z-ai-llms

name	z-ai-llms
description	Reference and APIs for retrieving z.AI documentation programmatically for LLMs. USE FOR: searching z.AI docs, GLM models documentation, z.AI API reference, CogVideoX, Vidu, OpenCode integration with z.AI. DO NOT USE FOR: calling live z.AI API endpoints, invoking GLM models directly.
license	MIT

z-ai-llms

WHEN TO USE

• Documentation Search: Locating specific z.AI (GLM series) documentation articles.
• Article Retrieval: Fetching the full rendered markdown of a specific z.AI docs page via its llms.txt or related context.

WHEN NOT TO USE

• Live AI Generation: Interacting with live z.AI APIs to generate text, images, or video. Use appropriate API endpoints or SDKs for that.

Core Process

1. Identify the Need: Determine whether you need to search for a topic or fetch a specific known documentation path.
2. Execute the Query: Fetch the data from the llms.txt reference or relevant URLs.
3. Process Content: Extract the relevant information to answer the user's query or inform the ongoing task.

Common Pitfalls

• Fetching llms-full.txt without narrowing the scope. Prefer the index or a targeted document when possible, and filter aggressively if you must use the full file.

References

To fully utilize this skill, you MUST read at least one of the links relevant to the current context:

• z.AI Documentation (llms.txt) MUST be fetched/loaded when searching for z.AI API references, agents, audio, image/video generation capabilities, or tool integrations. USE FOR:

  • API Reference (Chat, Audio, Image, Video)
  • Agents (Translation, Slide/Poster)
  • Tool Integrations (Web Search, Web Reader, MCP Servers)
  • GLM Model Guides (GLM-5.1, GLM-5-Turbo, GLM-4.5)
  • Developer Tools Configurations (Claude Code, Cline, Cursor, OpenCode, n8n)

• z.AI Full Documentation (llms-full.txt) MUST be fetched/loaded when deep, exhaustive context is needed across the entire z.AI ecosystem. Note: This file contains the entire documentation corpus and needs to be filtered due to its massive size. USE FOR:

  • Comprehensive searches across all docs
  • Extracting specific, detailed code examples when llms.txt is insufficient