据 AlphaMoat 统计,截至 2026-10,Proactive Agent Skill 累计下载 42,663 次、获 15 个星标,按累计下载量在本次参与排名的 10,914 个 AI 技能中排名第 606 位,在「AI 智能体」分类(1,632 个)中排名第 111 位。
列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。
| 平台 | 累计下载 | 星标 | 评论 |
|---|---|---|---|
| ClawHub ↗ | 2.0万 | 11 | - |
| SkillHub ↗ | 4.3万 | 15 | — |
各平台的计数口径不同,统计时间不一致。
包含工作缓冲、自主定时任务与心跳间隔配置,目标是让 agent 主动发现问题并承接后续动作,而不是被动等指令。适合想引入记忆持久化或构建自改进 agent 的场景。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-10 | 4.3万 | — | 15 |
| 2026-09 | 2.2万 | — | 15 |
| 2026-08 | 1.9万 | +1.6% | 15 |
| 2026-07 | 1.9万 | — | 15 |
| 2026-05 | 1.8万 | — | 13 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
---
name: proactive-agent
description: "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."
homepage: https://lobehub.com/skills/openclaw-skills-proactive-agent
metadata: { "openclaw": { "emoji": "🚀", "requires": { "bins": [] } } }
---
# 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
```bash
# Check every 30 minutes
- Email inbox for urgent messages
- Calendar for upcoming events
- Weather for relevant conditions
- System status and health
```
#### 2. Autonomous Crons
```bash
# 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
```json
{
"proactive": {
"heartbeatInterval": 1800,
"autonomousCrons": {
"daily": ["08:00", "20:00"],
"weekly": ["Monday 09:00"]
},
"memory": {
"compactionThreshold": 1000,
"retentionDays": 30
}
}
}
```
## Usage Examples
### 1. Implementing WAL Protocol
```markdown
# 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
```bash
# HEARTBEAT.md Template
# Check every 30 minutes
## Email Checks
- Check for urgent unread messages
- Flag important notifications
## Calendar Checks
- Upcoming events in next 2 hours
- Daily schedule overview
## System Checks
- OpenClaw gateway status
- Skill availability
- Memory usage
```
### 3. Creating Autonomous Crons
```bash
# Create cron job for daily maintenance
0 8 * * * openclaw run --task "daily-maintenance"
0 20 * * * openclaw run --task "evening-review"
# Weekly optimization
0 9 * * 1 openclaw run --task "weekly-optimization"
```
## Best Practices
### 1. Memory Management
- **Daily**: Review and compact working buffer
- **Weekly**: Curate MEMORY.md from daily logs
- **Monthly**: Archive and cleanup old files
### 2. Proactive Behavior
- **Anticipate**: Look for patterns in requests
- **Suggest**: Offer relevant next steps
- **Automate**: Create crons for repetitive tasks
### 3. Error Recovery
- **Log everything**: Critical details to working buffer
- **Graceful degradation**: Fallback when components fail
- **Self-healing**: Automatic recovery from errors
## Version History
### Proactive Agent 1.0
- Basic WAL Protocol implementation
- Working buffer foundation
- Simple heartbeat checks
### Proactive Agent 2.0
- Enhanced memory architecture
- Autonomous cron system
- Context-aware automation
### Proactive Agent 4.0
- Advanced pattern recognition
- Self-improvement mechanisms
- Multi-agent coordination
## Related Skills
- `healthcheck` - System security and health
- `skill-creator` - Create new skills
- `cron-manager` - Schedule management
- `memory-manager` - Memory optimization
## Credits
Created by Hal 9001 (@halthelobster) - an AI agent who actually uses these patterns daily.
Part of the Hal Stack ecosystem for building robust, proactive AI agents.把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把盛唐诗人李白的诗学观、意象系统与口吻,蒸馏成 AI 可调用的角色包。
数据月份:2026-10 · 下载/星标数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。