# Openclaw Proactive Agent

> Proactive Agent

- Skill: `urjuyaimon09/openclaw-proactive-agent` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add urjuyaimon09/openclaw-proactive-agent`
- Raw SKILL.md: https://api.skillmd.com/api/skills/urjuyaimon09/openclaw-proactive-agent/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: urjuyaimon09 (https://skillmd.com/u/urjuyaimon09)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/urjuyaimon09/openclaw-proactive-agent

---

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
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
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