Tencent SkillHub · AI

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...

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Transforms AI agents into proactive partners with multi-tier memory, autonomous background tasks, task queue, and persistent working context for better auton...

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Install for OpenClaw

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Quick setup

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Manual review
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, _meta.json

Validation

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.1

Provenance

Publisher: Heldinhow
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 18 sections Open source page

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

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

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.

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

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

SkillRatingBest Forelite-longterm-memory3.617Memory architectureproactive-agent3.520WAL + Autonomous Cronsmemory-setup3.536Configurationmemory-hygiene3.530Cleanupagent-autonomy-kit3.483Task queueagent-memory3.490Agent memoryneural-memory3.481Neural patternscognitive-memory-Human-like memoryproactive-solvr3.437Problem solvingproactive-tasks3.379Goals to Tasksmemory-manager-Management

Author

Super Proactive - Merged skill by Clawdinho Based on 11 top-rated OpenClaw skills

Version

v1.0.0 - Initial merged release

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

1 Docs1 Config

SKILL.md Primary doc
_meta.json Config