warp-task-master
Version:
BETA: Experimental Task Master fork with Warp AI integration and human-readable profile names. For production use, see task-master-ai.
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Markdown
Intelligently determine and prepare the next action based on comprehensive context.
This enhanced version of 'next' considers:
- Current task states
- Recent activity
- Time constraints
- Dependencies
- Your working patterns
Arguments: $ARGUMENTS
## Intelligent Next Action
### 1. **Context Gathering**
Let me analyze the current situation:
- Active tasks (in-progress)
- Recently completed tasks
- Blocked tasks
- Time since last activity
- Arguments provided: $ARGUMENTS
### 2. **Smart Decision Tree**
**If you have an in-progress task:**
- Has it been idle > 2 hours? → Suggest resuming or switching
- Near completion? → Show remaining steps
- Blocked? → Find alternative task
**If no in-progress tasks:**
- Unblocked high-priority tasks? → Start highest
- Complex tasks need breakdown? → Suggest expansion
- All tasks blocked? → Show dependency resolution
**Special arguments handling:**
- "quick" → Find task < 2 hours
- "easy" → Find low complexity task
- "important" → Find high priority regardless of complexity
- "continue" → Resume last worked task
### 3. **Preparation Workflow**
Based on selected task:
1. Show full context and history
2. Set up development environment
3. Run relevant tests
4. Open related files
5. Show similar completed tasks
6. Estimate completion time
### 4. **Alternative Suggestions**
Always provide options:
- Primary recommendation
- Quick alternative (< 1 hour)
- Strategic option (unblocks most tasks)
- Learning option (new technology/skill)
### 5. **Workflow Integration**
Seamlessly connect to:
- `/project:task-master:start [selected]`
- `/project:workflows:auto-implement`
- `/project:task-master:expand` (if complex)
- `/project:utils:complexity-report` (if unsure)
The goal: Zero friction from decision to implementation.