
Skill Builder Mcp
com.dmzagent由 dmzagent.com 发布v1.0.1更新于 Oct 24, 2026
Search the skill-builder registry and auto-install skills for Claude Code, Cursor, and Codex.
概览
让助手搜索公开的技能提示词注册表,并把技能文件安装到 Claude Code、Cursor 或 Codex 项目中。
- 可以做什么
- 提供 skill_search、skill_info、skill_suggest、skill_taxonomy 和 skill_install 等工具。助手可以按分类、作者、类型或标签查找技能,查看技能声明的能力契约,并把技能的 markdown 与 JSON 文件安装到检测到的编码工具中。安装元技能时会解析并安装其完整依赖树,除非选择跳过依赖。
- 适用场景
- 适合希望让助手自动查找并引入现成技能提示词到编码代理工作区的场景,包括依赖多个其他技能的技能包。
- 运行要求
- 通过 npx 以 stdio 方式在本地运行 npm 包 @dmzagent/skill-builder-mcp,需要 Node.js 以及访问注册表 API 的网络。SKILL_API_URL 设置注册表基础地址;SKILL_PROJECT_DIR 设置安装根目录;SKILL_TARGET 强制指定安装目标。SKILL_TOKEN 是用于私有或草稿技能的可选 bearer 令牌。
安装
在 SourceWeft 中
- 打开 控制台中的 Skill Builder Mcp,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
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.
Getting started: installing skills
Browse the registry
Results print as a dense table right in your terminal:
Filter by category, author, type, tag, and sort order:
Search and inspect
Wire up shell completion (skills, tags, and authors complete as you type):
Install a skill
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.
Getting started: publishing skills
1. Create an account
You'll be prompted for a password. Or set SKILL_PASSWORD to skip the prompt:
2. Log in
Your auth token is printed on success. Set it as SKILL_TOKEN so subsequent commands can use it:
(Or pass --token $SKILL_TOKEN to each command.)
3. Publish a skill
From a markdown file:
The CLI reads the filename as the skill id and the first heading as the name. You can also use a JSON manifest:
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.
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:
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.
5. Fork an existing skill (optional)
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:
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:
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 derivestypeand 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.
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
License
MIT
来源:README.md,提交 918ad97
工具
0版本历史
1- v1.0.1最新Sep 16, 2026
评分
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