
Skill Builder Mcp
com.dmzagent由 dmzagent.com 發布v1.0.1更新於 Oct 24, 2026
Search the skill-builder registry and auto-install skills for Claude Code, Cursor, and Codex.
概覽
讓助理搜尋公開的技能提示詞登錄庫,並把技能檔案安裝到 Claude Code、Cursor 或 Codex 專案中。
- 可以做什麼
- 提供 skill_search、skill_info、skill_suggest、skill_taxonomy 與 skill_install 等工具。助理可以依分類、作者、類型或標籤查找技能,檢視技能宣告的能力契約,並把技能的 markdown 與 JSON 檔案安裝到偵測到的編碼工具中。安裝中繼技能時會解析並安裝完整的相依樹,除非選擇略過相依項目。
- 適用情境
- 適合想讓助理自動尋找並引入現成技能提示詞到編碼代理工作區的情境,包括相依於多個其他技能的技能包。
- 執行需求
- 透過 npx 以 stdio 方式在本機執行 npm 套件 @dmzagent/skill-builder-mcp,需要 Node.js 以及連線登錄庫 API 的網路。SKILL_API_URL 設定登錄庫基底網址;SKILL_PROJECT_DIR 設定安裝根目錄;SKILL_TARGET 強制指定安裝目標。SKILL_TOKEN 是用於私有或草稿技能的可選 bearer 權杖。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Skill Builder Mcp,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
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
來源:README.md,提交 918ad97
工具
0版本歷史
1- v1.0.1最新Sep 16, 2026
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