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

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

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

Package facts

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

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

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