algolia-search
Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
SKILL.md
Full skill instructions
Algolia Search Integration
Patterns
React InstantSearch with Hooks
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:
- useSearchBox: Search input handling
- useHits: Access search results
- useRefinementList: Facet filtering
- usePagination: Result pagination
- useInstantSearch: Full state access
Next.js Server-Side Rendering
SSR integration for Next.js with react-instantsearch-nextjs package.
Use <InstantSearchNext> instead of <InstantSearch> for SSR. Supports both Pages Router and App Router (experimental).
Key considerations:
- Set dynamic = 'force-dynamic' for fresh results
- Handle URL synchronization with routing prop
- Use getServerState for initial state
Data Synchronization and Indexing
Indexing strategies for keeping Algolia in sync with your data.
Three main approaches:
- Full Reindexing - Replace entire index (expensive)
- Full Record Updates - Replace individual records
- Partial Updates - Update specific attributes only
Best practices:
- Batch records (ideal: 10MB, 1K-10K records per batch)
- Use incremental updates when possible
- partialUpdateObjects for attribute-only changes
- Avoid deleteBy (computationally expensive)
⚠️ Sharp Edges
| 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 |
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
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AGI Framework Integration
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Memory-First Protocol
Retrieve prior design decisions (color palettes, typography, spacing scales) to maintain visual consistency across sessions. Cache generated design tokens.
# Check for prior frontend/design context before starting
python3 execution/memory_manager.py auto --query "design system decisions and component patterns for Algolia Search"
Storing Results
After completing work, store frontend/design decisions for future sessions:
python3 execution/memory_manager.py store \
--content "Design system: adopted 8px grid, Inter font family, HSL color tokens with dark mode support" \
--type decision --project <project> \
--tags algolia-search frontend
Multi-Agent Collaboration
Share design decisions with backend agents (API contract changes) and QA agents (visual regression baselines).
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "Implemented UI components — new design system with accessibility compliance (WCAG 2.1 AA)" \
--project <project>
Design Memory Persistence
Store design system tokens and component decisions in Qdrant so any agent on any platform (Claude, Gemini, Cursor) can retrieve and apply consistent styling.
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