The body is mostly efficient but includes some tightening opportunities — the Overview and "Key advantages" bullets restate ideas, and the Include/Exclude table plus Context Economics explanation inline add tokens that could live in references. It does not reach the lean, every-token-earns-its-place anchor.

Provides executable bash commands with exact paths, concrete naming conventions, a final validation checklist, and copy-ready example output, matching the fully-executable anchor.

A clear seven-step sequence with explicit validation in Step 6 (YAML validation, glob verification, rule-specificity checks), a final checklist, and an iteration/refine feedback loop for error recovery.

SKILL.md is a concise overview pointing to one-level-deep references, all of which exist as real bundle files (scope_analysis_checklist.md, pattern_construction.md, rule_discovery_checklist.md, context_economics.md, template_examples.md) plus a real scripts/test_glob_pattern.py, with clean navigation in the Resources section.

Lists multiple concrete actions — "Generates path-specific instruction files", "Performs LLM-driven repository analysis to discover file patterns and extract scope-specific rules" — matching the highest anchor.

Explicitly answers both what (generates scoped instruction files with JIT glob loading and rule extraction) and when (an explicit "Use when..." clause), so it is not capped at 2.

Provides natural trigger phrasing a user would say — "scoped, framework-specific, or directory-specific rules for testing, components, docs, config files, or language-specific files" — covering common variations.

Targets a clear niche — path-specific JIT instructions — and the body even redirects global-instruction users to a different skill, making mis-triggering unlikely.