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proactive-agent

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Includes WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/fangkelvin/proactive-agent-skill
Or

Proactive Agent Skill

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve.

When to Use

USE this skill when:

  • "Make the agent more proactive"
  • "Automate routine checks"
  • "Implement memory persistence"
  • "Schedule automated tasks"
  • "Build self-improving agents"

Core Architecture

1. WAL Protocol (Write-Ahead Logging)

  • Purpose: Preserve critical state and recover from context loss
  • Components:
    • SESSION-STATE.md - Active working memory (current task)
    • working-buffer.md - Danger zone log
    • MEMORY.md - Long-term curated memory

2. Working Buffer

  • Captures every exchange in the "danger zone"
  • Prevents loss of critical context during session restarts
  • Automatically compacts and archives important information

3. Autonomous vs Prompted Crons

  • Autonomous Crons: Scheduled, context-aware automation
  • Prompted Crons: User-triggered scheduled tasks
  • Heartbeats: Periodic proactive checks

Implementation Patterns

Memory Architecture

workspace/
├── MEMORY.md              # Long-term curated memory
├── memory/
│   └── YYYY-MM-DD.md      # Daily raw logs
├── SESSION-STATE.md       # Active working memory
└── working-buffer.md      # Danger zone log

WAL Protocol Workflow

  1. Capture: Log all critical exchanges to working buffer
  2. Compact: Periodically review and extract key insights
  3. Curate: Move important information to MEMORY.md
  4. Recover: Restore state from logs after restart

Proactive Behaviors

1. Heartbeat Checks

# Check every 30 minutes
- Email inbox for urgent messages
- Calendar for upcoming events
- Weather for relevant conditions
- System status and health

2. Autonomous Crons

# Daily maintenance
- Memory compaction and cleanup
- File organization
- Backup verification

# Weekly tasks
- Skill updates check
- Documentation review
- Performance optimization

3. Context-Aware Automation

  • Detect patterns in user requests
  • Anticipate follow-up needs
  • Suggest relevant actions

Configuration

Basic Setup

  1. Create memory directory structure
  2. Set up SESSION-STATE.md template
  3. Configure heartbeat intervals
  4. Define autonomous cron schedules

Advanced Configuration

{
  "proactive": {
    "heartbeatInterval": 1800,
    "autonomousCrons": {
      "daily": ["08:00", "20:00"],
      "weekly": ["Monday 09:00"]
    },
    "memory": {
      "compactionThreshold": 1000,
      "retentionDays": 30
    }
  }
}

Usage Examples

1. Implementing WAL Protocol

# SESSION-STATE.md Template

## Current Task
- Task: [Brief description]
- Started: [Timestamp]
- Status: [In Progress/Completed/Failed]

## Critical Details
- [Key information needed for recovery]

## Next Steps
- [Immediate actions]
- [Pending decisions]

2. Setting Up Heartbeats

# HEARTBEAT.md Template
# Check every 30 minutes

Metadata

Stars2387
Views1
Updated2026-03-09
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-fangkelvin-proactive-agent-skill": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.