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):

tool: mcp__plugin_slop-mcp_slop-mcp__execute_tool
params:
  mcp_name: "dart-query"
  tool_name: "get_task"
  parameters:
    dart_id: "[argument]"

Otherwise, search by title:

tool: mcp__plugin_slop-mcp_slop-mcp__execute_tool
params:
  mcp_name: "dart-query"
  tool_name: "search_tasks"
  parameters:
    query: "[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.

Task tool invocation:

Task tool call:
  subagent_type: "dartai:task-executor"
  max_turns: 50  # Timeout - ensures agent returns even if stuck
  description: "Execute task: [task-title]"
  prompt: |
    Execute task [TASK_ID] through the quality pipeline.
    ...task details...

Pipeline phases:

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:

# Update status
tool: mcp__plugin_slop-mcp_slop-mcp__execute_tool
params:
  mcp_name: "dart-query"
  tool_name: "update_task"
  parameters:
    dart_id: "[task-id]"
    status: "Done"

# Add completion comment
tool: mcp__plugin_slop-mcp_slop-mcp__execute_tool
params:
  mcp_name: "dart-query"
  tool_name: "add_task_comment"
  parameters:
    dart_id: "[task-id]"
    text: "[completion summary]"

On failure:

# Update status
tool: mcp__plugin_slop-mcp_slop-mcp__execute_tool
params:
  mcp_name: "dart-query"
  tool_name: "update_task"
  parameters:
    dart_id: "[task-id]"
    status: "Blocked"

# Add failure comment
tool: mcp__plugin_slop-mcp_slop-mcp__execute_tool
params:
  mcp_name: "dart-query"
  tool_name: "add_task_comment"
  parameters:
    dart_id: "[task-id]"
    text: "[failure details]"

5. Update Documentation

Use doc-updater agent to update documentation:

Task tool call:
  subagent_type: "dartai:doc-updater"
  max_turns: 20  # Doc updates are simpler, shorter timeout
  description: "Update docs for: [task-title]"
  prompt: |
    Update documentation for completed task [TASK_ID]...

Actions:

• 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