Topic · Data & Analytics
Best machine learning skills, page 3
Machine learning skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | The scheduled model sweep. An agent skill from Kiln-AI/Kiln. | Kiln-AI/ | 5.2k | — | ~3.6k | Automated safety check: Notes | Unknown | today |
| 98 | LLM and ML model deployment for inference. An agent skill from ancoleman/ai-design-components. | ancoleman/ | 526 | 1 repo | ~3.4k | Automated safety check: Pass | MIT | 10 mo ago |
| 99 | 99.Mle Workflow Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. | affaan-m/ | 275k | 1 repo | ~5.6k | Automated safety check: Pass | MIT | 3 days ago |
| 100 | Generates Python code using BigQuery DataFrames (BigFrames). | google/ | 21k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 101 | 101.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 |
| 102 | End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. | affaan-m/ | 275k | 1 repo | ~975 | Automated safety check: Pass | MIT | 3 days ago |
| 103 | 103.Ian Goodfellow 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 |
| 104 | Light 科研主线第 7 步·结果分析:不描述好坏、解释「为什么」,把每条结论绑死到 claim + 证据强度,并防 p-hacking。 | Light0305/ | 641 | 1 repo | ~5.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 105 | 105.Auto Exp Plan, execute, monitor, verify, compare, and document reproducible machine-learning experiments. | haibarazz/ | 100 | — | ~1.4k | Automated safety check: Pass | No licence | 15 days ago |
| 106 | Build a differential-ready consensus peakset from per-replicate ATAC-seq peaks using iterative overlap removal, fixed-width re-centering, and majority-rule overlap. | GPTomics/ | 1.2k | 2 repos | ~5k | Automated safety check: Pass | MIT | 1 mo ago |
| 107 | 107.Ilya Sutskever Applies the reasoning style of Ilya Sutskever (deep learning pioneer, co-founder of OpenAI and Safe Superintelligence Inc.) to problems involving AI architecture, scaling laws, alignment, and… | K-Dense-AI/ | 282 | — | ~1.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 108 | 108.Data Loading Optimize data loading pipeline to prevent GPU starvation. An agent skill from aiming-lab/AutoResearchClaw. | aiming-lab/ | 15k | — | ~210 | Automated safety check: Pass | MIT | 1 mo ago |
| 109 | 109.Gpt2 Codegolf 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 |
| 110 | Identify poisoned training data and backdoored ML models across the pipeline using IBM's Adversarial Robustness Toolbox (activation clustering, spectral signatures, trigger reconstruction), Cleanlab… | mukul975/ | 34k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 111 | Detect AI-generated deepfake audio used in voice phishing (vishing) by extracting spectral features (MFCC, spectral centroid, spectral contrast, zero-crossing rate) and classifying samples with… | mukul975/ | 34k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 112 | Detect anomalies in DNP3 communications used in SCADA/ICS systems by monitoring unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic… | mukul975/ | 34k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 113 | 113.Vision Sft Fine-tune vision-language models (VLMs) with supervised learning on image+text data. | wshobson/ | 40k | — | ~2k | Automated safety check: Pass | MIT | 3 days ago |
| 114 | 114.Coreml Integrate Core ML models in iOS apps for on-device machine learning inference. | dpearson2699/ | 1.2k | — | ~4.1k | Automated safety check: Pass | Unknown | 2 mo ago |
| 115 | 115.Vision Framework Implement computer vision features including text recognition (OCR), face detection, barcode scanning, image segmentation, object tracking, and document scanning in iOS apps. | dpearson2699/ | 1.2k | — | ~4.7k | Automated safety check: Pass | Unknown | 2 mo ago |
| 116 | 116.Icml Reviewer Paper reviewer that evaluates machine learning research projects following official ICML reviewer guidelines. | sundial-org/ | 152 | — | ~2.4k | Automated safety check: Pass | No licence | 2 mo ago |
| 117 | Design and audit BCI and EEG machine-learning data structures. | Drchronx/ | 135 | — | ~429 | Automated safety check: Pass | Unknown | 4 mo ago |
| 118 | Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. | sickn33/ | 47k | 1 repo | ~2.3k | Automated safety check: Pass | MIT | today |
| 119 | Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 120 | 120.Hig Technologies Apple HIG guidance for Apple technology integrations: Siri, Apple Pay, HealthKit, HomeKit, ARKit, machine learning, generative AI, iCloud, Sign in with Apple, SharePlay, CarPlay, Game Center, in-app… | raintree-technology/ | 143 | 1 repo | ~1.9k | Automated safety check: Pass | MIT | 27 days ago |
| 121 | 121.Transformers Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. | ynulihao/ | 617 | — | ~2.9k | Automated safety check: Pass | No licence | 7 mo ago |
| 122 | Develops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. | secondsky/ | 462 | — | ~3.2k | Automated safety check: Pass | GPL-3.0 | 2 days ago |
| 123 | 123.Sap Hana ML SAP HANA Machine Learning Python Client (hana-ml) development skill. | secondsky/ | 462 | — | ~1.7k | Automated safety check: Pass | GPL-3.0 | 2 days ago |
| 124 | Meta Quest Passthrough Camera Access (PCA) for Unity — access the forward-facing RGB cameras on Quest 3 / Quest 3S to feed Computer Vision and Machine Learning pipelines. | meta-quest/ | 213 | 1 repo | ~1.6k | Automated safety check: Pass | Apache-2.0 | 13 days ago |
| 125 | 125.Discover ML Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models. | rand/ | 181 | 1 repo | ~574 | Automated safety check: Pass | MIT | 7 mo ago |
| 126 | Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). | google/ | 21k | — | ~9.5k | Automated safety check: Pass | Apache-2.0 | today |
| 127 | 127.Mlp Umbrella routing for machine-learning interatomic potential workflows. | JCLiuGroup/ | 145 | 1 repo | ~514 | Automated safety check: Pass | Unknown | 10 days ago |
| 128 | Analyze sentiment in text using ML models. An agent skill from guia-matthieu/clawfu-skills. | guia-matthieu/ | 150 | — | ~923 | Automated safety check: Pass | MIT | 6 days ago |
| 129 | Port a published computer vision paper's official code and training recipe onto a customer's own dataset, or diagnose why such a transfer produced bad numbers. | NVIDIA/ | 3.5k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | today |
| 130 | Manages Agent Platform serving endpoints. An agent skill from google/skills. | google/ | 21k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 131 | 131.Jeff Dean Applies the engineering and research philosophies of Jeff Dean, Chief Scientist at Google DeepMind and Google Research. | K-Dense-AI/ | 282 | — | ~2k | Automated safety check: Pass | MIT | 1 mo ago |
| 132 | Feature construction from market data for ML trading models including price, volume, on-chain, and microstructure features | agiprolabs/ | 410 | — | ~2.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 133 | ML trading signal classifiers using XGBoost and LightGBM with walk-forward validation, SHAP feature importance, and threshold optimization | agiprolabs/ | 410 | — | ~2.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 134 | Walk-forward validation framework for trading strategies and ML models with time-series-aware splits, overfit detection, and regime-aware validation | agiprolabs/ | 410 | — | ~2.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 135 | 135.ML Machine learning and LLM engineering judgment, distilled from a stronger model - invoke when DECIDING whether/how to use ML or an LLM for a task (prompt vs RAG vs fine-tune vs classical); working… | telagod/ | 243 | 1 repo | ~566 | Automated safety check: Pass | MIT | 2 mo ago |
| 136 | Load and preprocess imaging mass cytometry (IMC) and MIBI data. | FreedomIntelligence/ | 3.1k | 1 repo | ~2k | Automated safety check: Pass | No licence | 2 mo ago |
| 137 | Predict protein structures using modern ML models including AlphaFold3, ESMFold, Chai-1, and Boltz-1. | FreedomIntelligence/ | 3.1k | 1 repo | ~2.5k | Automated safety check: Pass | No licence | 2 mo ago |
| 138 | Enforces structured, highly documented storage for code and data projects. | foryourhealth111-pixel/ | 3.6k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 139 | 139.Transformers JS Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. | sickn33/ | 47k | 1 repo | ~444 | Automated safety check: Pass | Apache-2.0 | today |
| 140 | Design and implement a complete ML pipeline for: $ARGUMENTS. An agent skill from aiskillstore/marketplace. | aiskillstore/ | 430 | 8 repos | ~2.6k | Automated safety check: Pass | No licence | today |
| 141 | Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying… | mukul975/ | 34k | — | ~7.5k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 142 | Enhancement overlay — version the WHOLE deployable LLM-app artifact as one bundle: prompts + compiled programs + model snapshot pins + retrieval config + eval-set version, versioned together so a… | agentsope/ | 459 | — | ~7.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 143 | Map N6-methyladenosine (m6A) RNA modifications at single-nucleotide resolution using miCLIP (Linder 2015), miCLIP2 + m6Aboost machine learning (Kortel 2021), GLORI (Liu 2023, antibody-free chemical… | GPTomics/ | 1.2k | 2 repos | ~5.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 144 | Builds QSAR / QSPR models using chemprop D-MPNN, MolFormer, Uni-Mol, ChemBERTa, random forest baselines, and Gaussian processes with explicit handling of OECD 5 principles, applicability domain… | GPTomics/ | 1.2k | 2 repos | ~5.5k | Automated safety check: Pass | MIT | 1 mo ago |