mcp-chain-of-thought
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Chain of Thought is a tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavi
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Markdown
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