# Techwavedev Agi Agent Kit Algolia Search

> Algolia Search Integration

- Skill: `tomevault-io/techwavedev-agi-agent-kit-algolia-search` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/techwavedev-agi-agent-kit-algolia-search`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/techwavedev-agi-agent-kit-algolia-search/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/techwavedev-agi-agent-kit-algolia-search

---


# 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:
1. Full Reindexing - Replace entire index (expensive)
2. Full Record Updates - Replace individual records
3. 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.

---

<!-- AGI-INTEGRATION-START -->

## AGI Framework Integration

> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**
> Original source: [antigravity-awesome-skills](https://github.com/sickn33/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.

```bash
# 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:

```bash
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).

```bash
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.

<!-- AGI-INTEGRATION-END -->

---
> Converted and distributed by [TomeVault](https://tomevault.io/claim/techwavedev) — claim your Tome and manage your conversions.
<!-- tomevault:4.0:skill_md:2026-04-13 -->