ai-automation-workflows
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
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/okaris/ai-automation-workflowsAI Automation Workflows
Build automated AI workflows via inference.sh CLI.

Quick Start
curl -fsSL https://cli.inference.sh | sh && infsh login
# Simple automation: Generate daily image
infsh app run falai/flux-dev --input '{
"prompt": "Inspirational quote background, minimalist design, date: '"$(date +%Y-%m-%d)"'"
}'
Install note: The install script only detects your OS/architecture, downloads the matching binary from
dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.
Automation Patterns
Pattern 1: Batch Processing
Process multiple items with the same workflow.
#!/bin/bash
# batch_images.sh - Generate images for multiple prompts
PROMPTS=(
"Mountain landscape at sunrise"
"Ocean waves at sunset"
"Forest path in autumn"
"Desert dunes at night"
)
for prompt in "${PROMPTS[@]}"; do
echo "Generating: $prompt"
infsh app run falai/flux-dev --input "{
\"prompt\": \"$prompt, professional photography, 4K\"
}" > "output_${prompt// /_}.json"
sleep 2 # Rate limiting
done
Pattern 2: Sequential Pipeline
Chain multiple AI operations.
#!/bin/bash
# content_pipeline.sh - Full content creation pipeline
TOPIC="AI in healthcare"
# Step 1: Research
echo "Researching..."
RESEARCH=$(infsh app run tavily/search-assistant --input "{
\"query\": \"$TOPIC latest developments\"
}")
# Step 2: Write article
echo "Writing article..."
ARTICLE=$(infsh app run openrouter/claude-sonnet-45 --input "{
\"prompt\": \"Write a 500-word blog post about $TOPIC based on: $RESEARCH\"
}")
# Step 3: Generate image
echo "Generating image..."
IMAGE=$(infsh app run falai/flux-dev --input "{
\"prompt\": \"Blog header image for article about $TOPIC, modern, professional\"
}")
# Step 4: Generate social post
echo "Creating social post..."
SOCIAL=$(infsh app run openrouter/claude-haiku-45 --input "{
\"prompt\": \"Write a Twitter thread (5 tweets) summarizing: $ARTICLE\"
}")
echo "Pipeline complete!"
Pattern 3: Parallel Processing
Run multiple operations simultaneously.
#!/bin/bash
# parallel_generation.sh - Generate multiple assets in parallel
# Start all jobs in background
infsh app run falai/flux-dev --input '{"prompt": "Hero image..."}' > hero.json &
PID1=$!
infsh app run falai/flux-dev --input '{"prompt": "Feature image 1..."}' > feature1.json &
PID2=$!
infsh app run falai/flux-dev --input '{"prompt": "Feature image 2..."}' > feature2.json &
PID3=$!
# Wait for all to complete
wait $PID1 $PID2 $PID3
echo "All images generated!"
Pattern 4: Conditional Workflow
Branch based on results.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-okaris-ai-automation-workflows": {
"enabled": true,
"auto_update": true
}
}
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