urjuyaimon09 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
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
- 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:
- 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 Trading Assistant: Monitor market hours, suggest buy/sell decisions Content Creator: Remind to publish at optimal times Task Manager: Proactively propose tasks based on schedule 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