log_conversation
Logs AI conversations in structured markdown format, recording user requests, execution plans, summaries, and file operations. Enhances project continuity and provides searchable history for better context management.
Instructions
记录AI对话 - 所有会话都要记录
使用规范: • userRequest: 用户原始需求+上传文件说明 • aiTodoList: 你的执行计划清单(即使只是查看也要列出) • aiSummary: 你的操作总结(3-5句话,包括解释、分析等) • fileOperations: 文件操作总结,格式:"动作 文件路径 - 说明"(可为空) • title: 对话标题(可选) • tags: 标签数组(可选)
Input Schema
Name | Required | Description | Default |
---|---|---|---|
aiSummary | Yes | AI的操作总结(3-5句话,包括解释、分析等) | |
aiTodoList | Yes | AI的执行计划清单(即使只是查看也要列出) | |
fileOperations | No | 文件操作总结,格式:"动作 文件路径 - 说明"(可为空) | |
project | No | 项目名(可选,自动检测) | |
tags | No | 标签数组(可选) | |
title | No | 对话标题(可选) | |
userRequest | Yes | 用户原始需求 + 上传文件说明 |
Input Schema (JSON Schema)
{
"properties": {
"aiSummary": {
"description": "AI的操作总结(3-5句话,包括解释、分析等)",
"type": "string"
},
"aiTodoList": {
"description": "AI的执行计划清单(即使只是查看也要列出)",
"items": {
"type": "string"
},
"type": "array"
},
"fileOperations": {
"description": "文件操作总结,格式:\"动作 文件路径 - 说明\"(可为空)",
"items": {
"type": "string"
},
"type": "array"
},
"project": {
"description": "项目名(可选,自动检测)",
"type": "string"
},
"tags": {
"description": "标签数组(可选)",
"items": {
"type": "string"
},
"type": "array"
},
"title": {
"description": "对话标题(可选)",
"type": "string"
},
"userRequest": {
"description": "用户原始需求 + 上传文件说明",
"type": "string"
}
},
"required": [
"userRequest",
"aiTodoList",
"aiSummary"
],
"type": "object"
}