Agent skill · operations · affaan-m

enterprise-agent-ops

Operational controls for long-lived or cloud-hosted agent systems — runtime lifecycle (start, pause, stop, restart), observability (logs, metrics, traces), least-privilege safety scopes and kill switches, and rollout/rollback change management with audit logs and success/cost metrics. Use when running production agent fleets on PM2, systemd, or containers that need monitoring, incident response, or deployment gates.

Why this skill is useful

Provides domain-specific operational controls and incident management patterns for cloud-hosted agent systems that the AI wouldn't reliably generate on its own.

What it needs

About 1k tokens when loaded. Last updated 2026-08-06. 238,342 stars on the source repository.

What this skill does

Enterprise Agent Ops Use this skill for cloud-hosted or continuously running agent systems that need operational controls beyond single CLI sessions. Operational Domains 1. runtime lifecycle (start, pause, stop, restart) 2. observability (logs, metrics, traces) 3. safety controls (scopes, permissions, kill switches) 4. change management (rollout, rollback, audit) Baseline Controls immutable deployment artifacts least-privilege credentials environment-level secret injection hard timeout and retry budgets audit log for high-risk actions Metrics to Track success rate mean retries per task time to recovery cost per successful task failure class distribution Incident Pattern When failure spikes: 1. freeze new rollout 2. capture representative traces 3. isolate failing route 4. patch with smallest safe change 5. run regression + security checks 6. resume gradually Deployment Integrations This skill pairs with: PM2 workflows systemd services container orchestrators CI/CD gates

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills affaan-m/enterprise-agent-ops--0efe01

View the source on GitHub

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