ai-automation-workflows

Automates AI workflows using the inference.sh CLI with batch, pipeline, and scheduled patterns.

Updated Jul 28, 2026
One-click install
npx skills add https://github.com/Aadi-110i/PEP-PROJECT --skill ai-automation-workflows-aadi-110i
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-automation-workflows
Source: https://github.com/Aadi-110i/PEP-PROJECT/tree/main/skills/ai-automation-workflows
Command: npx skills add https://github.com/Aadi-110i/PEP-PROJECT --skill ai-automation-workflows-aadi-110i

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Running AI models repeatedly by hand is slow and error-prone. This Skill provides ready-made bash and Python patterns for automating AI inference tasks—batch generation, multi-step pipelines, scheduled jobs, and error-resilient workflows—through the inference.sh CLI. ## Core Features & Use Cases - Automation Patterns: Includes batch processing, sequential pipelines, parallel execution, conditional branching, and retry-with-fallback templates. - Scheduled Jobs: Provides cron configurations and daily content scripts for recurring AI generation tasks. - Monitoring & Logging: Supplies logging wrappers and webhook-based error alerting for production workflows. - Use Case: A content team needs a week of social media posts. Use the content calendar template to loop over topics, generate images with falai/flux-dev, and write captions with Claude models automatically. ## Quick Start Use the ai-automation-workflows skill to set up a daily cron job that generates an image and caption with the inference.sh belt CLI.

Frequently Asked Questions about ai-automation-workflows

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate AI image generation with a bash script?

Loop over an array of prompts and call belt app run falai/flux-dev with each prompt as JSON input, saving output to files. Add sleep delays between calls for rate limiting and check return codes for failures.

How to schedule AI content generation with cron?

Add a crontab entry pointing to your generation script, such as 0 9 * * * for daily 9 AM runs. Redirect output to a log file so you can audit each scheduled execution later.

Can I chain multiple AI models in one pipeline?

Yes, capture the output of one belt app run call in a shell variable and pass it into the input of the next model. The sequential pipeline pattern chains research, writing, image generation, and social post creation.

How do I handle failed AI inference calls in automation?

Use the retry-with-fallback pattern: retry up to three times with exponential backoff, then fall back to an alternative model like google/imagen-3. Check the exit status of each belt command to detect failures.

Does the inference.sh CLI work with Python scripts?

Yes, call the belt CLI from Python using subprocess.run with JSON-encoded input, then parse stdout as JSON. The included automation.py example shows a complete daily content pipeline written in Python.