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Found 63 Skills
Use when an agent wants to access Alchemy APIs without an API key. This is the default path when $ALCHEMY_API_KEY is not set. Covers SIWE authentication, x402 payment flows, wallet setup, and gateway endpoints.
Requires $ALCHEMY_API_KEY to be set. If no API key is available, use the agentic-gateway skill instead — it requires no API key and lets agents authenticate autonomously with a wallet. Quick-start guide and root index for integrating Alchemy APIs using an API key. Covers base URLs, authentication, endpoint selection, and common patterns across all Alchemy products.
Use when scaffolding production-ready FastAPI services with uv, SQLAlchemy, Alembic, Postgres, Docker, and CI gates.
Query OpenSea marketplace data — listings, offers, sales / events, floor prices, collection stats, drops, traits — and execute Seaport trades via the official `@opensea/cli` and OpenSea REST API across Ethereum, Base, Arbitrum, Optimism, Polygon, and more. Includes search across collections / NFTs / tokens / accounts. NOT for general NFT metadata reads (name, image, traits, ownership), token metadata, current wallet balances, transaction history, or live RPC reads — for those use `alchemy-cli` (live), `alchemy-mcp`, `alchemy-api` (app code), or `agentic-gateway` (no API key). For pure cross-chain token swaps (no marketplace context), prefer the `lifi` ecosystem skill. Requires `OPENSEA_API_KEY` (instant via API).
Build Python APIs with FastAPI, Pydantic v2, and SQLAlchemy 2.0 async. Covers project structure, JWT auth, validation, and database integration with uv package manager. Prevents 7 documented errors. Use when: creating Python APIs, implementing JWT auth, or troubleshooting 422 validation, CORS, async blocking, form data, background tasks, or OpenAPI schema errors.
Use when reviewing or writing new SQL/SQLAlchemy queries, especially in `backend/app/services/`, `backend/app/models/`, or migration files. Catches missing tenant filters, N+1 queries, async-session misuse, and missing indexes before they reach production. Trigger when the user says "review this query", "check for N+1", "is this query safe", or modifies repo-layer code.
Generate a Wren MDL project by exploring a database with available tools (SQLAlchemy, database drivers, MCP connectors, or raw SQL). Guides agents through schema discovery, type normalization, and MDL YAML generation using the wren CLI. Use when: user wants to create or set up a new MDL, onboard a new data source, or scaffold a project from an existing database.
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.
SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.
Build Python web apps with Flask using application factory pattern, Blueprints, and Flask-SQLAlchemy. Prevents 9 documented errors including stream_with_context teardown issues, async/gevent conflicts, and CSRF cache problems. Use when: creating Flask projects, organizing blueprints, or troubleshooting circular imports, context errors, registration, streaming, or authentication.
Python backend implementation patterns for FastAPI applications with SQLAlchemy 2.0, Pydantic v2, and async patterns. Use during the implementation phase when creating or modifying FastAPI endpoints, Pydantic models, SQLAlchemy models, service layers, or repository classes. Covers async session management, dependency injection via Depends(), layered error handling, and Alembic migrations. Does NOT cover testing (use pytest-patterns), deployment (use deployment-pipeline), or FastAPI framework mechanics like middleware and WebSockets (use fastapi-patterns).
Python backend development expertise for FastAPI, security patterns, database operations, Upstash integrations, and code quality. Use when: (1) Building REST APIs with FastAPI, (2) Implementing JWT/OAuth2 authentication, (3) Setting up SQLAlchemy/async databases, (4) Integrating Redis/Upstash caching, (5) Refactoring AI-generated Python code (deslopification), (6) Designing API patterns, or (7) Optimizing backend performance.