ai-automation-workflows

--- name: ai-automation-workflows description: "Build automated AI workflows combining multiple models and services. Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops. Tools: inference.sh CLI, bash scripting, Python SDK, webhook integration. Use for: content automation, data processing, monitoring, scheduled generation. Triggers: ai automation, workflow automation, batch processing, ai pipeline, automated content, scheduled ai, ai cron, ai batch job, automated generation, ai workflow, content at scale, automation script, ai orchestration" allowed-tools: Bash(infsh *) --- # AI Automation Workflows Build automated AI workflows via [inference.sh](https://inference.sh) CLI.  ## Quick Start > Requires inference.sh CLI (`infsh`). Get installation instructions: `npx skills add inference-sh/skills@agent-tools` ```bash infsh login # Simple automation: Generate daily image infsh app run falai/flux-dev --input '{ "prompt": "Inspirational quote background, minimalist design, date: '"$(date +%Y-%m-%d)"'" }' ``` ## Automation Patterns ### Pattern 1: Batch Processing Process multiple items with the same workflow. ```bash #!/bin/bash # batch_images.sh - Generate images for multiple prompts PROMPTS=( "Mountain landscape at sunrise" "Ocean waves at sunset" "Forest path in autumn" "Desert dunes at night" ) for prompt in "${PROMPTS[@]}"; do echo "Generating: $prompt" infsh app run falai/flux-dev --input "{ \"prompt\": \"$prompt, professional photography, 4K\" }" > "output_${prompt// /_}.json" sleep 2 # Rate limiting done ``` ### Pattern 2: Sequential Pipeline Chain multiple AI operations. ```bash #!/bin/bash # content_pipeline.sh - Full content creation pipeline TOPIC="AI in healthcare" # Step 1: Research echo "Researching..." RESEARCH=$(infsh app run tavily/search-assistant --input "{ \"q [... prompt truncated for preview ...]