
Agent Skills Search Server
ai.com.mcp由 mcp.com.ai 發布官方發布者v1.0.0更新於 Nov 10, 2026
Search and discover Agent Skills from the skills.sh registry. Powered by HAPI MCP server.
概覽
讓助理在 skills.sh 註冊表中搜尋與探索 Agent Skills,以找到可重複使用的指令與工作流程。
- 可以做什麼
- 這個遠端 MCP 伺服器提供對 skills.sh 註冊表中 Agent Skills 的搜尋能力;Agent Skills 被描述為一種輕量、開放的格式,用來為代理擴充專業知識與工作流程。一個技能是包含 SKILL.md 檔案的資料夾,內含中介資料與指令,並可附帶指令碼、參考資料、範本等資源。README 說明代理採用漸進式揭露:啟動時只載入技能的名稱與描述,任務符合時再讀取完整指令,並視需要執行或載入附帶檔案。此伺服器據稱由 HAPI MCP 伺服器提供支援;清單中未列出個別工具。
- 適用情境
- 當你希望助理依主題尋找現成的 Agent Skills,而不是從頭撰寫指令時使用;也適合確認某個技能是否已涵蓋法律審查、資料分析或簡報排版等工作流程。它只是探索工具,不是執行環境:助理仍需支援技能格式的用戶端來載入並執行找到的內容。如果你已明確使用哪些技能,或不依賴 skills.sh 註冊表,則不必加入。
- 執行需求
- 需要一個遠端 streamable HTTP 端點 金鑰、環境變數或標頭。需要能連線至該端點的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Agent Skills Search Server,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/ai.com.mcp%2Fskills-search/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"agent-skills-search": {
"type": "http",
"url": "https://skills-sh.run.mcp.com.ai/mcp"
}
}
}README
Agent Skills
A standardized way to give AI agents new capabilities and expertise.
What are Agent Skills?
Agent Skills are a lightweight, open format for extending AI agent capabilities with specialized knowledge and workflows.
At its core, a skill is a folder containing a SKILL.md file. This file includes metadata (name and description, at minimum) and instructions that tell an agent how to perform a specific task. Skills can also bundle scripts, reference materials, templates, and other resources.
Why Agent Skills?
Agents are increasingly capable, but often don't have the context they need to do real work reliably. Skills solve this by packaging procedural knowledge and company-, team-, and user-specific context into portable, version-controlled folders that agents load on demand. This gives agents:
- Domain expertise: Capture specialized knowledge — from legal review processes to data analysis pipelines to presentation formatting — as reusable instructions and resources.
- Repeatable workflows: Turn multi-step tasks into consistent, auditable procedures.
- Cross-product reuse: Build a skill once and use it across any skills-compatible agent.
How do Agent Skills work?
Agents load skills through progressive disclosure, in three stages:
-
Discovery: At startup, agents load only the name and description of each available skill, just enough to know when it might be relevant.
-
Activation: When a task matches a skill's description, the agent reads the full
SKILL.mdinstructions into context. -
Execution: The agent follows the instructions, optionally executing bundled code or loading referenced files as needed.
Full instructions load only when a task calls for them, so agents can keep many skills on hand with only a small context footprint.
Where can I use Agent Skills?
Agent Skills are supported by a large number of AI tools and agentic clients — see the Client Showcase to explore some of them!
Getting started
- Documentation — Guides and tutorials
- Specification — Format details
- Example Skills — See what's possible
- Discord — Share what you're building!
Open development
The Agent Skills format was originally developed by Anthropic, released as an open standard, and has been adopted by a growing number of agent products. The standard is open to contributions from the broader ecosystem — see CONTRIBUTING.md for how to get involved.
License
Code in this repository is licensed under Apache 2.0. Documentation is licensed under CC-BY-4.0. See individual directories for details.
來源:README.md,提交 69ef37e
工具
0版本歷史
1- v1.0.0最新Sep 16, 2026
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