task-planning

Solid

Generate phased, dependency-ordered tasks from specifications with parallelization opportunities and tech-stack patterns.

AI & Automation 294 stars 26 forks Updated today MIT

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Skill Content

# Task Planning ## Overview Transforms specifications and implementation plans into actionable, dependency-ordered tasks. Creates phased breakdowns that guide systematic implementation. ## When To Use - Converting specifications to implementation tasks - Planning feature implementation order - Identifying parallel execution opportunities - Breaking down complex features into phases ## When NOT To Use - Writing specifications - use spec-writing ## Task Phases Tasks follow a 5-phase structure from setup through polish: - **Phase 0: Setup** - Project initialization, dependencies, configuration - **Phase 1: Foundation** - Data models, interfaces, test infrastructure - **Phase 2: Core Implementation** - Business logic, APIs, services - **Phase 3: Integration** - External services, middleware, logging - **Phase 4: Polish** - Optimization, documentation, final testing For detailed phase definitions, selection guidelines, and anti-patterns, see `modules/phase-structure.md`. ## Task Format Each task includes: - **ID**: Unique identifier (TASK-001) - **Description**: Clear action statement - **Phase**: Which phase it belongs to - **Dependencies**: Tasks that must complete first - **Parallel Marker**: [P] if can run concurrently - **Files**: Affected file paths - **Criteria**: How to verify completion ## Dependency Rules Dependencies define execution order and identify parallelization opportunities: - **Sequential Tasks**: Execute in strict order when dependencies exist -...

Details

Author
athola
Repository
athola/claude-night-market
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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