Claude-code-plugins-plus-skills algolia-core-workflow-a
install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/algolia-pack/skills/algolia-core-workflow-a" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-algolia-core-workflow-a && rm -rf "$T"
manifest:
plugins/saas-packs/algolia-pack/skills/algolia-core-workflow-a/SKILL.mdsource content
Algolia Core Workflow A — Search & Filtering
Overview
Primary Algolia workflow: full-text search with filters, faceted navigation, hit highlighting, and pagination. Uses
searchSingleIndex (v5) with real Algolia search parameters.
Prerequisites
- Completed
andalgolia-install-auth
setupalgolia-hello-world - Index populated with records (see
)algolia-hello-world - Index settings configured with
andsearchableAttributesattributesForFaceting
Instructions
Step 1: Configure Index for Filtering
import { algoliasearch } from 'algoliasearch'; const client = algoliasearch(process.env.ALGOLIA_APP_ID!, process.env.ALGOLIA_ADMIN_KEY!); await client.setSettings({ indexName: 'products', indexSettings: { // What to search (ordered = priority matters) searchableAttributes: ['name', 'description', 'brand', 'category'], // What to filter/facet on — prefix with filterOnly() if no facet counts needed attributesForFaceting: [ 'searchable(brand)', // Searchable facet: users can search within brand values 'category', // Regular facet: shown in facet panels 'filterOnly(price)', // Filter only: no counts computed, saves CPU 'filterOnly(in_stock)', ], // Custom ranking: tie-breaker after Algolia's relevance ranking customRanking: ['desc(sales_count)', 'desc(rating)'], // What comes back in hits attributesToRetrieve: ['name', 'brand', 'price', 'image_url', 'category'], attributesToHighlight: ['name', 'description'], attributesToSnippet: ['description:30'], // 30-word snippet }, });
Step 2: Search with Filters
// Algolia filter syntax uses SQL-like expressions const { hits, nbHits, facets } = await client.searchSingleIndex({ indexName: 'products', searchParams: { query: 'running shoes', // Numeric/boolean/string filters filters: 'price < 150 AND in_stock = true', // OR: facetFilters for UI-driven filtering (array = OR, nested = AND) // facetFilters: [['category:shoes', 'category:sneakers'], ['brand:Nike']], // ^ shoes OR sneakers, AND brand is Nike // Numeric range filters numericFilters: ['price >= 50', 'price <= 150'], // Request facet counts for these attributes facets: ['category', 'brand'], // Pagination hitsPerPage: 20, page: 0, // Highlighting highlightPreTag: '<mark>', highlightPostTag: '</mark>', }, }); console.log(`${nbHits} results found`); // Access facet counts for building filter UI // facets = { category: { shoes: 42, sneakers: 18 }, brand: { Nike: 30, Adidas: 25 } } for (const [facetName, values] of Object.entries(facets || {})) { console.log(`${facetName}:`); for (const [value, count] of Object.entries(values)) { console.log(` ${value}: ${count}`); } }
Step 3: Display Highlighted Results
hits.forEach(hit => { // _highlightResult contains highlighted versions of each field const highlighted = hit._highlightResult; const name = highlighted?.name?.value || hit.name; const snippet = hit._snippetResult?.description?.value || ''; console.log(`${name} — $${hit.price}`); if (snippet) console.log(` ${snippet}`); });
Step 4: Implement Pagination
async function paginatedSearch(query: string, page: number = 0) { const { hits, nbHits, nbPages, hitsPerPage } = await client.searchSingleIndex({ indexName: 'products', searchParams: { query, hitsPerPage: 20, page, }, }); return { hits, totalHits: nbHits, totalPages: nbPages, currentPage: page, hasMore: page < nbPages - 1, }; }
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Malformed string | Check filter syntax: , , use AND/OR/NOT |
| Field not in | Add field to in settings |
unexpectedly | Typo tolerance may be disabled | Check setting; verify data is indexed |
| Stale results after update | Didn't wait for task | Use after indexing |
Examples
Multi-Index Search (Federated)
const { results } = await client.search({ requests: [ { indexName: 'products', query: 'laptop', hitsPerPage: 5 }, { indexName: 'articles', query: 'laptop', hitsPerPage: 3 }, ], }); // results[0].hits = product hits, results[1].hits = article hits
Search with Optional Filters (boost, not require)
const { hits } = await client.searchSingleIndex({ indexName: 'products', searchParams: { query: 'shoes', optionalFilters: ['brand:Nike'], // Nike products ranked higher but not required }, });
Resources
Next Steps
For indexing and data sync workflows, see
algolia-core-workflow-b.