NumPy agent skills, page 2

Builds event-driven analysis for A-share companies: merger arbitrage spreads, shareholder buying and selling signals, equity incentives, placements and ST or delisting warnings; Chinese text.

HKUDS/Vibe-Trading

Scores news, announcements and macro events with the LLM, stores them in an event CSV and blends the decaying event signal with technical signals in signal_engine.py.

HKUDS/Vibe-Trading

Evaluates mutual funds, private funds and ETFs by return, risk and risk-adjusted metrics, style box and drift, and manager quality, then builds FOF portfolios; Chinese text.

HKUDS/Vibe-Trading

Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas.

HKUDS/Vibe-Trading

Trains scikit-learn models with walk-forward validation on features from OHLCV data to predict return direction and turn the predictions into trading signals.

HKUDS/Vibe-Trading

Ranks stocks by standardized factor scores (momentum, reversal, volatility, volume and valuation) and builds an equal-weight TopN portfolio with periodic rebalancing.

HKUDS/Vibe-Trading

Trades mean reversion between two correlated instruments using the Z-score of their price ratio, going long one leg and short the other when the ratio stretches.

HKUDS/Vibe-Trading

Guides your agent through unit-root, cointegration, GARCH, bootstrap and regression-diagnostic tests on financial time series, using a tested helper module.

HKUDS/Vibe-Trading

Reference of market rules for quant strategies: A-share price limits and T+1, Hong Kong and US trading rules, crypto policy and cross-border tax basics.

HKUDS/Vibe-Trading

Generates long, short or flat trading signals from calendar patterns such as month-of-year and day-of-week effects, for any OHLCV price data.

HKUDS/Vibe-Trading

Builds a composite trading signal from three groups of classic indicators (trend, mean reversion, volume) voting long, short or flat, in plain pandas for OHLCV data.

HKUDS/Vibe-Trading

Mean-reversion signal engine that ranks historical volatility against its own recent history, going long in quiet regimes and exiting or shorting when volatility is high.

HKUDS/Vibe-Trading

Reads, inspects, and writes Flow Cytometry Standard (FCS) 2.0, 3.0, and 3.1 files with FlowIO.

K-Dense-AI/scientific-agent-skills

Performs RNA velocity analysis with scVelo from spliced and unspliced single-cell RNA counts.

K-Dense-AI/scientific-agent-skills

World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics.

alirezarezvani/claude-skills

Builds the code for a frozen research experiment test-first, with leakage controls, seed handling and saved evidence so results can be rerun and audited.

Light0305/Light-skills

Computes RDKit physicochemical descriptors and molecular fingerprints from SMILES through a uv-run CLI script that skips and logs invalid molecules.

jinzhezenggroup/computational-chemistry-agent-skills

Finds co-moving assets and tests them for cointegration, with workflows for correlation studies, sector clustering, hedge ratios and pair-trading signals.

HKUDS/Vibe-Trading

Checking and provisioning the machine's environment for the video-agent-kit plugin — probing for ffmpeg/ffprobe that actually carry the encoders and filters we render with (libx264/aac/libmp3lame…

wwwzhouhui/skills_collection

How to build C/C++/Cython/Fortran extensions and frameworks like Caffe, OpenCV, protobuf-dependent projects from source.

A-EVO-Lab/a-evolve

TRIGGER when user asks to create a microservice that calls Python, runs ML inference, or uses Python libraries (PyTorch, pandas, sentence-transformers, numpy) for its core compute.

microbus-io/fabric

Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask.

K-Dense-AI/scientific-agent-skills

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster.

K-Dense-AI/scientific-agent-skills

Performs exact symbolic mathematics with SymPy for algebra, calculus, equation solving, symbolic linear algebra, physics, and lambdify or LaTeX code generation.

K-Dense-AI/scientific-agent-skills

Stores and queries chunked N-D scientific arrays with Zarr-Python 3, including codecs, sharding, S3/GCS storage, and NumPy/Dask/Xarray integration.

K-Dense-AI/scientific-agent-skills

Write code that calls the installed nvMolKit Python API for GPU-accelerated, batched RDKit-style operations - Morgan fingerprints, Tanimoto/cosine similarity, ETKDG conformer embedding, MMFF/UFF…

NVIDIA-BioNeMo/bionemo-agent-toolkit

Write and organize tests for scientific Python packages using pytest.

Yikai-Liao/symusic

Phase 0 of LLM deployment — produce <modelweights.py (HF weight loader) and <modelcpuhelpers.py (the few NumPy helpers production prefill/decode import), then confirm the HF bf16 reference baseline…

Xilinx/mlir-air

Review an AlbumentationsX transform for correctness, public API coherence, performance, documentation, and test coverage.

albumentations-team/AlbumentationsX

Analyze CSV/JSON data with statistics, filtering, and aggregation.

EXboys/skilllite

Write, review, and run high-level xTBloom Python GFN2-xTB inference with Calculator, Structure, and BatchCalculator, including single systems, repeated geometry updates, heterogeneous ragged…

jinzhezenggroup/computational-chemistry-agent-skills

A skill your agent uses when working with Dask Array: chunked NumPy-like arrays, dask.array.fromarray, chunk planning, slicing, mapblocks, blockwise, reductions, overlap, rechunking, generalized…

VectorSpaceLab/AREX-Skill

Production-ready genomics and epigenomics data processing for BixBench questions.

wu-yc/LabClaw

C-optimized technical analysis with 150+ functions and 61 candlestick pattern recognition functions via TA-Lib

agiprolabs/claude-trading-skills

High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics

agiprolabs/claude-trading-skills

Transform, clean, reshape, and preprocess data using pandas and numpy.

Microck/ordinary-claude-skills

Parse and analyze multiple sequence alignments using Biopython.

majiayu000/claude-skill-registry

Reads, queries, and writes bigWig indexed binary signal tracks (coverage, fold-change, conservation, methylation-rate) with pyBigWig (Python) and the UCSC Kent tools (bedGraphToBigWig…

GPTomics/bioSkills

Selects biomarker features from high-dimensional omics data using Boruta all-relevant selection, mRMR, LASSO/elastic-net, and stability selection, while controlling the leakage, irreproducibility…

GPTomics/bioSkills

Optimize Python code for reduced memory usage and improved memory efficiency.

benchflow-ai/skillsbench

Symbolic math in Python: exact algebra, calculus (derivatives, integrals, limits), equation solving, symbolic matrices, ODEs, code gen (lambdify, C/Fortran).

jaechang-hits/SciAgent-Skills

Data structure for annotated matrices in single-cell analysis; use when reading/writing .h5ad (or zarr) and exchanging data with the scverse ecosystem.

aipoch/medical-research-skills

Parse/write FCS (Flow Cytometry) files v2.0-3.1. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

Pure Python DICOM for medical imaging (CT, MRI, X-ray, ultrasound).

jaechang-hits/SciAgent-Skills

Python image processing for microscopy and bioimage analysis.

jaechang-hits/SciAgent-Skills

Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines.

jaechang-hits/SciAgent-Skills

A skill your agent uses when building ML/AI apps in Rust. An agent skill from majiayu000/claude-skill-registry.

majiayu000/claude-skill-registry

Parse Flow Cytometry Standard (FCS) files v2.0–3.1 and extract events/metadata for preprocessing workflows (e.g., when you need NumPy arrays, channel info, or CSV/DataFrame export from cytometry…

aipoch/medical-research-skills