corespeed-studio for Openclaw

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.

zypher-agent
v1.0.0
Mar 20, 2026
1
751
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install corespeed-studio

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is corespeed-studio?

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.

corespeed-studio Use Cases

  • Creating high-definition cinematic videos from text or images using models like Kling v3 and Sora 2.
  • Generating marketing-ready, photorealistic imagery with FLUX 2 Pro or Recraft V4.
  • Producing multi-lingual voiceovers and AI-generated music for social media content.
  • Automated media post-processing, including Topaz upscaling and professional background removal.
  • Developing lip-synced video content by combining audio inputs with existing video files.

How corespeed-studio Works

  1. The user identifies the desired media model (Image, Video, or Audio) from the supported fal.ai endpoint list.
  2. The Openclaw Skills agent prepares the execution command, including the specific model endpoint and required JSON parameters.
  3. The script handles any necessary file uploads (images or audio) to the fal.ai cloud storage automatically.
  4. The process enters a polling phase, communicating with the fal.ai queue system until the generation is finalized.
  5. Upon completion, the media is downloaded, saved with a timestamped filename, and the local path is reported back to the system.

corespeed-studio Setup

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

corespeed-studio Data Schema & Taxonomy

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]

corespeed-studio Advanced Features

  • Support for image-to-video (I2V) and start/end frame interpolation for precise video control.
  • Automated dependency management with PEP 723 for zero-manual-setup environments.
  • Multi-modal workflow support allowing for sequential operations like generate -> upscale -> remove background.
  • Native support for 30+ languages in text-to-speech tasks via MiniMax Speech-02 HD.
  • Integrated polling logic to handle high-latency video generation tasks (up to 3 minutes) without timeout issues.

SKILL.md


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