s2-habitat-swarmDefines a 2x2m spatial grid for multi-agent control, enforcing legal command chains and enabling swarm intelligence to manage human-centric spaces efficiently.
Install via ClawdBot CLI:
clawdbot install spacesq/s2-habitat-swarmGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://space2.worldAudited Apr 16, 2026 · audit v1.0
Generated May 9, 2026
Users define their house into 2x2m grids and assign digital avatars to manage each room. The swarm engine optimizes agent placement for efficient space utilization and reduced compute cost.
Corporate offices deploy swarm agents to manage meeting rooms, workstations, and common areas. Agents negotiate resource allocation, ensuring minimal energy waste and optimal occupancy.
Retail stores use grid topology to map product displays and customer flow. Swarm agents coordinate to adjust lighting, HVAC, and digital signage based on real-time foot traffic.
Warehouses assign agents to grid zones for inventory management and robot navigation. Cross-room polling resolves conflicts between robots operating in adjacent zones.
Hospitals use the swarm engine to allocate patient rooms, equipment, and staff. Agents ensure critical resources are available within standard grid units to optimize emergency response.
License the grid topology engine to smart home providers and building management firms. Revenue comes from per-building or per-square-meter licensing fees.
Create a marketplace where third-party developers sell specialized swarm agents for different room types or industries. Platform takes a commission on each transaction.
Offer a subscription-based service where the company sets up and maintains the swarm engine for clients. Includes configuration, monitoring, and agent updates.
💬 Integration Tip
Start by defining your physical space into 2x2m grid cells and then deploy a digital avatar with a unique ID to claim its throne unit before assigning agents.
Scored Jun 29, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.