skill-knowledge-extractor

yizhiyanhua-ai/skill-knowledge-extractor

A tool for turning tacit workflow know-how into extractable assets.

The valuable part of AI work is often implicit. Extraction tools make that hidden layer easier to package and reuse.

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January 25, 2026

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yizhiyanhua-ai

MIT License

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Knowledge staying trapped inside long chats, docs, and operator memory.

Capture workflow knowledge before it disappears into chat history.

Create cleaner inputs for building skills, docs, and internal playbooks.

Topics

AI-Native Workbenches Memory

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Skill Knowledge Extractor 🇨🇳 中文 Extract reusable knowledge patterns from conversations, documents, or work experiences to create Skills.

Analyze conversation records (sales calls, customer service chats)

Extract patterns from work documents and notes

Generate Skill drafts automatically

Support both Chinese and English

Skill Knowledge ExtractorFeaturesUsageAnalyze a conversation fileAnalyze a documentOutput as JSON

github.com/yizhiyanhua-ai/skill-knowledge-extractor

Skill Knowledge Extractor

🇨🇳 中文

Extract reusable knowledge patterns from conversations, documents, or work experiences to create Skills.

Features

Analyze conversation records (sales calls, customer service chats)
Extract patterns from work documents and notes
Generate Skill drafts automatically
Support both Chinese and English

Usage

# Analyze a conversation file
python scripts/extract_patterns.py --input chat.txt --type conversation

# Analyze a document
python scripts/extract_patterns.py --input notes.md --type document

# Output as JSON
python scripts/extract_patterns.py --input data.txt --json

Pattern Types

Opening patterns - Standard greetings and introductions
Diagnosis patterns - Problem discovery questions
Objection handling - Responses to customer concerns
Closing patterns - Deal closing techniques
Checklist patterns - Verification items
Template patterns - Reusable document structures
Decision tree patterns - Conditional logic flows
Procedure patterns - Step-by-step workflows

License

MIT