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Huawei Cloud Global Search

Knowledge Management Updated 2026.08.29

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Install @user_89241a1c/huaweicloud-global-search according to https://skillhub.cn/install/skillhub.md.

About this skill

Problem It Solves

When engineers evaluate Huawei Cloud options, product names, abbreviations, and documentation entry points can be inconsistent. A query may say VM, “cloud disk”, or K8s, and it needs to be mapped to ECS, OBS, or CCE. This skill focuses on product lookup from official documentation and product pages without requiring console login.

How It Works

  • Product identification: Extract product name, category, functional requirement, and use case from the request.
  • Alias mapping: Map informal terms such as cloud server, Redis, and Kafka to standard products like ECS, GeminiDB, and DMS.
  • Catalog lookup: Cover AI, compute, storage, database, containers, networking, security, and big data categories, recording Chinese name, English name, category, and product code.
  • Answer shaping: Organize specs, parameters, features, documentation paths, and API references for easier comparison.

Boundaries

It is suitable for product lookup, documentation discovery, and specification comparison. It is not a substitute for real-time billing, orders, account permissions, private configurations, or production incident diagnosis. If the query depends on login state or exact current pricing, verify against the official console and invoices.

Use Cases

  • Confirm official specs, limits, and API entry points for ECS, OBS, and RDS before architecture review.
  • Map informal terms such as VM, cloud disk, and K8s to ECS, OBS, and CCE during technology selection.
  • Locate official parameter descriptions and error-code documentation when debugging a Huawei Cloud API call.
  • Compare compatibility and deployment differences among GaussDB, TaurusDB, and RDS for MySQL.

Best For

  • Solutions architects selecting cloud resources need to confirm product categories, specifications, and official documentation entry points quickly.
  • Backend engineers writing technical proposals need to map informal product names to standard cloud services and verify API references.
  • Engineers evaluating database options need to compare compatibility and differences among GaussDB, TaurusDB, and RDS.
  • Technical leads preparing architecture reviews need to summarize ECS, OBS, and CCE specs, limits, and documentation paths.