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claude-task-master/assets/claude/commands/tm/workflows/auto-implement-tasks.md
Joe Danziger 95c299df64 Unify and streamline profile system architecture (#853) 
* move claude rules and commands to assets/claude

* update claude profile to copy assets/claude to .claude

* fix formatting

* feat(profiles): Implement unified profile system

- Convert Claude and Codex profiles to use createProfile() factory
- Remove simple vs complex profile distinction in rule transformer
- Unify convertAllRulesToProfileRules() to handle all profiles consistently
- Fix mcpConfigPath construction in base-profile.js for null mcpConfigName
- Update terminology from 'simpleProfiles' to 'assetOnlyProfiles' throughout
- Ensure Claude .claude directory copying works in both CLI and MCP contexts
- All profiles now follow same execution flow with proper lifecycle functions

Changes:
- src/profiles/claude.js: Convert to createProfile() factory pattern
- src/profiles/codex.js: Convert to createProfile() factory pattern
- src/utils/rule-transformer.js: Unified profile handling logic
- src/utils/profiles.js: Remove simple profile categorization
- src/profiles/base-profile.js: Fix mcpConfigPath construction
- scripts/modules/commands.js: Update variable naming
- tests/: Update all tests for unified system and terminology

Fixes Claude profile asset copying issue in MCP context.
All tests passing (617 passed, 11 skipped).

* re-checkin claude files

* fix formatting

* chore: clean up test Claude rules files

* chore: add changeset for unified profile system

* add claude files back

* add changeset

* restore proper gitignore

* remove claude agents file from root

* remove incorrect doc

* simplify profiles and update tests

* update changeset

* update changeset

* remove profile specific code

* streamline profiles with defaults and update tests

* update changeset

* add newline at end of gitignore

* restore changes

* streamline profiles with defaults; update tests and add vscode test

* update rule profile tests

* update wording for clearer profile management

* refactor and clarify terminology

* use original projectRoot var name

* revert param desc

* use updated claude assets from neno

* add "YOUR_" before api key here

* streamline codex profile

* add gemini profile

* update gemini profile

* update tests

* relocate function

* update rules interactive setup Gemini desc

* remove duplicative code

* add comma
2025-07-09 13:22:11 +02:00

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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.