A comprehensive media generation skill for Openclaw Skills that interfaces with fal.ai to produce high-fidelity video, images, and audio via 40+ state-of-the-art AI models.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install corespeed-studio
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install corespeed-studio using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
corespeed-studio is a robust integration for the Openclaw Skills ecosystem designed to streamline complex AI media generation tasks. By leveraging the fal.ai API, it provides developers and AI agents access to industry-leading models like Kling v3, Sora 2, and FLUX 2 Pro. This skill acts as a unified bridge for generating cinematic videos, photorealistic images, and high-quality audio tracks through a single, consistent interface.
Beyond simple generation, the skill simplifies the developer experience by utilizing PEP 723 inline metadata. This ensures that dependencies like the fal-client are managed automatically via uv run, eliminating the need for manual virtual environment configuration. Whether you are building automated content pipelines or interactive AI agents, corespeed-studio offers the versatility required for professional-grade media production.
To use corespeed-studio within your Openclaw Skills environment, ensure you have an API key from fal.ai and the uv package manager installed.
# Install uv if not already present
pip install uv
# Set your API key environment variable
export FAL_KEY='your_fal_ai_api_key_here'
# Run a generation task (example for Nano Banana 2)
uv run scripts/fal.py fal-ai/nano-banana-2 --json '{"prompt":"A futuristic cityscape"}' -f output.png
The skill follows a strict organization for media output and model reference, ensuring compatibility across the Openclaw Skills framework:
| Data Type | Description | Naming Convention |
|---|---|---|
| Output Files | Generated media (MP4, PNG, MP3) | yyyy-mm-dd-hh-mm-ss-name.ext |
| References | Technical documentation for endpoints | Located in references/*.md |
| Logs | Execution and polling status | Standard STDOUT |
| Metadata | Auto-attached media signals | MEDIA: [path] |
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