Conversation Analyzer

Intelligent conversation analysis, summarization, and conclusion recording. Analyzes user personality, tracks tasks, checks incomplete tasks, and writes to memory files.

Intelligent conversation analysis, summarization, and conclusion recording

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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"

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Trigger Conditions

Scenario	Trigger Method
Auto-trigger	Every 10 conversations (via HEARTBEAT.md counter)
Scheduled trigger	Daily at 12:00 and 24:00 (cron)
Manual trigger	User inputs "analyze conversation", "summary", "check tasks"

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Analysis Workflow

Every 10 Conversations

text

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

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

text

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

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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

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Usage

bash

# 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

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Cron Configuration

Add to crontab

bash

# 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

bash

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

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Integration with HEARTBEAT.md

The skill reads and updates HEARTBEAT.md:

markdown

## 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

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Task Status Definitions

Status	Meaning
Queue	Waiting to start
Active	In progress
Waiting	Blocked/Waiting
Done	Completed
Aborted	Cancelled
NotNeeded	Explicitly marked as not required

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Transform passive responses into proactive insights 🎯