Algolia Search Integration workflow skill. Use this skill when the user needs Expert patterns for Algolia search implementation, indexing and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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Algolia Search Integration workflow skill. Use this skill when the user needs Expert patterns for Algolia search implementation, indexing and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-bundle-integration-apis/skills/algolia-search from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
Algolia Search Integration Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Patterns, Sharp Edges, Validation Checks, Collaboration, Limitations.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
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
Operating Table
Situation
Start here
Why it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
SKILL.md
Starts with the smallest copied file that materially changes execution
Supporting context
SKILL.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts
);
}
);
}
);
}
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
Read the overview and provenance files before loading any copied upstream support files.
Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
Validate the result against the upstream expectations and the evidence you can point to in the copied files.
Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.
Imported Workflow Notes
Imported: 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';
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
// 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'
// 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(),
});
}
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
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';
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,
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
// 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
Use @algolia-search-v4 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @algolia-search-v4 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @algolia-search-v4 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @algolia-search-v4 using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
Treat generated examples as scaffolding; adapt them to the concrete task before execution.
Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-bundle-integration-apis/skills/algolia-search, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
@2d-games-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@3d-games-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@algorithmic-art-v4 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@api-patterns-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
Resource family
What it gives the reviewer
Example path
references
copied reference notes, guides, or background material from upstream
references/n/a
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
