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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...

Quellinformationen

Repository
modbender/skill-library-mcp
Letzte Quellaktivität
6. März 2026 um 18:33
Erkannte Sprache von SKILL.md
Englisch
Sterne
12
Forks
3

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
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.
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