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Found 2,493 Skills
[Pragmatic DDD Architecture] How to structure **Use Cases** using DDD and Railway-Oriented Programming (neverthrow Result types). Tailored for TypeScript + drizzle-orm + node-postgres stack. **Use whenever creating or modifying any Use Case class — even simple ones like "Exists" or "List" operations — to ensure type-safe error unions, proper transactional boundaries, Value Object-only contracts, auth-first patterns, and Result-based error handling.** Includes references to working examples (Create, List, Exists patterns). Depends on 'repositories' skill.
[Pragmatic DDD Architecture] Guide for creating tests. Use when creating unit tests, integration tests, or understanding test conventions. Covers our tightly coupled stack: Vitest (unit, integration, ui projects), file naming, transactional database integration tests (txTest) with testcontainers/node-postgres/drizzle, mock patterns (createMock*RepoWithAssertions), and neverthrow Result assertions.
[Pragmatic DDD Architecture] Guide for creating PostgreSQL tables and defining relations using Drizzle ORM. Use when creating new schemas, managing PostgreSQL indexes, enums, mapping column names to camelCase for the domain, and explicitly exporting constraint names.
Use the Paragraph REST API or TypeScript SDK to manage posts, publications, subscribers, and coins on paragraph.com. No installation required — just HTTP requests or `npm install @paragraph-com/sdk`. Trigger when the user asks to integrate with, build on, or call the Paragraph API.
SQLite file format, B-trees, pages, cells, overflow, freelist that is used in tursodb
Configure Qdrant vector database for GrepAI. Use this skill for high-performance vector search.
Defines ROI-based coverage targets with critical path identification, layer-specific targets, and explicit "don't test this" guidelines. Use for "test coverage", "coverage strategy", "test priorities", or "coverage targets".
Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR evaluation, and production search systems. Modern patterns for retrieval-augmented generation and semantic search.
Diagnose ClickHouse disk usage, compression efficiency, part sizes, and storage bottlenecks. Use for disk space issues and slow IO.
Use when asking 'where should I store this data', 'should I use SwiftData or files', 'CloudKit vs iCloud Drive', 'Documents vs Caches', 'local or cloud storage', 'how do I sync data', 'where do app files go' - comprehensive decision framework for all iOS storage options
Provides patterns to build Retrieval-Augmented Generation (RAG) systems for AI applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Appwrite TypeScript SDK skill. Use when building browser-based JavaScript/TypeScript apps, React Native mobile apps, or server-side Node.js/Deno backends with Appwrite. Covers client-side auth (email, OAuth, anonymous), database queries, file uploads, real-time subscriptions, and server-side admin via API keys for user management, database administration, storage, and functions.