A diagram generator that turns plain requirements or Mermaid diagrams into interactive, standalone HTML pages with inline graphics. It supports architecture, workflow, sequence, data-flow, and lifecycle diagrams.

It helps document system architecture, processes, interactions, data movement, and state changes, with optional themes, motion, and image or video export.

It removes the need to hand-code diagram layouts and export formats. The result can be explored in a browser as a single self-contained file.

archify — Skill for Claude Code and Codex by Unclecheng-li

About the project

AI Animation Skills is a collection of agent instructions and templates for generating single-file HTML animations, including presentations, diagrams, protocol visualizations, phone interfaces, and video-style scenes. People use the skills with AI coding agents to create animated web pages from descriptions or templates. The catalogue entries are the collection's individual generation workflows.

Unclecheng-li/AI_Animation · 1,542 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Unclecheng-li/AI_Animation --skill archify

Clone the repo

git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/archify/github.svg)](https://agentmods.dev/skills/unclecheng-li/ai_animation/archify)

Your own site

<a href="https://agentmods.dev/skills/unclecheng-li/ai_animation/archify"><img src="https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/archify/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/unclecheng-li/ai_animation/archify"><img src="https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/archify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,374 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 92% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00130	$0.03374
Opus 5.5	$0.00052	$0.01350
Sonnet 5.5	$0.00026	$0.00675
Haiku 4.5	$0.00013	$0.00337

Measured 10d ago against content hash 10094272d6d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

archify scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 27 executable files (bin/archify.mjs, bin/open-artifact.mjs, bin/preview.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

92% identical to archify — 134 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/swiss-shot-demos/assets/chart-skills/archify/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Choose architecture, workflow, sequence, dataflow, or lifecycle from the question.
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.
Artifact first: the next tool action must write the candidate. Write the candidate before inspecting renderer internals. Do not plan exact coordinates in prose. Start with one clear main path, short side branches, sparse labels, and at most 12 primary nodes. Set meta.quality_profile to "showcase" unless the user explicitly requests a dense standard map. Start with automatic routes and labels. Do not add via, channelX, channelY, or labelAt before a diagnostic calls for one; apply at most one diagnosed geometry control per repair.
Validate after every candidate edit and immediately before handoff:
```
node bin/archify.mjs validate <type> <candidate.json> --quality showcase --json
```
A receipt with only 4 artifact checks is basic validation, never showcase acceptance. A showcase pass must report all 9 artifact checks with 0 composition errors and 0 warnings. If the candidate omits or misspells the exact meta.quality_profile field, fix it before geometry. For a workflow v2 geometry diagnosis, run node bin/archify.mjs validate workflow <candidate.json> --layout-json and use the stable compiler receipt; solver internals are not authoring controls. A passing final validation freezes the candidate: never edit it afterward.
For a delivered HTML, deliver is the final acceptance command:

Read the full file on GitHub · 138 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

10d ago First seen · 138 lines · 130 tokens per session scan A 10094272d6d1

Subscribe to this mod's changes

archify is a skill published in the GitHub repository Unclecheng-li/AI_Animation (1,542 stars, last pushed 11d ago), licensed MIT. It adds 130 tokens to every session and 3,374 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to archify, differing in 134 lines, and is treated as a copy.

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