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Found 208 Skills
Minimal multimodal embedding smoke test for Model Studio VL embedding models.
Use this skill for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations. **Trigger when user asks to:** - Design or modify PostgreSQL tables, schemas, or data models - Choose data types, constraints, indexes, or partitioning strategies - Work with pgvector embeddings, semantic search, or RAG - Set up full-text search, hybrid search, or BM25 ranking - Use PostGIS for spatial/geographic data - Set up TimescaleDB hypertables for time-series data - Migrate tables to hypertables or evaluate migration candidates **Keywords:** PostgreSQL, Postgres, SQL, schema, table design, indexes, constraints, pgvector, PostGIS, TimescaleDB, hypertable, semantic search, hybrid search, BM25, time-series
Designs production-grade RAG pipelines with chunking optimization, retrieval evaluation, and pipeline architecture. Use when building a RAG system, selecting a chunking strategy, choosing a vector database, optimizing retrieval quality, designing embedding pipelines, or evaluating RAG performance with RAGAS metrics.
KUDO platform help — enterprise real-time AI speech translation and human interpretation in 200+ languages, embeddable widget for any meeting platform, 12,000+ interpreter marketplace, SOC 2 Type 2 + ISO 27001. Use when setting up KUDO for multilingual meetings or conferences, choosing between AI speech translation and human interpreters on KUDO, KUDO embeddable widget not working on a third-party event platform, comparing KUDO vs Interprefy vs Wordly vs JotMe for live interpretation, understanding KUDO Pro vs ProPlus vs ProPlatinum vs Enterprise pricing, or embedding KUDO translation into a hybrid event workflow. Do NOT use for choosing between all AI note-takers (use /sales-note-taker) or reviewing a call for coaching (use /sales-call-review).
Tableau platform help — Tableau Desktop, Tableau Cloud, Tableau Server, Tableau Prep, Tableau Pulse, Embedding API, REST API (v3.28, PAT/JWT auth, 300+ endpoints), MCP server, and Tableau+. Use when dashboards are slow with large datasets, LOD expressions or calculated fields aren't working, licensing costs are confusing or spiraling, Tableau won't connect to Salesforce or your data warehouse, embedded analytics aren't rendering, Tableau Prep flows keep failing, or you need help choosing Creator vs Explorer vs Viewer licenses. Do NOT use for general CRM config (use /sales-salesforce) or sales forecasting methodology (use /sales-forecast).
Payhip platform help — digital downloads, courses, memberships, coaching, store builder, marketing tools, API. Use when setting up a Payhip store or product, choosing between Payhip Free vs Plus vs Pro plan, configuring Payhip coupons or affiliate program, connecting Payhip to an email service provider, embedding Payhip on an existing website, troubleshooting Payhip checkout or payment issues, or managing Payhip webhooks and license keys. Do NOT use for general digital product strategy without a Payhip context (use /sales-digital-products).
Integrate Tavus CVI into React apps using @tavus/cvi-ui components. Use when embedding conversations in web apps, customizing the video UI, using React hooks for CVI events, or building custom conversation interfaces with Vite/Next.js.
Apply Convex database best practices for cost optimization, performance, security, and architecture. Use when: building Convex backends, optimizing queries, handling embeddings/vector search, reviewing Convex code, designing schemas, planning migrations, or discussing Convex architecture. Keywords: Convex, real-time database, queries, mutations, actions, indexes, pagination, vector search, embeddings, schema, migrations, ctx.auth, convex-helpers, bandwidth.
Local SEO Analysis and Optimization Expert. Automatically detect whether a project requires local SEO, analyze NAP (Name, Address, Phone) consistency, local keyword optimization, Google Business Profile (GBP) optimization, and local structured data generation. Provide search engine ranking optimization suggestions for local businesses, including NAP standardization, local keyword strategies, GBP completeness checks, review strategies, map embedding, and local SEO audits.
Retrieval-Augmented Generation - chunking strategies, embedding, vector search, hybrid retrieval, reranking, query transformation. Use when building RAG pipelines, knowledge bases, or context-augmented applications.
Configure Spice.ai in-memory caching for SQL query results, search results, and embeddings. Use when setting up caching, tuning cache TTL/size/eviction, configuring stale-while-revalidate, custom cache keys, or cache-control headers.
Build complete document knowledge bases with PDF text extraction, OCR for scanned documents, vector embeddings, and semantic search. Use this for creating searchable document libraries from folders of PDFs, technical standards, or any document collection.