Visualize

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scaccogatto

visualize

Render an Open Knowledge Format (OKF) bundle as a single self-contained, interactive HTML graph (viz.html) — concepts as nodes coloured by type and sized by body length, markdown links and bundle-internal `sources` as edges, a wiki-style detail panel with rendered markdown, v0.2 trust/lifecycle/provenance metadata, and "Links to" / "Cited by" backlinks, layout switching, per-type filter and search. Use when asked to visualize, graph, preview, or explore an OKF bundle.

Overview

Publisher	scaccogatto
Repository	`okf-skills`
Skill name	`visualize`
Stars	424
Forks	40
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by scaccogatto on GitHub. Read the source before you install it.

Installation

Install the Visualize 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/scaccogatto/okf-skills/tree/main/skills/visualize
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/scaccogatto/okf-skills.git /tmp/okf-skills
mkdir -p .claude/skills
cp -r /tmp/okf-skills/skills/visualize .claude/skills/visualize

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

Use it in TypingMind

Enable Visualize 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 Visualize 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 Visualize 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.

Visualize an OKF bundle

Generate a self-contained HTML graph of the target bundle. The bundle directory is required, so pass .okf explicitly when no path is given. No backend, no install, no bundle content leaves the page. The viewer does need network access: cytoscape, marked and dompurify load from cdn.jsdelivr.net.

bash
uv run "${CLAUDE_SKILL_DIR}/scripts/okf_visualize.py" $ARGUMENTS

If uv is unavailable:

bash
python3 -m pip install --quiet pyyaml && \
python3 "${CLAUDE_SKILL_DIR}/scripts/okf_visualize.py" $ARGUMENTS

The detail panel shows each concept's type, description, tags, status, generated, verified, stale_after, sources (with their credibility signals, a usage_count alongside the usage_window that frames it), and rendered body; a sources entry pointing at another concept in the bundle also becomes a graph edge. A v0.1 timestamp is read as generated.at, so legacy bundles still render fully.

Two badges are derived, not read: the §5.3 trust tier (unverified / machine-confirmed / human-reviewed, keyed off the human: prefix in verified[].by) and staleness (now >= stale_after). They are advisory signals — when reporting on a bundle, say which tier a concept is in rather than treating any of them as a gate.

Flag	Effect
`-o <path>`	Output file (default `<bundle>/viz.html`).
`-t, --title`	Graph title (default `parent/bundle` dir name).
`-l, --link`	Source URL shown in the header.
`--layout`	`cose`, `concentric`, `breadthfirst`, `circle`, `grid`.
`--max-nodes N`	Exit 1 above N concepts (useful in CI).
`--og-image URL`	Absolute URL for the social preview image.

Above 1,000 concepts the default switches to concentric (force freezes the page; --layout cose overrides, and the in-page picker asks first). Above 5,000 it warns that the page loads slowly and reads as a hairball, and suggests rendering a subdirectory.

Open it in any browser; ${CLAUDE_SKILL_DIR} resolves whether this runs as part of the okf plugin or as a standalone skills.sh skill. The page is deep-linkable: ?select=<concept-id> or #<concept-id> opens that concept, ?layout=<name> presets the layout.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/okf_visualize.py27 KB

Frequently asked questions

What does the Visualize AI skill do?

Why use Visualize on TypingMind?

Because you install it once and use it with any model. Visualize 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 Visualize in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/scaccogatto/okf-skills/tree/main/skills/visualize. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Visualize?

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 Visualize?

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

Is the Visualize AI skill free?

Yes. It is published on GitHub by scaccogatto 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

Visualize an OKF bundle

Bundled files

Frequently asked questions

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