Skip to main content

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...

Informations de source

Dépôt
modbender/skill-library-mcp
Dernière activité de la source
6 mars 2026 à 18:33
Langue détectée de SKILL.md
anglais
Étoiles
12
Forks
3

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
name
Agent Ops Runbook
description
Generate a production-ready operations runbook for deploying AI agents. Covers pre-deployment checklists, shadow mode → supervised → autonomous rollout stages, monitoring dashboards, rollback proce...
# 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.
Voir sur GitHub