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Super Proactive

**The ultimate proactive + memory system for AI agents.** Combines the best of 11 top-rated skills i

Rating: 3.9 (286 reviews)
Downloads: 5,433 downloads
Version: 1.0.0

Overview

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

Complete Documentation

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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

text

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.

bash

# 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:

bash

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

2. Update HEARTBEAT.md

markdown

## 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

bash

# Read current queue
cat QUEUE.md

Adding Task

markdown

## Ready
- Research topic

Logging Decision

bash

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

Best Practices

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

Merged From

Skill	Rating	Best For
elite-longterm-memory	3.617	Memory architecture
proactive-agent	3.520	WAL + Autonomous Crons
memory-setup	3.536	Configuration
memory-hygiene	3.530	Cleanup
agent-autonomy-kit	3.483	Task queue
agent-memory	3.490	Agent memory
neural-memory	3.481	Neural patterns
cognitive-memory	-	Human-like memory
proactive-solvr	3.437	Problem solving
proactive-tasks	3.379	Goals 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

Installation

Terminal bash


openclaw install super-proactive

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💻Code Examples

+-- skills/ # Procedural memory

---skills--procedural-memory.txt

---

## 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.

echo "$(date) - Decision: Using model for generation" >> SESSION-STATE.md

echo-date---decision-using-model-for-generation--session-statemd.txt

### 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:

- [ ] Summary, cleanup

----summary-cleanup.txt

### 3. Memory First
ALWAYS search memory before answering.

---

## Usage Examples

### Checking Queue

example.txt

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

example.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