firefrost-gaming/antigravity-skills-reference

Files

sickn33 1966f6a8a2 fix(skills): Restore vibeship imports

Rebuild the affected vibeship-derived skills from the pinned upstream
snapshot instead of leaving the truncated imported bodies on main.
Refresh the derived catalog and plugin mirrors so the canonical skills,
compatibility data, and generated artifacts stay in sync.

Refs #473

2026-04-07 18:25:18 +02:00

26 KiB

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name, description, risk, source, date_added

name	description	risk	source	date_added
algolia-search	Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning	unknown	vibeship-spawner-skills (Apache 2.0)	2026-02-27

Algolia Search Integration

Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning

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

Code_example

// lib/algolia.ts import algoliasearch from 'algoliasearch/lite';

export const searchClient = algoliasearch( process.env.NEXT_PUBLIC_ALGOLIA_APP_ID!, process.env.NEXT_PUBLIC_ALGOLIA_SEARCH_KEY! // Search-only key! );

export const INDEX_NAME = 'products';

// components/Search.tsx 'use client'; import { InstantSearch, SearchBox, Hits, Configure } from 'react-instantsearch'; import { searchClient, INDEX_NAME } from '@/lib/algolia';

function Hit({ hit }: { hit: ProductHit }) { return (

{hit.name}

{hit.description}

${hit.price}

); }

export function ProductSearch() { return ( <SearchBox placeholder="Search products..." classNames={{ root: 'relative', input: 'w-full px-4 py-2 border rounded', }} /> ); }

// Custom hook usage import { useSearchBox, useHits, useInstantSearch } from 'react-instantsearch';

function CustomSearch() { const { query, refine } = useSearchBox(); const { hits } = useHits(); const { status } = useInstantSearch();

return (

<input value={query} onChange={(e) => refine(e.target.value)} placeholder="Search..." /> {status === 'loading' &&

}

{hit.name}

); }

Anti_patterns

Pattern: Using Admin API key in frontend code | Why: Admin key exposes full index control including deletion | Fix: Use search-only API key with restrictions
Pattern: Not using /lite client for frontend | Why: Full client includes unnecessary code for search | Fix: Import from algoliasearch/lite for smaller bundle

References

Next.js Server-Side Rendering

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:

Set dynamic = 'force-dynamic' for fresh results
Handle URL synchronization with routing prop
Use getServerState for initial state

Code_example

// app/search/page.tsx import { InstantSearchNext } from 'react-instantsearch-nextjs'; import { searchClient, INDEX_NAME } from '@/lib/algolia'; import { SearchBox, Hits, RefinementList } from 'react-instantsearch';

// Force dynamic rendering for fresh search results export const dynamic = 'force-dynamic';

export default function SearchPage() { return ( <InstantSearchNext searchClient={searchClient} indexName={INDEX_NAME} routing={{ router: { cleanUrlOnDispose: false, }, }} >

); }

// For custom routing (URL synchronization) import { history } from 'instantsearch.js/es/lib/routers'; import { simple } from 'instantsearch.js/es/lib/stateMappings';

<InstantSearchNext searchClient={searchClient} indexName={INDEX_NAME} routing={{ router: history({ getLocation: () => typeof window === 'undefined' ? new URL(url) as unknown as Location : window.location, }), stateMapping: simple(), }}

{/* widgets */}

Anti_patterns

Pattern: Using InstantSearch component for Next.js SSR | Why: Regular component doesn't support server-side rendering | Fix: Use InstantSearchNext from react-instantsearch-nextjs
Pattern: Static rendering for search pages | Why: Search results must be fresh for each request | Fix: Set export const dynamic = 'force-dynamic'

References

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)

Code_example

// lib/algolia-admin.ts (SERVER ONLY) import algoliasearch from 'algoliasearch';

// Admin client - NEVER expose to frontend const adminClient = algoliasearch( process.env.ALGOLIA_APP_ID!, process.env.ALGOLIA_ADMIN_KEY! // Admin key for indexing );

const index = adminClient.initIndex('products');

// Batch indexing (recommended approach) export async function indexProducts(products: Product[]) { const records = products.map((p) => ({ objectID: p.id, // Required unique identifier name: p.name, description: p.description, price: p.price, category: p.category, inStock: p.inventory > 0, createdAt: p.createdAt.getTime(), // Use timestamps for sorting }));

// Batch in chunks of ~1000-5000 records const BATCH_SIZE = 1000; for (let i = 0; i < records.length; i += BATCH_SIZE) { const batch = records.slice(i, i + BATCH_SIZE); await index.saveObjects(batch); } }

// Partial update - update only specific fields export async function updateProductPrice(productId: string, price: number) { await index.partialUpdateObject({ objectID: productId, price, updatedAt: Date.now(), }); }

// Partial update with operations export async function incrementViewCount(productId: string) { await index.partialUpdateObject({ objectID: productId, viewCount: { _operation: 'Increment', value: 1, }, }); }

// Delete records (prefer this over deleteBy) export async function deleteProducts(productIds: string[]) { await index.deleteObjects(productIds); }

// Full reindex with zero-downtime (atomic swap) export async function fullReindex(products: Product[]) { const tempIndex = adminClient.initIndex('products_temp');

// Index to temp index await tempIndex.saveObjects( products.map((p) => ({ objectID: p.id, ...p, })) );

// Copy settings from main index await adminClient.copyIndex('products', 'products_temp', { scope: ['settings', 'synonyms', 'rules'], });

// Atomic swap await adminClient.moveIndex('products_temp', 'products'); }

Anti_patterns

Pattern: Using deleteBy for bulk deletions | Why: deleteBy is computationally expensive and rate limited | Fix: Use deleteObjects with array of objectIDs
Pattern: Indexing one record at a time | Why: Creates indexing queue, slows down process | Fix: Batch records in groups of 1K-10K
Pattern: Full reindex for small changes | Why: Wastes operations, slower than incremental | Fix: Use partialUpdateObject for attribute changes

References

API Key Security and Restrictions

Secure API key configuration for Algolia.

Key types:

Admin API Key: Full control (indexing, settings, deletion)
Search-Only API Key: Safe for frontend
Secured API Keys: Generated from base key with restrictions

Restrictions available:

Indices: Limit accessible indices
Rate limit: Limit API calls per hour per IP
Validity: Set expiration time
HTTP referrers: Restrict to specific URLs
Query parameters: Enforce search parameters

Code_example

// NEVER do this - admin key in frontend // const client = algoliasearch(appId, ADMIN_KEY); // WRONG!

// Correct: Use search-only key in frontend const searchClient = algoliasearch( process.env.NEXT_PUBLIC_ALGOLIA_APP_ID!, process.env.NEXT_PUBLIC_ALGOLIA_SEARCH_KEY! );

// Server-side: Generate secured API key // lib/algolia-secured-key.ts import algoliasearch from 'algoliasearch';

const adminClient = algoliasearch( process.env.ALGOLIA_APP_ID!, process.env.ALGOLIA_ADMIN_KEY! );

// Generate user-specific secured key export function generateSecuredKey(userId: string) { const searchKey = process.env.ALGOLIA_SEARCH_KEY!;

return adminClient.generateSecuredApiKey(searchKey, { // User can only see their own data filters: userId:${userId}, // Key expires in 1 hour validUntil: Math.floor(Date.now() / 1000) + 3600, // Restrict to specific index restrictIndices: ['user_documents'], }); }

// Rate-limited key for public APIs export async function createRateLimitedKey() { const { key } = await adminClient.addApiKey({ acl: ['search'], indexes: ['products'], description: 'Public search with rate limit', maxQueriesPerIPPerHour: 1000, referers: ['https://mysite.com/*'], validity: 0, // Never expires });

return key; }

// API endpoint to get user's secured key // app/api/search-key/route.ts import { auth } from '@/lib/auth'; import { generateSecuredKey } from '@/lib/algolia-secured-key';

export async function GET() { const session = await auth(); if (!session?.user) { return Response.json({ error: 'Unauthorized' }, { status: 401 }); }

const securedKey = generateSecuredKey(session.user.id);

return Response.json({ key: securedKey }); }

Anti_patterns

Pattern: Hardcoding Admin API key in client code | Why: Exposes full index control to attackers | Fix: Use search-only key with restrictions
Pattern: Using same key for all users | Why: Can't restrict data access per user | Fix: Generate secured API keys with user filters
Pattern: No rate limiting on public search | Why: Bots can exhaust your search quota | Fix: Set maxQueriesPerIPPerHour on API key

References

Custom Ranking and Relevance Tuning

Configure searchable attributes and custom ranking for relevance.

Searchable attributes (order matters):

Most important fields first (title, name)
Secondary fields next (description, tags)
Exclude non-searchable fields (image_url, id)

Custom ranking:

Add business metrics (popularity, rating, date)
Use desc() for descending, asc() for ascending

Code_example

// scripts/configure-index.ts import algoliasearch from 'algoliasearch';

const adminClient = algoliasearch( process.env.ALGOLIA_APP_ID!, process.env.ALGOLIA_ADMIN_KEY! );

const index = adminClient.initIndex('products');

async function configureIndex() { await index.setSettings({ // Searchable attributes in order of importance searchableAttributes: [ 'name', // Most important 'brand', 'category', 'description', // Least important ],

// Attributes for faceting/filtering
attributesForFaceting: [
  'category',
  'brand',
  'filterOnly(inStock)',  // Filter only, not displayed
  'searchable(tags)',     // Searchable facet
],

// Custom ranking (after text relevance)
customRanking: [
  'desc(popularity)',     // Most popular first
  'desc(rating)',         // Then by rating
  'desc(createdAt)',      // Then by recency
],

// Typo tolerance
typoTolerance: true,
minWordSizefor1Typo: 4,
minWordSizefor2Typos: 8,

// Query settings
queryLanguages: ['en'],
removeStopWords: ['en'],

// Highlighting
attributesToHighlight: ['name', 'description'],
highlightPreTag: '<mark>',
highlightPostTag: '</mark>',

// Pagination
hitsPerPage: 20,
paginationLimitedTo: 1000,

// Distinct (deduplication)
attributeForDistinct: 'productFamily',
distinct: true,

});

// Add synonyms await index.saveSynonyms([ { objectID: 'phone-mobile', type: 'synonym', synonyms: ['phone', 'mobile', 'cell', 'smartphone'], }, { objectID: 'laptop-notebook', type: 'oneWaySynonym', input: 'laptop', synonyms: ['notebook', 'portable computer'], }, ]);

// Add rules (query-based customization) await index.saveRules([ { objectID: 'boost-sale-items', condition: { anchoring: 'contains', pattern: 'sale', }, consequence: { params: { filters: 'onSale:true', optionalFilters: ['featured:true'], }, }, }, ]);

console.log('Index configured successfully'); }

configureIndex();

Anti_patterns

Pattern: Searching all attributes equally | Why: Reduces relevance, matches in descriptions rank same as titles | Fix: Order searchableAttributes by importance
Pattern: No custom ranking | Why: Relies only on text matching, ignores business value | Fix: Add popularity, rating, or recency to customRanking
Pattern: Indexing raw dates as strings | Why: Can't sort by date correctly | Fix: Use timestamps (getTime()) for date sorting

References

Faceted Search and Filtering

Implement faceted navigation with refinement lists, range sliders, and hierarchical menus.

Widget types:

RefinementList: Multi-select checkboxes
Menu: Single-select list
HierarchicalMenu: Nested categories
RangeInput/RangeSlider: Numeric ranges
ToggleRefinement: Boolean filters

Code_example

'use client'; import { InstantSearch, SearchBox, Hits, RefinementList, HierarchicalMenu, RangeInput, ToggleRefinement, ClearRefinements, CurrentRefinements, Stats, SortBy, } from 'react-instantsearch'; import { searchClient, INDEX_NAME } from '@/lib/algolia';

export function ProductSearch() { return (

{/* Filters Sidebar */}

      {/* Category hierarchy */}
      <div>
        <h3 className="font-semibold mb-2">Categories</h3>
        <HierarchicalMenu
          attributes={[
            'categories.lvl0',
            'categories.lvl1',
            'categories.lvl2',
          ]}
          limit={10}
          showMore
        />
      </div>

      {/* Brand filter */}
      <div>
        <h3 className="font-semibold mb-2">Brand</h3>
        <RefinementList
          attribute="brand"
          searchable
          searchablePlaceholder="Search brands..."
          showMore
          limit={5}
          showMoreLimit={20}
        />
      </div>

      {/* Price range */}
      <div>
        <h3 className="font-semibold mb-2">Price</h3>
        <RangeInput
          attribute="price"
          precision={0}
          classNames={{
            input: 'w-20 px-2 py-1 border rounded',
          }}
        />
      </div>

      {/* In stock toggle */}
      <ToggleRefinement
        attribute="inStock"
        label="In Stock Only"
        on={true}
      />

      {/* Rating filter */}
      <div>
        <h3 className="font-semibold mb-2">Rating</h3>
        <RefinementList
          attribute="rating"
          transformItems={(items) =>
            items.map((item) => ({
              ...item,
              label: '★'.repeat(Number(item.label)),
            }))
          }
        />
      </div>
    </aside>

    {/* Results */}
    <main className="flex-1">
      <div className="flex justify-between items-center mb-4">
        <SearchBox placeholder="Search products..." />
        <SortBy
          items={[
            { label: 'Relevance', value: 'products' },
            { label: 'Price (Low to High)', value: 'products_price_asc' },
            { label: 'Price (High to Low)', value: 'products_price_desc' },
            { label: 'Rating', value: 'products_rating_desc' },
          ]}
        />
      </div>
      <Stats />
      <Hits hitComponent={ProductHit} />
    </main>
  </div>
</InstantSearch>

); }

// For sorting, create replica indices // products_price_asc: customRanking: ['asc(price)'] // products_price_desc: customRanking: ['desc(price)'] // products_rating_desc: customRanking: ['desc(rating)']

Anti_patterns

Pattern: Faceting on non-faceted attributes | Why: Must declare attributesForFaceting in settings | Fix: Add attributes to attributesForFaceting array
Pattern: Not using filterOnly() for hidden filters | Why: Wastes facet computation on non-displayed attributes | Fix: Use filterOnly(attribute) for filters you won't show

References

Query Suggestions and Autocomplete

Implement autocomplete with query suggestions and instant results.

Uses @algolia/autocomplete-js for standalone autocomplete or integrate with InstantSearch using SearchBox.

Query Suggestions require a separate index generated by Algolia.

Code_example

// Standalone Autocomplete // components/Autocomplete.tsx 'use client'; import { autocomplete, getAlgoliaResults } from '@algolia/autocomplete-js'; import algoliasearch from 'algoliasearch/lite'; import { useEffect, useRef } from 'react'; import '@algolia/autocomplete-theme-classic';

const searchClient = algoliasearch( process.env.NEXT_PUBLIC_ALGOLIA_APP_ID!, process.env.NEXT_PUBLIC_ALGOLIA_SEARCH_KEY! );

export function Autocomplete() { const containerRef = useRef(null);

useEffect(() => { if (!containerRef.current) return;

const search = autocomplete({
  container: containerRef.current,
  placeholder: 'Search for products',
  openOnFocus: true,
  getSources({ query }) {
    if (!query) return [];

    return [
      // Query suggestions
      {
        sourceId: 'suggestions',
        getItems() {
          return getAlgoliaResults({
            searchClient,
            queries: [
              {
                indexName: 'products_query_suggestions',
                query,
                params: { hitsPerPage: 5 },
              },
            ],
          });
        },
        templates: {
          header() {
            return 'Suggestions';
          },
          item({ item, html }) {
            return html`<span>${item.query}</span>`;
          },
        },
      },
      // Instant results
      {
        sourceId: 'products',
        getItems() {
          return getAlgoliaResults({
            searchClient,
            queries: [
              {
                indexName: 'products',
                query,
                params: { hitsPerPage: 8 },
              },
            ],
          });
        },
        templates: {
          header() {
            return 'Products';
          },
          item({ item, html }) {
            return html`
              <a href="/products/${item.objectID}">
                <img src="${item.image}" alt="${item.name}" />
                <span>${item.name}</span>
                <span>$${item.price}</span>
              </a>
            `;
          },
        },
        onSelect({ item, setQuery, refresh }) {
          // Navigate on selection
          window.location.href = `/products/${item.objectID}`;
        },
      },
    ];
  },
});

return () => search.destroy();

}, []);

return

; }

// Combined with InstantSearch import { connectSearchBox } from 'react-instantsearch'; import { autocomplete } from '@algolia/autocomplete-js';

// Or use built-in Autocomplete widget import { Autocomplete as AlgoliaAutocomplete } from 'react-instantsearch';

export function SearchWithAutocomplete() { return ( ); }

Anti_patterns

Pattern: Creating autocomplete without debouncing | Why: Every keystroke triggers search, wastes operations | Fix: Algolia autocomplete handles debouncing automatically
Pattern: Not using Query Suggestions index | Why: Missing search analytics for popular queries | Fix: Enable Query Suggestions in Algolia dashboard

References

Sharp Edges

Admin API Key in Frontend Code

Severity: CRITICAL

Indexing Rate Limits and Throttling

Severity: HIGH

Record Size and Index Limits

Severity: MEDIUM

PII in Index Names Visible in Network

Severity: MEDIUM

Searchable Attributes Order Affects Relevance

Severity: MEDIUM

Full Reindex Consumes All Operations

Severity: MEDIUM

Every Keystroke Counts as Search Operation

Severity: MEDIUM

SSR Hydration Mismatch with InstantSearch

Severity: MEDIUM

Replica Indices for Sorting Multiply Storage

Severity: LOW

Faceting Requires attributesForFaceting Declaration

Severity: MEDIUM

Validation Checks

Admin API Key in Client Code

Severity: ERROR

Admin API key must never be exposed to client-side code

Message: Admin API key exposed to client. Use search-only key.

Hardcoded Algolia API Key

Severity: ERROR

API keys should use environment variables

Message: Hardcoded Algolia credentials. Use environment variables.

Search Key Used for Indexing

Severity: ERROR

Indexing operations require admin key, not search key

Message: Search key used for indexing. Use admin key for write operations.

Single Record Indexing in Loop

Severity: WARNING

Batch records together for efficient indexing

Message: Single record indexing in loop. Use saveObjects for batch indexing.

Using deleteBy for Deletion

Severity: WARNING

deleteBy is expensive and rate-limited

Message: deleteBy is expensive. Prefer deleteObjects with specific IDs.

Frequent Full Reindex

Severity: WARNING

Full reindex wastes operations on unchanged data

Message: Frequent full reindex. Consider incremental sync for unchanged data.

Full Client Instead of Lite

Severity: INFO

Use lite client for smaller bundle in frontend

Message: Full Algolia client imported. Use algoliasearch/lite for frontend.

Regular InstantSearch in Next.js

Severity: WARNING

Use react-instantsearch-nextjs for SSR support

Message: Using regular InstantSearch. Use InstantSearchNext for Next.js SSR.

Missing Searchable Attributes Configuration

Severity: WARNING

Configure searchableAttributes for better relevance

Message: No searchableAttributes configured. Set attribute priority for relevance.

Missing Custom Ranking

Severity: INFO

Custom ranking improves business relevance

Message: No customRanking configured. Add business metrics (popularity, rating).

Collaboration

Delegation Triggers

user needs e-commerce checkout -> stripe-integration (Product search leading to purchase)
user needs search analytics -> segment-cdp (Track search queries and results)
user needs user authentication -> clerk-auth (Secured API keys per user)
user needs database setup -> postgres-wizard (Source data for indexing)
user needs serverless deployment -> aws-serverless (Lambda for indexing jobs)

When to Use

User mentions or implies: adding search to
User mentions or implies: algolia
User mentions or implies: instantsearch
User mentions or implies: search api
User mentions or implies: search functionality
User mentions or implies: typeahead
User mentions or implies: autocomplete search
User mentions or implies: faceted search
User mentions or implies: search index
User mentions or implies: search as you type

26 KiB Raw Permalink Blame History

Algolia Search Integration

Patterns

React InstantSearch with Hooks

Code_example

{hit.name}

Anti_patterns

References

Next.js Server-Side Rendering

Code_example

Anti_patterns

References

Data Synchronization and Indexing

Code_example

Anti_patterns

References

API Key Security and Restrictions

Code_example

Anti_patterns

References

Custom Ranking and Relevance Tuning

Code_example

Anti_patterns

References

Faceted Search and Filtering

Code_example

26 KiB

Raw Permalink Blame History