Provide an intelligent task management system that guides AI Agents through structured workflows for systematic programming. Enhance task memory management to avoid redundant coding and improve development efficiency. Enable deep task planning, execution tracking, and project rule initialization to maintain consistency and quality.
Tools
plan_task
Initialize and detail the task flow, establish clear goals and success criteria, optionally reference existing tasks for continuation planning
analyze_task
Deeply analyze task requirements and systematically check the codebase, evaluate technical feasibility and potential risks. If code is needed, use pseudocode format providing only high-level logic flow and key steps, avoiding complete code.
reflect_task
Critically review analysis results, evaluate solution completeness and identify optimization opportunities, ensuring the solution aligns with best practices. If code is needed, use pseudocode format providing only high-level logic flow and key steps, avoiding complete code.
split_tasks
Decompose complex tasks into independent subtasks, establishing dependencies and priorities. ## updateMode - **append**: Keep existing tasks and add new ones - **overwrite**: Delete unfinished tasks, keep completed ones - **selective**: Intelligently match and update existing tasks based on name - **clearAllTasks**: Clear all tasks and create a backup (preferred mode) ## Key Requirements - **Provide concise pseudocode**: Only provide high-level logic flow and key steps, avoid complete code - **Consolidate when necessary**: Simple modifications can be integrated with other tasks to avoid excessive task count - **Submit in batches**: If there are too many tasks, use the "split_tasks" tool with parameters not exceeding 5000 characters
list_tasks
Generate a structured task list, including complete status tracking, priority, and dependencies
execute_task
Execute a specific task according to the predefined plan, ensuring the output of each step meets quality standards