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Coding Agents & IDEs @heldinhow Updated 8/19/2026 1,412 downloads 3 stars Security: Pass

Super Proactive OpenClaw Plugin & Skill | ClawHub

Looking to integrate Super Proactive into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate coding agents & ides tasks instantly, without having to write custom tools from scratch.

What this skill does

# 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 | | 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

Install

ClawHub CLI
openclaw skills install @heldinhow/super-proactive
Node.js (npx)
npx clawhub@latest install super-proactive

Full SKILL.md

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SKILL.md content below is scrollable.

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

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

ClawHub Registry URL: https://clawhub.ai/heldinhow/skills/super-proactive

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