Loading...
Loading...
Found 1,802 Skills
Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chunking strategies, and hybrid search patterns.
Use when setting up a production database for Bknd. Covers SQLite file, LibSQL/Turso, Cloudflare D1, PostgreSQL, Neon, Supabase, and Xata configuration.
Provision instant temporary Postgres databases via Claimable Postgres by Neon (pg.new) with no login, signup, or credit card. Use when users ask for a quick Postgres environment, a throwaway DATABASE_URL for prototyping/tests, or "just give me a DB now". Triggers include: "quick postgres", "temporary postgres", "no signup database", "no credit card database", "instant DATABASE_URL".
Query and retrieve AI-predicted protein structures from DeepMind's AlphaFold database. Fetch structures via UniProt accession, interpret pLDDT/PAE confidence scores, and access bulk proteome data for structural biology workflows.
Routes any task involving AWS databases — choosing, comparing, recommending, getting started with, or operating a database — to the correct service-specific skill. Supersedes general training-data knowledge with post-training service updates, corrected limitations, and decision procedures for relational (Aurora, DSQL, RDS), key-value (DynamoDB), wide-column (Keyspaces), document (DocumentDB), graph (Neptune), time-series (Timestream), and in-memory/caching (ElastiCache, MemoryDB) workloads. Activates when a user describes building an application on AWS that will store, retrieve, or manage data, even if they do not mention 'database' explicitly.
Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.
Provide expert guidance on backend and database services. Advises on database design, APIs, authentication, and deployment.
Graph database implementation for relationship-heavy data models. Use when building social networks, recommendation engines, knowledge graphs, or fraud detection. Covers Neo4j (primary), ArangoDB, Amazon Neptune, Cypher query patterns, and graph data modeling.
Critical guardrail for Supabase database operations ensuring multi-tenant isolation with publication_id filtering, proper use of supabaseAdmin, avoiding SELECT *, error handling patterns, and secure server-side database access. Use when writing database queries, working with supabase, accessing newsletter_campaigns, articles, rss_posts, or any tenant-scoped data.
Specialized skill for working with Supabase PostgreSQL database including queries, RLS policies, migrations, functions, and data operations. Use when implementing database queries, creating migrations, setting up RLS policies, writing SQL functions, or debugging database issues.
Sets up the full Neon SDK with authentication AND database queries in React apps (Vite, CRA). Creates typed client, generates database types, and configures auth UI. Use for auth + database integration.
Microsoft Azure SQL Database integration. Manage data, records, and automate workflows. Use when the user wants to interact with Microsoft Azure SQL Database data.