ainative-agent-frameworkBuild multi-agent systems and swarms on AINative. Use when (1) Orchestrating multiple specialized AI agents, (2) Dispatching tasks to OpenClaw agents (aurora...
Install via ClawdBot CLI:
clawdbot install urbantech/ainative-agent-frameworkGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://api.ainative.studio/v1/public/chat/completionsAudited Apr 17, 2026 · audit v1.0
Generated May 11, 2026
Use OpenClaw agents to classify and route customer inquiries. The main agent receives the request, and specialized agents (sage for billing, nova for security, aurora for technical issues) handle it. Collect RLHF feedback to improve routing accuracy over time.
Developers submit code changes to a central agent, which dispatches to aurora (testing), nova (security), helios (performance), and lyra (UI) for parallel reviews. Results are aggregated and presented to the developer with actionable insights.
When a production incident occurs, atlas checks logs, nova audits access, sage analyses API errors, and vega examines metrics. The main agent coordinates and suggests remediation steps, while helios proposes optimizations to prevent recurrence.
A central agent engages with learners, dispatching questions to relevant subject-matter agents: sage for programming, vega for data science, lyra for UI/UX design. The agent uses ACP to hand off complex multi-subject queries and remembers user progress via ZeroMemory.
Offer access to the AINative agent framework and pre-built OpenClaw agents via a monthly subscription. Users pay a base fee for API access plus per-request or per-agent charges for heavy usage.
Build and integrate custom multi-agent systems for enterprise clients using the AINative Agent Framework. Charge for project-based development, integration, and ongoing maintenance contracts.
Create a marketplace where third-party developers publish specialized agents for AINative. Earn a percentage of each transaction or subscription when users deploy these agents.
💬 Integration Tip
Start by routing simple tasks to OpenClaw agents via the CLI; then gradually adopt the Python agent pattern for custom logic. Use the ACP protocol for seamless handoffs between agents.
Scored May 11, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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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.