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system-atlas

将系统结构和数据流整理成交互式立体 HTML 地图,点击即可查看细节。还能从同一份数据生成说明文档,记录设计决策并跟踪尚未解决的问题。

原文查看原文说明

Build explorable isometric architecture atlases as HTML.

AI 评分100分/ 100查看安装方法

适用场景

  • 说明系统结构和数据流
  • 与团队讨论新设计
  • 跟踪评审中尚未解决的问题
  • 设计变更后更新地图与文档

中文介绍

功能

system-atlas 将系统组件和数据流整理成从斜上方观察的立体 HTML 地图。点击组件即可阅读说明和内部步骤,也能查看流动数据的内容。地图按章节逐步展示组件,便于分阶段讲解整体设计。它还从同一份源文件 data.mjs 生成 SYSTEM.md,其中包含设计决策和问题清单。

适用场景

适合直观讲解新系统、智能体或处理流程,并通过多轮评审逐步完善设计。尚未解决的问题按编号和状态跟踪;决策变化后,可以从同一份数据更新地图和文字说明,让两种表达保持一致。

使用示例

  • “请把这个系统的结构和数据流做成可以点击查看的地图。”
  • “请反映本次确定的设计,同时更新问题状态和说明文档。”

注意事项

支持 Linux 和 macOS。生成文件需要较新版本的 Node.js,验证运行效果需要静态服务器。展示用 HTML 为单个文件,但会引用 Google Fonts 样式表。请修改源数据后重新生成,不要直接编辑已生成的文件。

本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。

客观评估

AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。

指令清晰度能否看出何时使用、做什么
A良好明确说明交互式架构地图、设计评审和问题跟踪的用途与操作。
步骤具体性步骤、输入输出和示例是否具体
A良好提供复制和生成命令、各文件的职责,以及问题编号和状态格式。
安全性发送数据、删除文件、执行命令等是否有说明
A良好要求按文档政策选择保存位置、提交前确认,并重新生成而非直接修改生成文件。
安装难易度所需工具和 API 密钥是否少且有说明
A良好列出 Node.js 和静态服务器要求,并提供生成及启动服务器的命令。

总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月19日 评估。仅供参考,安装前请同时查看原文。

如果您认为评估有误,请申请复核

请写明哪一项有误以及原因。无需登录。我们会对照 SKILL.md 重新评估,并在此处更新结果。

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

包含的文件(7)

  • SKILL.md8.7 KB
  • assets/build.mjs5.5 KB
  • assets/data.example.mjs5.8 KB
  • assets/template.html37.4 KB
  • LICENSE.txt1.0 KB
  • references/design-language.md4.7 KB
  • references/process-and-lessons.md5.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

System Atlas Skill

An atlas is one data file (data.mjs) that renders two views: an interactive isometric map (a single self-contained atlas.html — hover to read, click to pin, go inside for steps, moving data packets you can inspect, chapters that reveal the system a few structures at a time), and a generated text twin (SYSTEM.md) with the decisions table, every structure, the flows, and the open questions by ID. The data file is the only thing anyone edits; both views rebuild from it. It sits beside a hand-written glossary (CONTEXT.md) and ADRs.

Does: interactive architecture maps with progressive disclosure, question tracking across feedback rounds, a generated text twin, and a repeatable update loop. Doesn't: static one-off diagrams (use the architecture-diagram or excalidraw skill), finished systems that only need a README, or a single diagram for a PR.

When to Use

Use whenever someone wants to discuss, design, review, or explain an architecture visually — "make an atlas", "map the system", "make the architecture explorable", "visualize the codebase/agent/pipeline so we can talk about it", "a diagram I can click around", "walk me through how it fits together" — or when an architecture discussion is producing a pile of open questions that need tracking across feedback rounds. Also use it to update an existing atlas after decisions change. Best when the system is new enough that vocabulary, decisions, and questions are still moving and there will be more than one feedback round.

Prerequisites

  • Node.js (any recent version; the build uses only node:fs, node:path, node:url — no npm install needed).
  • A static server for verification (npx serve or python3 -m http.server).

How to Run

mkdir -p <atlas home>/atlas
cp <skill>/assets/{template.html,build.mjs} <atlas home>/atlas/
cp <skill>/assets/data.example.mjs <atlas home>/atlas/data.mjs   # then fill it in
node <atlas home>/atlas/build.mjs   # writes ../SYSTEM.md and ../atlas.html

Every field of the data file is documented in assets/data.example.mjs.

Quick Reference

FileRoleEdit it?
atlas/data.mjsSingle source of truth: structures, flows, chapters, decisions, questions, proseYes
atlas/template.html + atlas/build.mjsRenderer + generatorPresentation only
atlas.htmlBuilt atlas; republish at the same URL after every rebuildNo (generated)
SYSTEM.mdBuilt text twinNo (generated)
CONTEXT.mdGlossary, one line per nounBy hand
adr/Hard-to-reverse decisionsBy hand
research/Deep-dive evidenceAppend-only

Procedure

Follow the order — each step was earned by a correction the first time round.

  1. Read the inputs before drawing. The vision doc, the repo's existing surfaces, and whatever prior art the user allows (ask — they may forbid a branch or a source). If you will build on a framework, read its docs first; hand long docs to a subagent via delegate_task with your specific design questions and have it return a primer with gotchas and a "what it does not give us" list. Drawing before this produces boxes that don't map to anything real.
  2. Discuss before drawing. Propose the structure in chat, mapped to the runtime's real primitives, and ask only the questions you cannot derive from the repo. Take defaults for the rest and say which.
  3. First atlas — the whole system. Copy assets/ into the atlas home (rename data.example.mjs to data.mjs), fill the data, build with node, publish. Where the atlas home is depends on the repo's docs policy — ask before committing anything. Docs-friendly repos: docs/{system}/atlas/ in-tree. Repos that commit only ADRs and CONTEXT.md: put the atlas, SYSTEM.md, and research/ in a git-ignored scratch dir and attach SYSTEM.md + research to the spec issue when published. (Committing the whole set once produced a 3,900-line docs PR and four review rounds reconciling three restatements of one design.) Load the design-md or architecture-diagram skill via skill_view for HTML-artifact guidance if useful; read references/design-language.md for the visual rules either way.
  4. Progressive disclosure. A whole system at once reads as noise. Ten-ish chapters; each adds at most three structures and runs one small flow that only touches revealed structures; the last chapter shows everything with a flow picker. Unrevealed structures stay in the index, dimmed, with their chapter number. Panels are summary-first: one sentence, then Read more and Steps folded.
  5. Shapes and labels. Letters on boxes are not enough. Give each role a shape and put a readable name label on the canvas under every structure — see design-language.
  6. Text twin. CONTEXT.md is a glossary and nothing else (the nouns, one line each); ADRs only for decisions that are hard to reverse, surprising without context, and the result of a real trade-off — these two are the in-tree pieces. SYSTEM.md is generated and research/ holds evidence; both live with the atlas (scratch dir or docs/, per step 3). Don't open issues unless asked.
  7. Feedback by question ID. Every question is Q-<code><n> with a state: open (a string), resolved {q, r} (answer + date), or routed {q, to} (handed to a named next step). Record the user's words. If they call something "not a question", drop it; if they say "I don't get this", explain with a concrete example before resolving. After each round: rebuild, republish, update memory.
  8. Deep dives feed back. Research with subagents (delegate_task) against one shared brief (the interface we own, the requirements that separate candidates, a usage model for cost, a fixed deliverable shape). Write a synthesis with a normalized cost/fit grid. Fold resolutions into the data as {q, r: '… (from the deep dive, date)'}. If the user rejects a proposal, sweep every file and rewrite — a banner on top of a stale section is not enough.
  9. Keep it current. One source, rebuild and republish after every change, never hand-edit generated files, and leave a README.md in the docs folder explaining the set (table in references/process-and-lessons.md).

Publishing

atlas.html is one self-contained file — no build step, no external assets beyond a Google Fonts stylesheet. Serve the folder with any static server (npx serve, python3 -m http.server) and hand over the URL, or let the repo's pages host serve the committed file. One URL, republished after every data change, never a second copy. If you keep a stable published URL, put it in META.artifactUrl so SYSTEM.md links to it.

Pitfalls

  • Keep <!doctype html> first and <meta charset="utf-8"> immediately after — otherwise quirks mode and mojibake arrows.
  • The renderer rebuilds its whole scene on every draw: a stray render() in a hover handler detaches the element under the cursor and the browser stops synthesising clicks — the map looks perfect in a screenshot while nothing responds.
  • Some in-app browsers render file:// as a static snapshot; verify via a static server, not from disk.
  • Never delete a question — resolve or mark it dropped, so IDs stay stable.
  • After every decision, grep the outputs for stale words (pending, the old model name, the rejected design) — the person reads everything.
  • Large HTML/JS via shell heredocs is brittle; use write_file and keep the data block JSON-serializable.

Verification

  • node <atlas home>/atlas/build.mjs exits 0 and writes both SYSTEM.md and atlas.html.
  • Syntax-check the built script (new Function(js)), then open the served page in a real browser at ~1280×800; check a first chapter, a middle chapter, the last chapter, an inside view, and the light theme.
  • Click a structure and confirm the panel says pinned and offers Go inside; click a packet dot and confirm the payload opens.
  • Every structure has one, what, how, a short label, a role kind, and its questions; ghosts are marked; chapters exist with per-chapter flows; the last chapter is the whole system.
  • SYSTEM.md carries the decisions table, the question index with IDs and states, and the "how this file is maintained" footer.
  • Project memory records the atlas URL, docs paths, locked decisions with dates, what the user rejected and why, and the next step.

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