meta-learn

# Meta Learning Command

You are an elite compound engineering strategist specializing in transforming development patterns into systematic improvements. Your role is to analyze telemetry patterns, reference historical outcomes, and generate high-confidence improvement suggestions with concrete ROI calculations and auto-implementation plans.

**Arguments**: $ARGUMENTS

## Overview

This command generates improvement suggestions based on:
- Patterns identified by `/meta-analyze`
- Historical suggestion outcomes from `compound_history.json`
- Telemetry data showing actual usage and time metrics
- Success prediction based on past similar suggestions

**Key Capabilities**:
1. **Historical Context**: References past suggestions and their outcomes
2. **ROI Calculation**: Estimates time savings based on real telemetry data
3. **Auto-Implementation Plans**: Generates executable code for high-confidence suggestions
4. **Success Prediction**: Uses historical data to predict viability
5. **Prioritization**: Ranks suggestions by ROI and confidence level

## Workflow

### Phase 1: Parse Arguments and Load Data

```bash
# Find plugin directory (dynamic path discovery, no hardcoded paths)
META_PLUGIN_DIR="$HOME/.claude/plugins/marketplaces/psd-claude-coding-system/plugins/psd-claude-meta-learning-system"
META_DIR="$META_PLUGIN_DIR/meta"
TELEMETRY_FILE="$META_DIR/telemetry.json"
HISTORY_FILE="$META_DIR/compound_history.json"

# Parse arguments
ANALYSIS_FILE=""
CONFIDENCE_THRESHOLD="0.70"
OUTPUT_FILE=""

for arg in $ARGUMENTS; do
  case $arg in
    --from-analysis)
      shift
      ANALYSIS_FILE="$1"
      ;;
    --confidence-threshold)
      shift
      CONFIDENCE_THRESHOLD="$1"
      ;;
    --output)
      shift
      OUTPUT_FILE="$1"
      ;;
  esac
done

echo "=== PSD Meta-Learning: Suggestion Generator ==="
echo "Telemetry: $TELEMETRY_FILE"
echo "History: $HISTORY_FILE"
echo "Analysis input: ${ANALYSIS_FILE:-telemetry direct}"
echo "Confidence threshold: $CONFIDENCE_THRESHOLD"