Menu
Recommend runtime and scene management: run recommendation requests, manage recommend scenes, and verify the basic recommendation path.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Use when the user provides 1-50 concrete bad-case search queries for one Viking Search app and wants local deterministic fixes. This skill only verifies request-level fine-operation interventions against a read-only baseline scene and delivers a console-ready configuration sheet, validated payloads, and a replay script. It must not mutate scenes, apps, dictionaries, datasets, recall core parameters, or online defaults.
Viking Search tuning for specified policy directions. Use this when the user provides specific queries, a type of query, or a business policy direction, and asks to boost, suppress, or fix a class of search results through request-parameter passthrough. You must only perform read-only baseline evaluation and request-level candidate testing; do not modify search scenes, app config, dictionaries, recommend scenes, or primary recall parameters.
V2 item-level onboarding driven entirely by the V2 OpenAPI: GetPresignedImportUrlV2 → PUT upload → AddInferDatasetSchemaTaskV2 → GetInferDatasetSchemaResultV2 → CreateDatasetV2 → data write → CreateApplicationV2 → AttachDatasetToApplicationV2. Backend handles schema inference end-to-end and auto-picks the primary key from `BizAttr`; the agent persists the inferred artifact locally, confirms it once with the user, dry-runs, then drives create / write / attach using the same persisted artifact. Use this whenever the user wants the shortest path from a raw item file to a fully wired Viking AI Search dataset (and optional application).
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.
Search runtime and scene management: verify queries, inspect scenes, debug app readiness, and diagnose recall or scene-config issues.
Provide system alias mapping for Search CLI. Invoke this skill when user mentions "Search CLI", "search_cli", or tries to execute search_cli commands.
| name | vs-recommend |
| description | Recommend runtime and scene management: run recommendation requests, manage recommend scenes, and verify the basic recommendation path. |
| category | recommend |
| applies_to | codex, agents, external-agent |
| requires_cli | >=0.1.0 |
| keywords | recommend run, recommend debug, recommend scene, personalized recommend |
| commands | recommend run, recommend scene create, recommend scene list, recommend scene get, recommend scene update |
Use this skill for recommendation runtime checks, recommend scene management, and first-pass verification of the recommendation path.
application-id is availablescene-id and user-idrecommend run: send a production-style recommendation requestrecommend scene create / recommend scene list / recommend scene get: manage recommend scenesrecommend scene update: update scene configurationapplication-id, scene-id, and user-idrecommend scene list first and prefer an existing/default scene before creating a new onerecommend scene create or recommend scene update, explicitly confirm the target page / module and the required BhvSceneTypes with the userrecommend run for the first verification requestresult.rec_resultsrecommend scene list/getvs CLI surface (--help, command output, and observed runtime behavior), and explicit user-provided information.vs ... command in this recommend workflow, first consult vs-product-qa to verify the current command surface, required flags, payload fields, input format, and allowed values. Only after that check may you finalize parameters and run the command.recommend runBhvSceneTypesvs-product-qa; return to this workflow only after the grounded product answer is complete.