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https://github.com/catlog22/Claude-Code-Workflow.git
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79a2953862
- Implement full coverage tests for Embedder model loading and embedding generation - Add CRUD operations and caching tests for VectorStore - Include cosine similarity computation tests - Validate semantic search accuracy and relevance through various queries - Establish performance benchmarks for embedding and search operations - Ensure edge cases and error handling are covered - Test thread safety and concurrent access scenarios - Verify availability of semantic search dependencies
25 lines
647 B
Plaintext
25 lines
647 B
Plaintext
PURPOSE: Generate semantic summaries and search keywords for code files
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TASK:
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- For each code block, generate a concise summary (1-2 sentences)
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- Extract 5-10 relevant search keywords
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- Identify the functional purpose/category
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MODE: analysis
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EXPECTED: JSON format output
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=== CODE BLOCKS ===
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[FILE: auth.py]
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```python
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def auth(): pass
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```
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=== OUTPUT FORMAT ===
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Return ONLY valid JSON (no markdown, no explanation):
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{
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"files": {
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"<file_path>": {
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"summary": "Brief description of what this code does",
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"keywords": ["keyword1", "keyword2", ...],
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"purpose": "category like: auth, api, util, ui, data, config, test"
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}
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}
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} |