SKILL.md
Install the belt CLI skill: npx skills add belt-sh/cli
AI Automation Workflows
Build automated AI workflows via inference.sh CLI.
Quick Start
Requires inference.sh CLI (belt). Install instructions
belt loginSimple automation: Generate daily image
belt app run falai/flux-dev --input '{
"prompt": "Inspirational quote background, minimalist design, date: '"$(date +%Y-%m-%d)"'"
}'
## Automation Patterns
### Pattern 1: Batch Processing
Process multiple items with the same workflow.
#!/bin/bash
batch_images.sh - Generate images for multiple prompts
PROMPTS=(
"Mountain landscape at sunrise"
"Ocean waves at sunset"
"Forest path in autumn"
"Desert dunes at night"
)
for prompt in "${PROMPTS[@]}"; do
echo "Generating: $prompt"
belt app run falai/flux-dev --input "{
\"prompt\": \"$prompt, professional photography, 4K\"
}" > "output_${prompt// /_}.json"
sleep 2 # Rate limiting
done
### Pattern 2: Sequential Pipeline
Chain multiple AI operations.
#!/bin/bash
content_pipeline.sh - Full content creation pipeline
TOPIC="AI in healthcare"
Step 1: Research
echo "Researching..."
RESEARCH=$(belt app run tavily/search-assistant --input "{
\"query\": \"$TOPIC latest developments\"
}")
Step 2: Write article
echo "Writing article..."
ARTICLE=$(belt app run openrouter/claude-sonnet-45 --input "{
\"prompt\": \"Write a 500-word blog post about $TOPIC based on: $RESEARCH\"
}")
Step 3: Generate image
echo "Generating image..."
IMAGE=$(belt app run falai/flux-dev --input "{
\"prompt\": \"Blog header image for article about $TOPIC, modern, professional\"
}")
Step 4: Generate social post
echo "Creating social post..."
SOCIAL=$(belt app run openrouter/claude-haiku-45 --input "{
\"prompt\": \"Write a Twitter thread (5 tweets) summarizing: $ARTICLE\"
}")
echo "Pipeline complete!"
### Pattern 3: Parallel Processing
Run multiple operations simultaneously.
#!/bin/bash
parallel_generation.sh - Generate multiple assets in parallel
Start all jobs in background
belt app run falai/flux-dev --input '{"prompt": "Hero image..."}' > hero.json &
PID1=$!
belt app run falai/flux-dev --input '{"prompt": "Feature image 1..."}' > feature1.json &
PID2=$!
belt app run falai/flux-dev --input '{"prompt": "Feature image 2..."}' > feature2.json &
PID3=$!
Wait for all to complete
wait $PID1 $PID2 $PID3
echo "All images generated!"
### Pattern 4: Conditional Workflow
Branch based on results.
#!/bin/bash
conditional_workflow.sh - Process based on content analysis
INPUT_TEXT="$1"
Analyze content
ANALYSIS=$(belt app run openrouter/claude-haiku-45 --input "{
\"prompt\": \"Classify this text as: positive, negative, or neutral. Return only the classification.\n\n$INPUT_TEXT\"
}")
Branch based on result
case "$ANALYSIS" in
positive)
echo "Generating celebration image..."
belt app run falai/flux-dev --input '{"prompt": "Celebration, success, happy"}'
;;
negative)
echo "Generating supportive message..."
belt app run openrouter/claude-sonnet-45 --input "{
\"prompt\": \"Write a supportive, encouraging response to: $INPUT_TEXT\"
}"
;;
*)
echo "Generating neutral acknowledgment..."
;;
esac
### Pattern 5: Retry with Fallback
Handle failures gracefully.
#!/bin/bash
retry_workflow.sh - Retry failed operations
generate_with_retry() {
local prompt="$1"
local max_attempts=3
local attempt=1
while [ $attempt -le $max_attempts ]; do
echo "Attempt $attempt..."
result=$(belt app run falai/flux-dev --input "{\"prompt\": \"$prompt\"}" 2>&1)
if [ $? -eq 0 ]; then
echo "$result"
return 0
fi
echo "Failed, retrying..."
((attempt++))
sleep $((attempt * 2)) # Exponential backoff
done
# Fallback to different model
echo "Falling back to alternative model..."
belt app run google/imagen-3 --input "{\"prompt\": \"$prompt\"}"
}
generate_with_retry "A beautiful sunset over mountains"
## Scheduled Automation
### Cron Job Setup
Edit crontab
crontab -e
Daily content generation at 9 AM
0 9 * /path/to/daily_content.sh >> /var/log/ai-automation.log 2>&1
Weekly report every Monday at 8 AM
0 8 1 /path/to/weekly_report.sh >> /var/log/ai-automation.log 2>&1
Every 6 hours: social media content
0 /6 /path/to/social_content.sh >> /var/log/ai-automation.log 2>&1
### Daily Content Script
#!/bin/bash
daily_content.sh - Run daily at 9 AM
DATE=$(date +%Y-%m-%d)
OUTPUT_DIR="/output/$DATE"
mkdir -p "$OUTPUT_DIR"
Generate daily quote image
belt app run falai/flux-dev --input '{
"prompt": "Motivational quote background, minimalist, morning vibes"
}' > "$OUTPUT_DIR/quote_image.json"
Generate daily tip
belt app run openrouter/claude-haiku-45 --input '{
"prompt": "Give me one actionable productivity tip for today. Be concise."
}' > "$OUTPUT_DIR/daily_tip.json"
Post to social (optional)
belt app run twitter/post-tweet --input "{...}"
echo "Daily content generated: $DATE"
## Monitoring and Logging
### Logging Wrapper
#!/bin/bash
logged_workflow.sh - With comprehensive logging
LOG_FILE="/var/log/ai-workflow-$(date +%Y%m%d).log"
log() {
echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE"
}
log "Starting workflow"
Track execution time
START_TIME=$(date +%s)
Run workflow
log "Generating image..."
RESULT=$(belt app run falai/flux-dev --input '{"prompt": "test"}' 2>&1)
STATUS=$?
if [ $STATUS -eq 0 ]; then
log "Success: Image generated"
else
log "Error: $RESULT"
fi
END_TIME=$(date +%s)
DURATION=$((END_TIME - START_TIME))
log "Completed in ${DURATION}s"
### Error Alerting
#!/bin/bash
monitored_workflow.sh - With error alerts
run_with_alert() {
local result
result=$("$@" 2>&1)
local status=$?
if [ $status -ne 0 ]; then
# Send alert (webhook, email, etc.)
curl -X POST "https://your-webhook.com/alert" \
-H "Content-Type: application/json" \
-d "{\"error\": \"$result\", \"command\": \"$*\"}"
fi
echo "$result"
return $status
}
run_with_alert belt app run falai/flux-dev --input '{"prompt": "test"}'
## Python SDK Automation
#!/usr/bin/env python3
automation.py - Python-based workflow
import subprocess
import json
from datetime import datetime
from pathlib import Path
def run_infsh(app_id: str, input_data: dict) -> dict:
"""Run inference.sh app and return result."""
result = subprocess.run(
["belt", "app", "run", app_id, "--input", json.dumps(input_data)],
capture_output=True,
text=True
)
return json.loads(result.stdout) if result.returncode == 0 else None
def daily_content_pipeline():
"""Generate daily content."""
date_str = datetime.now().strftime("%Y-%m-%d")
output_dir = Path(f"output/{date_str}")
output_dir.mkdir(parents=True, exist_ok=True)
# Generate image
image = run_infsh("falai/flux-dev", {
"prompt": f"Daily inspiration for {date_str}, beautiful, uplifting"
})
(output_dir / "image.json").write_text(json.dumps(image))
# Generate caption
caption = run_infsh("openrouter/claude-haiku-45", {
"prompt": "Write an inspiring caption for a daily motivation post. 2-3 sentences."
})
(output_dir / "caption.json").write_text(json.dumps(caption))
print(f"Generated content for {date_str}")
if __name__ == "__main__":
daily_content_pipeline()
## Workflow Templates
### Content Calendar Automation
#!/bin/bash
content_calendar.sh - Generate week of content
TOPICS=("productivity" "wellness" "technology" "creativity" "leadership")
DAYS=("Monday" "Tuesday" "Wednesday" "Thursday" "Friday")
for i in "${!DAYS[@]}"; do
DAY=${DAYS[$i]}
TOPIC=${TOPICS[$i]}
echo "Generating $DAY content about $TOPIC..."
# Image
belt app run falai/flux-dev --input "{
\"prompt\": \"$TOPIC theme, $DAY motivation, social media style\"
}" > "content/${DAY}_image.json"
# Caption
belt app run openrouter/claude-haiku-45 --input "{
\"prompt\": \"Write a $DAY motivation post about $TOPIC. Include hashtags.\"
}" > "content/${DAY}_caption.json"
done
### Data Processing Pipeline
#!/bin/bash
data_processing.sh - Process and analyze data files
INPUT_DIR="./data/raw"
OUTPUT_DIR="./data/processed"
for file in "$INPUT_DIR"/*.txt; do
filename=$(basename "$file" .txt)
# Analyze content
belt app run openrouter/claude-haiku-45 --input "{
\"prompt\": \"Analyze this data and provide key insights in JSON format: $(cat $file)\"
}" > "$OUTPUT_DIR/${filename}_analysis.json"
done
## Best Practices
- **Rate limiting** - Add delays between API calls
- **Error handling** - Always check return codes
- **Logging** - Track all operations
- **Idempotency** - Design for safe re-runs
- **Monitoring** - Alert on failures
- **Backups** - Save intermediate results
- **Timeouts** - Set reasonable limits
## Related Skills
Content pipelines
npx skills add inference-sh/skills@ai-content-pipeline
RAG pipelines
npx skills add inference-sh/skills@ai-rag-pipeline
Social media automation
npx skills add inference-sh/skills@ai-social-media-content
Full platform skill
npx skills add inference-sh/skills@infsh-cli