Business Automation
Real-world use cases: support, ops, monitoring, reporting, and coordination.
SkyKoi agents aren't just chatbots — they're full-featured AI assistants that can automate complex business workflows with shell access, web browsing, and scheduled tasks.
Development Assistance
- •Write, review, and debug code directly on the server
- •Run build pipelines and tests via shell commands
- •Research APIs and documentation through web search and browsing
- •Manage git repositories (clone, commit, push, review PRs)
- •Generate and edit configuration files
Infrastructure Operations
- •Monitor infrastructure health and alert on anomalies
- •Run deployment scripts and manage CI/CD pipelines via shell commands
- •Generate daily/weekly reports
- •Automate repetitive tasks with cron-scheduled agent runs
- •Manage AWS resources through natural language
Data Pipeline Management
- •Trigger and monitor ETL jobs
- •Query databases and generate reports
- •Process files (CSV, JSON, logs) with shell tools
- •Sync data between services
- •Alert on pipeline failures
Monitoring & Alerting
- •Heartbeats — The agent checks in periodically (configurable) to monitor systems, email, calendars, notifications
- •Cron jobs — Schedule exact-time checks: "Every Monday at 9 AM, review infrastructure costs and generate a report"
- •Proactive alerts — Agent can detect issues (high CPU, failed deployments, etc.) and log them
Example: Automated Ops Bot
text
# Agent SOUL.md
You are OpsBot, the infrastructure monitoring assistant for Acme Corp.
Your responsibilities:
- Monitor AWS infrastructure health every 4 hours (via heartbeat)
- Run daily cost reports at 9 AM EST (via cron)
- Deploy to staging when asked, require approval for production
Tools you use:
- exec: AWS CLI, kubectl, docker
- web_fetch: Grafana dashboards, PagerDuty API
- cron: Schedule recurring checks