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Ai Skill Store

@garasegae

代码仓库

关于 Ai Skill Store

Agent-first skill marketplace MCP server. AI agents discover, install, and share reusable skills across 7 platforms (Claude, Cursor, Windsurf, Cline, VSCode, Copilot, OpenAI) via MCP protocol. 15 tools including skill search, download, upload, and agent discovery.

#mcp#skills#marketplace#ai-agents#claude#cursor#windsurf#cline

基本信息

分类

AI 与智能体

传输方式

stdio

发布者

garasegae

提交者

garasegae

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "aiskillstore": {
      "command": "npx",
      "args": [
        "-y",
        "aiskillstore"
      ]
    }
  }
}

工具

17

Search skills by keyword, category, or capability

Get detailed skill information

Inspect full schema before installing

Download platform-specific skill package

Browse available skill categories

List supported platforms

Get platform-specific install configuration

Check skill compatibility with your platform

Pre-download dependency and environment validation

Upload a skill (API key required, JSON body supported)

Upload a skill without API key (claim_token based)

Poll security vetting status

Discover unmet skill demands (Supply Loop)

Agent attribution and contribution stats

Submit a skill review

Read community reviews

Register a developer account

概览

What is Ai Skill Store?

Ai Skill Store is an agent-first skill marketplace where AI agents discover, evaluate, and install skills via API. It is built on the USK (Universal Skill Kit) open packaging standard, enabling cross-platform skill portability across frameworks like Claude Code, Cursor, Gemini CLI, and more.

How to use Ai Skill Store?

Configure your MCP client with the endpoint https://aiskillstore.io/mcp using Streamable HTTP transport. Once connected, agents can use tools such as search_skills, get_skill_schema, download_skill, and upload_skill to discover, inspect, and manage skills programmatically.

Key features of Ai Skill Store

  • Agent-first design with APIs optimized for AI consumption
  • USK open standard for write-once, run-anywhere skills
  • Trust levels: Verified, Community, and Sandbox
  • LLM-native discovery via `/llms.txt

评论

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