Execute Single Task

Run the full quality pipeline on a single Dart task without starting the continuous loop.

Process

1. Find the Task

If argument looks like a Dart task ID (12 alphanumeric chars):

Use mcp__Dart__get_task with id: [argument]

Otherwise, search by title:

Use mcp__Dart__list_tasks with title: [argument]

2. Confirm Task

Display task details and confirm:

• Title
• Description
• Current status
• Dartboard
• Assignee

3. Execute Pipeline

Use the task-executor agent to run the full quality pipeline:

1. Understand task: Read task description, identify scope
2. Implement changes: Make necessary code changes
3. Code review: Self-review with LCI search
4. Run linting: Execute project's linter
5. Run tests: Execute test suite
6. LCI evaluation: Check code quality patterns
7. Refactor check: Ensure changes are clean
8. Deprecated cleanup: Remove obsolete code

4. Update Task Status

On success:

Use mcp__Dart__update_task to set status: "Done"
Use mcp__Dart__add_task_comment with completion summary

On failure:

Use mcp__Dart__update_task to set status: "Blocked" or keep "In Progress"
Use mcp__Dart__add_task_comment with failure details

5. Update Documentation

Use doc-updater agent to:

• Add entry to CHANGELOG if feature/fix
• Update README if applicable
• Add Dart task comment with summary

Usage Examples

/dartai:task QiXCNniu7OQY
/dartai:task "Color MCP Server"
/dartai:task "Fix login bug"

Output

Task execution report:

Task Execution Report
=====================
Task: [title]
Status: SUCCESS / FAILED

Pipeline Results:
- Code Review: PASS
- Linting: PASS (0 errors)
- Tests: PASS (42 passed, 0 failed)
- LCI Check: PASS
- Refactor: PASS
- Cleanup: PASS (removed 3 deprecated functions)

Changes Made:
- [file1]: [description]
- [file2]: [description]

Documentation Updated:
- CHANGELOG.md: Added entry for [feature]
- Dart comment: Added completion summary