This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.
archify from aicodedecode/awesome-muse-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Archify
Create a self-contained, interactive HTML diagram from a small typed JSON specification. Static output is the default; enable motion only when the user asks for a demo or presentation.
## Fast authoring path
Use this bounded path for ordinary generation. Do not read the optional Viewer Runtime reference unless the user asks about those features.
1. Choose `architecture`, `workflow`, `sequence`, `dataflow`, or `lifecycle` from the question.
2. Read one matching schema in `schemas/`, `schemas/common.schema.json`, and one matching JSON example in `examples/`. Read only those files. Fresh authorship means new stable IDs, domain wording, and layout; use the example for field shape, not facts. New workflow sources use `schema_version: 2` and its readable layout contract; keep `schema_version: 1` only when preserving an existing workflow's fixed geometry. When real product identity matters, query `node bin/archify.mjs brands "<name>" --json`; read `references/brand-marks.md` only for an unknown brand with a user-provided URL.
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The line at the top of this page pins the label v2.17, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_6zki434gpqknm5hj
GET https://markdownregistry.com/api/v1/resolve?ref=aicodedecode/awesome-muse-skills/archify
GET https://markdownregistry.com/api/v1/blob/10094272d6d1b4ad0f2c2e0880cb646fe4991454a2dc3d854aecb27e7407ee1f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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aicodedecode/awesome-muse-skills · skills-imported/accessibility-auditor/SKILL.md · Web accessibility specialist for WCAG compliance, ARIA implementation, and inclusive design. Use when auditing websites…