Agent skill · Workflow & Productivity

visual-flow-gif

Create animated flow diagrams from articles, workflow notes, architecture sketches, or process descriptions using a JSON specification and a local Python/Pillow renderer. Use when the user wants to turn source material into a static PNG + animated GIF diagram.

AI-Builder-Clubgithub.com/AI-Builder-ClubGitHub ↗
claude-codeships scripts
Install
npx skills add AI-Builder-Club/skills --skill visual-flow-gif --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/visual-flow-gif/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,147 · +35 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Visual Flow GIF Use this skill when a user wants to turn source material into a clear animated flow diagram. The output should include: - A static PNG diagram. - An animated GIF with visible motion. - The JSON spec used to render the diagram when useful for later edits. ## Workflow 1. Read the source material and identify the system. - Inputs, outputs, actors, modules, tools, stores, and feedbac

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About this skill
What does the visual-flow-gif skill do?

Create animated flow diagrams from articles, workflow notes, architecture sketches, or process descriptions using a JSON specification and a local Python/Pillow renderer. Use when the user wants to turn source material into a static PNG + animated GIF diagram.

How do I install it?

Run `npx skills add AI-Builder-Club/skills --skill visual-flow-gif --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From AI-Builder-Club/skills, a repository with 1,147 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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