Use when the user asks to visualize system architecture, infrastructure, cloud/security topology, technical workflows, API call sequences, request lifecycles, data pipelines or state machines — or to convert/beautify a Mermaid diagram — as a polished standalone HTML diagram. Archify is the default for committed architecture, workflow, sequence, data-flow, and lifecycle deliverables; fall back to Mermaid when Node.js 18+ or the skill is unavailable, when the diagram must render inline in…
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.
…
The line at the top of this page pins the label v2.16.0, 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.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (17751 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
arasz/ai-badger · 3 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lfk2gusniqqotl2l
GET https://markdownregistry.com/api/v1/resolve?ref=arasz/ai-badger/archify
GET https://markdownregistry.com/api/v1/blob/a08931a0b16b8a6bfa1a146505a4ce842f31c0f31928b8f694fa759811069990
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.
arasz/ai-badger · .ai-badger/skills/ai-raccoon-memory/SKILL.md · Use when a project needs a memory server — search project and shared memory first, write durable facts with source…
arasz/ai-badger · .ai-badger/skills/archify/SKILL.md · Use when the user asks to visualize system architecture, infrastructure, cloud/security topology, technical workflows…
arasz/ai-badger · .ai-badger/skills/artifact-verification/SKILL.md · Use when verifying changed artifacts that lack a canonical test gate — specs, docs, manifests, generated files…
arasz/ai-badger · .ai-badger/skills/auto-wm/SKILL.md · Use when the user wants Claude to auto-approve tool calls — "enable autonomic/autonomous work mode", "/auto-wm"…
arasz/ai-badger · .ai-badger/skills/browser-usage/SKILL.md · Use when interacting with web pages, running manual E2E browser tests, testing UI flows, or inspecting live web…
arasz/ai-badger · .ai-badger/skills/call-behaviorist/SKILL.md · Use when ai-badger's own machinery needs to be observed — "did that hook even run?", "enable debug logging", "why is…
arasz/ai-badger · .ai-badger/skills/code-review-checklist/SKILL.md · Use when reviewing code — a PR, a diff, or freshly written changes — and you want concrete pass/fail checks rather than…
arasz/ai-badger · .ai-badger/skills/code-review-evidence/SKILL.md · Use when reviewing code that wraps external libs/extensions/SDKs/CLIs, or QA-reviewing a test harness: verify…
arasz/ai-badger · .ai-badger/skills/code-review/SKILL.md · Use when performing a code review in this repository — reviewing a pull request, a branch diff, or a requested…
arasz/ai-badger · .ai-badger/skills/commit-reminder/SKILL.md · Use when a project has accumulated uncommitted changes and nobody has said so out loud — several edits in a row with no…
arasz/ai-badger · .ai-badger/skills/complete-project-scope-code-review/SKILL.md · Use when the whole project — not a diff — is the review target and the result must survive being acted on: "review the…
