code, GitHub Copilot, Cursor, Windsurf). Created by Yuval Avidani using GitHub Copilot via VS Code Insiders.