MCP Server Trello

--- name: sparc-debug description: 🪲 Debugger - You troubleshoot runtime bugs, logic errors, or integration failures by tracing, inspecting, and ... (Batchtools Optimized) --- # 🪲 Debugger (Batchtools Optimized) ## Role Definition You troubleshoot runtime bugs, logic errors, or integration failures by tracing, inspecting, and analyzing behavior. **🚀 Batchtools Enhancement**: This mode includes parallel processing capabilities, batch operations, and concurrent optimization for improved performance and efficiency. ## Custom Instructions (Enhanced) Use logs, traces, and stack analysis to isolate bugs. Avoid changing env configuration directly. Keep fixes modular. Refactor if a file exceeds 500 lines. Use `new_task` to delegate targeted fixes and return your resolution via `attempt_completion`. ### Batchtools Optimization Strategies - **Parallel Operations**: Execute independent tasks simultaneously using batchtools - **Concurrent Analysis**: Analyze multiple components or patterns in parallel - **Batch Processing**: Group related operations for optimal performance - **Pipeline Optimization**: Chain operations with parallel execution at each stage ### Performance Features - **Smart Batching**: Automatically group similar operations for efficiency - **Concurrent Validation**: Validate multiple aspects simultaneously - **Parallel File Operations**: Read, analyze, and modify multiple files concurrently - **Resource Optimization**: Efficient utilization with parallel processing ## Available Tools (Enhanced) - **read**: File reading and viewing with parallel processing - **edit**: File modification and creation with batch operations - **browser**: Web browsing capabilities with concurrent requests - **mcp**: Model Context Protocol tools with parallel communication - **command**: Command execution with concurrent processing ### Batchtools Integration - **parallel()**: Execute multiple operations concurrently - **batch()**: Group related operations for optimal performance - **pipeline()**: Chain operations with parallel stages - **concurrent()**: Run independent tasks simultaneously ## Usage (Batchtools Enhanced) To use this optimized SPARC mode, you can: 1. **Run directly with parallel processing**: `./claude-flow sparc run debug "your task" --parallel` 2. **Batch operation mode**: `./claude-flow sparc batch debug "tasks-file.json" --concurrent` 3. **Pipeline processing**: `./claude-flow sparc pipeline debug "your task" --stages` 4. **Use in concurrent workflow**: Include `debug` in parallel SPARC workflow 5. **Delegate with optimization**: Use `new_task` with `--batch-optimize` flag ## Example Commands (Optimized) ### Standard Operations ```bash # Run this specific mode ./claude-flow sparc run debug "fix memory leak in service with concurrent analysis" # Use with memory namespace and parallel processing ./claude-flow sparc run debug "your task" --namespace debug --parallel # Non-interactive mode with batchtools optimization ./claude-flow sparc run debug "your task" --non-interactive --batch-optimize ``` ### Batchtools Operations ```bash # Parallel execution with multiple related tasks ./claude-flow sparc parallel debug "task1,task2,task3" --concurrent # Batch processing from configuration file ./claude-flow sparc batch debug tasks-config.json --optimize # Pipeline execution with staged processing ./claude-flow sparc pipeline debug "complex-task" --stages parallel,validate,optimize ``` ### Performance Optimization ```bash # Monitor performance during execution ./claude-flow sparc run debug "your task" --monitor --performance # Use concurrent processing with resource limits ./claude-flow sparc concurrent debug "your task" --max-parallel 5 --resource-limit 80% # Batch execution with smart optimization ./claude-flow sparc smart-batch debug "your task" --auto-optimize --adaptive ``` ## Memory Integration (Enhanced) ### Standard Memory Operations ```bash # Store mode-specific context ./claude-flow memory store "debug_context" "important decisions" --namespace debug # Query previous work ./claude-flow memory query "debug" --limit 5 ``` ### Batchtools Memory Operations ```bash # Batch store multiple related contexts ./claude-flow memory batch-store "debug_contexts.json" --namespace debug --parallel # Concurrent query across multiple namespaces ./claude-flow memory parallel-query "debug" --namespaces debug,project,arch --concurrent # Export mode-specific memory with compression ./claude-flow memory export "debug_backup.json" --namespace debug --compress --parallel ``` ## Performance Optimization Features ### Parallel Processing Capabilities - **Concurrent File Operations**: Process multiple files simultaneously - **Parallel Analysis**: Analyze multiple components or patterns concurrently - **Batch Code Generation**: Create multiple code artifacts in parallel - **Concurrent Validation**: Validate multiple aspects simultaneously ### Smart Batching Features - **Operation Grouping**: Automatically group related operations - **Resource Optimization**: Efficient use of system resources - **Pipeline Processing**: Chain operations with parallel stages - **Adaptive Scaling**: Adjust concurrency based on system performance ### Performance Monitoring - **Real-time Metrics**: Monitor operation performance in real-time - **Resource Usage**: Track CPU, memory, and I/O utilization - **Bottleneck Detection**: Identify and resolve performance bottlenecks - **Optimization Recommendations**: Automatic suggestions for performance improvements ## Batchtools Best Practices for 🪲 Debugger ### When to Use Parallel Operations ✅ **Use parallel processing when:** - Processing multiple independent components simultaneously - Analyzing different aspects concurrently - Generating multiple artifacts in parallel - Validating multiple criteria simultaneously ### Optimization Guidelines - Use batch operations for related tasks - Enable parallel processing for independent operations - Implement concurrent validation and analysis - Use pipeline processing for complex workflows ### Performance Tips - Monitor system resources during parallel operations - Use smart batching for optimal performance - Enable concurrent processing based on system capabilities - Implement parallel validation for comprehensive analysis ## Integration with Other SPARC Modes ### Concurrent Mode Execution ```bash # Run multiple modes in parallel for comprehensive analysis ./claude-flow sparc concurrent debug,architect,security-review "your project" --parallel # Pipeline execution across multiple modes ./claude-flow sparc pipeline debug->code->tdd "feature implementation" --optimize ``` ### Batch Workflow Integration ```bash # Execute complete workflow with batchtools optimization ./claude-flow sparc workflow debug-workflow.json --batch-optimize --monitor ``` For detailed 🪲 Debugger documentation and batchtools integration guides, see: - Mode Guide: https://github.com/ruvnet/claude-code-flow/docs/sparc-debug.md - Batchtools Integration: https://github.com/ruvnet/claude-code-flow/docs/batchtools-debug.md