Proactive 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#

bash

# 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:

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 SlotHoursTypical Actionsmorning_startup06:00-09:00Check portfolio, review today's plantrading_hours09:30-15:00Monitor stocks, evaluate opportunitiescontent_window15:00-17:00Publish content, optimize postsevening_routine17:00-22:00Log daily summary, update memorynight_quiet22:00-06:00Stay quiet, minimal alerts

Integration#

With AGENTS.md#

Add to session startup:

text

1. Run proactive-agent: python skills/proactive-agent/scripts/action_suggester.py --next

With HEARTBEAT.md#

Add to heartbeat checks:

text

python skills/proactive-agent/scripts/action_suggester.py --next

Example Output#

text

[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#

1. Trading Assistant: Monitor market hours, suggest buy/sell decisions
2. Content Creator: Remind to publish at optimal times
3. Task Manager: Proactively propose tasks based on schedule
4. Learning Agent: Suggest performance analysis and improvements

Requirements#

• Python 3.7+
• Works on Windows/Linux/macOS

Changelog#

v1.0.0 (2026-03-25)#

• Initial release
• Context analyzer, action suggester, task initiator, proactive monitor
• Configuration system
• Time-based rules