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Found 1,084 Skills
Official PostgreSQL Model Context Protocol Server for database interaction.
Standardize authentication and persistent memory storage using Supabase PostgreSQL. Use when building SaaS apps that need user auth, cross-device sync, and conversation history.
PostgreSQL best practices, query optimization, connection troubleshooting, and performance improvement. Load when working with Postgres databases.
Safegres is Constructive's security protocol for expressing authorization as Authz* policy nodes (types + JSON configs). This skill defines each Authz* type, its config shape, semantics, and when to use it. No SQL and no SDK/grant/RLS steps.
Expert in Supabase architecture, SQL optimization (PostgreSQL), and backend security (RLS) for real-time tracking systems.
Reduce an unoptimized-query-oracle test failure log to the simplest possible reproduction case. Use when you have unoptimized-query-oracle*.log files from a failed roachtest and need to find the minimal SQL to reproduce the bug.
Kinetica SQL query knowledge. Activate when the user is writing analytical queries for Kinetica, asking about Kinetica-specific functions, or working with geospatial, time-series, graph, or vector data.
Database sharding for PostgreSQL/MySQL with hash/range/directory strategies. Use for horizontal scaling, multi-tenant isolation, billions of records, or encountering wrong shard keys, hotspots, cross-shard transactions, rebalancing issues.
Proxy2.0 Java CRUD Interface Implementation Workflow: A 10-step standard process from requirement to full delivery. Use when: (1) Implementing new CRUD features for an entity, (2) Adding new API endpoints with full stack (DO/Mapper/VO/Service/Controller/SQL), (3) Following the standard implementation workflow for new business entities.
Convert Dune (Trino) SQL queries to Allium (Snowflake) SQL. SQL dialect conversions (Trino → Snowflake) apply to all chains. Comprehensive Solana and EVM chain mappings included.
Use this skill when designing data warehouses, building star or snowflake schemas, implementing slowly changing dimensions (SCDs), writing analytical SQL for Snowflake or BigQuery, creating fact and dimension tables, or planning ETL/ELT pipelines for analytics. Triggers on dimensional modeling, surrogate keys, conformed dimensions, warehouse architecture, data vault, partitioning strategies, materialized views, and any task requiring OLAP schema design or warehouse query optimization.
Store and retrieve memories (notes, facts, decisions, snippets, images) using a local SQLite database with full-text search. Use when you need to remember information across sessions, recall previous decisions, store code snippets, or search your knowledge base.