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164 lines
6.5 KiB
Plaintext
164 lines
6.5 KiB
Plaintext
---
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title: "Task Structure"
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sidebarTitle: "Task Structure"
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description: "Tasks in Task Master follow a specific format designed to provide comprehensive information for both humans and AI assistants."
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---
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## Task Fields in tasks.json
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Tasks in tasks.json have the following structure:
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| Field | Description | Example |
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| -------------- | ---------------------------------------------- | ------------------------------------------------------ |
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| `id` | Unique identifier for the task. | `1` |
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| `title` | Brief, descriptive title. | `"Initialize Repo"` |
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| `description` | What the task involves. | `"Create a new repository, set up initial structure."` |
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| `status` | Current state. | `"pending"`, `"done"`, `"deferred"` |
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| `dependencies` | Prerequisite task IDs. ✅ Completed, ⏱️ Pending | `[1, 2]` |
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| `priority` | Task importance. | `"high"`, `"medium"`, `"low"` |
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| `details` | Implementation instructions. | `"Use GitHub client ID/secret, handle callback..."` |
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| `testStrategy` | How to verify success. | `"Deploy and confirm 'Hello World' response."` |
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| `subtasks` | Nested subtasks related to the main task. | `[{"id": 1, "title": "Configure OAuth", ...}]` |
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## Task File Format
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Individual task files follow this format:
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```
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# Task ID: <id>
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# Title: <title>
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# Status: <status>
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# Dependencies: <comma-separated list of dependency IDs>
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# Priority: <priority>
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# Description: <brief description>
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# Details:
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<detailed implementation notes>
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# Test Strategy:
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<verification approach>
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```
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## Features in Detail
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<AccordionGroup>
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<Accordion title="Analyzing Task Complexity">
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The `analyze-complexity` command:
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- Analyzes each task using AI to assess its complexity on a scale of 1-10
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- Recommends optimal number of subtasks based on configured DEFAULT_SUBTASKS
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- Generates tailored prompts for expanding each task
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- Creates a comprehensive JSON report with ready-to-use commands
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- Saves the report to scripts/task-complexity-report.json by default
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The generated report contains:
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- Complexity analysis for each task (scored 1-10)
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- Recommended number of subtasks based on complexity
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- AI-generated expansion prompts customized for each task
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- Ready-to-run expansion commands directly within each task analysis
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</Accordion>
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<Accordion title="Viewing Complexity Report">
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The `complexity-report` command:
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- Displays a formatted, easy-to-read version of the complexity analysis report
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- Shows tasks organized by complexity score (highest to lowest)
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- Provides complexity distribution statistics (low, medium, high)
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- Highlights tasks recommended for expansion based on threshold score
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- Includes ready-to-use expansion commands for each complex task
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- If no report exists, offers to generate one on the spot
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</Accordion>
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<Accordion title="Smart Task Expansion">
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The `expand` command automatically checks for and uses the complexity report:
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When a complexity report exists:
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- Tasks are automatically expanded using the recommended subtask count and prompts
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- When expanding all tasks, they're processed in order of complexity (highest first)
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- Research-backed generation is preserved from the complexity analysis
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- You can still override recommendations with explicit command-line options
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Example workflow:
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```bash
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# Generate the complexity analysis report with research capabilities
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task-master analyze-complexity --research
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# Review the report in a readable format
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task-master complexity-report
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# Expand tasks using the optimized recommendations
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task-master expand --id=8
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# or expand all tasks
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task-master expand --all
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```
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</Accordion>
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<Accordion title="Finding the Next Task">
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The `next` command:
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- Identifies tasks that are pending/in-progress and have all dependencies satisfied
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- Prioritizes tasks by priority level, dependency count, and task ID
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- Displays comprehensive information about the selected task:
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- Basic task details (ID, title, priority, dependencies)
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- Implementation details
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- Subtasks (if they exist)
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- Provides contextual suggested actions:
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- Command to mark the task as in-progress
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- Command to mark the task as done
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- Commands for working with subtasks
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</Accordion>
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<Accordion title="Viewing Specific Task Details">
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The `show` command:
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- Displays comprehensive details about a specific task or subtask
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- Shows task status, priority, dependencies, and detailed implementation notes
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- For parent tasks, displays all subtasks and their status
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- For subtasks, shows parent task relationship
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- Provides contextual action suggestions based on the task's state
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- Works with both regular tasks and subtasks (using the format taskId.subtaskId)
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</Accordion>
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</AccordionGroup>
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## Best Practices for AI-Driven Development
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<CardGroup cols={2}>
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<Card title="📝 Detailed PRD" icon="lightbulb">
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The more detailed your PRD, the better the generated tasks will be.
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</Card>
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<Card title="👀 Review Tasks" icon="magnifying-glass">
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After parsing the PRD, review the tasks to ensure they make sense and have appropriate dependencies.
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</Card>
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<Card title="📊 Analyze Complexity" icon="chart-line">
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Use the complexity analysis feature to identify which tasks should be broken down further.
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</Card>
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<Card title="⛓️ Follow Dependencies" icon="link">
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Always respect task dependencies - the Cursor agent will help with this.
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</Card>
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<Card title="🔄 Update As You Go" icon="arrows-rotate">
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If your implementation diverges from the plan, use the update command to keep future tasks aligned.
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</Card>
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<Card title="📦 Break Down Tasks" icon="boxes-stacked">
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Use the expand command to break down complex tasks into manageable subtasks.
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</Card>
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<Card title="🔄 Regenerate Files" icon="file-arrow-up">
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After any updates to tasks.json, regenerate the task files to keep them in sync.
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</Card>
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<Card title="💬 Provide Context" icon="comment">
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When asking the Cursor agent to help with a task, provide context about what you're trying to achieve.
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</Card>
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<Card title="✅ Validate Dependencies" icon="circle-check">
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Periodically run the validate-dependencies command to check for invalid or circular dependencies.
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</Card>
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</CardGroup>
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