General skillAI and agent development
hyperagent-orchestrator
Orchestrates hosted Hyperagent workers through MCP with chains, fan-out, polling, and refinement.
Orchestrates hosted Hyperagent workers through MCP with chains, fan-out, polling, and refinement.
hyperagent-orchestrator teaches Claude to use Hyperagent’s hosted MCP server as a remote control for existing agents. Its core loop lists agents, creates a thread, polls until it stops, and sends follow-up messages; recipes cover sequential chains, parallel fan-out, and user-in-the-loop refinement. The opening request must be self-contained because an agent cannot ask for clarification mid-run, and scores or costs remain visible only in the Command Center.
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Protocols & integrations
Turn detailed business processes into reusable, tested AI skills.
Define portable task-specific sub-agents in Markdown for several coding assistants.
Capabilities
Public GitHub facts last synced Jul 10, 2026.
Find, create, run, and improve agent skills from real execution feedback.
Reduce LLM token use by pruning context, caching prompts, and routing models.