Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
Install with Tessl CLI
npx tessl i github:sickn33/antigravity-awesome-skills --skill algolia-search61
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillAgent success when using this skill
Validation for skill structure
React InstantSearch hooks usage
Hooks-web package
0%
100%
Algoliasearch client
100%
100%
useSearchBox hook
33%
100%
useHits hook
33%
100%
useRefinementList hook
33%
100%
usePagination hook
33%
100%
useInstantSearch hook
0%
0%
Without context: $0.3870 · 1m 8s · 20 turns · 69 in / 4,489 out tokens
With context: $1.2564 · 4m 47s · 41 turns · 290 in / 17,988 out tokens
Next.js SSR search integration
Nextjs SSR package
0%
100%
InstantSearchNext component
0%
100%
force-dynamic export
0%
100%
getServerState usage
0%
50%
routing prop
0%
100%
Without context: $0.3905 · 1m 21s · 17 turns · 18 in / 5,747 out tokens
With context: $1.8754 · 6m 26s · 62 turns · 390 in / 21,638 out tokens
Algolia data indexing strategies
Record batching
100%
100%
Incremental strategy
100%
100%
partialUpdateObjects for updates
100%
100%
No deleteBy usage
100%
100%
Without context: $0.3270 · 1m 11s · 14 turns · 63 in / 4,648 out tokens
With context: $0.5246 · 1m 57s · 25 turns · 271 in / 6,926 out tokens
Table of Contents
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