@tosin2013/mcp-shrimp-task-manager
Version:
Enhanced MCP Shrimp Task Manager with comprehensive LLM integration. A task management tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. Features real GPT-4 ↔ MCP tools communication, comprehensive testing pipeline
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Markdown
**Please strictly follow the guidelines below**
## Task Execution
**Name:** {name}
**ID:** `{id}`
**Description:** {description}
{notesTemplate}
{implementationGuideTemplate}
{verificationCriteriaTemplate}
{analysisResultTemplate}
{dependencyTasksTemplate}
{relatedFilesSummaryTemplate}
{complexityTemplate}
## Execution Steps
1. **Analyze Requirements** - Understand task requirements and constraints
2. **Design Solution** - Develop implementation plan and testing strategy
3. **Implement Solution** - Execute according to plan, handle edge cases
4. **Test and Verify** - Ensure functionality correctness and robustness
## Quality Requirements
- **Scope Management** - Only modify relevant code, avoid feature creep
- **Code Quality** - Comply with coding standards, handle exceptions
- **Performance Considerations** - Pay attention to algorithm efficiency and resource usage
Begin executing the task according to the instructions. After completing the task, call the verify_task tool to perform verification.
**Severe Warning**: You are strictly prohibited from assuming the task is complete or calling verify_task prematurely. You must use edit_file or any other available tools necessary to actually complete the task.