bdistill-knowledge-extraction
Extract structured domain knowledge from AI models in-session or from local open-source models via Ollama. No API key needed.
Profile →npx skills add sickn33/agentic-awesome-skills --skill bdistill-knowledge-extraction --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 --cust
- Overview
- When to Use This Skill
- How It Works
- Step 1: Install
- Step 2: Extract knowledge in-session
- Step 3: Search, export, compound
- Output Format
- Tabular ML Data Generation
- Local Model Extraction (Ollama)
- Security & Safety Notes
- Related Skills
- Limitations
pip install bdistill claude mcp add bdistill -- bdistill-mcp # Claude Code bdistill kb list # Show all domains bdistill kb search "atrial fibrillation" # Keyword search bdistill kb export -d medical -f csv # Export as spreadsheet bdistill kb export -d medical -f markdown # Readable knowledge document Install Ollama from https://ollama.com ollama serve ollama pull qwen3:4b bdistill extract --domain medical --model qwen3:4b
What does the bdistill-knowledge-extraction skill do?
Extract structured domain knowledge from AI models in-session or from local open-source models via Ollama. No API key needed.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill bdistill-knowledge-extraction --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.