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Found 271 Skills
Apply DriveMind, the calm reliability layer for AI agents. Use when a task needs steady follow-through, clearer progress, stronger persistence without recklessness, explicit safety boundaries, human-in-the-loop collaboration, post-task review, reusable memory, or when the user says things like 'keep pushing', 'don’t stop too early', 'be steady', 'if risk is unclear ask me', 'review this after', or 'write down the lesson'.
Use when deploying a database to Zeabur. Use when user needs MySQL, PostgreSQL, MongoDB, or Redis. Use when user says "I need a database", "add database", "deploy postgres", "set up MySQL", "add Redis", "add MongoDB", or "connect to database". Also use when user mentions data persistence issues like "data lost after restart", "data not saved", "data disappears", "need persistent storage for data", or "how to persist data". Also use when integrating a database with an existing service.
Use when you need MongoDB persistence in Micronaut — including @MongoRepository design, document modeling, indexes, query patterns, and error handling. This should trigger for requests such as Add MongoDB in Micronaut; Review Micronaut Data Mongo design; Improve error handling for Micronaut Mongo operations. Part of cursor-rules-java project
Wire Firebase Auth (email/password, Google, Apple) and Cloud Firestore into an Ionic Capacitor app. Trigger when adding Firebase Auth, Firestore, social sign-in via Firebase, or backend persistence using Google's Firebase platform.
Use for Bitrix SQL and ORM patterns raw SQL or Connection queries, DataManager maps or field definitions, Objectify objects or collections, ORM queries or filters, ORM writes or batch persistence. Use when designing, reviewing, or implementing DB reads, writes, schema, or data access code.
Xcode project setup, SwiftData persistence, testing, debugging, profiling, and app distribution for iOS development. This skill should be used when setting up Xcode projects, working with SwiftData models and queries, writing Swift tests, debugging with breakpoints, profiling with Instruments, distributing via TestFlight, or building for visionOS and ML features.
End-to-end workflow for TypeScript db-core modules: discover schema/model inputs, run DB/document/DAO generation, scaffold DB/document converters, and scaffold procedures with capability-aware validation and safe persistence boundaries. Use when the user asks to regenerate db-core artifacts, generate beans/DAOs from schemas, scaffold or update converters, or scaffold procedure CRUD methods. Trigger keywords: db-core, Db beans, DAO, converter, procedure.
Create, read, and manage Feishu tasks with automatic user authorization. Use when you need to create tasks that your user can directly edit, read task lists, manage task details, or check calendar events. Supports automatic token refresh and persistence across sessions. All operations are performed with user identity, ensuring proper permissions.
Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.
Implements Syncfusion React Grid component for feature-rich data tables and grids. Use this when working with data display, sorting, filtering, grouping, aggregates, editing, or exporting. This skill covers grid configuration, CRUD operations, virtual scrolling or infinite scrolling, hierarchy grids, state persistence, and advanced data management features for data-intensive applications.
This skill should be used when the user asks to "offload context to files", "implement dynamic context discovery", "use filesystem for agent memory", "reduce context window bloat", or mentions file-based context management, tool output persistence, agent scratch pads, or just-in-time context loading. A core context engineering skill — also activates when the user mentions "context engineering" or "context-engineering" in the context of extending context beyond the window via filesystem strategies.
Unity New Input System correctness patterns. Catches common mistakes with action reading (triggered vs IsPressed vs WasPressedThisFrame), action map switching, rebinding persistence, InputValue lifetime, PassThrough vs Value, local multiplayer device assignment, and control scheme auto-switching. PATTERN format: WHEN/WRONG/RIGHT/GOTCHA. Based on Unity 6.3 LTS.