Archify

OrganizationPopular

NousResearch

archify

Validated interactive HTML diagrams, upstream-maintained.

Overview

Publisher	NousResearch
Repository	`hermes-agent`
Skill name	`archify`
Stars	250.4K
Forks	53.5K
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by NousResearch on GitHub. Read the source before you install it.

Installation

Install the Archify AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/NousResearch/hermes-agent/tree/main/optional-skills/creative/archify
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/NousResearch/hermes-agent.git /tmp/hermes-agent
mkdir -p .claude/skills
cp -r /tmp/hermes-agent/optional-skills/creative/archify .claude/skills/archify

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Archify in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Archify on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Archify is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Archify (upstream-maintained)

Catalog stub. This entry is maintained upstream at 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

Frequently asked questions

What does the Archify AI skill do?

Validated interactive HTML diagrams, upstream-maintained.

Why use Archify on TypingMind?

Because you install it once and use it with any model. Archify is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Archify in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NousResearch/hermes-agent/tree/main/optional-skills/creative/archify. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Archify?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Archify?

As many as you like. As long as a model supports skills, you can use Archify with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Archify AI skill free?

Yes. It is published on GitHub by NousResearch under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Archify (upstream-maintained)

Prerequisites

Frequently asked questions

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