Browse Skills

Twitter Reader reads Twitter/X feeds, searches tweets, and gathers market sentiment for financial research using opencli in a read-only manner. Use it to monitor financial news, track analyst tweets, or research market discussions.

YC Reader looks up Y Combinator companies, batches, and startup ecosystem data using the yc-oss API (read-only). Use it to research YC-backed startups, find companies by batch or industry, check hiring status, and analyze trends.

YFinance Data fetches financial and market data from Yahoo Finance using the yfinance Python library. Use it when the user asks for stock prices, historical data, financial statements, options chains, dividends, earnings, or analyst recommendations.

CTF Forensics provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, network captures, steganography, and more.

cuDF GPU DataFrames accelerates pandas data processing on NVIDIA GPUs for ETL, joins, groupby, and CSV/Parquet I/O. Use it to migrate pandas workloads to GPU or scale to multi-GPU with dask-cuDF.

CuOpt Numerical Optimization API models and solves linear programming (LP), mixed-integer linear programming (MILP), and quadratic programming (QP) problems using NVIDIA cuOpt's GPU-accelerated solver. Use it when the user needs to solve optimization problems with any cuOpt interface (Python, C, CLI).

cuOpt Routing Python API solves vehicle routing problems (TSP, VRP, PDP) with NVIDIA cuOpt from Python. Use it when building or solving routing models in Python.

cuPyNumeric HDF5 I/O reads and writes large cuPyNumeric arrays to HDF5 files using Legate's parallel, distributed HDF5 I/O. Use it when a developer needs to save or load .h5/.hdf5 datasets, read large files in chunks, or accelerate HDF5 disk I/O with GPUDirect Storage.

CuPyNumeric Parallel Data Load loads sharded, on-disk datasets (.npy, Parquet/Arrow, raw binary, HDF5) into a distributed cuPyNumeric ndarray using manual partition and leaf task launch for CPU, OMP, and GPU variants. Use it when no single-call loader fits, including when per-shard row counts differ across files.

DALI Dynamic Mode guides AI agents in writing, reviewing, and migrating code that uses NVIDIA DALI's imperative dynamic-mode API (`nvidia.dali.experimental.dynamic`, ndd). Use it when working on ndd code or migrating pipeline-based DALI code to dynamic mode.

Data Designer builds synthetic datasets and data generation pipelines using the Data Designer library. Use it when you need to generate structured data, create datasets, or build a data generation pipeline.

Numerical Optimization Formulation teaches how to parse problem statements and build LP, MILP, and QP models, covering decision variables, constraints, objectives, and convexity. It is used when an agent needs to formulate optimization problems from natural language without writing API code.