troubleshooting
Structured debugging workflow. Only when user explicitly asks for help debugging.
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Installation for Agentic Skill
View all platforms →skilz install settlemint/agent-marketplace/troubleshootingskilz install settlemint/agent-marketplace/troubleshooting --agent opencodeskilz install settlemint/agent-marketplace/troubleshooting --agent codexskilz install settlemint/agent-marketplace/troubleshooting --agent geminiFirst time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/settlemint/agent-marketplacecp -r agent-marketplace/devtools/skills/troubleshooting ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- settlemint (GitHub)
- Repository
- agent-marketplace
- Type
- Other
- Meta-Domain
- Primary Domain
- Market Score
- 0
Agent Skill Grade
B Score: 81/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing TOC for 500+ line file
- Agent debugging section too verbose
- Success criteria buried at end
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-19
Developer Feedback
I took a look at your troubleshooting skill and wanted to share some thoughts.
Links:
The TL;DR
You're at 81/100, solid B territory. This is based on Anthropic's best practices for skill design. Your strongest area is Utility (18/20) – the skill actually solves real debugging problems with systematic workflows. Weakest area is Progressive Disclosure Architecture (22/30) – mainly because a 523-line file without a TOC makes navigation harder than it should be.
What's Working Well
- Strong trigger coverage – Your metadata includes specific error patterns (TypeError, ECONNREFUSED) and intent phrases ("help debug", "fix this"), which means agents will actually find this skill when they need it
- Solid utility focus – The quick_start workflow, CI feedback loop section, and before/after checklist patterns show you understand how debugging actually works in practice
- Helpful references – Moving regenerate-vs-repair and boundary-complexity concepts to separate files is the right call, even if you could delegate more
The Big One: Navigation Crisis
Your 523-line SKILL.md is packed with value but impossible to scan. Agents and humans alike need to know what's where without reading everything. Add a table of contents immediately after the frontmatter with anchor links to each major section:
## Contents
- [Quick Start](#quick-start)
- [Agent Debugging](#agent-debugging)
- [CI Feedback Loop](#ci-feedback-loop)
- [Success Criteria](#success-criteria)
This one change gets you +2 points and makes the skill actually usable at scale.
Other Things Worth Fixing
- **Agent debugging section i...
AI-Detected Topics
Extracted using NLP analysis
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