Local AI filmmaking studio — skills, canvas, timeline — driven from your coding agent.
# Add to your Claude Code skills
git clone https://github.com/Utopai-Research/pai-proLast scanned: 6/7/2026
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"issues": [],
"status": "PASSED",
"scannedAt": "2026-06-07T07:56:17.922Z",
"npmAuditRan": true,
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}pai-pro is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Utopai-Research. Local AI filmmaking studio — skills, canvas, timeline — driven from your coding agent. It has 319 GitHub stars.
Yes. pai-pro passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/Utopai-Research/pai-pro" and add it to your Claude Code skills directory (see the Installation section above).
pai-pro is primarily written in JavaScript. It is open-source under Utopai-Research on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh pai-pro against similar tools.
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The local AI filmmaking studio, driven from your coding agent.
PAI-Pro is a local-first AI filmmaking workspace built around four things:
Use Claude Code or Codex to install PAI-Pro for you. Paste this into your agent:
Clone
https://github.com/Utopai-Research/pai-pro, read the setup docs in README.md and docs/setup.md, then install PAI-Pro for my current agent. Ask me for myPAI_KEY, use Docker unless I ask for local development, and start the app when setup is complete.
| Choose | Commands |
|---|---|
| Claude Code | Docker: ./scripts/docker-start.shLocal: if ports are busy, run ./scripts/stop.sh first; then ./scripts/setup --agent claude and ./scripts/start.sh |
| Codex | Docker: PAI_DEFAULT_AGENT_ID=codex ./scripts/docker-start.shLocal: if ports are busy, run ./scripts/stop.sh first; then ./scripts/setup --agent codex and PAI_DEFAULT_AGENT_ID=codex ./scripts/start.sh |
Open Docker at http://localhost:7588 or local at http://localhost:7443.
PAI_KEY gives each production one service for image, image pro, video, voice, and 4K upscaling, without separate provider keys for each step. Use the PAI Pro Developer Platform to manage keys, tasks, balance, and credits. It also supports less restrictive video moderation via asset preupload and helps support this project. Paid generations are staged first; for BYOK and exact payloads, see API Service.
| Capability | Quality | Time | # of references | Estimated price |
|---|---|---|---|---|
generate_image |
Great | ~10-30s | 16 imgs | $0.07 / $0.10 / $0.15 for 1K / 2K / 4K |
generate_image_pro |
Best | ~3-6 min | 32 imgs | $0.26 / $0.45 / $0.77 for 1K / 2K / 4K |
generate_video |
Best | ~3-6 min | 9 imgs / 3 vids / 3 auds | $0.08/s / $0.20/s / $0.44/s for 480p / 720p / 1080p |
upscaler |
Best | 1-min example: ~4-8 min landed | 1 video | 1-min example: $1.35 for 1080p->4K, $2.35 for 720p->4K |
generate_voice |
Good | ~5-15s | N/A | $0.01 per 500 input characters, rounded up |
PAI-Pro is released under the PAI PRO Sustainable Use License, which permits personal use, non-commercial research, and internal business use. Commercial use of PAI-Pro Skills or enterprise-designated source code/Skills requires an explicit agreement; enterprise licenses are available.