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https://github.com/A6-9V/MQL5-Google-Onedrive.git
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79 lines
2.5 KiB
Markdown
79 lines
2.5 KiB
Markdown
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# Knowledge Base Helper Script
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This script provides easy access to the project's NotebookLM notebooks and OneDrive Blueprint resources.
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## Usage
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```bash
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python scripts/knowledge_base_helper.py [command] [resource]
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```
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## Commands
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### List all resources
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```bash
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python scripts/knowledge_base_helper.py list
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```
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Displays all available NotebookLM notebooks and OneDrive resources with their URLs and descriptions.
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### Get URL for a specific resource
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```bash
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python scripts/knowledge_base_helper.py url notebooklm_primary
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python scripts/knowledge_base_helper.py url notebooklm_blueprint
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python scripts/knowledge_base_helper.py url onedrive_blueprint
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```
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### Open resource in browser
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```bash
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python scripts/knowledge_base_helper.py open notebooklm_primary
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python scripts/knowledge_base_helper.py open notebooklm_blueprint
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```
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### Display context file
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```bash
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python scripts/knowledge_base_helper.py context
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```
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Shows the contents of `docs/NOTEBOOK_LM_CONTEXT.txt` which contains all URLs and AI agent directives.
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### Show help
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```bash
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python scripts/knowledge_base_helper.py help
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```
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## Available Resources
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- **notebooklm_primary** - Primary NotebookLM context (Main repository documentation)
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- **notebooklm_blueprint** - Blueprint & Strategy NotebookLM (Trading strategies and EA blueprints)
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- **notebooklm_legacy** - Legacy Archive NotebookLM (Historical reference)
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- **onedrive_blueprint** - OneDrive Blueprint Notes (Quick reference and visual diagrams)
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## Examples
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```bash
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# List all available resources
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python scripts/knowledge_base_helper.py list
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# Get the URL for the blueprint notebook
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python scripts/knowledge_base_helper.py url notebooklm_blueprint
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# Open the primary context in your browser
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python scripts/knowledge_base_helper.py open notebooklm_primary
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# View the context file for AI agents
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python scripts/knowledge_base_helper.py context
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```
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## Integration with AI Agents
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This script is particularly useful for AI agents (Gemini, Jules, etc.) that need to:
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1. Access NotebookLM context before starting work
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2. Retrieve specific resource URLs programmatically
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3. Read the AI agent directives from the context file
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AI agents can use this script to ensure they have the latest resource URLs and understand the project context before making changes.
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## Related Documentation
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- [KNOWLEDGE_BASE_INTEGRATION.md](../docs/KNOWLEDGE_BASE_INTEGRATION.md) - Comprehensive integration guide
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- [AGENTS.md](../AGENTS.md) - Agent configuration and guidelines
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- [USER_NOTES.md](../docs/USER_NOTES.md) - User notes and external links
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