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Afrexai Agent Runbook

Agent Ops Runbook

1kalin0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install 1kalin/afrexai-agent-runbook

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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.

来源信息

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-agent-runbook
Version
—
Commit
99a44edbca7ba4f9294f19f9540dbf7661c4b69a
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

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

来源内容

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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