stock-data-skill
OpenClaw Skill for stock data analysis
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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install fangkelvin/proactive-agent-skill打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve.
✅ USE this skill when:
SESSION-STATE.md - Active working memory (current task)working-buffer.md - Danger zone logMEMORY.md - Long-term curated memoryworkspace/
├── 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
# Check every 30 minutes
- Email inbox for urgent messages
- Calendar for upcoming events
- Weather for relevant conditions
- System status and health
# Daily maintenance
- Memory compaction and cleanup
- File organization
- Backup verification
# Weekly tasks
- Skill updates check
- Documentation review
- Performance optimization
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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....
OpenClaw Skill for stock data analysis
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