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smithery.ai

Docker Pro Diagnostic

Advanced log analysis for Docker containers using signal extraction.

Installation

$ npx skills add https://smithery.ai
View on skills.sh ↗ Website ↗

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Also in this package

Other skills from smithery.ai · top by installs.

npx skills add https://smithery.ai
smithery-ai-cli 7.8K frontend-design 6.2K skill-creator 2.5K ck:ui-ux-pro-max 1.3K pdf 1.2K xlsx 966 pptx 894 docx 884 webapp-testing 1 web-design-reviewer 657

Browse all from smithery.ai

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 697 B
  • docs SUMMARY.md 97 B

History

  1. First recorded snapshot · 1 installs

SKILL.md

Docker Pro Diagnostic

When a user asks "Why is my container failing?" or "Analyze the logs for [container]", follow these steps:

  1. Run Extraction: Call python3 {{skillDir}}/logprocessor.py <containername>.
  2. Analyze: Feed the output (which contains errors and context) into your reasoning engine.
  3. Report: Summarize the root cause. If it looks like a code error, suggest a fix. If it looks like a resource error (OOM), suggest increasing Docker memory limits.

Example Command

python3 logprocessor.py apigateway_prod