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Create professional videos autonomously using claude-code-video-toolkit — AI voiceovers, image generation, music, talking heads, and Remotion rendering.
Passed 18 of 22 test cases with the skill, and 7 of 22 without it.
and 12 more in the full report
11 fixed7 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am installing Python dependencies inside an Ubuntu container from tools/requirements.txt, but Debian's PEP 668 externally-managed-environment policy blocks pip. What flag overrides this check?
| Checked | Without skill | With skill |
|---|---|---|
| Includes --break-system-packages in the pip3 install command | Missed | Passed |
The instructions your model reads when the skill loads.
Create professional explainer videos from a text brief. The toolkit uses open-source AI models on cloud GPUs (Modal or RunPod) for voiceover, image generation, music, and talking head animation. Remotion (React) handles composition and rendering.
The toolkit lives at a fixed path. ALWAYS cd here before running any tool command.
TOOLKIT=~/.openclaw/workspace/claude-code-video-toolkit
cd $TOOLKIT
NEVER run tool commands from inside a project directory. Tools resolve paths relative to the toolkit root.
cd ~/.openclaw/workspace/claude-code-video-toolkit
python3 tools/verify_setup.py
If everything shows [x], skip to "Quick Test" below. Otherwise continue setup.
cd ~/.openclaw/workspace/claude-code-video-toolkit
pip3 install --break-system-packages -r tools/requirements.txt
Note: --break-system-packages is needed on Debian/Ubuntu with managed Python (PEP 668). Safe inside containers.
The toolkit needs cloud GPU endpoint URLs in .env. Check if .env exists and has Modal endpoints:
test cases passed, vs 7 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.