Skill UI

Manages and coordinates complex workflows involving multiple AI agents and tasks. It efficiently distributes work across multiple workers, handles runtime errors, and intelligently merges disparate results into a unified output, making it ideal for large-scale, distributed AI computations.

This skill provides access to Anthropic's Claude Managed Agents, offering a robust cloud environment for executing complex, long-running AI workflows. It handles the entire agent lifecycle, from provisioning the container and environment (create), to executing multi-turn prompts, monitoring status, and ensuring proper cleanup (terminate). Ideal for critical, asynchronous tasks that require persistent state and advanced tools.

This engine serves as a shared, comprehensive orchestration layer for the entire development lifecycle (orch-* skills). It defines a rigorous, gated pipeline—including Research, Plan, TDD Implementation, Review, and Commit—ensuring consistency regardless of the specific operation (e.g., feature addition, defect fixing). It also includes a size classifier to accurately scope the required effort and gates for mandatory human review.

This skill provides a structured framework for managing complex, multi-agent development tasks. It treats agents as a collaborative team, utilizing structured work items, defined ownership, Agent Kanban boards, and explicit merge gates. This ensures that large-scale, multi-tool, or cross-branch development efforts are predictable, highly visible, and result in reliably mergeable, production-ready artifacts.

A comprehensive tool for authoring and managing complex workflows. It supports two primary methods: persistent MCP templates for long-lived, human-gated, resumable pipelines, and native JavaScript scripts for advanced, code-driven orchestration, allowing for complex fan-out, parallel processing, and structured data aggregation.