fetching-library-docs

I checked out the fetching-library-docs skill and noticed you're tackling the documentation retrieval problem with a pretty thoughtful approach to handling different library formats—curious whether you've run into cases where the extraction logic needs to adapt for libraries with non-standard doc structures, or if that's something you're planning to handle as it comes up?

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 85/100, solid B-grade territory. This is based on Anthropic's skill grading standards. Your strongest area is Writing Style (9/10)—the technical voice is clean and consistent. Weakest area is PDA/Progressive Disclosure (23/30)—you've got good layering but both your main file and reference doc exceed 200+ lines without navigation aids, which burns tokens unnecessarily.

What's Working Well

• Strong trigger phrases in the metadata description ('how do I use X library', 'code examples')—this will help people find it when they need it
• Clear scope boundaries—the "NOT for" exclusion (repo internals) tells users exactly when NOT to use this, which is smart
• Solid feedback loops—you've got verification steps, a --verbose flag for token stats, and a troubleshooting table with stop-and-report patterns baked in
• Real token efficiency claims—77% reduction is measurable and actually useful, not marketing fluff

The Big One: Navigation in Long Files

Your SKILL.md hits 222 lines and the reference doc hits 226 lines, but neither has a Table of Contents. This is burning tokens for anyone trying to find what they need.

Fix: Add a ToC at the top of both files:

## Table of Contents
- [Quick Start](#quick-start)
- [Standard Workflow](#standard-workflow)
- [Parameters...