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Agent Ops Runbook

Generate a production-ready operations runbook for deploying AI agents. Covers pre-deployment checklists, shadow mode → supervised → autonomous rollout stages, monitoring dashboards, rollback proce...

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  • SKILL.md1.7 KB
  • README.md798 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Agent Ops Runbook

Generate a production-ready operations runbook for deploying AI agents. Covers pre-deployment checklists, shadow mode → supervised → autonomous rollout stages, monitoring dashboards, rollback procedures, cost management, and incident response templates.

When to Use

  • Deploying an AI agent to production
  • Building monitoring and alerting for agent systems
  • Creating rollback procedures for autonomous workflows
  • Estimating and controlling agent operational costs

Instructions

When the user asks for an agent ops runbook or deployment plan:

  1. Ask which agent function they're deploying (support, sales, document processing, etc.)

  2. Ask about their risk tolerance (conservative, moderate, aggressive rollout)

  3. Generate a complete runbook with:

    • Pre-deployment checklist specific to their function
    • 3-stage rollout plan with metrics and gates
    • Monitoring alerts (critical + warning thresholds)
    • Rollback procedures (3 levels: prompt, feature, full)
    • Cost estimates based on their expected volume
    • 90-day implementation timeline
    • Incident response template
  4. Include specific metric targets:

    • Accuracy vs human baseline: >90%
    • Error rate: <2%
    • Cost per task benchmarks by function
    • Human escalation rate: 5-15%
  5. Flag risks specific to their industry (compliance, PII, financial accuracy)

Output format: Markdown document ready to share with engineering and ops teams.

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