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Super Proactive V2

Transforms AI agents into proactive partners with multi-tier memory, autonomous background tasks, task queue, and persistent working context for better auton...
通过多层记忆、自主后台任务、任务队列和持久工作上下文,将AI智能体转变为主动合作伙伴,以实现更佳自主性。
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概述

Super Proactive Agent

The ultimate proactive + memory system for AI agents. Combines the best of 11 top-rated skills into one unified architecture.


Why This Skill?

Most AI agents just wait for prompts. This skill transforms your agent into a proactive partner that:

  • Anticipates needs without being asked
  • Remembers everything important
  • Runs background tasks autonomously
  • Gets better over time

Architecture Overview

workspace/
+-- MEMORY.md              # Long-term memory (curated learnings)
+-- SESSION-STATE.md       # Working buffer (HOT - survives flush)
+-- memory/
|   +-- YYYY-MM-DD.md     # Daily logs (episodic)
+-- QUEUE.md              # Task queue (Ready/In Progress/Done)
+-- skills/               # Procedural memory

Core Features

1. WAL Protocol (Write-Ahead Logging)

The agent writes critical details to SESSION-STATE.md BEFORE responding. Every decision, correction, and important detail is logged immediately.

# Example: Log a decision
echo "$(date) - Decision: Using model for generation" >> SESSION-STATE.md

2. Three-Tier Memory System

  • Episodic (memory/YYYY-MM-DD.md) - What happened today
  • Semantic (MEMORY.md) - What I know (long-term)
  • Procedural (skills/) - How to do things

3. Autonomous Crons

Run background tasks without prompting:

  • Every 30min: Check queue, health, memory
  • Every 4h: Research topic, update insights
  • Daily 18h: Summary, cleanup

4. Working Buffer

SESSION-STATE.md survives context flush. Always read/write this file for:

  • Current project context
  • Pending decisions
  • Active tasks

5. Task Queue

QUEUE.md with states:

  • Ready - Tasks to do
  • In Progress - Currently working
  • Done - Completed
  • Blocked - Waiting

Quick Setup

1. File Structure

Create these files in your workspace:

mkdir -p memory/$(date +%Y-%m-%d)
touch SESSION-STATE.md QUEUE.md

2. Update HEARTBEAT.md

## Every Heartbeat (~30 min)
- [ ] Check QUEUE.md for Ready tasks
- [ ] Process queue if In Progress empty
- [ ] Verify services

## Every 4 Hours
- [ ] Research topic
- [ ] Update memory

## Daily (18:00 UTC)
- [ ] Summary, cleanup

3. Memory First

ALWAYS search memory before answering.


Usage Examples

Checking Queue

# Read current queue
cat QUEUE.md

Adding Task

## Ready
- Research topic

Logging Decision

echo "$(date) - Decision: Updated configuration" >> SESSION-STATE.md

Best Practices

  1. Write immediately - If important, log NOW
  2. Search before answering - Never guess, search memory
  3. Use sessions - Keep SESSION-STATE.md for working context
  4. Curate MEMORY.md - Review daily logs weekly, keep insights
  5. Be proactive - Anticipate needs, dont just wait

Merged From

SkillRatingBest For
-------------------------
elite-longterm-memory3.617Memory architecture
proactive-agent3.520WAL + Autonomous Crons
memory-setup3.536Configuration
memory-hygiene3.530Cleanup
agent-autonomy-kit3.483Task queue
agent-memory3.490Agent memory
neural-memory3.481Neural patterns
cognitive-memory-Human-like memory
proactive-solvr3.437Problem solving
proactive-tasks3.379Goals to Tasks
memory-manager-Management

Author

Super Proactive - Merged skill by Clawdinho

Based on 11 top-rated OpenClaw skills


Version

v1.0.0 - Initial merged release

版本历史

共 1 个版本

  • v1.0.1 当前
    2026-03-29 03:54 安全 安全

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