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Auto Implement Tasks

packages/claude-code-plugin/commands/auto-implement-tasks.md

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Enhanced auto-implementation with intelligent code generation and testing.

Arguments: $ARGUMENTS

Intelligent Auto-Implementation

Advanced implementation with context awareness and quality checks.

1. Pre-Implementation Analysis

Before starting:

  • Analyze task complexity and requirements
  • Check codebase patterns and conventions
  • Identify similar completed tasks
  • Assess test coverage needs
  • Detect potential risks

2. Smart Implementation Strategy

Based on task type and context:

Feature Tasks

  1. Research existing patterns
  2. Design component architecture
  3. Implement with tests
  4. Integrate with system
  5. Update documentation

Bug Fix Tasks

  1. Reproduce issue
  2. Identify root cause
  3. Implement minimal fix
  4. Add regression tests
  5. Verify side effects

Refactoring Tasks

  1. Analyze current structure
  2. Plan incremental changes
  3. Maintain test coverage
  4. Refactor step-by-step
  5. Verify behavior unchanged

3. Code Intelligence

Pattern Recognition

  • Learn from existing code
  • Follow team conventions
  • Use preferred libraries
  • Match style guidelines

Test-Driven Approach

  • Write tests first when possible
  • Ensure comprehensive coverage
  • Include edge cases
  • Performance considerations

4. Progressive Implementation

Step-by-step with validation:

Step 1/5: Setting up component structure ✓
Step 2/5: Implementing core logic ✓
Step 3/5: Adding error handling ⚡ (in progress)
Step 4/5: Writing tests ⏳
Step 5/5: Integration testing ⏳

Current: Adding try-catch blocks and validation...

5. Quality Assurance

Automated checks:

  • Linting and formatting
  • Test execution
  • Type checking
  • Dependency validation
  • Performance analysis

6. Smart Recovery

If issues arise:

  • Diagnostic analysis
  • Suggestion generation
  • Fallback strategies
  • Manual intervention points
  • Learning from failures

7. Post-Implementation

After completion:

  • Generate PR description
  • Update documentation
  • Log lessons learned
  • Suggest follow-up tasks
  • Update task relationships

Result: High-quality, production-ready implementations.