developing-with-docker

I took a look at your developing-with-docker skill and wanted to share some thoughts.

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 98/100, solid A territory. This is based on Anthropic's best practices for skill design. Your strongest area is spec compliance (15/15 - perfect score), and your weakest is writing style (8/10). The skill fills real gaps in Docker debugging, which is its biggest strength.

What's Working Well

• Spec compliance is flawless — Your frontmatter is clean, naming conventions are correct, and you've nailed the description with strong trigger phrases like "debug Docker," "troubleshoot containers," and "Docker Compose issues."
• Progressive Disclosure is solid — 104 lines in SKILL.md with 6 well-organized reference files. You've got the layering right - users get the quick debugging workflow upfront, then dive into foundation concepts, networking, CLI debugging, etc. as needed.
• Practical workflow design — The 5-step debugging workflow with a validation checklist and findings template is exactly what developers need. The platform-specific guidance (Linux vs. Mac vs. Windows) shows you understand real pain points.
• Great bonus points — Copy-paste checklists, grep-friendly structure, explicit scope boundaries, and quality pre-commit checklist earned you +8 modifiers. That's the kind of polish that makes skills actually useful.

The Big One: Writing Style in References

Your references are verbose. Sections like the intro to guide-foundations.md read more like a textbook ("designed for the professional software developer who has moved beyond the 'Hello World' phase...") than a snappy agent reference.

Why it matters: Agents scan faster with bullet points and tables. Every prose paragraph is context the LLM has to parse.

The fix: Convert narrative prose to structured callouts. In guide-foundations.md, replace the opening paragraphs with:

## Key Concepts

| Term | What It Is | Why It Matters |
|------|-----------|----------------|
| Daemon | Docker background service | Running/stopped state affects all operations |
| Image vs Container | Template vs running instance | Knowing the difference fixes most misconceptions |

This alone could bump you to 9/10 on writing style (+1 point).

Other Things Worth Fixing

1. Add a TOC to SKILL.md — Even though it's only 104 lines, a quick ## Contents section at the top linking to Overview, Quick Start, Debugging Workflow, Validation Checklist helps navigation. Should be +1 point.

2. Add verification commands inline — You say "Check docker context ls and current context" but don't show the exact output format. Add: "Verify context: docker context ls (asterisk marks active context)" so agents know exactly what to expect.

3. Expand feedback loops — You've got a findings template, but some complex scenarios (like debugging distroless containers or permission cascades) could use input/output examples showing before/after states. Real debugging traces help agents learn.

Quick Wins

• Add TOC to SKILL.md (+1)
• Tighten prose in foundations reference, use more tables (+1)
• Add inline verification commands to workflow steps (+1)
• That's another 3 points waiting for you, pushing you to 101/100 (with modifiers)

The skill is genuinely useful — Docker debugging is hard, and you've captured the right problems. These tweaks are polish, not rework.

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