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Found 36 Skills
Guide for Using RQData Data API. Used when you need to query RQData data interfaces and obtain financial data. Supports data queries for markets such as A-shares, Hong Kong stocks, futures, options, indices, funds, and convertible bonds, including HTTP API and Python API documentation.
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.
Skill for creating and editing 3D models using software like Blender for AR/VR applications.
Solve Linear Programming (LP), Mixed-Integer Linear Programming (MILP), and Quadratic Programming (QP, beta) with the Python API. Use when the user asks about optimization with linear or quadratic objectives, linear constraints, integer variables, scheduling, resource allocation, facility location, production planning, portfolio optimization, or least squares.
Install cuOpt for Python, C, or as a server (pip, conda, Docker) — system requirements, install commands, and verification. Use when the user wants to install or verify cuOpt for any user-facing interface. For building cuOpt from source or contributing to cuOpt, see cuopt-developer.
Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.
Text-to-Speech using Doubao (Volcano Engine) API. Use when converting text to natural-sounding speech, generating audio files from text, listing available TTS voices, or synthesizing speech with customizable speed/volume parameters.
Configure notification channels and settings for account alerts and events. This skill provides Python SDK examples.
Spatial data gridding and interpolation with a machine-learning style API. Process geographic and Cartesian point data onto regular grids. Use when Claude needs to: (1) Grid scattered spatial data onto regular grids, (2) Interpolate point data using splines, linear, or cubic methods, (3) Process geographic coordinates with projections, (4) Reduce large datasets using block averaging, (5) Remove polynomial trends from spatial data, (6) Cross-validate gridding parameters, (7) Create processing pipelines with Chain, (8) Grid vector data like GPS velocities.
Stateful LLDB debugging via LLDB Python API
Design production-grade REST, GraphQL, gRPC, and Python library APIs with correct schemas, error contracts, auth, and versioning. Use when the user asks to design an API, define endpoints, create an OpenAPI/Swagger spec, design a GraphQL schema, build a gRPC service, model request/response with Pydantic, add pagination, or review API contracts. NOT for building MCP server tools (use mcp-server). NOT for Node.js/Express API routes or backend patterns (use backend-patterns or typescript-development).
Access atmospheric properties and aerospace fluid data from NASA Earthdata