
Agent Skill Loader
io.github.back1ply由 GitHub 帳號 back1ply 發布v1.2.1更新於 Oct 25, 2026
Dynamically load Claude Code skills into AI agents without copying files.
概覽
一個本機 MCP 伺服器,把 Claude Code 技能資料夾以提示詞和工具形式提供給 AI 代理,無需複製檔案即可載入技能。
- 可以做什麼
- 在設定的資料夾中探索技能,可依名稱或描述篩選,並視需要讀取技能的 Markdown 說明,或在支援 MCP Prompts 的用戶端中作為斜線命令提示詞注入。把技能永久複製到專案的 .agent/skills 資料夾。在執行時新增、移除或列出技能搜尋路徑,並寫入專案設定檔。診斷掃描路徑、可讀性與警告資訊。透過檔案監看器在技能新增或移除時通知用戶端。
- 適用情境
- 當你維護一套 Claude Code 技能庫,並希望 Claude Desktop、Cursor 或其他 MCP 用戶端即時看到它們(作為斜線命令或由代理自行呼叫的工具)時使用。
- 執行需求
- 本機程序;需要 Node.js 18 或更新版本,可從 npm 全域安裝或從原始碼建置。技能資料夾會從預設的 Claude 外掛快取和專案層級 skill-paths.json 自動辨識;選用環境變數 MCP_SKILL_PATHS、MCP_WORKSPACE_ROOT 和 MCP_NO_WATCH 可調整路徑與關閉監看器。未宣告身分驗證。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Agent Skill Loader,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
Agent Skill Loader 🧠
[npm version] [MCP Registry] [License: MIT] [Node.js Version] [TypeScript] [MCP]
Agent Skill Loader is a Model Context Protocol (MCP) server that acts as a bridge between your static Claude Code Skills library and dynamic AI agents (like Claude Desktop, Cursor, or any MCP client).
It exposes skills both as MCP Prompts (slash commands, zero tool calls needed) and as MCP Tools (for programmatic use). Skills are auto-discovered from configured directories and stay live — add a new SKILL.md and the client is notified automatically.
🚀 Features
- MCP Prompts: Skills appear as slash commands in clients. No tool call needed to inject them.
- Live updates:
listChangednotification fires when skills are added or removed (via file watcher). - Discovery:
list_skills— scans configured skill directories, with optional search filter. - Dynamic Learning:
read_skill— fetches theSKILL.mdcontent. - Persistence:
install_skill— copies a skill permanently to your project. - Configuration:
manage_search_paths— add/remove skill directories at runtime. - Troubleshooting:
debug_info— diagnose configuration and path issues.
🛠️ Setup
Prerequisites
- Node.js >= 18
Option A: Install from npm (Recommended)
Then register in .mcp.json:
Option B: Build from Source
Then register in .mcp.json:
📂 Configuration
The server automatically detects its workspace and aggregates skill paths from:
- Default:
%USERPROFILE%\.claude\plugins\cache(Standard location) - Dynamic Config:
skill-paths.json(Located in the project root)
Environment Variables
Dynamic Path Management
You do not need to manually edit config files. Use the tool to manage paths at runtime:
- Add:
manage_search_paths(operation="add", path="F:\\My\\Deep\\Skills") - Remove:
manage_search_paths(operation="remove", path="...") - List:
manage_search_paths(operation="list")creates/updatesskill-paths.json.
🤖 Usage
MCP Prompts (Slash Commands)
If your client supports MCP Prompts (Claude Desktop, Cursor, etc.), skills appear automatically as slash commands. Select a skill from the slash command menu to inject its content directly — no tool calls needed.
Tools
The agent has access to five tools:
list_skills(query?): Returns a JSON list of available skills. Optionalqueryfilters by name/description substring (case-insensitive).read_skill(skill_name): Returns the markdown instructions for a skill.install_skill(skill_name, target_path?): Copies the skill folder to.agent/skills/<name>. For security,target_pathmust be within the current workspace.manage_search_paths(operation, path?): Add, remove, or list skill search paths.debug_info(): Returns diagnostic information (paths, status, warnings).
Example Agent Prompt
"I need to write a DAX measure but I'm not sure about the best practices."
The agent will automatically call list_skills, find writing-dax-measures, call read_skill, and answer with expert knowledge. Or the user can invoke the skill directly as a slash command.
🔧 Troubleshooting
If skills aren't being discovered, use debug_info() to see:
- search_paths: Which directories are being scanned
- path_status: Whether each path exists and is readable
- warnings: Any errors encountered during scanning (permission denied, empty files, etc.)
Example output:
📦 Project Structure
src/index.ts: Main server logic (tools + prompts + watcher).src/utils.ts: Skill scanning, description extraction, prompt helpers, debounce.build/: Compiled JavaScript output.package.json: Dependencies (@modelcontextprotocol/sdk,chokidar,zod).
🤝 Contributing
To add new skills, add a folder with a SKILL.md file to one of the watched directories. The server picks them up automatically and sends a listChanged notification — no restart required.
來源:README.md,提交 8e19c6b
工具
0版本歷史
2- v1.2.1最新Oct 15, 2026
- v1.0.2Sep 16, 2026
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