Ai Skill Store

Name: Ai Skill Store
Author: garasegae

@garasegae

Ai Skill Store について

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

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

公開者

garasegae

投稿者

garasegae

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

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

概要

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

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