Database
Database management and queries
cloudflare-hyperdrive
by jackspace
Complete knowledge domain for Cloudflare Hyperdrive - connecting Cloudflare Workers to existing PostgreSQL and MySQL databases with global connection pooling, query caching, and reduced latency. Use when: connecting Workers to existing databases, migrating PostgreSQL/MySQL to Cloudflare, setting up connection pooling, configuring Hyperdrive bindings, using node-postgres/postgres.js/mysql2 drivers, integrating Drizzle ORM or Prisma ORM, or encountering "Failed to acquire a connection from the pool", "TLS not supported by the database", "connection refused", "nodejs_compat missing", "Code generation from strings disallowed", or Hyperdrive configuration errors. Keywords: hyperdrive, cloudflare hyperdrive, workers hyperdrive, postgres workers, mysql workers, connection pooling, query caching, node-postgres, pg, postgres.js, mysql2, drizzle hyperdrive, prisma hyperdrive, workers rds, workers aurora, workers neon, workers supabase, database acceleration, hybrid architecture, cloudflare tunnel database, wrangler hyperdrive, hyperdrive bindings, local development hyperdrive
backend-dev-guidelines
by jackspace
Comprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.
cloudflare-d1
by jackspace
Complete knowledge domain for Cloudflare D1 - serverless SQLite database on Cloudflare's edge network. Use when: creating D1 databases, writing SQL migrations, configuring D1 bindings, querying D1 from Workers, handling SQLite data, building relational data models, or encountering "D1_ERROR", "statement too long", "too many requests queued", migration failures, or query performance issues. Keywords: d1, d1 database, cloudflare d1, wrangler d1, d1 migrations, d1 bindings, sqlite workers, serverless database, edge database, d1 queries, sql cloudflare, prepared statements, batch queries, d1 api, wrangler migrations, D1_ERROR, D1_EXEC_ERROR, statement too long, database bindings, sqlite cloudflare, sql workers api, d1 indexes, query optimization, d1 schema
cloudflare-nextjs
by jackspace
Deploy Next.js applications (App Router and Pages Router) to Cloudflare Workers using the OpenNext adapter. This skill should be used when deploying Next.js apps with SSR, ISR, or server components to Cloudflare's serverless platform. It covers setup for both new and existing projects, configuration requirements, development workflows, integration with Cloudflare services (D1, R2, KV, Workers AI), and prevention of 10+ documented errors including worker size limits, runtime compatibility, database connection scoping, and security vulnerabilities. Keywords: Cloudflare Next.js, OpenNext Cloudflare, @opennextjs/cloudflare, Next.js Workers, Next.js App Router Cloudflare, Next.js Pages Router Cloudflare, Next.js SSR Cloudflare, Next.js ISR, server components cloudflare, server actions cloudflare, Next.js middleware workers, nextjs d1, nextjs r2, nextjs kv, Next.js deployment, opennextjs-cloudflare cli, nodejs_compat, worker size limit, next.js runtime compatibility, database connection scoping, Next.js migration cloudflare
Convex Agents Debugging
by Sstobo
"Troubleshoots agent behavior, logs LLM interactions, and inspects database state. Use this when responses are unexpected, to understand context the LLM receives, or to diagnose data issues."
convex-queries
by Sstobo
This skill should be used when implementing Convex query functions. It provides comprehensive guidelines for defining, registering, calling, and optimizing queries, including pagination, full text search, and indexing patterns.
convex-tanstack
by Sstobo
Comprehensive guide for building full-stack applications with Convex and TanStack Start. This skill should be used when working on projects that use Convex as the backend database with TanStack Start (React meta-framework). Covers schema design, queries, mutations, actions, authentication with Better Auth, routing, data fetching patterns, SSR, file storage, scheduling, AI agents, and frontend patterns. Use this when implementing features, debugging issues, or needing guidance on Convex + TanStack Start best practices.
Convex Agents Usage Tracking
by Sstobo
"Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources."
sql-expert
by AutumnsGrove
"Expert SQL query writing, optimization, and database schema design with support for PostgreSQL, MySQL, SQLite, and SQL Server. Use when working with databases for: (1) Writing complex SQL queries with joins, subqueries, and window functions, (2) Optimizing slow queries and analyzing execution plans, (3) Designing database schemas with proper normalization, (4) Creating indexes and improving query performance, (5) Writing migrations and handling schema changes, (6) Debugging SQL errors and query issues"
convex-mutations
by Sstobo
This skill should be used when implementing Convex mutation functions. It provides comprehensive guidelines for defining, registering, calling, and scheduling mutations, including database operations, transactions, and scheduled job patterns.
Prisma ORM Skill
by yebot
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hybrid-retrieval
by latestaiagents
Implement hybrid search combining vector and keyword retrieval for RAG systems. Use this skill when building RAG retrieval, combining semantic search with BM25, implementing reciprocal rank fusion (RRF), or optimizing retrieval accuracy. Activate when: vector search, keyword search, BM25, semantic search, hybrid RAG, retrieval optimization, search relevance, reranking.
corrective-rag
by latestaiagents
Implement Corrective RAG (CRAG) and Self-RAG for reliable, self-healing retrieval systems. Use this skill when building reliable RAG, preventing hallucinations, implementing retrieval evaluation, or adding self-correction to RAG pipelines. Activate when: corrective RAG, CRAG, self-RAG, hallucination prevention, retrieval evaluation, RAG reliability, self-healing RAG, document grading.
graphrag-patterns
by latestaiagents
Implement GraphRAG combining knowledge graphs with RAG for multi-hop reasoning. Use this skill when building knowledge graph RAG, implementing multi-hop queries, using Neo4j with RAG, or connecting entities across documents. Activate when: GraphRAG, knowledge graph, multi-hop reasoning, Neo4j RAG, entity extraction, relationship queries, graph database, connected data.
agentic-rag
by latestaiagents
Build agentic RAG systems with autonomous planning, reflection, and tool use. Use this skill when implementing agent-driven retrieval, query decomposition, iterative refinement, or multi-source RAG orchestration. Activate when: agentic RAG, A-RAG, autonomous retrieval, query planning, iterative RAG, multi-step retrieval, agent retrieval, RAG agent.
oceanbase-sql-doc
by amber-moe
Write and format OceanBase database SQL statement documentation following official style guidelines. Use when creating or editing SQL reference documentation for OceanBase database.
writing-checks
by continuedev
Write Continue check files that review pull requests with AI agents. Use when the user asks to create, write, or generate a check, or wants to enforce a convention on PRs.
paper-visualizer
by WilsonWukz
Transform research papers into professional visual schemas. Analyzes paper logic, selects optimal layout patterns, and generates detailed prompts for AI image generation.
sequential-thinking
by duongdev
Structured problem-solving through iterative reasoning with revision and branching capabilities for complex problems. Use when tackling multi-step problems with uncertain scope, design planning, architecture decisions, or systematic decomposition. Auto-activates when user asks about breaking down epics, designing systems, assessing complexity, or performing root-cause analysis. Uses 6-step process: Initial assessment (rough estimate) → Iterative reasoning (learn progressively) → Dynamic scope adjustment (refine as understanding deepens) → Revision mechanism (update when assumptions change) → Branching for alternatives (explore multiple approaches) → Conclusion (synthesize findings). Supports explicit uncertainty acknowledgment within thoughts. Adjusts total thought count dynamically (e.g., "Thought 3/8" when initially estimated 5). Recommends binary search for intermittent issues and five-whys technique for root causes.
oceanbase-syntax
by amber-moe
Write SQL syntax definitions for OceanBase documentation. Syntax sections define structure without semicolons, while examples show executable statements. Use when writing syntax sections or reviewing SQL statement documentation.
oceanbase-sql-optimization
by amber-moe
SQL optimization best practices for OceanBase database (MySQL & Oracle modes). Covers query optimization, index usage, execution plan analysis, slow query tuning, and performance optimization techniques. Activates for SQL optimization, query performance, index design, execution plan, slow query, database performance.
oceanbase-schema-design
by amber-moe
Schema design best practices for OceanBase database (MySQL & Oracle modes). Covers table design, partitioning strategies, table groups, index design, and schema optimization principles. Activates for schema design, table design, partition design, index design, database design, DDL.
db
by johnlindquist
Database operations for SQLite, PostgreSQL, and MySQL. Use for queries, schema inspection, migrations, and AI-assisted query generation.
platform-knowledge
by DoubleslashSE
Deep knowledge of GitHub Actions, Railway, Supabase, and Postgres platforms. Use when troubleshooting, configuring, or optimizing any of these platforms.