Fal AI Generation
Generate and edit images, create video, audio, 3D assets or material maps through...
Install
npx skills add witnesstodark/mr-mak-workspace --skill fal-ai-generation -g -a claude-code -y- Repository
- witnesstodark/mr-mak-workspace642
- Category
- AI and agents
- Updated
- 4d ago
- License
- MIT
- Context cost
- Lightabout 974 tokens
- Runs scripts
- Yes, review before use
What it does
Generate and edit images, create video, audio, 3D assets or material maps through fal.ai MCP or the Python queue client. Use for fal model discovery, reference uploads, generation, recovery and local delivery.
fal.ai generation
Turn the user's brief and supplied references into downloaded, reviewed assets. Use the connected fal.ai MCP when available. The included Python helper handles local uploads and queue recovery when MCP cannot access the local filesystem. This skill and its relative resources can be copied into another project.
Choose the operation
Distinguish concept exploration, faithful editing, reference-sheet preparation, motion generation, mesh generation and material creation. Preserve a selected provider, model, accepted image, pose, camera and requested output count. An edit changes the requested feature; it does not redesign the whole asset.
When no model is selected, call recommend_model with the actual task. Then read
get_model_schema for the exact endpoint. Similar display names on different
providers are not interchangeable endpoint IDs. Inspect pricing for the planned
batch, especially video or 3D; use existing task authorization without asking
again for already-approved work. Defaults in an old script are not a model choice.
Read MCP calls for parameter examples and recovery. Read prompting and review for concept, reference-edit and material decisions. Read setup when connecting another machine. Each recipient uses their own account and credentials.
