https://github.com/frankxai/infogenius
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https://github.com/frankxai/infogenius
ai-generated content-creation data-visualization infographics visual-intelligence
Last synced: 21 days ago
JSON representation
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- Host: GitHub
- URL: https://github.com/frankxai/infogenius
- Owner: frankxai
- Created: 2026-01-24T12:34:33.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2026-04-24T10:33:17.000Z (about 2 months ago)
- Last Synced: 2026-04-24T12:29:46.466Z (about 2 months ago)
- Topics: ai-generated, content-creation, data-visualization, infographics, visual-intelligence
- Language: TypeScript
- Size: 47.9 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Run and deploy your AI Studio app
This contains everything you need to run your app locally.
View your app in AI Studio: https://ai.studio/apps/drive/1J_GRCK3XaJ1_R9ysrzQg4SlxLyRwdXJn
## Claude Code Skill
This repo also includes a portable Claude Code workflow for `/infogenius`.
What is included:
- `.claude/skills/infogenius/SKILL.md` - the research-first visual generation skill
- `.claude/commands/infogenius.md` - the slash command wrapper
- `.claude/mcp.example.json` - example Gemini/Nano Banana MCP configuration without secrets
Install into Claude Code by copying the files into your Claude config:
```bash
cp -R .claude/skills/infogenius ~/.claude/skills/
cp .claude/commands/infogenius.md ~/.claude/commands/
```
On Windows PowerShell:
```powershell
Copy-Item -Recurse .claude\skills\infogenius $HOME\.claude\skills\
Copy-Item .claude\commands\infogenius.md $HOME\.claude\commands\
```
Then configure an image MCP such as Nano Banana with your own `GEMINI_API_KEY`. Use `.claude/mcp.example.json` as the template.
The Claude skill is intentionally generic. It does not depend on Arcanea lore, FrankX brand rules, or local machine paths. Arcanea-specific variants live in `frankxai/arcanea-infogenius`.
## Run Locally
**Prerequisites:** Node.js
1. Install dependencies:
`npm install`
2. Set the `GEMINI_API_KEY` in [.env.local](.env.local) to your Gemini API key
3. Run the app:
`npm run dev`