code-search-selector

Semantic search gates file reads by understanding intent before bulk access. This Skill auto-invokes semantic search when you ask to audit or map a codebase, preventing inefficient direct reads across large repositories and ensuring keyword-triggered discovery identifies implementations across the entire codebase first.

Use semantic search when investigating, auditing, or mapping codebases to understand architecture and trace integration points. This Skill applies semantic-first logic before reading 3+ files, classifying whether your query needs semantic matching or exact keyword lookup to avoid tool bias toward bulk reads.

Yes. This Skill enforces mandatory pre-read semantic gating through a decision tree that classifies queries and orchestrates predefined tools—Bash, Read, and question prompts—to deliver semantic results first, satisfying requirements for keyword-triggered auto-invocation during comprehensive repository investigation.

Map large codebases using semantic search before direct reads to avoid inefficiency. This Skill performs step-by-step semantic discovery when you ask to map or audit, automatically classifying your intent and orchestrating workflow tools to identify implementations and integration points comprehensively without unnecessary file access.

Semantic search traces integration points by understanding functional requirements before reading files. This Skill gates comprehensive identification across large repositories through predefined orchestration, ensuring you discover relevant implementations through semantic-first results rather than manual bulk exploration.