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Found 1,703 Skills
Builds full-stack apps with TanStack Start, Convex backend, Better-Auth authentication, and Shadcn UI. Use when creating React apps with real-time database, auth, or this specific stack.
Use the Notion CLI (`ntn`) to interact with the Notion API, manage workers, and upload files. Use when the user asks to "call the Notion API", "deploy a worker", "upload a file to Notion", "create a page", "query a database", or any task involving the `ntn` command.
Appwrite Kotlin SDK skill. Use when building native Android apps or server-side Kotlin/JVM backends with Appwrite. Covers client-side auth (email, OAuth with Activity integration), database queries, file uploads, real-time subscriptions with coroutine support, and server-side admin via API keys for user management, database administration, storage, and functions.
ByteHouse Slow Query Analysis and Performance Optimization Tool, used to identify and analyze slow queries, provide query performance optimization suggestions, view query execution plans, and analyze query historical trends. Use this Skill when you need to identify and analyze slow queries in ByteHouse database, get query performance optimization suggestions, view query execution plans, or analyze query historical trends.
Run SQL queries against the attached DuckDB database or ad-hoc against files. Accepts raw SQL or natural language questions. Uses DuckDB Friendly SQL idioms.
Apply when working with MasterData v2 entities, schemas, or MasterDataClient in VTEX IO apps, or when anyone designing or implementing a solution must scrutinize whether Master Data is the correct storage. The skill prompts hard questions: native Catalog or other VTEX stores, OMS, or an external database may be better; do not default to MD because it is convenient. Covers JSON Schema, CRUD, triggers, search and scroll, schema lifecycle, purchase-path avoidance, single source of truth, and BFF handoffs. Use for justified custom persistence while avoiding the 60-schema limit.
In-process ClickHouse SQL engine for Python — run ClickHouse SQL queries directly on local files, remote databases, and cloud storage without a server. Use when the user wants to write SQL queries against Parquet/CSV/ JSON files, use ClickHouse table functions (mysql(), s3(), postgresql(), iceberg(), deltaLake() etc.), build stateful analytical pipelines with Session, use parametrized queries, window functions, or other advanced ClickHouse SQL features. Also use when the user explicitly mentions chdb.query(), ClickHouse SQL syntax, or wants cross-source SQL joins. Do NOT use for pandas-style DataFrame operations — use chdb-datastore instead.
[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.
Node.js/Bun backend reference skill: TypeScript-first, structured error handling, pino logging, Zod validation, async patterns, HTTP server conventions, database access, auth, queues, caching, testing, security, CLI tooling, and observability. Covers both Node.js and Bun runtimes. Use when the task touches server-side TypeScript/JavaScript code and should follow the project's backend conventions.
Search Web of Science by topic, author, title, DOI, or advanced query. Supports edition/database filtering and sort.
gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.