Agent skill · data analytics · aiskillstore
codebase-search
Search and navigate large codebases efficiently. Use when finding specific code patterns, tracing function calls, understanding code structure, or locating bugs. Handles semantic search, grep patterns, AST analysis.
Why this skill is useful
Provides specific grep patterns and semantic search strategies for navigating codebases that the AI wouldn't reliably generate on its own.
What it needs
About 6k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Codebase Search When to use this skill Finding specific functions or classes Tracing function calls and dependencies Understanding code structure and architecture Finding usage examples Identifying code patterns Locating bugs or issues Code archaeology (understanding legacy code) Impact analysis before changes Instructions Step 1: Understand what you're looking for Feature implementation: Where is feature X implemented? How does feature Y work? What files are involved in feature Z? Bug location: Where is this error coming from? What code handles this case? Where is this data being modified? API usage: How is this API used? Where is this function called? What are examples of using this? Configuration: Where are settings defined? How is this configured? What are the config options? Step 2: Choose search strategy Semantic search (for conceptual questions): Grep (for exact text/patterns): Glob (for file discovery): Step 3: Search workflow 1. Start broad, then narrow: 2. Use directory targeting: 3. Combine searches: Step 4: Common search patterns Find function definition: Find class definition: Find class/function usage: Find imports/requires: Find configuration: Find TODO/FIXME: Find error handling: Step 5: Advanced techniques Trace data flow: Find all callsites of a function: Understand a feature end-to-end: Find related files: Impact analysis: Step 6: Search optimization Use appropriate context: Case sensitivity: File type filtering: Regex patterns: Best practices 1. Start with semantic search: For unfamiliar code or conceptual questions 2. Use grep for precision: When you know exact terms 3. Combine multiple searches: Build understanding incrementally 4. Read surrounding context: Don't just look at matching lines 5. Check file history: Use git blame for context 6. Document findings: Note important discoveries 7. Verify assumptions: Read actual code, don't assume 8. Use directory targeting: Narrow scope when possible 9. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/codebase-search