e82b093dce
* docs: Update taskmaster.mdc and dev_workflow.mdc with missing CLI flags and enhanced workflow guidance - Add missing --tag flags to commands that were implemented but not documented - Add missing --file flags to tag management commands - Add --bedrock flag to models command documentation - Synchronize CLI documentation with actual implementation in commands.js - Enhance dev_workflow.mdc with comprehensive tagged task lists guidance - Add patterns for when to introduce tags (git branching, team collaboration, experiments) - Consolidate and refine changesets for upcoming release * chore: package-lock fixup * chore: fix format --------- Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
21 lines
1.3 KiB
Markdown
21 lines
1.3 KiB
Markdown
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'task-master-ai': minor
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---
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Enhanced get-task/show command to support comma-separated task IDs for efficient batch operations
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**New Features:**
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- **Multiple Task Retrieval**: Pass comma-separated IDs to get/show multiple tasks at once (e.g., `task-master show 1,3,5` or MCP `get_task` with `id: "1,3,5"`)
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- **Smart Display Logic**: Single ID shows detailed view, multiple IDs show compact summary table with interactive options
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- **Batch Action Menu**: Interactive menu for multiple tasks with copy-paste ready commands for common operations (mark as done/in-progress, expand all, view dependencies, etc.)
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- **MCP Array Response**: MCP tool returns structured array of task objects for efficient AI agent context gathering
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**Benefits:**
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- **Faster Context Gathering**: AI agents can collect multiple tasks/subtasks in one call instead of iterating
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- **Improved Workflow**: Interactive batch operations reduce repetitive command execution
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- **Better UX**: Responsive layout adapts to terminal width, maintains consistency with existing UI patterns
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- **API Efficiency**: RESTful array responses in MCP format enable more sophisticated integrations
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This enhancement maintains full backward compatibility while significantly improving efficiency for both human users and AI agents working with multiple tasks.
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