原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Skill Builder MCP

作者:praeceptor-thesis版本 1.0.1i★ –i在你的电脑上运行
注册名称com.dmzagent/skill-builder-mcp

安装

概览

作者提供的说明(英文原文)

Search the skill-builder registry and auto-install skills for Claude Code, Cursor, and Codex.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆
  • 你需要填写:SKILL_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 0 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: SKILL_API_URL, SKILL_TOKEN, SKILL_PROJECT_DIR, SKILL_TARGET

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "skill-builder": {
      "command": "npx",
      "args": [
        "-y",
        "@dmzagent/skill-builder-mcp"
      ],
      "env": {
        "SKILL_API_URL": "your-value",
        "SKILL_TOKEN": "your-value",
        "SKILL_PROJECT_DIR": "your-value",
        "SKILL_TARGET": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add skill-builder --env SKILL_API_URL=your-value --env SKILL_TOKEN=your-value --env SKILL_PROJECT_DIR=your-value --env SKILL_TARGET=your-value -- npx -y @dmzagent/skill-builder-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "skill-builder": {
      "command": "npx",
      "args": [
        "-y",
        "@dmzagent/skill-builder-mcp"
      ],
      "env": {
        "SKILL_API_URL": "your-value",
        "SKILL_TOKEN": "your-value",
        "SKILL_PROJECT_DIR": "your-value",
        "SKILL_TARGET": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "skill-builder": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dmzagent/skill-builder-mcp"
      ],
      "env": {
        "SKILL_API_URL": "your-value",
        "SKILL_TOKEN": "your-value",
        "SKILL_PROJECT_DIR": "your-value",
        "SKILL_TARGET": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • SKILL_API_URL env
    Registry API base URL (defaults to https://skills.dmzagent.com/api).
  • SKILL_TOKEN 机密 env
    Bearer token for private/draft skills (optional).
  • SKILL_PROJECT_DIR env
    Default project root that installs write into (defaults to the working directory).
  • SKILL_TARGET env
    Force install target: claude | codex | cursor | file (auto-detected by default).

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ! 注意

    作者与仓库一致

    发布者(dmzagent.com)不是仓库所有者(praeceptor-thesis);可能是其他人代为上架的

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7251 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7251 个服务器的 17% 更新
  • 基础检查结果等于或优于此分类中其他 7251 个服务器的 33%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Skill Builder MCP 安全吗?

它在 1 项适用的基础检查中通过了 0 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:SKILL_TOKEN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.1)于5个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

skill-builder

Publish and install AI skill prompts from the command line — or author them in the web editor with help from an AI drafting assistant.

npx @dmzagent/skill-builder install @author/skill-id

Getting started: installing skills

Browse the registry

Results print as a dense table right in your terminal:

npx @dmzagent/skill-builder list

Filter by category, author, type, tag, and sort order:

npx @dmzagent/skill-builder list --category "Developer Tools"

npx @dmzagent/skill-builder list --type meta # only meta skills npx @dmzagent/skill-builder list --author skillauthor npx @dmzagent/skill-builder list --sort downloads npx @dmzagent/skill-builder list --json # machine-readable npx @dmzagent/skill-builder list --web # open the browser registry instead

Search and inspect
npx @dmzagent/skill-builder search "data pipeline"    # ranked by relevance

npx @dmzagent/skill-builder info @skillauthor/dialogue-flow npx @dmzagent/skill-builder suggest dial # autocomplete: skills, tags, authors

Wire up shell completion (skills, tags, and authors complete as you type):

npx @dmzagent/skill-builder completion >> ~/.bashrc
Install a skill
npx @dmzagent/skill-builder install dialogue-flow

npx @dmzagent/skill-builder install @skillauthor/dialogue-flow

Downloads dialogue-flow.md and dialogue-flow.json to the current directory. Use --output ./my-skills to change where files land.

Meta skills install their dependencies automatically. Installing a meta skill resolves its full dependency tree (deduped, cycle-safe) and installs every required skill alongside it. Use --no-deps to install just the meta skill.

npx @dmzagent/skill-builder install @skillauthor/my-bundle

→ resolves and installs my-bundle + every skill it depends on


Getting started: publishing skills

1. Create an account
npx @dmzagent/skill-builder register myhandle "My Name" me@email.com

You'll be prompted for a password. Or set SKILL_PASSWORD to skip the prompt:

SKILL_PASSWORD=hunter2 npx @dmzagent/skill-builder register myhandle "My Name" me@email.com
2. Log in
npx @dmzagent/skill-builder login me@email.com

Your auth token is printed on success. Set it as SKILL_TOKEN so subsequent commands can use it:

export SKILL_TOKEN=<token-from-login>

(Or pass --token $SKILL_TOKEN to each command.)

3. Publish a skill

From a markdown file:

npx @dmzagent/skill-builder publish ./my-skill.md

The CLI reads the filename as the skill id and the first heading as the name. You can also use a JSON manifest:

npx @dmzagent/skill-builder publish ./my-skill.json
4. Declare the capabilities a skill needs (optional)

A skill can declare what a model must be able to do to invoke it. The declaration lives on the spec, so it travels with the skill through the registry, the CLI, and MCP — an agent can tell whether it is able to run a skill before it spends a turn on it.

{

"capabilities": [ { "id": "vision", "level": "required", "note": "reads chart images" }, { "id": "long-context", "level": "preferred" } ] }

required capabilities gate execution: the registry refuses to run a skill on a runtime that cannot provide one, unless the caller explicitly forces a degraded run. preferred capabilities only weaken the result. Catalog ids:

vision · audio-input · file-input · structured-output · streaming

extended-reasoning · long-context · multilingual tool-use · parallel-tool-calls · code-execution · web-search · file-system computer-use · mcp-client persistent-memory · citations

Custom ids are accepted for anything the catalog does not model yet. info and list show the contract, and install rolls it up across a meta skill's whole dependency tree — a meta skill only runs where every skill it installs can run.

npx @dmzagent/skill-builder info @skillauthor/chart-reader

Required capabilities (1) — the invoking model must provide these:

- vision (required) — reads chart images

5. Fork an existing skill (optional)
npx @dmzagent/skill-builder fork @skillauthor/dialogue-flow --name my-dialogue

Creates a copy under your account that you can republish.


Maintaining the registry: backfill dependencies

scripts/backfill-dependencies.mjs finds existing skills that implicitly orchestrate other skills and proposes explicit dependencies + type: "meta" for them. It reads every skill, detects references to other *real* registry skills (by full id, install directives, or distinctive names), scores a confidence level, and merges a curated set of known-correct mappings.

It is dry-run by default — it prints a report and writes nothing:

node scripts/backfill-dependencies.mjs                 # report only

node scripts/backfill-dependencies.mjs --json # machine-readable

To apply, pass --apply with a token. Only skills owned by the token's account are updated (others are listed and skipped), so run it once per publishing account:

SKILL_TOKEN=<token> node scripts/backfill-dependencies.mjs --apply

node scripts/backfill-dependencies.mjs --apply --include-medium # also apply medium-confidence

Confidence tiers: curated and high (explicit id / install / distinctive-name references) apply by default; medium (fuzzy name match) only with --include-medium; meta-no-deps (orchestration language but no concrete dependency) is reported for manual review and never auto-applied.

Applying requires the registry to run the worker build that understands

type/dependencies (it derives type and regenerates markdown on save).

The dry-run report works against any deployed version.


Use from coding agents (MCP)

Coding agents — Claude Code, Cursor, Codex, and other MCP clients — can search the registry and auto-install skills (resolving meta-skill dependency trees) via the @dmzagent/skill-builder-mcp MCP server.

// e.g. .mcp.json (Claude Code) or .cursor/mcp.json (Cursor)

{ "mcpServers": { "skill-builder": { "command": "npx", "args": ["-y", "@dmzagent/skill-builder-mcp"] } } }

Tools: skill_search, skill_info, skill_suggest, skill_taxonomy, and skill_install (writes skill files for the detected tool). See packages/mcp/README.md for per-client setup.


Web App

Visit the skill studio at https://skills.dmzagent.com. The workspace is three collapsible panes plus a settings drawer:

  • Skill Architect — an agent that edits the spec directly rather than handing back markdown, with suggested next steps drawn from whatever the spec is still missing.
  • Spec canvas — the skill as a document: capability contract, instructions, prompt template with its {{variables}} highlighted, examples and tests, and a publish-readiness checklist that links into the field behind each gap.
  • Preview — run the skill for real. Template variables become fields, a capability preflight says whether the runtime can honestly execute it, and every run is scored against the expectation it came from. Any run can be handed back to the architect for review.
  • Architecture — for meta skills, the dependency tree as a layered graph with unresolved ids and cycles flagged, and the capability contract rolled up across everything the skill installs.
  • Settings drawer — every field of the spec, out of the way until you want it: identity, behavior, capabilities, composition, examples and tests, and the generated markdown artifact.

Install from source

npm install

npm run dev --workspace packages/web

License

MIT

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