Customization & Extension
AI Task Manager is built for extensibility. Every aspect of the task management workflow can be tailored to your project’s specific needs through customizable hooks, templates, and configuration files.
Why Customize?
Out-of-the-box, AI Task Manager provides a solid foundation for structured AI-assisted development. Customization unlocks its full potential:
- Project-Specific Quality Gates: Add TypeScript compilation, test coverage thresholds, security scans, or performance benchmarks
- Domain-Specific Templates: Include acceptance criteria relevant to your industry (HIPAA compliance, GDPR requirements, accessibility standards)
- Team Consistency: Encode your organization’s best practices into templates and hooks
- Tool Integration: Connect with existing CI/CD pipelines, testing frameworks, or documentation systems
- Workflow Patterns: Create reusable patterns for common project types (React apps, REST APIs, data pipelines)
What You’ll Learn
In this section:
- Customization Guide: Tailor hooks and templates to your project
- Workflow Patterns: Advanced patterns for complex projects
Customization Points
Hooks System
Seven lifecycle hooks inject custom logic at key points in the workflow. All hooks are Markdown files in .ai/task-manager/config/hooks/:
- PRE_PLAN: Pre-planning guidance
- PRE_PHASE: Phase preparation logic
- POST_PHASE: Validation gates after each phase
- POST_PLAN: Plan validation
- POST_TASK_GENERATION_ALL: Task complexity analysis and blueprint generation
- PRE_TASK_ASSIGNMENT: Agent selection based on skills
- POST_ERROR_DETECTION: Error handling procedures
Templates System
Five customizable templates structure artifacts in .ai/task-manager/config/templates/:
- PLAN_TEMPLATE.md: Strategic planning structure
- TASK_TEMPLATE.md: Individual task documents
- BLUEPRINT_TEMPLATE.md: Phase-based execution plans
- EXECUTION_SUMMARY_TEMPLATE.md: Post-completion documentation
- fix-broken-tests.md: Test integrity enforcement
Configuration Files
- TASK_MANAGER.md: Project context for AI assistants
- Scripts: Custom ID generation logic
Next Steps
Start with the Customization Guide for detailed examples and real-world scenarios, then explore Workflow Patterns for advanced usage.