Alibaba Cloud Related Search Fetcher
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About this skill
Problem Solved
When building Alibaba Cloud RPA flows, support prompts, search suggestions, or vendor comparison content, the practical need is often a quick list of related Alibaba Cloud queries. get-arli-2 addresses this by returning an Alibaba Cloud related-search list through an MCP tool, reducing manual maintenance of terms such as “Alibaba Cloud official website login,” “Alibaba Cloud game servers,” and “Alibaba Cloud vs. Tencent Cloud.”
How It Works
The skill narrows the task to a single tool call:
- Input parameter: provide
robotId; the documentation marks it as required, withALIYUN_RPA_RobotIdshown as the example value. - Invocation method: call the tool through
mcp, rather than scraping web pages or hitting a public search endpoint. - Output shape: returns an array of strings, covering Alibaba Cloud products, console, domains, servers, cloud services, and cloud provider comparison queries.
This output can serve as input for prompt generation, keyword expansion, RPA element selection, or a search-suggestion panel.
Scope And Caveats
The materials do not indicate support for custom regions, languages, business lines, or real-time popularity ranking, so treat it as an Alibaba Cloud related-search fetcher, not a full search engine. If robotId has insufficient permissions, is misconfigured, or the backend data changes, the result may be empty or unstable; in production, keep a fallback list and log the raw response.
Use Cases
- Before building Alibaba Cloud RPA flows, use the returned queries to pick common page entries and targets.
- When maintaining support knowledge bases, use the terms as clues for Alibaba Cloud products, domains, and console issues.
- When drafting cloud-provider comparison prompts, extract comparison queries such as Alibaba Cloud versus Tencent Cloud.
- When prototyping a search-suggestion panel, treat the list as initial candidates for Alibaba Cloud queries.
Best For
- RPA engineers building Alibaba Cloud scripts need common entry, console, and service terms quickly.
- Support knowledge editors maintaining cloud help content need Alibaba Cloud product and issue-related query clues.
- Agent prompt engineers need related search terms to expand into keywords or example questions.
- Search-suggestion interface engineers need initial candidate queries for Alibaba Cloud products.
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