206 lines
6.2 KiB
Markdown
206 lines
6.2 KiB
Markdown
---
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description: Search indexed codebase using natural language semantic search
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argument-hint: <query>
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allowed-tools: Bash, Read
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disable-model-invocation: true
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---
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# search - Semantic search in current directory
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Search the current directory's semantic index using natural language queries.
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## Usage
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```
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/semq:search <query>
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```
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**Arguments:**
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- `query` - Natural language description of what to find (required)
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## What It Does
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1. Finds `.odino` directory by traversing up from current directory
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2. Runs `odino query` from the index location
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3. Parses and formats results with scores and file paths
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4. Optionally reads top results for context
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5. Suggests using code-pointer to open relevant files
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## Examples
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**Find error handling (conceptual):**
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```
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User: /semq:search error handling
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Claude infers: "error handling exception management try catch validation"
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Results:
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓
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┃ File ┃ Score ┃
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┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩
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│ knowledge/Error Handling.md │ 0.876 │
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│ → "Error handling is the process of..."
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│ → Shows: Key Concepts, Best Practices
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│
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│ middleware/errorHandler.js │ 0.745 │
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│ → Shows: Global error handler implementation
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└─────────────────────────────────┴──────────┘
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Claude reads top result and summarizes key concepts.
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```
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**Find database code:**
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```
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User: /semq:search DB connection code
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Claude infers query with Python example:
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"database connection pooling setup
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import mysql.connector
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pool = mysql.connector.pooling.MySQLConnectionPool(
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pool_name='mypool',
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pool_size=5,
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host='localhost'
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)
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connection = pool.get_connection()"
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Results:
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓
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┃ File ┃ Score ┃
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┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩
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│ src/db/connection.js │ 0.924 │
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│ → const pool = mysql.createPool({...})
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│ → Shows: Connection pooling config with env vars
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│ → Includes: Error handling and testing
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└─────────────────────────────────┴──────────┘
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Claude shows code snippet and explains pooling strategy.
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```
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**Find algorithms:**
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```
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User: /semq:search BFS algorithm Python
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Claude infers query with code:
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"breadth first search BFS graph traversal
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def bfs(graph, start):
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visited = set()
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queue = [start]
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while queue:
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node = queue.pop(0)
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if node not in visited:
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visited.add(node)
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queue.extend(graph[node])"
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Results:
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓
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┃ File ┃ Score ┃
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┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩
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│ knowledge/Search Algorithms.md │ 0.891 │
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│ → Types: Uninformed (BFS, DFS) vs Informed (A*, Greedy)
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│ → When to use each algorithm
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│ → Includes mermaid diagram
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└─────────────────────────────────┴──────────┘
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Claude reads note and explains algorithm categories.
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```
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## Implementation
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Use the directory traversal helper to find the index, then run the search:
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```bash
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# Helper function to find .odino directory
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find_odino_root() {
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local dir="$PWD"
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while [[ "$dir" != "/" ]]; do
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if [[ -d "$dir/.odino" ]]; then
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echo "$dir"
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return 0
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fi
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dir="$(dirname "$dir")"
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done
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return 1
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}
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# Get query from arguments
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QUERY="$*"
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if [[ -z "$QUERY" ]]; then
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echo "Error: Query required"
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echo "Usage: /semq:search <query>"
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exit 1
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fi
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# Find index and search
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if ODINO_ROOT=$(find_odino_root); then
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echo "Searching in: $ODINO_ROOT"
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echo ""
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# Run search
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RESULTS=$(cd "$ODINO_ROOT" && odino query -q "$QUERY" 2>&1)
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if [[ $? -eq 0 ]]; then
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echo "$RESULTS"
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echo ""
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echo "💡 Tip: Use code-pointer to open files at specific lines"
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else
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echo "Search failed:"
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echo "$RESULTS"
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fi
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else
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echo "No semantic search index found in current path."
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echo ""
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echo "To create an index, run:"
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echo " /semq:index"
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echo ""
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echo "This will index the current directory for semantic search."
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fi
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```
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## Output Format
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Results are shown with similarity scores and file paths:
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```
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Searching in: /home/user/project
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Score: 0.89 | Path: src/auth/middleware.js
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Score: 0.82 | Path: src/auth/jwt.js
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Score: 0.75 | Path: src/middleware/passport.js
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💡 Tip: Use code-pointer to open files at specific lines
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```
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## Score Interpretation
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- **0.85-1.0**: Highly relevant, definitely check this
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- **0.70-0.84**: Likely relevant, worth reviewing
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- **0.60-0.69**: Possibly relevant, may contain related concepts
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- **<0.60**: Weakly related, probably not useful
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## When to Use
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Use `/semq:search` when:
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- You know the directory is indexed
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- You want to find code by describing what it does
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- You're exploring an unfamiliar codebase
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- Grep/glob aren't working (too literal)
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Use `/semq:here` instead when:
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- You're in a subdirectory and want automatic traversal
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- You want to see where the index was found
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## Related Commands
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- `/semq:here <query>` - Search with directory info
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- `/semq:status` - Check if directory is indexed
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- `/semq:index` - Create a new index
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## Tips
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1. **Be conceptual** - Describe what the code does, not exact names
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2. **Use natural language** - "authentication logic" not "auth"
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3. **Check top 3-5 results** - Sometimes #3 is the best match
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4. **Combine with grep** - Use semantic search to find area, grep for specifics
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5. **Read files** - Use Read tool on top results for context
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