AI agent skill for seamless integration with JsonCut — automated creation of videos and images via API.
This repository contains structured documentation files that teach AI agents (Claude Code, Codex, OpenClaw, Cursor, Windsurf, etc.) how to interact with the JsonCut API to generate images and videos programmatically.
Place this repo in your project or reference it. Claude Code automatically reads AGENTS.md as the entry point.
Add the contents of AGENTS.md to your custom instructions or rules, or include this repo in your workspace.
Reference the AGENTS.md file in your system prompt or agent configuration.
Point the agent to AGENTS.md — it contains the complete overview with links to detailed docs.
| Topic | File | Description |
|---|---|---|
| API Reference | docs/api.md |
Endpoints, auth, file management, job lifecycle |
| Image Generation | docs/image-generation.md |
6 layer types, positioning, effects, defaults |
| Video Generation | docs/video-generation.md |
16+ layer types, 65 transitions, audio, subtitles |
| HTML Layers | docs/html-layers.md |
HTML/CSS rendering, JS libraries, animations |
| Examples | docs/examples.md |
Ready-to-use image & video examples |
jsoncut-skill/
├── AGENTS.md # Entry point for AI agents
├── CLAUDE.md # Claude Code convention file
├── README.md # This file
└── docs/
├── api.md # API endpoints, auth, files, jobs
├── image-generation.md # Image config, layers, positioning
├── video-generation.md # Video config, clips, transitions, audio
├── html-layers.md # HTML/CSS rendering (shared)
└── examples.md # Ready-to-use examples
| Homepage | jsoncut.com |
| API | api.jsoncut.com |
| Dashboard | app.jsoncut.com |
| Documentation | docs.jsoncut.com |
