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Skill Curator · 技能管家 (多模型 AI 技能管理)

Skill Curator · 技能管家 (多模型 AI 技能管理)

Xianwei Zhang

|
91 installs
| (0) | Free
Xiaomi MiMo(小米)、DeepSeek(深度求索)、Qwen(通义千问)、Gemini、OpenAI 多模型 AI 技能管理器:扫描并用大模型诊断、同步本机 Claude Code / Codex / Copilot / Gemini / OpenCode 的 skills(技能)。Manage, LLM-diagnose & sync your AI coding-agent skills across multiple model providers.
Installation
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技能管家 · Skill Curator

Xiaomi MiMo(小米 MiMo)/ DeepSeek(深度求索)/ Qwen(通义千问)/ Gemini / OpenAI 多模型驱动的 AI 技能(skills)管理器。

一个 VS Code 扩展:自动扫描你本机所有 coding agent(Claude Code、Codex、GitHub Copilot、Gemini、OpenCode)下的 skills(技能),调用你配置的大模型做质量诊断(分级 + 跨技能重叠检测),并以只增不删的软链接方式把技能同步到所有 agent。可在多家模型之间一键切换:MiMo、DeepSeek、Qwen(通义千问)、Gemini、OpenAI。

  • 🔍 一处总览所有 agent 的全部技能
  • 🩺 大模型诊断:用 MiMo / DeepSeek / Qwen / Gemini / OpenAI 评估技能描述与触发词、检测重复重叠
  • 🔁 跨 agent 同步技能(只增不删,先 dry-run 预览再确认)
  • 🤝 一键把技能交给右侧的 Copilot / Claude Code 去优化

关键词 / keywords:技能管理、skill manager、MiMo、Xiaomi MiMo、小米 MiMo、小米大模型、DeepSeek、深度求索、Qwen、通义千问、Gemini、OpenAI、ChatGPT、Claude Code、Codex、GitHub Copilot、OpenCode、Kimi、大模型、LLM、AI agent、SKILL.md。

诊断用的是你自己配置的大模型 API(OpenAI 兼容端点),API key 只存在本机,不随扩展发布。


Skill Curator (English)

Inventory, LLM-diagnose, and add-only sync the skills installed for your coding agents — all from one VS Code sidebar. Built to manage a large, multi-agent skill library and then hand individual skills off to Copilot / Claude Code for editing.

Features

  • Inventory — scans skills across Claude, Codex, Copilot, Gemini, and OpenCode (user dirs plus Claude/Codex plugin layers), grouped in a sidebar tree.
  • LLM diagnosis — runs your configured OpenAI-compatible model over each skill and tags it attention / improve / good with a short note, plus a whole-library overlap pass that flags duplicate or trigger-conflicting skills.
  • Static health checks — broken symlinks, missing/unparseable SKILL.md, name↔directory mismatch, cross-surface drift, stale plugin cache. These work without any LLM configured.
  • Add-only sync — mirrors user-level skills into every enabled agent via symlinks. It shows a dry-run preview and asks for confirmation, never overwrites or deletes, and only ever creates missing links.
  • Hand-off — open a skill's SKILL.md, or copy a diagnosis-laden prompt and send it to your Copilot / Claude Code chat to do the actual editing.

Requirements

  • VS Code 1.90+
  • For diagnosis: one API key for a built-in or custom OpenAI-compatible / Anthropic-compatible chat endpoint. Inventory and static health checks work without it.

Configuration

Setting Description
skillCurator.llm.baseUrl OpenAI-compatible or Anthropic-compatible base URL, e.g. https://…/v1 or https://api.deepseek.com/anthropic
skillCurator.llm.model Model name used for diagnosis
skillCurator.llm.apiKeyEnv Optional env var name to read the API key from if SecretStorage is empty
skillCurator.llm.providers[].models Optional selectable model names for a provider; the chosen value is written back to model
skillCurator.llm.providers[].apiKeyEnvs Optional fallback env var names after apiKeyEnv
skillCurator.surfaces Which agents to scan/sync (default: all five)
skillCurator.diagnose.concurrency Max concurrent diagnosis calls (default 4)

The API key is not a setting. Store it with the "Skill Curator: Set LLM API Key" command (kept in VS Code SecretStorage), or point skillCurator.llm.apiKeyEnv at an environment variable.

If skillCurator.llm.providers is empty, the settings panel shows a built-in catalog:

Provider Default endpoint Default model Env fallback
Qwen Token Plan https://token-plan.cn-beijing.maas.aliyuncs.com/apps/anthropic qwen3.6-flash TOKEN_PLAN_API_KEY, BAILIAN_TOKEN_PLAN_API_KEY, QWEN_TOKEN_PLAN_API_KEY, QWEN_API_KEY
DeepSeek https://api.deepseek.com/anthropic deepseek-v4-flash DEEPSEEK_API_KEY
MiMo Token Plan https://token-plan-cn.xiaomimimo.com/anthropic mimo-v2.5 MIMO_API_KEY
Gemini https://generativelanguage.googleapis.com/v1beta/openai gemini-3.5-flash GEMINI_API_KEY, GOOGLE_API_KEY
OpenAI https://api.openai.com/v1 gpt-5.5 OPENAI_API_KEY

The extension auto-routes /anthropic endpoints to /v1/messages; OpenAI and Gemini use /chat/completions.

Example custom provider with selectable models:

{
  "skillCurator.llm.providers": [
    {
      "id": "deepseek-pro",
      "label": "DeepSeek Pro",
      "baseUrl": "https://api.deepseek.com/anthropic",
      "model": "deepseek-v4-pro",
      "models": ["deepseek-v4-pro", "deepseek-v4-flash"],
      "apiKeyEnv": "DEEPSEEK_API_KEY"
    }
  ],
  "skillCurator.llm.activeProvider": "deepseek-pro"
}

Commands

  • Skill Curator: Refresh — re-scan skills
  • Skill Curator: Diagnose All Skills — run LLM diagnosis + overlap
  • Skill Curator: Diagnose This Skill — diagnose one (picks from a list)
  • Skill Curator: Sync Skills to All Agents — dry-run preview, then add-only sync
  • Skill Curator: Set LLM API Key — store the key in SecretStorage
  • Skill Curator: Select Diagnosis Provider — switch the endpoint/key used for diagnosis
  • Skill Curator: Select Diagnosis Model — switch the model under the active provider, including custom names

Privacy

Diagnosis sends each skill's name, description, trigger phrases, and a truncated body excerpt to the LLM endpoint you configure. Nothing is sent anywhere else. Sync only touches your local filesystem.

Development

npm install
npm run build      # esbuild bundle → dist/extension.js
npm test           # vitest (core / llm / sync)
npm run typecheck  # tsc --noEmit

Press F5 to launch the Extension Development Host.

License

MIT

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