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Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
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Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on re...
| name | Algolia Search |
| description | Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality. |
| source | vibeship-spawner-skills (Apache 2.0) |
| risk | unknown |
Modern React InstantSearch setup using hooks for type-ahead search.
Uses react-instantsearch-hooks-web package with algoliasearch client. Widgets are components that can be customized with classnames.
Key hooks:
SSR integration for Next.js with react-instantsearch-nextjs package.
Use instead of for SSR. Supports both Pages Router and App Router (experimental).
Key considerations:
Indexing strategies for keeping Algolia in sync with your data.
Three main approaches:
Best practices:
| Issue | Severity | Solution |
|---|---|---|
| Issue | critical | See docs |
| Issue | high | See docs |
| Issue | medium | See docs |
| Issue | medium | See docs |
| Issue | medium | See docs |
| Issue | medium | See docs |
| Issue | medium | See docs |
| Issue | medium | See docs |
This skill is applicable to execute the workflow or actions described in the overview.
