Build production Algolia search integrations with skills for indexing from databases/APIs, faceted querying with filters/highlighting, error diagnosis/fixes, security via scoped keys/RBAC, CI/CD pipelines with GitHub Actions/Vercel deploys, cost/performance optimization, local dev setups, migrations, monitoring, and incident runbooks in TypeScript/Node.js apps.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin algolia-packHandle Algolia rate limits and throttling: per-key limits, indexing queue limits, 429 responses, and backoff strategies. Trigger: "algolia rate limit", "algolia throttling", "algolia 429", "algolia retry", "algolia backoff", "algolia too many requests".
Implement Algolia reference architecture: index design, multi-index strategy, data pipeline, search service layer, and frontend/backend separation. Trigger: "algolia architecture", "algolia best practices", "algolia project structure", "how to organize algolia", "algolia index design".
Apply production-ready algoliasearch v5 patterns: singleton client, typed search, error handling, and batch operations. Use when implementing Algolia integrations, refactoring SDK usage, or establishing team coding standards. Trigger: "algolia SDK patterns", "algolia best practices", "algolia code patterns", "idiomatic algolia".
Apply Algolia security best practices: API key scoping, secured API keys, frontend vs backend key separation, and key rotation. Trigger: "algolia security", "algolia API key security", "secure algolia", "algolia secrets", "algolia key rotation", "algolia secured key".
Upgrade algoliasearch from v4 to v5 with breaking change detection and codemod. Use when upgrading SDK versions, detecting deprecations, or migrating initIndex patterns. Trigger: "upgrade algolia", "algolia migration v5", "algolia breaking changes", "update algolia SDK", "algolia v4 to v5".
Configure Algolia CI/CD: GitHub Actions for index validation, automated reindexing on deploy, and integration testing against real Algolia indices. Trigger: "algolia CI", "algolia GitHub Actions", "algolia automated tests", "CI algolia", "algolia deploy pipeline".
Diagnose and fix the top Algolia API errors: 400, 403, 404, 429, ApiError, RetryError, and indexing failures. Trigger: "algolia error", "fix algolia", "algolia not working", "debug algolia", "algolia 429", "algolia 403".
Implement Algolia search with filters, facets, highlighting, and pagination. The primary money-path workflow: search records, apply filters, display results. Trigger: "algolia search", "search with algolia", "algolia filters", "algolia facets", "algolia search implementation".
Implement Algolia indexing pipeline: data sync, partial updates, synonyms, and rules. The secondary money-path workflow: keep your index in sync with source data. Trigger: "algolia indexing", "sync data to algolia", "algolia synonyms", "algolia rules", "algolia partial update", "algolia reindex".
Optimize Algolia costs: understand search request vs record pricing, reduce operations with batching and caching, monitor usage via Analytics API. Trigger: "algolia cost", "algolia billing", "reduce algolia costs", "algolia pricing", "algolia expensive", "algolia budget".
Implement Algolia data handling: record transforms, PII filtering before indexing, data retention, GDPR/CCPA compliance with Algolia's deleteByQuery and Insights deletion. Trigger: "algolia data", "algolia PII", "algolia GDPR", "algolia data retention", "algolia privacy", "algolia CCPA", "algolia data sync".
Collect Algolia debug evidence: index stats, API key ACLs, query logs, and network diagnostics for support tickets. Trigger: "algolia debug", "algolia support bundle", "collect algolia logs", "algolia diagnostic", "algolia troubleshoot".
Deploy Algolia-powered apps to Vercel, Fly.io, and Cloud Run with proper API key management and InstantSearch frontend integration. Trigger: "deploy algolia", "algolia Vercel", "algolia production deploy", "algolia Cloud Run", "algolia Fly.io", "algolia InstantSearch".
Execute Algolia production readiness checklist: index settings, key security, replica configuration, monitoring, and rollback procedures. Trigger: "algolia production", "deploy algolia", "algolia go-live", "algolia launch checklist", "algolia production ready".
Configure Algolia enterprise access control: team-scoped API keys, Secured API Keys for multi-tenant RBAC, dashboard team management, and audit logging. Trigger: "algolia RBAC", "algolia enterprise", "algolia roles", "algolia permissions", "algolia team access", "algolia multi-tenant", "algolia SSO".
Create a minimal working Algolia example — index records and search them. Use when starting a new Algolia integration, testing your setup, or learning the saveObjects/searchSingleIndex pattern. Trigger: "algolia hello world", "algolia example", "algolia quick start", "first algolia search".
Execute Algolia incident response: triage search failures, distinguish Algolia-side vs your-side issues, apply fallbacks, and run postmortems. Trigger: "algolia incident", "algolia outage", "algolia down", "algolia on-call", "algolia emergency", "algolia broken", "search is down".
Install and configure the Algolia JavaScript v5 client with proper API key management. Use when setting up a new Algolia integration, configuring Application ID and API keys, or initializing the algoliasearch client in a Node.js/TypeScript project. Trigger: "install algolia", "setup algolia", "algolia auth", "configure algolia keys".
Configure Algolia local development with separate dev index, mocking, and testing. Use when setting up a development environment, configuring test workflows, or establishing a fast iteration cycle with Algolia. Trigger: "algolia dev setup", "algolia local development", "algolia dev environment", "test algolia locally".
Migrate to Algolia from Elasticsearch, Typesense, or Meilisearch. Covers data migration, query translation, replaceAllObjects zero-downtime swap, and strangler fig traffic shifting. Trigger: "migrate to algolia", "switch to algolia", "algolia migration", "elasticsearch to algolia", "replace search engine", "algolia replatform".
Configure Algolia across dev/staging/production: index prefixing, per-environment API keys, settings-as-code, and environment isolation guards. Trigger: "algolia environments", "algolia staging", "algolia dev prod", "algolia environment setup", "algolia config by env".
Set up observability for Algolia: Prometheus metrics for search latency/errors, OpenTelemetry tracing, structured logging, and Grafana dashboards. Trigger: "algolia monitoring", "algolia metrics", "algolia observability", "monitor algolia", "algolia alerts", "algolia tracing", "algolia dashboard".
Optimize Algolia search performance: record size, searchable attributes, replica strategy, response caching, and query-time parameter tuning. Trigger: "algolia performance", "optimize algolia", "algolia latency", "algolia slow", "algolia caching", "algolia response time".
Implement Algolia Insights API for click/conversion tracking, search analytics, and real-time event-driven index updates via database change listeners. Trigger: "algolia events", "algolia analytics", "algolia insights", "algolia click tracking", "algolia conversion", "algolia event tracking".
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Claude Code skill pack for Glean (24 skills)
Editorial "Integration & APIs" bundle for Claude Code from Antigravity Awesome Skills.
Use this agent when designing APIs, building server-side logic, implementing databases, or architecting scalable backend systems. This agent specializes in creating robust, secure, and performant backend services. Examples:\n\n<example>\nContext: Designing a new API\nuser: "We need an API for our social sharing feature"\nassistant: "I'll design a RESTful API with proper authentication and rate limiting. Let me use the backend-architect agent to create a scalable backend architecture."\n<commentary>\nAPI design requires careful consideration of security, scalability, and maintainability.\n</commentary>\n</example>\n\n<example>\nContext: Database design and optimization\nuser: "Our queries are getting slow as we scale"\nassistant: "Database performance is critical at scale. I'll use the backend-architect agent to optimize queries and implement proper indexing strategies."\n<commentary>\nDatabase optimization requires deep understanding of query patterns and indexing strategies.\n</commentary>\n</example>\n\n<example>\nContext: Implementing authentication system\nuser: "Add OAuth2 login with Google and GitHub"\nassistant: "I'll implement secure OAuth2 authentication. Let me use the backend-architect agent to ensure proper token handling and security measures."\n<commentary>\nAuthentication systems require careful security considerations and proper implementation.\n</commentary>\n</example>
Use this agent when monitoring system health, optimizing performance, managing scaling, or ensuring infrastructure reliability. This agent excels at keeping studio applications running smoothly while preparing for growth and preventing disasters. Examples:\n\n<example>\nContext: App experiencing slow performance
Cloudflare Vectorize vector database for semantic search and RAG. Use for vector indexes, embeddings, similarity search, or encountering dimension mismatches, filter errors.
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.