Optimizes code exploration by intercepting bulk file operations and redirecting Claude to use token-efficient semantic search.
The Search Interceptor skill monitors and redirects Claude's behavior during codebase exploration to prevent inefficient sequential file reads and broad glob patterns. By enforcing a semantic-first protocol using claudemem, it minimizes token consumption and prevents 'tool familiarity bias,' ensuring the AI identifies the most relevant code chunks across the entire repository rather than just the files it manually selects. This skill is essential for maintaining performance and accuracy when working within large, complex projects where manual file traversal is prohibitively expensive.
主な機能
01Broad glob pattern detection and redirection
02Automatic interception of bulk file reads (3+ files)
03Semantic search validation via claudemem
04Token consumption optimization
05Intelligent tool selection decision matrix
06177 GitHub stars
ユースケース
01Preventing token waste when exploring large authentication or API modules
02Breaking AI habits of sequential file reading during initial project onboarding
03Auditing complex codebases where relevant logic is scattered across many directories