archify – skill Khác cho agent AI

Archify (upstream-maintained)

> Catalog stub. This entry is maintained upstream at

> [tt-a1i/archify](https://github.com/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