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Found 468 Skills
Search and retrieve documentation for libraries via Context7 API. Use for getting up-to-date documentation context for programming libraries like React, Next.js, etc.
MCP (Model Context Protocol) 服务器构建指南
Guides development and debugging of Fynd extensions using the FDK (Fynd Development Kit). Covers backend layout (Express, platform/partner/basic routes), webhooks, company-scoped config, and common patterns for catalog, custom, and platform-scoped extensions. Use when working on any Fynd extension, FDK, Fynd Platform APIs, partner panel, or extension webhooks.
When the user wants to build GTM automation with code, design workflow architectures, use AI agents for GTM tasks, or implement the 'architecture over tools' principle. Also use when the user mentions 'GTM engineering,' 'GTM automation,' 'n8n,' 'Make,' 'Zapier,' 'workflow automation,' 'Clay API,' 'instruction stacks,' 'AI agents for GTM,' or 'revenue automation.' This skill covers technical GTM infrastructure from workflow design through agent orchestration.
SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.
Validates Australian Business Numbers (ABN) and retrieves entity details from the Australian Business Register (ABR) for compliance verification
Automates Google Slides presentation creation with storyboard-driven design. Generates professional slide decks from structured content, research findings, or narrative outlines using Google Slides API.
Send voice messages (TTS) to the user via Telegram. Use when replying to voice messages or when a voice reply feels natural.
Search the web for information using DuckDuckGo or other search engines via curl. Use when users ask questions requiring up-to-date information, research, or fact-checking.
Expert guidance for SQLModel - the Python library combining SQLAlchemy and Pydantic for database models. Use when (1) creating database models that work as both SQLAlchemy ORM and Pydantic schemas, (2) building FastAPI apps with database integration, (3) defining model relationships (one-to-many, many-to-many), (4) performing CRUD operations with type safety, (5) setting up async database sessions, (6) integrating with Alembic migrations, (7) handling model inheritance and mixins, or (8) converting between database models and API schemas.
Use when implementing CQRS pattern, separating read and write models, optimizing query performance, or asking about "CQRS", "Command Query Responsibility Segregation", "read model", "write model", "command bus", "query bus"
TasteRay API integration for personalized recommendations across verticals (movies, restaurants, products, travel, jobs). Use when you need to: (1) recommend movies, restaurants, products, travel, or jobs, (2) answer "what would I like" questions, (3) provide personalized recommendations based on preferences, (4) rank or score items for a user, (5) explain why something matches a user's taste, (6) build recommendation context from conversation, (7) integrate psychological profiles with recommendation systems.