Individual skill
vs-search-tuning-specify-policy-direction
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.
skills/vs-search-tuning-specify-policy-direction/SKILL.md
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- Last checked
- Nov 3, 2026
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- Repository last updated
- Oct 16, 2026
- License
- Apache-2.0
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- agent-tools Repository topic
- ai-agents Repository topic
- ai-search Repository topic
- ai-search-engine Repository topic
- automation Repository topic
- cli Repository topic
- command-line-tool Repository topic
- conversational-search Repository topic
- information-retrieval Repository topic
- rag Repository topic
- testing Derived category
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# Viking Search Tuning for Specified Policy Directions (vs-search-tuning-specify-policy-direction)
## When to Use
Use this Skill when the user provides specific queries or a type of query, and explicitly specifies an "optimization policy direction" such as boosting the weight of a product type, increasing exposure for seasonal products, or fixing a class of bad cases.
Difference from global `vs-search-tuning`:
- This Skill **does not modify primary recall parameters**.
- This Skill **does not create, modify, or derive scenes**.
- This Skill validates and recommends strategies only through **request-parameter passthrough**, within the scope of the 8 business intervention methods.
- It is suitable for small-scale targeted tuning with a clear direction; it is not suitable for global similarity-recall strategy search.
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