developing-llamaindex-systems

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

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 99/100, solid A territory. This is based on Anthropic's best practices for Claude Code skills. Your strongest area is Spec Compliance (15/15) — frontmatter is clean, triggers are specific, and the skill metadata is dialed in. The weakest spot is Writing Style (9/10), mostly around code example length rather than clarity.

What's Working Well

• Trigger coverage is excellent — You've got 15+ activation phrases like "build a LlamaIndex agent," "implement hybrid search," and specific component names (PropertyGraphIndex, SemanticSplitterNodeParser). This means developers will actually find this skill when they need it.
• Progressive Disclosure architecture is solid — 509-line SKILL.md as hub with 6 focused reference files (400-600 lines each) plus executable scripts. That's the right structure for token efficiency.
• Decision trees + Troubleshooting pattern works — The Diagnose→Fix→Verify flow is practical. You're not just explaining concepts; you're giving people a path to solve problems.
• Real problem coverage — Semantic chunking, knowledge graphs, query routing, observability. You're hitting gaps that actually exist in how people use LlamaIndex.

The Big One: Add a Table of Contents to SKILL.md

Why it matters: SKILL.md is 509 lines but jumps straight into content. Developers skimming your skill can't quickly navigate to what they need. This is friction in a document that long.

The fix: Add a ## Contents section right after the title listing all major sections: Quick Start, Architecture Overview, Decision Trees, Common Patterns, Script Reference, Reference Index, Troubleshooting, When Not to Use, Glossary. Takes 2 minutes to add, gains you +1 point, and improves UX significantly.

Other Things Worth Fixing

1. Compress HybridSearchService example — references/retrieval-strategies.md has a 170-line production class. Move the full implementation to scripts/ and keep the reference example to ~50 lines showing just the core pattern. Cuts writing style issues in half.

2. Add concrete I/O examples to troubleshooting — Currently says "check Phoenix shows improved relevance scores (>0.7)". Make it real: "Before: scores [0.3, 0.4, 0.2] → After: scores [0.8, 0.75, 0.7]". One more point and much more useful.

3. Expose your executable scripts — You mention scripts/ directory but don't surface them prominently. Add a "Run This Now" section linking to ready-to-execute examples. People love copy-paste that works.

Quick Wins

• Add TOC to SKILL.md (+1 point, 2 min)
• Shorten code examples, move full productions to scripts/ (+1 point, 10 min)
• Add before/after examples to troubleshooting (+1 point, 5 min)
• Surface scripts in README (+polish, 5 min)

Those four changes get you to a perfect 100.

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