Forgeprint

io.github.forgeprint由 GitHub 帳號 forgeprint 發布v0.4.5更新於 Oct 24, 2026

Resolve a developer profile to exactly one project blueprint and return its CI-tested setup recipe.

已驗證STDIO僅桌面知識與記憶開發者工具

概覽

AI 產生的概覽

Forgeprint 依開發者輪廓解析出唯一一份專案藍圖,並回傳其經 CI 測試的建置步驟、檔案與設定,供編碼代理使用。

可以做什麼
  • 把開發者輪廓解析成待回答的問題,或一份符合的藍圖及其理由、缺少的工具與建置計畫
  • 搜尋、比較藍圖,或取得某份藍圖的清單與全部檔案(選項已解析)
  • 驗證藍圖的 schema 與相似度,沒有符合項目時提出藍圖請求
  • 推薦並取得專家、團隊,以及鎖定版本的第三方整合安裝配方
適用情境
適合在新專案起步時使用:讓代理一次產生 AGENTS.md、技能、MCP 與外掛設定以及確定性的建置步驟,不必手動拼湊。適合想要一個符合結果、而非瀏覽大型目錄的開發者。
執行需求
以 stdio 在本機執行,通常透過 npx 啟動 forgeprint-mcp 套件,需要 Node.js 與網路連線。未宣告任何驗證、環境變數或標頭。僅限桌面端;不支援 MCP 的用戶端可用命令列方式。
安裝前請注意
伺服器本身不安裝也不執行任何東西;回傳的建置步驟由代理在你的機器上執行,包含指令與檔案操作,請先審閱。整合配方會列出所需的密鑰及其可存取的範圍。目前為預發布狀態。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Forgeprint,將其新增到工作區。
  2. 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

[圖片]

Forgeprint

Others say "here are 200 skills, go find yours." Forgeprint says "tell me who you are and what you're building — here is your package."

Forgeprint is a community-grown blueprint catalog and MCP server that lets a coding agent bootstrap a new project with the right context in one shot: the AGENTS.md, the skills, the MCP and plugin configuration, and a deterministic setup recipe the agent can execute.

Status: pre-release. A catalog of blueprints, experts, crews and integrations, working tooling, and an MCP server with all ten tools, published and connectable today. With Claude Code:

bash
claude mcp add forgeprint -- npx -y forgeprint-mcp

On Windows PowerShell, quote the separator: claude mcp add forgeprint "--" npx -y forgeprint-mcp.

Any MCP client can connect; the site has the command or configuration for each of the nine registered agents, and the catalog with its current counts. Roadmap has the rest.


The problem

Every new project starts cold. You hunt down the requirements, write the rule file by hand, wire up the MCP servers, pick the plugins, and get the setup steps wrong twice before they work. Hours of it — repeated by everyone, on every project, forever.

That knowledge is not hard to write down. It is just never written down in a form another agent can use.


What makes it different

1. A resolver, not a catalog to browse

You do not search Forgeprint. You describe yourself and your goal, and it returns exactly one blueprint.

You:   I know C#. I want to build a multi-tenant SaaS API.Agent: [resolve] → Forgeprint returns questions: which database, which auth,       self-hosted or cloud?You:   Postgres, JWT, cloud.Agent: [resolve] → one blueprint, why it was chosen, what is missing on this       machine, and the setup plan.

When the profile is incomplete, the resolver does not guess: it returns the questions your agent should ask you. When two candidates are genuinely close, it returns both as a question and lets you pick — never as a list to sift through. When nothing fits, it says so, names the closest blueprint, explains why it does not fit, and offers to file a request. It never invents a match.

Scoring is weighted: a language you already know beats everything else.

2. A setup recipe, not a description

setup.md is a script, not prose. Every step is numbered, is a single command or a single file operation, and ends with a verification command. Versions are pinned. Option branches are explicit. The agent executes it; Forgeprint itself installs nothing and runs nothing on your machine.

3. A quality gate, not a junk drawer

Every pull request passes schema validation, a setup test that actually runs the recipe in a clean container, and a duplicate report against the closest existing blueprint. Two blueprints may not claim the same stack, project type and requirements — a better one replaces the old one instead of sitting next to it.

There is no inheritance and there are no variants. Variation is expressed as options, capped at three fields with three values each, so the whole matrix stays testable. See ADR 0001.

4. Standards-compatible, not another format

Forgeprint follows the existing specs — AGENTS.md, SKILL.md, marketplace.json — so its output drops into the tools you already use, and skills remain installable through the usual channels:

bash
npx skills add forgeprint/forgeprint            # skills.sh CLIgh skill install forgeprint/forgeprint blueprint-author

Both are verified against the real tools before each release, and forgeprint validate fails on a skill that would not install — see ADR 0006.


How it compares

Forgeprint is not trying to replace most of these. It sits in the gap between them.

ProjectWhat it doesHow Forgeprint differs
microsoft/skills170+ Azure/Foundry skills, an AGENTS.md template, ready MCP configsA catalog you browse; no matching, and Azure-shaped
github/awesome-copilotCommunity instructions, prompts and skills for CopilotA rule collection; no setup recipe, no resolver
github/spec-kitSpec-driven development: spec → plan → tasksA process tool. Forgeprint delivers the context package and the recipe — complementary, not competing
agent-rules-mcpAn MCP that fetches rule files from any GitHub repoFetches files; no selection, no schema, no setup, no quality gate
codeops-mcpUniversal coding rules, generates project.md from an existing projectThe opposite direction: it analyses projects that exist. Forgeprint bootstraps ones that do not
awesome-cursorrulesA Cursor .mdc rule collectionOne tool, one file type; no setup, no MCP
skills.sh, gh skills installSkill distribution standard and CLIDistribution infrastructure that Forgeprint builds on top of, not a competitor

How it works

You point your agent at the MCP server and talk normally. docs/mcp.md has the connection details and a worked exchange.

ToolWhat you get
resolveEither the questions to ask you, or one blueprint with its rationale, missing tools and setup plan
search_blueprintsMatching blueprints with scores, when you want to look yourself
get_blueprintThe manifest and every file, with option branches already resolved
compare_blueprintsA pros-and-cons table for 2–4 candidates, built from their overview.md files
validate_blueprintSchema errors and a similarity report, for contributors
request_blueprintA GitHub issue payload when nothing matches
recommend_expertsFor a task, at most one crew or at most three experts, each with a reason — never a list to browse
get_expertOne expert: its SKILL.md, checklists and sourced references
get_crewOne crew: its members in full, and the install command for each integration it names
get_integrationOne pinned install recipe for third-party software, with the secrets it needs and what they reach

Without an MCP client, nothing above is required:

bash
npx -y forgeprint get ts-http-service --agent cursor --options framework=hono

That writes the files that agent reads, and the recipe with your options resolved — the same answer the tools give, because it is the same code (ADR 0013). It reads the published catalog, or a checkout when you are in one. The catalog is also published as JSON at forgeprint.github.io/forgeprint/index.json and as llms.txt.

Forgeprint replies in English. Your agent presents it in your language: the tools take a locale hint and hand it back, so nothing in the catalog has to be translated. See ADR 0004.


What works today

bash
npx forgeprint validate          # in a checkout of any Forgeprint catalognpx -y forgeprint-mcp            # the MCP server, over stdio

To work on the catalog itself:

bash
git clone https://github.com/forgeprint/forgeprint.gitcd forgeprintpnpm installpnpm run buildpnpm forgeprint validate
CommandWhat it does
pnpm forgeprint validateSchema, taxonomy, required files, and the catalog-wide rules
pnpm forgeprint build-indexRegenerate docs/index.json
pnpm forgeprint build-schemaRegenerate schema/manifest.schema.json
pnpm forgeprint build-codeownersRegenerate .github/CODEOWNERS from the manifests
pnpm forgeprint lint-setup <slug>Check a setup recipe: numbering, verification, pinning, safety
pnpm forgeprint similarity <slug>Duplicate report against every other blueprint

Every pipeline step is a command you can run locally. Hosted CI is a convenience, never a dependency: the workflows call these same commands, the generated index is committed to the repository, and GitHub Pages serves it straight from the branch. When Actions is unavailable, nothing stops. See ADR 0002.


Layout

blueprints/<slug>/     one folder per blueprint — the unit of contributionskills/                blueprint-author and blueprint-reviewschema/                manifest schema and the controlled taxonomypackages/cli/          forgeprint validate / build-* / similarity / lint-setuppackages/mcp-server/   the MCP server (npx forgeprint-mcp)packages/site/         the static GitHub Pages site, generated into docs/docs/                  index.json, the ADRs, and the published site

Roadmap

  • Phase 0 — Skeleton. Workspace, schema, taxonomy, validation and generators, licensing, contribution and governance rules.

  • Phase 1 — First content. Three official blueprints, the blueprint-author and blueprint-review skills, the similarity report and the setup lint.

  • Phase 2 — MCP. The six tools, the option resolver, and the server over stdio, published as forgeprint-mcp.

  • Phase 3 — Publishing. The site is generated from the catalog and served at https://forgeprint.github.io/forgeprint, and the workflows run: validate on every push and pull request, setup-test on the recipes. forgeprint validate checks the skill format the distribution tools read, so npx skills add and gh skills install agree with it (ADR 0006).

  • Phase 4 — Community. Contributor visibility has shipped: every blueprint page names and links its maintainer, and the open blueprint requests are listed live. What is left waits on people rather than on work — the orphan, staleness and co-maintainer rules are written in GOVERNANCE.md and will be automated when there is a second maintainer to automate them for, and community translations open when somebody wants to write one.

    A "times resolved" counter is **not** planned. It would mean the serverlearning something about the people who use it, and[PRIVACY.md](PRIVACY.md) says it collects nothing. If it is everrevisited it will be anonymous and opt-in, and that file says so.

Contributing

Read CONTRIBUTING.md first — especially the part about checking whether the blueprint you want to write already exists. The fastest merge is usually a pull request against a blueprint that is already there.

Two skills carry the procedure, for you or for your agent: blueprint-author turns a working project into a blueprint that passes the gate, and blueprint-review is the standard it is judged against. Install either one into your agent:

bash
gh skill install forgeprint/forgeprint blueprint-authornpx skills add forgeprint/forgeprint --skill blueprint-author

Or add the marketplace, and take them as Claude Code plugins:

/plugin marketplace add forgeprint/forgeprint

Want a blueprint you cannot write yourself? File a blueprint request. The catalog grows by demand.

Who decides what, who reviews, and what happens when nobody answers: GOVERNANCE.md.


Licence

Forgeprint is source-available, not OSI open source. Saying otherwise would be easier and less honest.

WhatLicence
packages/** — MCP server, CLI, sitePolyForm Shield 1.0.0 — use, modify and contribute freely; do not ship a competing product
blueprints/**, schema/**, skills/**CC BY 4.0 — copy them into your own projects, commercial or not
The name and logoTRADEMARK.md — a published fork must rename
ContributionsDCO sign-off (git commit -s), no CLA

Blueprint content is deliberately the freest part: a blueprint you cannot put in your own project is worthless. The reasoning is in ADR 0003.

來源:README.md,提交 c210092

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

4
  1. v0.4.5最新Oct 6, 2026
  2. v0.3.1Sep 24, 2026
  3. v0.3.0Sep 24, 2026
  4. v0.2.1Sep 22, 2026

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