xint
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
Agent Ops Runbook
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install 1kalin/afrexai-agent-runbookExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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 the user asks for an agent ops runbook or deployment plan:
Ask which agent function they're deploying (support, sales, document processing, etc.)
Ask about their risk tolerance (conservative, moderate, aggressive rollout)
Generate a complete runbook with:
Include specific metric targets:
Flag risks specific to their industry (compliance, PII, financial accuracy)
Output format: Markdown document ready to share with engineering and ops teams.
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Production deployment runbooks for AI agent systems. Not theory — actual procedures your ops team can use.
Generates complete runbooks covering:
# 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.
# 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)
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
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