2c1acda2f3
- Update DQN trainer with gradient collapse detection warmup - Add portfolio tracker improvements - Include hyperopt trial results (multiple Sharpe ratio experiments) - Add new test files for action/position sign convention, early stopping, cash reserve bugs, and portfolio execution - Update trained model files - Add Claude Code configuration and skills 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
1.2 KiB
1.2 KiB
SPARC Analyzer Mode
Purpose
Deep code and data analysis with batch processing capabilities.
Activation
Option 1: Using MCP Tools (Preferred in Claude Code)
mcp__claude-flow__sparc_mode {
mode: "analyzer",
task_description: "analyze codebase performance",
options: {
parallel: true,
detailed: true
}
}
Option 2: Using NPX CLI (Fallback when MCP not available)
# Use when running from terminal or MCP tools unavailable
npx claude-flow sparc run analyzer "analyze codebase performance"
# For alpha features
npx claude-flow@alpha sparc run analyzer "analyze codebase performance"
Option 3: Local Installation
# If claude-flow is installed locally
./claude-flow sparc run analyzer "analyze codebase performance"
Core Capabilities
- Code analysis with parallel file processing
- Data pattern recognition
- Performance profiling
- Memory usage analysis
- Dependency mapping
Batch Operations
- Parallel file analysis using concurrent Read operations
- Batch pattern matching with Grep tool
- Simultaneous metric collection
- Aggregated reporting
Output Format
- Detailed analysis reports
- Performance metrics
- Improvement recommendations
- Visualizations when applicable