Agent Framework
"Design, scaffold, and deploy multi-agent AI systems with production-ready orchestration patterns, tool integration, mem
- Scaffold production-ready multi-agent orchestration layers.
- Generate standardized agent communication protocols.
- Configure tool integration pipelines for AI agents.
$3.99
· or 20 creditsSecure checkout via Stripe
Included in download
- Scaffold production-ready multi-agent orchestration layers.
- Generate standardized agent communication protocols.
- Ready for Claude Code
See it in action
You say
Generate a multi-agent system scaffold for a customer support bot with a triaging agent and a billing specialist.
Your agent does
Scaffolding complete. - Created: ./deploy/orchestrator.yaml (Hand-off logic) - Created: ./deploy/agents/triager.py (Tool: ticket-read) - Created: ./deploy/agents/billing.py (Tool: stripe-api) - Created: ./deploy/memory_config.json (Redis state) Audit trail generated in architecture.md.
Agent Framework
"Design, scaffold, and deploy multi-agent AI systems with production-ready orchestration patterns, tool integration, mem
$3.99
· or 20 creditsSecure checkout via Stripe
Included in download
- Scaffold production-ready multi-agent orchestration layers.
- Generate standardized agent communication protocols.
- Ready for Claude Code
- Instant install
See it in action
You say
Generate a multi-agent system scaffold for a customer support bot with a triaging agent and a billing specialist.
Your agent does
Scaffolding complete. - Created: ./deploy/orchestrator.yaml (Hand-off logic) - Created: ./deploy/agents/triager.py (Tool: ticket-read) - Created: ./deploy/agents/billing.py (Tool: stripe-api) - Created: ./deploy/memory_config.json (Redis state) Audit trail generated in architecture.md.
About This Skill
Agent Framework
"Design, scaffold, and deploy multi-agent AI systems with production-ready orchestration patterns, tool integration, memory management, and observability."
A premium AI agent skill from Echo Rose.
Use Cases
- Scaffold production-ready multi-agent orchestration layers.
- Generate standardized agent communication protocols.
- Configure tool integration pipelines for AI agents.
- Implement persistent memory and state management systems.
Known Limitations
- Requires Python 3.8+ environment. - Does not host the agents: provides scaffolding and logic only. - Limited to YAML-based specification inputs.
How to install
Drop the file into your AI tool. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Early access skill
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Security Scanned
Passed automated security review
Permissions
No special permissions declared or detected
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