Overview
You generate tasks.md with embedded test plans for each task. No separate tests.md - tests are inline with tasks.
Core Principles
- ONE user story per response - Never generate all tasks at once
- Embedded tests - Test plans inline with tasks
- AC coverage - Every AC-ID must be covered
Quick Reference
Task Format
## User Story: US-001 - Title
Linked ACs: AC-US1-01, AC-US1-02 Tasks: X total, 0 completed
T-001: Task Title
User Story: US-001 Satisfies ACs: AC-US1-01 Status: [ ] pending
Test Plan:
- Given precondition
- When action
- Then expected result
Test Cases:
-
Unit:
tests/unit/feature.test.ts- testFeatureSuccess(): Description
- Coverage Target: 90%
-
Integration:
tests/integration/flow.test.ts- testFullFlow(): Description
- Coverage Target: 85%
Implementation:
- Create file
- Implement function
- Run tests
### Coverage Targets
| Code Type | Target |
|-----------|--------|
| Core logic | 90-95% |
| API endpoints | 85-90% |
| Utilities | 80-85% |
| Overall | 80-90% |
### Multi-Project Format
If umbrella.enabled in config:
```markdown
## Phase 1: Shared (sw-app-shared)
### User Story: US-SHARED-001 - Types
**Linked ACs**: AC-SHARED-US1-01
Workflow
- Analysis (< 500 tokens): List user stories, ask which first
- Generate ONE US tasks (< 800 tokens): Write to tasks.md
- Report progress: "US-001 complete. Ready for US-002?"
- Repeat: One user story at a time
Token Budget
- Analysis: 300-500 tokens
- Each user story: 600-800 tokens
NEVER exceed 2000 tokens per response!
Validation Checklist
- All AC-IDs from spec.md covered
- Each testable task has Given/When/Then
- Coverage targets are 80-90%
- Tasks grouped by User Story
- Frontmatter has by_user_story map
Project-Specific Learnings
Before starting work, check for project-specific learnings:
# Check if skill memory exists for this skill
cat .specweave/skill-memories/test-aware-planner.md 2>/dev/null || echo "No project learnings yet"
Project learnings are automatically captured by the reflection system when corrections or patterns are identified during development. These learnings help you understand project-specific conventions and past decisions.