archify – Other skill for AI agents
Validated interactive HTML diagrams, upstream-maintained.
Install the archify skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/archify-e9c6d.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /archify – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/archify-e9c6d.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $archify – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/archify-e9c6d.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /archify – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/archify-e9c6d.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /archify – then describe the task you want done.
SKILL.md content
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 doctorconfirms 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
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