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Consolidate workflows and tools from commands repository
Repository Restructure: - Move all 83 agent .md files to agents/ subdirectory - Add 15 workflow orchestrators from commands repo to workflows/ - Add 42 development tools from commands repo to tools/ - Update README for unified repository structure This prepares the repository for unified plugin marketplace integration. The commands repository functionality is now fully integrated, providing complete workflow orchestration and development tooling alongside agents. Directory Structure: - agents/ - 83 specialized AI agents - workflows/ - 15 multi-agent orchestration commands - tools/ - 42 focused development utilities No breaking changes to agent functionality - all agents remain accessible with same names and behavior. Adds workflow and tool commands for enhanced multi-agent coordination capabilities.
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tools/smart-debug.md
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---
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model: claude-sonnet-4-0
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---
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Debug complex issues using specialized debugging agents:
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[Extended thinking: This tool command leverages the debugger agent with additional support from performance-engineer when performance issues are involved. It provides deep debugging capabilities with root cause analysis.]
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## Debugging Approach
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### 1. Primary Debug Analysis
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Use Task tool with subagent_type="debugger" to:
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- Analyze error messages and stack traces
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- Identify code paths leading to the issue
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- Reproduce the problem systematically
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- Isolate the root cause
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- Suggest multiple fix approaches
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Prompt: "Debug issue: $ARGUMENTS. Provide detailed analysis including:
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1. Error reproduction steps
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2. Root cause identification
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3. Code flow analysis leading to the error
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4. Multiple solution approaches with trade-offs
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5. Recommended fix with implementation details"
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### 2. Performance Debugging (if performance-related)
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If the issue involves performance problems, also use Task tool with subagent_type="performance-engineer" to:
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- Profile code execution
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- Identify bottlenecks
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- Analyze resource usage
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- Suggest optimization strategies
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Prompt: "Profile and debug performance issue: $ARGUMENTS. Include:
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1. Performance metrics and profiling data
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2. Bottleneck identification
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3. Resource usage analysis
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4. Optimization recommendations
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5. Before/after performance projections"
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## Debug Output Structure
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### Root Cause Analysis
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- Precise identification of the bug source
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- Explanation of why the issue occurs
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- Impact analysis on other components
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### Reproduction Guide
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- Step-by-step reproduction instructions
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- Required environment setup
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- Test data or conditions needed
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### Solution Options
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1. **Quick Fix** - Minimal change to resolve issue
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- Implementation details
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- Risk assessment
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2. **Proper Fix** - Best long-term solution
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- Refactoring requirements
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- Testing needs
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3. **Preventive Measures** - Avoid similar issues
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- Code patterns to adopt
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- Tests to add
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### Implementation Guide
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- Specific code changes needed
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- Order of operations for the fix
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- Validation steps
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Issue to debug: $ARGUMENTS
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