fal-workflow
Generate AI Model Workflow JSON
Build complex AI pipelines by chaining multiple models in sequence. Generate structured workflow JSON configurations for fal.ai model orchestration.
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Tester
Utilisation de "fal-workflow". Create a workflow for text-to-image generation
RĂ©sultat attendu:
- Workflow JSON with input node accepting text prompt
- Connection mapping text output to image model input
- Output node configured for image result delivery
Utilisation de "fal-workflow". Chain summarization and translation models
RĂ©sultat attendu:
- Workflow with sequential model definitions
- Input/output parameter mappings between steps
- Final output configured for translated summary
Audit de sécurité
SûrDocumentation-only skill with no executable code. Static analysis produced false positives: URLs are markdown links (not network calls) and 'cryptographic algorithm' detections matched description text (not actual crypto code). No security risks identified.
Score de qualité
Ce que vous pouvez construire
Multi-Step Content Pipeline
Chain text generation, image creation, and refinement models in a single automated workflow
AI Model Testing Framework
Execute the same input across multiple models and compare outputs systematically
Data Processing Workflow
Orchestrate models for data transformation, analysis, and visualization in sequence
Essayez ces prompts
Create a workflow JSON file that chains two AI models: first generate text content, then create an image based on that text output.
Generate a workflow configuration for three sequential models: text summarization, sentiment analysis, and report generation. Map outputs to inputs between each step.
Create a workflow JSON with conditional branching: if sentiment analysis returns negative, route to apology generation model; otherwise route to thank you message model.
Design a workflow that runs three different image generation models in parallel from the same text prompt, then aggregates all outputs.
Bonnes pratiques
- Define clear input/output schemas for each model step to ensure compatibility
- Include error handling and fallback configurations for production workflows
- Document workflow purpose and each model's role for maintainability
Éviter
- Creating circular dependencies between workflow steps
- Hardcoding API credentials in workflow JSON files
- Skipping validation of intermediate outputs before passing to next model
Foire aux questions
What is fal.ai workflow JSON?
Can I use this skill without a fal.ai account?
How many models can I chain in one workflow?
Can workflows run models in parallel?
How do I handle errors in a workflow?
Is workflow JSON reusable across projects?
Détails du développeur
Auteur
sickn33Licence
MIT
DĂ©pĂ´t
https://github.com/sickn33/antigravity-awesome-skills/tree/main/web-app/public/skills/fal-workflowRĂ©f
main
Structure de fichiers
đź“„ SKILL.md