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
`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"
}

AI Conversation Logger

log_conversation

Instructions

Input Schema

Input Schema (JSON Schema)

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