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vs-search-tuning

Use when a user asks an agent to evaluate or tune text search similarity for an existing Viking AI Search application and dataset.

skills/vs-search-tuning/SKILL.md

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Oct 16, 2026
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# Viking Search Tuning

## When to Use

Use this skill when the user wants an external agent to evaluate and tune text search similarity for an existing AI Search application and dataset.

This first version is for similarity tuning. It defaults to text-query/text-item judging, fixes `mode=UserDefined`, and tunes the user-defined recall strategy, recall weights, keyword match ratio, and max retrieved count. It can optionally use text+image LLM judging when visual relevance matters; image fields are taken only from `GetAppDataConfig.ImageIndexFields`. It does not tune rerank, personalization, hotness, boost/bury, sort rules, serving controls, or business operating rules.

## Version Check

Before starting this skill workflow, run `vs version check --json`. Continue only when `status` is `up-to-date`. If `status` is `update-available`, stop and tell the user to update the cloned `vs` repository, then run `git pull --ff-only`, `bash ./scripts/install.sh`, and `bash ./scripts/install-skills.sh all --target auto --force` (PowerShell: `scripts/install.ps1` and `scripts/install-skills.ps1`). If the status is `unknown`, stop and report that the CLI version could not be verified.

## Preconditions