glm-mcp

Multi-agent planning workflows in Claude are coordinated by integrating a dedicated skill module that exposes a frontmatter interface and supports memory-context blocks for deterministic task routing between agents.

Dynamic context management for multi-agent orchestration is the process of sharing memory-context blocks across agents to route tasks deterministically and complete complex planning objectives within an evaluation harness.

Yes, the skill module supports agent handoffs in GLM-MCP workflows by integrating a plug-in style descriptor that enables deterministic task routing and context sharing across a multi-agent planning cycle.

To start a multi-agent planning cycle using current memory context, initialize the glm-mcp skill module to trigger dynamic context management and task routing across the connected agents.

No, the multi-agent orchestration approach requires no external dependencies, operating as a modular plug-in descriptor that integrates directly with Claude-based hooks via the SKILL.md body.

The limitation of this basic skill module for multi-agent planning is its implementation depth, meaning it provides a concise frontmatter interface for context routing rather than an extensive built-in reasoning engine.