feat: Implement adaptive RRF weights and query intent detection

- Added integration tests for adaptive RRF weights in hybrid search.
- Enhanced query intent detection with new classifications: keyword, semantic, and mixed.
- Introduced symbol boosting in search results based on explicit symbol matches.
- Implemented embedding-based reranking with configurable options.
- Added global symbol index for efficient symbol lookups across projects.
- Improved file deletion handling on Windows to avoid permission errors.
- Updated chunk configuration to increase overlap for better context.
- Modified package.json test script to target specific test files.
- Created comprehensive writing style guidelines for documentation.
- Added TypeScript tests for query intent detection and adaptive weights.
- Established performance benchmarks for global symbol indexing.

.claude/skills/project-analyze/phases/02-project-exploration.md

@@ -24,6 +24,7 @@ For each angle, launch an exploration agent:
 ```javascript
 Task({
   subagent_type: "cli-explore-agent",
+  run_in_background: false,
   description: `Explore: ${angle}`,
   prompt: `
 ## Exploration Objective