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Found 1,195 Skills
Guidelines for developing with Convex backend-as-a-service platform, covering queries, mutations, actions, and real-time data patterns
Develop SpacetimeDB server modules in Rust. Use when writing reducers, tables, or module logic.
Prevent N+1 queries by eager loading; enable lazy-loading protection in non-production; choose selective fields
Wrap multi-write operations in transactions; use dispatchAfterCommit and idempotency patterns to ensure consistency
Set up Kysely with TiDB Cloud (TiDB X), including @tidbcloud/kysely over the TiDB Cloud serverless HTTP driver for serverless or edge environments, plus standard TCP usage. Use for Kysely + TiDB Cloud connection setup, demo snippets, and environment-specific guidance.
PostgreSQL best practices: multi-tenancy with RLS, schema design, Alembic migrations, async SQLAlchemy, and query optimization.
Rust 1.92+ development specialist covering Axum, Tokio, SQLx, and memory-safe systems programming. Use when building high-performance, memory-safe applications or WebAssembly.
Use when running or maintaining an Opportunity Solution Tree (OST) workflow with a lightweight graph store and CLI. Provides a single entry skill that routes to outcome, opportunity, solution, and assumption/experiment phases via progressive disclosure.
Amazon Bedrock Knowledge Bases for RAG (Retrieval-Augmented Generation). Create knowledge bases with vector stores, ingest data from S3/web/Confluence/SharePoint, configure chunking strategies, query with retrieve and generate APIs, manage sessions. Use when building RAG applications, implementing semantic search, creating document Q&A systems, integrating knowledge bases with agents, optimizing chunking for accuracy, or querying enterprise knowledge.
PostgreSQL administration and setup including installation, configuration, backup/recovery, replication, and high-availability. Learn production PostgreSQL operations.
Automatically analyze performance issues when user mentions slow pages, performance problems, or optimization needs. Performs focused performance checks on specific code, queries, or components. Invoke when user says "this is slow", "performance issue", "optimize", or asks about speed.
Validates code changes against DeepRead's mandatory patterns and standards defined in AGENTS.md. Use this after writing or modifying code to catch violations before committing.