agentic-devops

Automate Docker, process, log, and health diagnostics via a stdlib-only Python CLI.

10|2|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/cacheforge-ai/cacheforge-skills --skill agentic-devops
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentic-devops
Source: https://github.com/cacheforge-ai/cacheforge-skills/tree/main/skills/agentic-devops
Command: npx skills add https://github.com/cacheforge-ai/cacheforge-skills --skill agentic-devops

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates production-grade system diagnostics and operational tooling for Docker, processes, logs, and health checks, centralizing these tasks into a single CLI workflow to accelerate incident response and steady-state operations.

Core Features & Use Cases

  • Docker management: Status, logs, health, and Compose service status for containers in production, enabling fast triage.
  • Process & port visibility: List top CPU/memory processes, show listening ports, and identify zombies to prevent resource contention.
  • Log analysis & health checks: Analyze logs for errors and frequencies; perform HTTP endpoint checks to verify availability.
  • One-command diagnostics: Run a full system health snapshot with a single, reliable command to inform on overall health.

Quick Start

Run a full diagnostics sweep by executing the devops tool: python3 skills/agentic-devops/devops.py diag

Frequently Asked Questions about agentic-devops

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run Docker container diagnostics and health checks from the CLI?

Run a full diagnostics sweep by executing the diag command in the Python CLI, which generates a complete system health snapshot covering Docker status, logs, and resource usage.

Can I check Docker container status and logs without installing external dependencies?

Yes, you can check Docker container status and logs using a stdlib-only Python CLI that requires no external dependencies, gracefully degrading functionality when the Docker daemon is unavailable.

What is the best way to analyze application logs for errors across staging and production environments?

Analyze application logs for errors using the CLI's built-in log analysis feature, which scans logs to identify error frequencies and summarizes operational health across staging and production environments.

Does this DevOps toolkit work if Docker is unavailable or not installed?

The DevOps toolkit works when Docker is unavailable by gracefully degrading, allowing operations teams to still list top CPU and memory processes, show listening ports, and analyze system logs.

Why do I need a single-command workflow for production system diagnostics?

A single-command workflow for production system diagnostics accelerates incident response by centralizing Docker status, process listing, port discovery, and health checks into one reliable snapshot.