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Afrexai Agent Runbook

Agent Ops Runbook

1kalin0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install 1kalin/afrexai-agent-runbook

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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.

Source information

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-agent-runbook
Version
—
Commit
99a44edbca7ba4f9294f19f9540dbf7661c4b69a
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

Agent Ops Runbook Generator

Production deployment runbooks for AI agent systems. Not theory — actual procedures your ops team can use.

Generates complete runbooks covering:

  • Pre-deployment checklists
  • Shadow → Supervised → Autonomous rollout stages
  • Real-time monitoring and alerting configs
  • 3-level rollback procedures
  • Cost management and optimization
  • Incident response templates
  • 90-day implementation timelines

Get More

Extracted content

SKILL.md
# 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.
README
# Agent Ops Runbook Generator

Production deployment runbooks for AI agent systems. Not theory — actual procedures your ops team can use.

Generates complete runbooks covering:
- Pre-deployment checklists
- Shadow → Supervised → Autonomous rollout stages
- Real-time monitoring and alerting configs
- 3-level rollback procedures
- Cost management and optimization
- Incident response templates
- 90-day implementation timelines

## Get More

- [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — free ROI analysis
- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — working configs in 5 minutes
- [Industry Context Packs](https://afrexai-cto.github.io/context-packs/) — pre-built agent configs for 10 industries ($47 each)

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