Agent skill · nousresearch

archify

Validated interactive HTML diagrams, upstream-maintained.

What it needs

About 1k tokens when loaded.

What this skill does

Archify (upstream-maintained) Catalog stub. This entry is maintained upstream at tt-a1i/archify: the project ships a self-contained skill directory (archify/) with the Node CLI, schemas, renderers, examples and references. hermes skills install official/creative/archify pulls the current tree live from that repo (quarantined and scanned like any hub install) — this directory holds only the catalog metadata, so the vendored copy can never go stale. Archify turns a small typed JSON spec into a self-contained, explorable HTML diagram: architecture, workflow, sequence, dataflow and lifecycle (state machine) types, dark/light themes, pan/zoom, search, relationship tracing, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. It accepts plain-language requirements or pasted Mermaid (flowchart, sequenceDiagram, stateDiagram) and can read repository evidence when the diagram must reflect real code. Every candidate goes through a 9-check validate / deliver receipt, so the output is verifiable rather than eyeballed. Prerequisites Node.js 18+ on PATH (node bin/archify.mjs doctor confirms the install; no npm install is needed inside the skill package). Installs pull ~200 files (~8 MB, mostly upstream tests and examples) from GitHub; the fetch is pinned to one tree SHA, recorded in the bundle metadata. Upstream's "Update awareness" step runs scripts/check-update.mjs, which reads a release manifest from GitHub and only prints a notice — it never downloads or installs anything. Skip it if outbound calls are unwanted. After install, the bundled architecture-diagram skill remains the zero-dependency fallback (it ports the same Cocoon AI lineage archify grew out of); prefer archify when the user wants validated receipts, Mermaid conversion, sequence/lifecycle types, or export beyond a single HTML file. Full documentation: https://github.com/tt-a1i/archify#readme

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills nousresearch/archify

View the source on GitHub

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