vs-alias-mapping
FreeProvide system alias mapping for Search CLI. Invoke this skill when user mentions "Search CLI", "search_cli", or tries to execute search_cli commands.
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Volcengine official documentation lookup helper. Supports both document search and full-content fetch across Volcengine products, developer tools, support content, best practices, pricing, deployment, troubleshooting, API, SDK, and policy pages.
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See how to installReview the instructions the agent will receive before you install.
This helper provides two core capabilities for Volcengine official documentation:
search: retrieve relevant official documentation pagesfetch: retrieve the full content of a known documentation pageUse official documentation as the authoritative source for Volcengine product questions.
When this helper is used by vs-product-qa for Viking AI Search:
search must use ServiceCodes="Universal AI Search"fetch must use URLs under https://www.volcengine.com/docs/85296fetch directly without searching first.search and fetchsearch and always pass ServiceCodes="Universal AI Search".Universal AI Search or whose URL is outside https://www.volcengine.com/docs/85296.search to identify the page first, then call fetch.search)Search Volcengine official documentation by user question, with optional product filtering.
https://docs-api.cn-beijing.volces.com/api/v1/doc/search| Name | Type | Required | Description |
|---|---|---|---|
| Query | string | Yes | User question or search query |
| Limit | number | No | Number of documents to return, default is 5 |
| ServiceCodes | array<string> | No | Product filter. For Viking AI Search inside vs-product-qa, this must be ["Universal AI Search"]. |
The main data is in Result.DocList. Each document item includes:
| Field | Type | Description |
|---|---|---|
| Title | string | Official document title |
| Url | string | Official document URL |
| Content | string | Document content returned by the API |
| ServiceCodes | array<string> | Product code list associated with the document |
fetch)Fetch the full content of a known Volcengine documentation page and return structured title and body text.
https://docs-api.cn-beijing.volces.com/api/v1/doc/fetch| Name | Type | Required | Description |
|---|---|---|---|
| Url | string | Yes | Volcengine documentation URL, such as https://www.volcengine.com/docs/6349/162514. For Viking AI Search inside vs-product-qa, this must stay under https://www.volcengine.com/docs/85296. |
Important rule:
If the input URL contains query parameters, such as https://www.volcengine.com/docs/6396/624853?lang=zh, strip all query parameters before sending the request and keep only the clean page URL.
The main data is in Result:
| Field | Type | Description |
|---|---|---|
| Title | string | Full document title |
| Content | string | Full document body text in structured plain-text form |
[Document Title](clean URL).CleanUrl as the citation URL. Do not cite URLs with query parameters such as ?lang=zh.vs-product-qa, reject results unless the page URL starts with https://www.volcengine.com/docs/85296.Content field to answer the question because it is already documentation-grounded.vs-product-qa, reject search hits whose ServiceCodes do not include Universal AI Search.python {skill_dir}/scripts/volcengine_docs.py search "query" [limit] [service_code_1,service_code_2...]
Example:
python {skill_dir}/scripts/volcengine_docs.py search "what is a Viking AI Search scene" 3 "Universal AI Search"
python {skill_dir}/scripts/volcengine_docs.py fetch "volcengine documentation url"
Example:
python {skill_dir}/scripts/volcengine_docs.py fetch "https://www.volcengine.com/docs/85296/1544972?lang=en"
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Provide system alias mapping for Search CLI. Invoke this skill when user mentions "Search CLI", "search_cli", or tries to execute search_cli commands.
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Conversational search runtime: send messages, keep sessions consistent, and verify retrieval behavior and responses.
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Crawl websites (news, blogs, papers, GitHub, product docs, RSS feeds) into a fixed-schema JSONL file, then create a dataset and a searchable application in Viking AI Search. Supports one-time crawl and scheduled recurring crawl with automatic incremental sync.
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onboarding workflow for creating datasets and applications in Viking AI Search. Supports one-time import from local files (JSON, JSONL, CSV) and MySQL databases, plus scheduled incremental sync for append-only JSONL files and MySQL. All sources are first exported to a bootstrap JSONL file; backend-driven schema inference handles detection, and optional background sync keeps the dataset up to date as new data arrives.
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Answer Viking AI Search product questions, CLI usage questions, API/auth questions, configuration questions, and troubleshooting questions by grounding every claim in either the installed `vs` CLI's own output or official Volcengine documentation. Never fabricate.
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Create Viking web projects, start and verify a local preview, or deploy a generated project to Volcengine IGA Pages when explicitly requested. Includes agent-guided feature, eligible application, dataset, scene, and authentication choices. Use only after confirming the installed CLI exposes `vs project`; otherwise stop without taking action.
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