chore: Add changeset for scope-up and scope-down features
- Comprehensive user-facing description with usage examples - Key features and benefits explanation - CLI and MCP integration details - Real-world use cases for agile workflows
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Ralph Khreish
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.changeset/floppy-news-buy.md
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.changeset/floppy-news-buy.md
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"task-master-ai": patch
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Add new `scope-up` and `scope-down` commands for dynamic task complexity adjustment
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This release introduces two powerful new commands that allow you to dynamically adjust the complexity of your tasks and subtasks without recreating them from scratch.
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**New CLI Commands:**
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- `task-master scope-up` - Increase task complexity (add more detail, requirements, or implementation steps)
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- `task-master scope-down` - Decrease task complexity (simplify, remove unnecessary details, or streamline)
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**Key Features:**
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- **Multiple tasks**: Support comma-separated IDs to adjust multiple tasks at once (`--id=5,7,12`)
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- **Strength levels**: Choose adjustment intensity with `--strength=light|regular|heavy` (defaults to regular)
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- **Custom prompts**: Use `--prompt` flag to specify exactly how you want tasks adjusted
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- **MCP integration**: Available as `scope_up_task` and `scope_down_task` tools in Cursor and other MCP environments
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- **Smart context**: AI considers your project context and task dependencies when making adjustments
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**Usage Examples:**
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```bash
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# Make a task more detailed
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task-master scope-up --id=5
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# Simplify multiple tasks with light touch
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task-master scope-down --id=10,11,12 --strength=light
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# Custom adjustment with specific instructions
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task-master scope-up --id=7 --prompt="Add more error handling and edge cases"
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```
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**Why use this?**
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- **Iterative refinement**: Adjust task complexity as your understanding evolves
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- **Project phase adaptation**: Scale tasks up for implementation, down for planning
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- **Team coordination**: Adjust complexity based on team member experience levels
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- **Milestone alignment**: Fine-tune tasks to match project phase requirements
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Perfect for agile workflows where task requirements change as you learn more about the problem space.
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