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conversation-analyzer对话分析器

Agent Skill

conversation-analyzer 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,986

周安装

212

GitHub Stars

公开资料未说明

下载量

1,747
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:conversation-analyzer(对话分析器)
来源仓库:https://github.com/opendolph/conversation-analyzer
安装命令:
openclaw skills install conversation-analyzer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install conversation-analyzer

简介

conversation-analyzer 用于智能分析对话、总结结论并记录性格特征。

  • 适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。
  • 支持跟踪任务进度、检查未完成项并写入记忆库供后续参考。
  • 安装前建议确认权限范围、维护状态及是否会触发文件读写或记忆更新。
  • 可结合来源仓库和 README 进一步核验具体用法和限制条件。

SKILL.md

name
conversation-analyzer
description
Intelligent conversation analysis, summarization, and conclusion recording. Analyzes user personality, tracks tasks, checks incomplete tasks, and writes to memory files.
version
1.0.0
author
opendolph
source
https://github.com/opendolph/skills/tree/main/conversation-analyzer

Conversation Analyzer 🧠

Intelligent conversation analysis, summarization, and conclusion recording

Core Features

1. User Personality Analysis

Analysis Dimensions:

  • Personal Traits: Personality, communication style, decision-making patterns
  • Preferences: Technical preferences, tool choices, content types
  • Skills: Tech stack, professional capabilities, familiar domains
  • Experience: Career path, project experience, growth trajectory
  • Background: Work environment, team role, industry background
  • Emotional State: Stress level, satisfaction, focus areas
  • Current Activities: Current projects, key tasks, daily activities
  • Future Goals: Goals, plans, expectations

Execution:

  • Read existing USER.md records
  • Merge new analysis results
  • Update USER.md
  • Call appropriate skill tools if needed

2. Conversation Task & Demand Analysis

Analysis Dimensions:

  • Requested Tasks: Specific tasks, completion status
  • Predicted Future Needs: Predict next steps based on patterns
  • Error Records: Understanding deviations, execution errors, improvement points

Execution:

  • Read "Conversation Analysis" records in MEMORY.md
  • Incrementally write new analysis results
  • Call appropriate skill tools if needed

3. Incomplete Task Detection

Check Scope:

  • Todo items mentioned in conversation
  • Promised but incomplete items
  • Exclude tasks marked as "not needed" in MEMORY.md

Execution:

  • List incomplete tasks
  • Send inquiry messages via Feishu
  • If no incomplete tasks, send "No incomplete tasks found"

Trigger Conditions

ScenarioTrigger Method
Auto-triggerEvery 10 conversations (via HEARTBEAT.md counter)
Scheduled triggerDaily at 12:00 and 24:00 (cron)
Manual triggerUser inputs "analyze conversation", "summary", "check tasks"

Analysis Workflow

Every 10 Conversations

Conversation counter +1
    ↓
Counter >= 10?
    ↓ YES
Reset counter
    ↓
Execute 3 analysis tasks
    ↓
Update memory files

Daily Scheduled Analysis (12:00, 24:00)

Cron trigger
    ↓
Analyze all conversations from 00:00 to current time
    ↓
Execute 3 analysis tasks
    ↓
Update memory files
    ↓
Send Feishu notification for incomplete tasks

File Operations

Input Files

  • HEARTBEAT.md - Conversation counter, task tracking
  • USER.md - User profile records
  • MEMORY.md - Long-term memory, conversation analysis history
  • SESSION-STATE.md - Current session state
  • Chat history (via sessions_history tool)

Output Files

  • USER.md - Updated user profile
  • MEMORY.md - Appended conversation analysis
  • HEARTBEAT.md - Reset conversation counter
  • Feishu messages - Task notifications

Usage

# Manual trigger analysis
node skills/conversation-analyzer/scripts/analyze.js

# Check incomplete tasks only
node skills/conversation-analyzer/scripts/check-tasks.js

# Daily full analysis (0:00 to now)
node skills/conversation-analyzer/scripts/daily-analysis.js

Cron Configuration

Add to crontab

# Daily analysis at 12:00 and 24:00
0 12,0 * * * cd ~/.openclaw/workspace && node skills/conversation-analyzer/scripts/daily-analysis.js > /dev/null 2>&1

Or use OpenClaw cron

openclaw cron add "0 12,0 * * *" "conversation-analyzer/daily-analysis"

Integration with HEARTBEAT.md

The skill reads and updates HEARTBEAT.md:

## Conversation Counter
- Current count: 0
- Last analysis: 2026-03-24 21:00
- Threshold: 10 conversations

When counter reaches 10:

  1. Execute personality analysis
  2. Execute task analysis
  3. Execute incomplete task check
  4. Reset counter to 0

Task Status Definitions

StatusMeaning
QueueWaiting to start
ActiveIn progress
WaitingBlocked/Waiting
DoneCompleted
AbortedCancelled
NotNeededExplicitly marked as not required

*Transform passive responses into proactive insights 🎯*

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

87.46%
按下载量换算1,528

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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