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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Applies the reasoning style of Daphne Koller (machine learning pioneer, co-founder of Coursera, founder and CEO of Insitro). | K-Dense-AI/ | 282 | — | ~1.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 50 | Diagnoses failing ML and AI work, such as OOM, NaN, divergence, crashes, slow throughput, wrong outputs and dependency conflicts, with every claim backed by documentation citations. | Leeroo-AI/ | 195 | — | ~9.5k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 51 | Design Django ORM models for Sentry following architectural conventions for silos, replication, relocation, and foreign keys. | getsentry/ | 46k | — | ~2.6k | Automated safety check: Pass | Unknown | today |
| 52 | 52.Modal Run Python code in the cloud with serverless containers, GPUs, and autoscaling. | davila7/ | 32k | 7 repos | ~2.6k | Automated safety check: Pass | MIT | today |
| 53 | 53.Flowio Parse FCS (Flow Cytometry Standard) files v2.0-3.1. An agent skill from davila7/claude-code-templates. | davila7/ | 32k | 10 repos | ~4.2k | Automated safety check: Pass | MIT | today |
| 54 | 54.Edit how to use the edit command properly | omegaml/ | 107 | — | ~206 | Automated safety check: Pass | Apache-2.0 | today |
| 55 | 55.Molfeat Molecular featurization for ML (100+ featurizers). An agent skill from davila7/claude-code-templates. | davila7/ | 32k | 9 repos | ~3.7k | Automated safety check: Pass | MIT | today |
| 56 | summarize machine learning experiment logs in chinese when the input includes training logs, eval results, hyperparameter changes, user notes, or multiple runs and the user needs a grounded… | chtc66/ | 360 | — | ~281 | Automated safety check: Pass | MIT | 6 mo ago |
| 57 | Turns build, implement or design requests for ML pipelines into validated implementation plans grounded in a knowledge base or fetched framework documentation. | Leeroo-AI/ | 195 | — | ~11k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 58 | Runs pre-trained Hugging Face models in JavaScript or TypeScript with Transformers.js, in browsers or Node.js, Bun and Deno, for text, vision, audio and multimodal tasks. | huggingface/ | 11k | 1 repo | ~6.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 59 | Think and work like an expert Biogeographer. An agent skill from K-Dense-AI/scientific-agents. | K-Dense-AI/ | 200 | — | ~4.8k | Automated safety check: Pass | MIT | 7 days ago |
| 60 | 60.ML Engineer Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. | davila7/ | 32k | 9 repos | ~2.3k | Automated safety check: Pass | MIT | today |
| 61 | 61.Lammps Prepare, run, and validate LAMMPS molecular dynamics. An agent skill from JCLiuGroup/AI-Computational-Chemist. | JCLiuGroup/ | 146 | 1 repo | ~539 | Automated safety check: Pass | Unknown | 12 days ago |
| 62 | Deep expertise in ML/CV model selection, training pipelines, and inference architecture. | alirezarezvani/ | 117 | — | ~3.1k | Automated safety check: Pass | MIT | 9 mo ago |
| 63 | Fit, summarize, plot, and interpret a chosen CausalPy experiment. | pymc-labs/ | 1.2k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 64 | Expert data scientist for advanced analytics, machine learning, and statistical modeling. | davila7/ | 32k | 8 repos | ~2.6k | Automated safety check: Pass | MIT | today |
| 65 | Run the ADR-151 per-room calibration pipeline — baseline → enroll → extract → train → a bank of small specialists… | ruvnet/ | 97k | — | ~320 | Automated safety check: Pass | MIT | today |
| 66 | Quantitative strategy frameworks: pairs trading/cointegration, volatility regime strategies, seasonality/calendar effects, multi-factor models (IC/IR), factor research and screening, correlation… | helsome/ | 270 | 1 repo | ~1.6k | Automated safety check: Pass | MIT | 6 days ago |
| 67 | 67.Icml ICML (International Conference on Machine Learning) paper formatting — activate when the user wants to submit to ICML, follow ICML template, or fix ICML format issues. | nanoAgentTeam/ | 293 | — | ~2.4k | Automated safety check: Pass | MIT | 4 mo ago |
| 68 | Designs ML pipeline infrastructure: experiment tracking with MLflow or Weights & Biases, Kubeflow and Airflow orchestration, Feast feature stores and model validation gates. | Jeffallan/ | 12k | — | ~1.9k | Automated safety check: Pass | MIT | 6 days ago |
| 69 | Build and train variational quantum algorithms (VQE, QAOA, QML, QNN) with MindQuantum. | mindspore-ai/ | 101 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | 18 days ago |
| 70 | World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. | davila7/ | 32k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | today |
| 71 | Shows how to log ML runs, configs, metrics and media with SwanLab and view them in cloud, local or self-hosted dashboards. | Orchestra-Research/ | 13k | — | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 72 | 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/ | 35k | — | ~3.2k | Automated safety check: Pass | MIT | yesterday |
| 73 | 73.Alphagenome Looks up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and quantile scores for RNA-seq, DNase, ATAC… | K-Dense-AI/ | 48k | 1 repo | ~4.4k | Automated safety check: Notes | MIT | 4 days ago |
| 74 | 74.Shap Explain and audit machine-learning predictions with SHAP. An agent skill from K-Dense-AI/scientific-agent-skills. | K-Dense-AI/ | 48k | 1 repo | ~4.1k | Automated safety check: Notes | MIT | 4 days ago |
| 75 | Turn a plain-English description ("a node that runs on the kernel and does XGBoost predictions", "a node that trims whitespace", "an ML clustering node") into a correct single-file Flowfile custom… | Edwardvaneechoud/ | 375 | — | ~8.6k | Automated safety check: Pass | MIT | today |
| 76 | Generate an Abaqus FEA training dataset for surrogate / ML models. | theneoai/ | 185 | — | ~2.9k | Automated safety check: Notes | Unknown | 4 mo ago |
| 77 | 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/ | 640 | — | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 78 | Model interpretability via SHAP (Shapley values from game theory). | jaechang-hits/ | 371 | 1 repo | ~3.7k | Automated safety check: Pass | MIT | 10 days ago |
| 79 | 79.Unimol A standardized CLI wrapper for Uni-Mol molecular ML workflows that handles representation extraction (embeddings), model training (regression/classification), and property prediction with built-in… | jinzhezenggroup/ | 148 | — | ~1.5k | Automated safety check: Pass | LGPL-3.0-or-later | today |
| 80 | 80.Pyhealth Builds and validates PyHealth clinical machine-learning pipelines for EHR, signals, imaging, and medical codes. | K-Dense-AI/ | 48k | 1 repo | ~2.1k | Automated safety check: Pass | MIT | 4 days ago |
| 81 | Research computing toolkit for optoelectronic information science and engineering, MATLAB/Octave, Python scientific analysis, signal processing, image processing, statistics, simulation… | zLanqing/ | 4.7k | — | ~1.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 82 | 82.Modal Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. | K-Dense-AI/ | 48k | 1 repo | ~4.5k | Automated safety check: Notes | Apache-2.0 | 4 days ago |
| 83 | GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. | K-Dense-AI/ | 48k | 1 repo | ~3.4k | Automated safety check: Pass | MIT | 4 days ago |
| 84 | 84.Scikit Learn Supports machine learning in Python with scikit-learn. An agent skill from K-Dense-AI/scientific-agent-skills. | K-Dense-AI/ | 48k | 1 repo | ~3.3k | Automated safety check: Notes | BSD-3-Clause | 4 days ago |
| 85 | A skill your agent uses when the contestant wants to submit a model evaluation job to the Simulation Challenge — POST /api/challenge/job. | AgibotTech/ | 1.4k | — | ~2.6k | Automated safety check: Pass | Unknown | 1 mo ago |
| 86 | OCI Data Science service patterns including Jobs, Pipelines, Model Catalog, authentication, and the ADS SDK beyond AQUA. | oracle/ | 125 | — | ~2.1k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 87 | World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. | alirezarezvani/ | 28k | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 88 | The scheduled model sweep. An agent skill from Kiln-AI/Kiln. | Kiln-AI/ | 5.2k | — | ~3.6k | Automated safety check: Notes | Unknown | yesterday |
| 89 | Guidance for implementing neural network inference (like GPT-2) under extreme code size constraints. | lazyFrogLOL/ | 128 | — | ~1.8k | Automated safety check: Pass | No licence | 4 mo ago |
| 90 | Agent skill for data-ml-model - invoke with $agent-data-ml-model | ruvnet/ | 74k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | today |
| 91 | Automated pipeline for retraining ML models with new construction data. | datadrivenconstruction/ | 345 | — | ~4.6k | Automated safety check: Pass | MIT | 1 mo ago |
| 92 | 92.Mle Workflow Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. | affaan-m/ | 276k | 1 repo | ~5.6k | Automated safety check: Pass | MIT | 4 days ago |
| 93 | 93.Data Science Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and analytics strategy. | travisjneuman/ | 101 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 94 | 94.ML Engineer Machine learning engineer expert for PyTorch, scikit-learn, model evaluation, and MLOps | RightNow-AI/ | 18k | — | ~987 | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 95 | End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. | affaan-m/ | 276k | 1 repo | ~975 | Automated safety check: Pass | MIT | 4 days ago |
| 96 | A skill your agent uses when reasoning about generative AI, adversarial machine learning, neural network security, algorithmic fairness, or deep learning fundamentals. | K-Dense-AI/ | 282 | — | ~1.7k | Automated safety check: Pass | MIT | 1 mo ago |