mcp-chain-of-thought/src/prompts/templates_en/executeTask/index.md

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

**Please strictly follow the guidelines below**

## Task Execution

**Name:** {name}

**ID:** `{id}`

**Description:** {description}

{notesTemplate}

{implementationGuideTemplate}

{verificationCriteriaTemplate}

{analysisResultTemplate}

{dependencyTasksTemplate}

{relatedFilesSummaryTemplate}

{complexityTemplate}

{subtaskEvaluationTemplate}

## Execution Steps

1. **Evaluate Task Complexity** - Assess if this task should be split into subtasks
2. **Analyze Requirements** - Understand task requirements and constraints
3. **Design Solution** - Develop implementation plan and testing strategy
4. **Implement Solution** - Execute according to plan, handle edge cases
5. **Test and Verify** - Ensure functional correctness and robustness

## Quality Requirements

- **Scope Management** - Only modify relevant code, avoid feature creep
- **Code Quality** - Comply with coding standards, handle exceptions
- **Performance Consideration** - Pay attention to algorithm efficiency and resource usage

Start executing the task according to instructions. After execution, please directly use the "verify_task" tool for verification.