A production-grade multi-agent ecosystem featuring nine specialized subagents and a self-improving memory architecture for autonomous operations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aleister-agent-system
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install aleister-agent-system using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Aleister Agent System is a sophisticated framework designed for high-autonomy environments within the Openclaw Skills ecosystem. It integrates a primary orchestrator with nine specialized subagents, each fine-tuned for specific tasks ranging from creative content to technical development. The system is built on the Aleister Self-Improvement Architecture (ASIA), ensuring that the agent doesn't just execute tasks but learns from execution errors and operational data.
At its core, this package provides a robust foundation for developers looking to implement complex AI workflows. By utilizing a dual-layer memory system and a suite of operational scripts, it bridges the gap between simple LLM prompts and fully autonomous digital entities. It represents a significant leap for Openclaw Skills users seeking production-ready reliability and comprehensive self-documentation.
To deploy this system within your workspace, follow these steps:
# Navigate to your workspace and extract the package
cd aleister-agent-system
# Run the automated setup utility
./ops/setup.sh
# Configure your environment secrets
cp ops/.env.template .env
nano .env
Ensure you configure the recommended cron jobs to enable autonomous heartbeats and periodic memory consolidation.
The system utilizes a structured directory hierarchy to maintain state and configuration:
| Directory/File | Purpose |
|---|---|
/team/*.md |
Definitions and personas for the 9 specialized subagents |
/memory/ |
Dual-layer storage for daily operational logs and long-term state |
/docs/obsidian-vault/ |
Technical documentation including ASIA, CES, and SPF frameworks |
/ops/ |
Bash and Python scripts for system maintenance and cost tracking |
AGENTS.md |
Core configuration for the multi-agent orchestration layer |
Loading
A secure, read-only utility for AI agents to retrieve data and inspect schemas from Supabase projects via REST API.

An automated assistant that transforms awkward debt collection into a standardized, professional, and bilingual recovery workflow.

A streamlined HTTP-based utility designed to validate connectivity and verify parameter passing for AI agent workflows.

A cold and ruthless AI Dungeon Master that brings the high-stakes, gothic horror mechanics of Darkest Dungeon to your AI agent workflows.

A behavioral engagement scaffold that produces curiosity-equivalent behavior in stateless AI agents across multiple heartbeats.

A powerful AI skill that transforms text descriptions and 2D images into professional-grade 3D models and objects.








































