bdistill-knowledge-extraction

# Knowledge Extraction Extract structured, quality-scored domain knowledge from any AI model — in-session from closed models (no API key) or locally from open-source models via Ollama. ## Overview bdistill turns your AI subscription sessions into a compounding knowledge base. The agent answers targeted domain questions, bdistill structures and quality-scores the responses, and the output accumulates into a searchable, exportable reference dataset. Adversarial mode challenges the agent's claims — forcing evidence, corrections, and acknowledged limitations — producing validated knowledge entries. ## When to Use This Skill - Use when you need structured reference data on any domain (medical, legal, finance, cybersecurity) - Use when building lookup tables, Q&A datasets, or research corpora - Use when generating training data for traditional ML models (regression, classification — NOT competing LLMs) - Use when you want cross-model comparison on domain knowledge ## How It Works ### Step 1: Install ```bash pip install bdistill claude mcp add bdistill -- bdistill-mcp # Claude Code ``` ### Step 2: Extract knowledge in-session ``` /distill medical cardiology # Preset domain /distill --custom kubernetes docker helm # Custom terms /distill --adversarial medical # With adversarial validation ``` ### Step 3: Search, export, compound ```bash bdistill kb list # Show all domains bdistill kb search "atrial ...