docker-pro-diagnostic
Advanced log analysis for Docker containers using signal extraction.
Best use case
docker-pro-diagnostic is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Advanced log analysis for Docker containers using signal extraction.
Teams using docker-pro-diagnostic should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/docker-pro-diagnostic/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How docker-pro-diagnostic Compares
| Feature / Agent | docker-pro-diagnostic | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Advanced log analysis for Docker containers using signal extraction.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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}}/log_processor.py <container_name>`.
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 log_processor.py api_gateway_prod`Related Skills
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