Agent skill

System Atlas

by NousResearch in NousResearch/hermes-agent

Build explorable isometric architecture atlases as HTML. An agent skill from NousResearch/hermes-agent.

MITAuto-check passed

Install System Atlas

skills CLI
$ npx skills add NousResearch/hermes-agent --skill system-atlas -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NousResearch/hermes-agent system-atlas --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NousResearch/hermes-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/optional-skills/creative/system-atlas .claude/skills/system-atlas && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
system-atlas
GitHub stars
252k
Token cost
~2.2k tokens
SKILL.md length
1,231 words
Files
7 (incl. references, assets)
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

Build explorable isometric architecture atlases as HTML. An agent skill from NousResearch/hermes-agent.

  • Works in 9 steps: Read the inputs before drawing. The… → Discuss before drawing. Propose the… → First atlas — the whole system. Copy… → …
  • SKILL.md covers When to Use, Prerequisites, How to Run and Quick Reference, plus 4 more sections
  • Runs JavaScript scripts from its folder; calls node, npx and python3

What it does

System Atlas is an agent skill from NousResearch/hermes-agent. Build explorable isometric architecture atlases as HTML.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files and assets (for example `references/design-language.md` and `references/process-and-lessons.md`).

The repository describes itself as: The agent that grows with you. The licence is MIT.

Example prompts

  • “/system-atlas”

Requirements

  • Python 3
  • Node.js

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Read the inputs before drawing. The vision doc, the repo's existing surfaces, and whatever prior art the user allows (ask — they may…
  2. Discuss before drawing. Propose the structure in chat, mapped to the runtime's real primitives, and ask only the questions you cannot…
  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…
  4. Progressive disclosure. A whole system at once reads as noise. Ten-ish chapters; each adds at most three structures and runs one small…
  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…
  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…
  7. Feedback by question ID. Every question is Q- with a state: open (a string), resolved {q, r} (answer + date), or routed {q, to} (handed to…
  8. Deep dives feed back. Research with subagents (delegate_task) against one shared brief (the interface we own, the requirements that…
  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…

What it can do on your machine

Read from SKILL.md and the folder at commit dce1e9b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • node
    • npx
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

System Atlas loads about 2.2k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 17 tokens; SKILL.md has 1,231 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~17
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NousResearch/hermes-agent at commit dce1e9b, republished under its MIT licence (© NousResearch). 1,231 words, ~2,207 tokens.

Download SKILL.mdSave it as .claude/skills/system-atlas/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
system-atlas
description
Build explorable isometric architecture atlases as HTML.
version
1.0.0
author
Harshyt Goel (adapted by Nous Research)
license
MIT
platforms
linux, macos

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

bash
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).
Show full SKILL.md (331 more words)Show less

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.

© NousResearch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references, assets) in optional-skills/creative/system-atlas of NousResearch/hermes-agent.

  • SKILL.md
  • LICENSE.txt
  • assets/build.mjs
  • assets/data.example.mjs
  • assets/template.html
  • references/design-language.md
  • references/process-and-lessons.md

Open the folder on GitHubat commit dce1e9b

Compare with similar skills

System Atlas next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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System Atlas this skillNousResearch/hermes-agent252k—~2.2kAutomated safety check: PassMIT
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Agent Scout Explorerruvnet/ruflo74k2 repos~1.6kAutomated safety check: PassMIT
Atlas Cloudcalesthio/OpenMontage66k—~1.2kAutomated safety check: PassAGPL-3.0
Caveman Repository ExplorerJuliusBrussee/caveman111k1 repos~492Automated safety check: PassApache-2.0
Atlas Ledgersickn33/agentic-awesome-skills47k1 repos~3.9kAutomated safety check: PassMIT

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Questions about System Atlas

What does System Atlas do?

Build explorable isometric architecture atlases as HTML. An agent skill from NousResearch/hermes-agent. System Atlas is an agent skill from NousResearch/hermes-agent. Build explorable isometric architecture atlases as HTML.

How do I install System Atlas in Claude Code?

Run `npx skills add NousResearch/hermes-agent --skill system-atlas -a claude-code`. Or copy the skill folder (optional-skills/creative/system-atlas in NousResearch/hermes-agent) into .claude/skills/system-atlas in your project. Claude Code loads it when a task matches its description.

How do I install System Atlas in Codex?

Run `npx skills add NousResearch/hermes-agent --skill system-atlas -a codex`. Or copy the skill folder (optional-skills/creative/system-atlas in NousResearch/hermes-agent) into .agents/skills/system-atlas in your project. Codex loads it when a task matches its description.

Can I use System Atlas in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NousResearch/hermes-agent --skill system-atlas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/system-atlas, .gemini/skills/system-atlas, .github/skills/system-atlas and .opencode/skills/system-atlas in your project.

What does System Atlas need to run?

Going by SKILL.md and its folder, System Atlas needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node, npx and python3). Our summary lists: Python 3; Node.js.

Does System Atlas access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is System Atlas safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does System Atlas use?

System Atlas is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does System Atlas use?

About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.5k tokens, read only when the agent opens those files.

What are the alternatives to System Atlas?

Skills that share tags, products or a category with System Atlas: Explorer (supabase/supabase, 111k stars), Agent Scout Explorer (ruvnet/ruflo, 74k stars), Atlas Cloud (calesthio/OpenMontage, 66k stars) and Caveman Repository Explorer (JuliusBrussee/caveman, 111k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains System Atlas?

NousResearch (a GitHub organization) maintains it in NousResearch/hermes-agent, which has 252,350 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 10, 2026.

Source: NousResearch/hermes-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.