Fabric AI Patterns

Fabric Basic Operations & Command Guide

Switch Pattern Mnemonic Description & Example Real-World Use Case
-p analyze_paper “Papers Are Precious” Analyzes academic papers for key points and methodology fabric -p=analyze_paper -v="#text:paste_paper_here"
Researchers reviewing multiple papers quickly
-p create_summary “Summarize Simply” Creates concise summaries of longer texts fabric -p=create_summary -v="#text:long_text"
Executives reviewing long reports
-p extract_wisdom “Wisdom Within” Pulls out key insights and wisdom from content fabric -p=extract_wisdom -v="#text:content"
Content creators distilling key points
-p analyze_sales_call “Sales Signals” Reviews sales call transcripts for improvement areas fabric -p=analyze_sales_call -v="#text:transcript"
Sales teams improving techniques
-p create_mermaid_visualization “Make Mind Maps” Generates Mermaid diagrams from text descriptions fabric -p=create_mermaid_visualization -v="#text:process"
Developers documenting workflows
-p extract_insights “Insights Inside” Extracts key insights from any content fabric -p=extract_insights -v="#text:content"
Analysts reviewing market reports
-p analyze_threat_report “Threat Thinking” Analyzes security threat reports fabric -p=analyze_threat_report -v="#text:report"
Security teams assessing threats
-p create_5_sentence_summary “Five Fast Facts” Creates ultra-concise 5-sentence summaries fabric -p=create_5_sentence_summary -v="#text:content"
Quick briefings for busy teams
-p extract_predictions “Predict Patterns” Identifies predictions and forecasts in content fabric -p=extract_predictions -v="#text:content"
Strategic planning teams
-p analyze_personality “Person Patterns” Analyzes personality traits from text fabric -p=analyze_personality -v="#text:content"
HR teams reviewing applications

Common Option Switches

Switch Mnemonic What It Does Example Use
-t “Temperature Tuning” Adjusts creativity (0.0-1.0) fabric -p=create_summary -t=0.8
-c “Copy Clip” Copies output to clipboard fabric -p=extract_wisdom -c
-o “Output Outside” Saves output to file fabric -p=analyze_paper -o=analysis.md
-s “Stream Steady” Streams output in real-time fabric -p=create_summary -s
-l “List Library” Lists all available patterns fabric -l
-m “Model Mode” Chooses AI model fabric -p=analyze_paper -m=gpt-4

Advanced Operations

Pattern Mnemonic Purpose Example Command
create_pattern “Pattern Producer” Creates new Fabric patterns fabric -p=create_pattern -v="#description:new pattern"
extract_wisdom_agents “Wisdom Workers” Uses multiple AI agents for deeper analysis fabric -p=extract_wisdom_agents -v="#text:content"
create_recursive_outline “Recursive Researcher” Creates nested outlines fabric -p=create_recursive_outline -v="#text:topic"
analyze_military_strategy “Military Mind” Analyzes strategic decisions fabric -p=analyze_military_strategy -v="#text:strategy"

YouTube Operations

Command Mnemonic Purpose Example
-y “YouTube Yielder” Extracts YouTube content fabric -y "video_url" -p=extract_wisdom
–comments “Comment Collector” Analyzes video comments fabric -y "video_url" --comments
–transcript “Transcript Taker” Grabs video transcript fabric -y "video_url" --transcript

Context & Session Management

Switch Mnemonic Purpose Example
-C “Context Keeper” Sets conversation context fabric -C=business -p=analyze_paper
-w “Wipe Workspace” Clears current context fabric -w
-W “Wipe Whole Session” Clears entire session fabric -W

Tips for Remembering Commands

  1. Pattern Prefix: All pattern-based commands start with -p=
  2. Variable Values: Use -v="#variable:value" format
  3. Output Options: Think “out” for -o (output to file)
  4. Context Control: Capital -C for Context, lowercase -w for wipe
  5. YouTube Tools: -y for YouTube, always needs URL in quotes

Best Practices

  1. Start with -l to list available patterns
  2. Use -h for help on any command
  3. Test with small inputs before large batches
  4. Save important outputs with -o
  5. Use -c for quick clipboard access
  6. Adjust temperature (-t) for creativity vs precision

Attribution

This content is based on and inspired by:

  • Fabric AI Documentation (https://github.com/danielmiessler/fabric)
  • Daniel Miessler’s Work (https://danielmiessler.com)

License

This content is licensed under MIT and includes modifications and additions by AI REI Teachings.

Last updated: March 2024