What makes Super Proactive V2 notable?

1.6K downloads. Trust evidence available

How should Super Proactive V2 be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

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... Skill: Super Proactive V2 Owner: heldinhow Summary: Transforms AI agents into proactive partners with multi-tier memory, autonomous background tasks, task queue, and persistent working context for better auton... Tags: latest:1.0.1 Version history: v1.0.1 | 2026-02-15T02:07:22.664Z | auto - Documentation in SKILL.md was streamlined for clarity and consistency. - File structure section reformatted for improved readabi

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.6k

Updated

Oct 10, 2026

Version

1.0.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.6K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.6K downloadsadoption · observed Oct 10, 2026
Latest release: 1.0.1release · observed Feb 15, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17fhz4zhpt7ak28aaembt0hph8859pq:super-proactive

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-heldinhow-super-proactive/snapshot"

Documentation

CLAWHUB

9,600 characters of source documentation, loaded on request.

Extracted files

2 files captured from the source.

SKILL.md

# 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.

```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

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

| Skill | Rating | Best For |
|-------|--------|----------|
| elite-longterm-memory | 3.617 | Memory architecture |
| proact

_meta.json

{
  "ownerId": "kn74nrx32v4n0423jptzg1v5kx80ssnf",
  "slug": "super-proactive",
  "version": "1.0.1",
  "publishedAt": 1771121242664
}

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