proactive-agent
A proactive agent that anticipates needs and takes initiative. Monitors environment, suggests actions, and proposes tasks based on context. Perfect for agents that need to be proactive rather than reactive.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/552134926-alt/shiyi-proactive-agentProactive Agent
A proactive agent that anticipates needs and takes initiative. Monitors environment, suggests actions, and proposes tasks based on context.
Features
- Context Analysis: Analyzes current time, market status, content pipeline
- Action Suggestion: Predicts needs and generates actionable suggestions
- Task Initiation: Proactively proposes tasks based on context
- Priority Management: 3-tier priority system (Trading > Content > Learning)
Quick Start
# Get next suggested action
python scripts/action_suggester.py --next
# Analyze current context
python scripts/context_analyzer.py --json
# Propose tasks
python scripts/task_initiator.py --propose
Components
1. Context Analyzer (scripts/context_analyzer.py)
Analyzes:
- Current time slot (morning_startup, trading_hours, content_window, etc.)
- Market status (open/closed)
- Content pipeline status
- Pending tasks
- Recent interactions
2. Action Suggester (scripts/action_suggester.py)
Generates suggestions based on:
- Time-based rules (trading hours, content window)
- Market conditions
- Content pipeline status
- Pending tasks
- Learning optimization needs
3. Task Initiator (scripts/task_initiator.py)
Proactively proposes tasks with:
- Task ID and timestamp
- Priority level
- Step-by-step instructions
- Auto-save to file
4. Proactive Monitor (scripts/proactive_monitor.py)
Continuous monitoring:
- Daemon mode for background operation
- Configurable check intervals
- Alert cooldown management
Configuration
Edit config/proactive_config.yaml:
proactive_level: 7 # 1-10, higher = more proactive
monitor_interval: 300 # Check interval in seconds
alert_cooldown: 1800 # Alert cooldown in seconds
priority_weights:
trading: 10
content: 8
tasks: 6
learning: 4
routine: 3
Time Rules
The agent recognizes these time slots:
| Time Slot | Hours | Typical Actions |
|---|---|---|
| morning_startup | 06:00-09:00 | Check portfolio, review today's plan |
| trading_hours | 09:30-15:00 | Monitor stocks, evaluate opportunities |
| content_window | 15:00-17:00 | Publish content, optimize posts |
| evening_routine | 17:00-22:00 | Log daily summary, update memory |
| night_quiet | 22:00-06:00 | Stay quiet, minimal alerts |
Integration
With AGENTS.md
Add to session startup:
1. Run proactive-agent: python skills/proactive-agent/scripts/action_suggester.py --next
With HEARTBEAT.md
Add to heartbeat checks:
python skills/proactive-agent/scripts/action_suggester.py --next
Example Output
[HIGH] 盘中交易时段
Suggestion: 观察候选股票，等待买入机会
[HIGH] 下午内容发布窗口
Suggestion: 检查待发布内容，准备发布小红书笔记
[MEDIUM] 晚间例行检查
Suggestion: 检查今日数据，记录交易日志
Use Cases
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-552134926-alt-shiyi-proactive-agent": {
"enabled": true,
"auto_update": true
}
}
}Tags
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