Topic · Data & Analytics
Best machine learning skills, page 5
Machine learning skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 193 | ⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data… | foryourhealth111-pixel/ | 3.6k | — | ~5k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 194 | Parallel multi-AI cross-validation research workflow (大版本). An agent skill from majiayu000/spellbook. | majiayu000/ | 286 | — | ~2k | Automated safety check: Pass | MIT | today |
| 195 | 195.Deepmd Router Route DeePMD-kit requests to training or inference sub-skills. | Hello-QM/ | 205 | 1 repo | ~377 | Automated safety check: Pass | AGPL-3.0 | 15 days ago |
| 196 | Quality control, filtering, normalization, and feature selection for spatial transcriptomics data. | majiayu000/ | 666 | 2 repos | ~1.3k | Automated safety check: Pass | MIT | today |
| 197 | Model interpretability via SHAP (Shapley values from game theory). | majiayu000/ | 666 | 2 repos | ~3.7k | Automated safety check: Pass | MIT | today |
| 198 | 198.Molfeat Molecular ML featurization library (100+ featurizers: ECFP, descriptors, ChemBERTa). | lamm-mit/ | 244 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 199 | This skill should be used when designing, running, validating, or auditing statistical experiments on personal or observational time-series data (health metrics, speech/text corpora, behavioral… | glebis/ | 389 | — | ~1.7k | Automated safety check: Pass | MIT | 11 days ago |
| 200 | Operates the QIIME2 framework as the glue for an amplicon analysis - the .qza/.qzv artifact model, semantic types (FeatureTable[Frequency], SampleData[PairedEndSequencesWithQuality]… | GPTomics/ | 1.2k | 1 repo | ~5.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 201 | Assigns taxonomy to amplicon ASVs/OTUs (16S, ITS, 18S) with a classifier conditioned on a reference database and primer region - DADA2 assignTaxonomy + addSpecies (RDP naive Bayes), DECIPHER IDTAXA… | GPTomics/ | 1.2k | 1 repo | ~6.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 202 | Chooses a bulk multi-omics integration strategy before any tool runs by mapping the biological question (subtype discovery, shared axis of variation, predictive signature, pairwise correlation) to a… | GPTomics/ | 1.2k | 1 repo | ~5.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 203 | Manually verify that the Quark Agent Skills system behaves correctly across the four contract categories (routing, planning, artifact, recovery). | amd/ | 181 | — | ~1.7k | Automated safety check: Pass | MIT | 10 days ago |
| 204 | Sub-skill técnica de Yann LeCun. An agent skill from majiayu000/claude-skill-registry. | majiayu000/ | 666 | 3 repos | ~4k | Automated safety check: Pass | MIT | today |
| 205 | Explain trained machine learning models through feature attribution, local explanations, and behavior summaries. | foryourhealth111-pixel/ | 3.6k | — | ~383 | Automated safety check: Pass | MIT | 1 mo ago |
| 206 | Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data. | foryourhealth111-pixel/ | 3.6k | — | ~374 | Automated safety check: Pass | MIT | 1 mo ago |
| 207 | A skill your agent uses when the user asks to reproduce the Kreitz 2021 Ni surface benchmark, run the MACE Ni benchmark, or compare a machine-learning potential (MACE, CHGNet, M3GNet) against DFT-D3… | Hello-QM/ | 205 | — | ~1.3k | Automated safety check: Pass | AGPL-3.0 | 15 days ago |
| 208 | 208.Machine Learning Machine learning development patterns, model training, evaluation, and deployment. | aiskillstore/ | 430 | 1 repo | ~1.6k | Automated safety check: Pass | No licence | today |
| 209 | Generates complete dual-disease transcriptomic + machine learning research designs from a user-provided disease pair. | aipoch/ | 2k | — | ~3.7k | Automated safety check: Pass | MIT | 21 days ago |
| 210 | 210.Dataset Finder A skill your agent uses when users need to search for datasets, download data files, or explore data repositories. | LeoYeAI/ | 2.2k | — | ~5.4k | Automated safety check: Pass | Proprietary | 2 mo ago |
| 211 | 211.Plot ML Figure Pick how to write a figure before custom plot code. An agent skill from probabl-ai/skills. | probabl-ai/ | 137 | — | ~785 | Automated safety check: Pass | BSD-3-Clause | today |
| 212 | Literature and web research for an ML methodology concern (EDA extra measurements, leakage, transforms, feature engineering, learner family), or an EDA extra-analysis survey from JOURNAL plus… | probabl-ai/ | 137 | — | ~1.1k | Automated safety check: Pass | BSD-3-Clause | today |
| 213 | GRN inference from expression via GRNBoost2 (gradient boosting) or GENIE3 (Random Forest). | jaechang-hits/ | 370 | 2 repos | ~5.3k | Automated safety check: Pass | BSD-3-Clause | 9 days ago |
| 214 | 214.Analyze Confirmatory hypothesis testing matched to pre-registration, with full assumption testing, effect sizes, confidence intervals, and APA 7th formatted output. | brycewang-stanford/ | 4.5k | — | ~1.6k | Automated safety check: Pass | Unknown | 2 days ago |
| 215 | 215.Data Clean Produce documented data cleaning scripts that log every transformation with N before/after each step, generate a CONSORT-style exclusion flow diagram, create decision log entries for every… | brycewang-stanford/ | 4.5k | — | ~1.1k | Automated safety check: Pass | Unknown | 2 days ago |
| 216 | 216.Scikit Learn Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines. | brycewang-stanford/ | 4.5k | — | ~4.6k | Automated safety check: Pass | Unknown | 2 days ago |
| 217 | 217.Data Scientist Data science across machine learning, statistical modeling, and experimentation. | borghei/ | 881 | — | ~3.3k | Automated safety check: Pass | MIT | today |
| 218 | Calculates molecular descriptors and fingerprints using RDKit. | FreedomIntelligence/ | 3.1k | — | ~1.6k | Automated safety check: Pass | No licence | 2 mo ago |
| 219 | 219.Quant Validation The methods a financial-ML result has to survive before it is evidence — purged cross-validation with an embargo, triple-barrier labelling, sample uniqueness under overlapping labels, fractional… | avelikiy/ | 103 | 1 repo | ~1.9k | Automated safety check: Pass | MIT | today |
| 220 | Define custom distance/similarity metrics for clustering and ML algorithms. | benchflow-ai/ | 1.8k | — | ~674 | Automated safety check: Pass | Apache-2.0 | 2 mo ago |
| 221 | 221.Automl Skill AutoML 自动化机器学习技能 | Automated Machine Learning Skill. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~3.6k | Automated safety check: Pass | MIT | 2 mo ago |
| 222 | Plan reproducible machine-learning experiments with leakage-safe random, grouped, or chronological splits; deterministic configuration fingerprints; dataset checksums; seeds, baselines, ablations… | PKU-YuanGroup/ | 617 | — | ~634 | Automated safety check: Pass | MIT | 3 days ago |
| 223 | Reduce Together AI spend using measured token usage, live per-model prices, cached-input evidence, batch discounts, model evaluation, and dedicated break-even analysis. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | today |
| 224 | Fine-tune Fairchem machine learning interatomic potentials (UMA, ESEN) on custom datasets. | learningmatter-mit/ | 176 | — | ~1.7k | Automated safety check: Pass | MIT | today |
| 225 | 225.ML Mace Finetune Fine-tune MACE machine learning interatomic potentials on custom datasets. | learningmatter-mit/ | 176 | — | ~2.6k | Automated safety check: Pass | MIT | today |
| 226 | Fine-tune MatGL machine learning interatomic potentials on custom datasets. | learningmatter-mit/ | 176 | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 227 | 227.ML Mlip Speed Benchmark of inference speed of Machine Learning Interatomic Potentials (MLIPs). | learningmatter-mit/ | 176 | — | ~1k | Automated safety check: Pass | MIT | today |
| 228 | Train a property predictor head on top of a Machine Learning Interatomic Potential (MLIP) backbone (MACE or MatGL) to predict custom intensive or extensive properties from crystal or molecular… | learningmatter-mit/ | 176 | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 229 | Add and manage evaluation results in Hugging Face model cards. | majiayu000/ | 666 | 3 repos | ~5.6k | Automated safety check: Notes | MIT | today |
| 230 | 230.Experiment Lab A skill your agent uses whenever the user wants reproducible CS/AI experiments, model evaluation, regression/classification/clustering analyses, bioinformatics workflows, QC, differential… | Citrus-bit/ | 120 | — | ~2.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 231 | A skill your agent uses when the user asks to "design an experiment", "build a predictive model", "run A/B test analysis", "perform causal inference", "engineer features", "evaluate model… | borghei/ | 881 | — | ~1.7k | Automated safety check: Pass | MIT | today |
| 232 | Interpret and explain a trained tabular machine-learning model (classification or regression) in MATLAB. | matlab/ | 1.1k | — | ~8.1k | Automated safety check: Pass | Unknown | today |
| 233 | Per-feature NaN-safe Spearman/Pearson correlation across many features (genes, proteins, variants) with missing values. | jaechang-hits/ | 370 | 1 repo | ~2.9k | Automated safety check: Pass | CC-BY-4.0 | 9 days ago |
| 234 | Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines. | jaechang-hits/ | 370 | 1 repo | ~4k | Automated safety check: Pass | BSD-3-Clause | 9 days ago |
| 235 | Apply machine learning for construction project risk assessment. | datadrivenconstruction/ | 344 | 1 repo | ~4.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 236 | Azure VM/VMSS router. An agent skill from microsoft/GitHub-Copilot-for-Azure. | microsoft/ | 255 | — | ~657 | Automated safety check: Pass | MIT | today |
| 237 | Plan evaluation strategies for machine-learning product changes. | hashgraph-online/ | 1.2k | — | ~801 | Automated safety check: Pass | MIT | today |
| 238 | Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and… | aws/ | 2.8k | — | ~427 | Automated safety check: Pass | Apache-2.0 | today |
| 239 | 239.AI Operations Configure Harness AI-powered operations (AIDA) via MCP. An agent skill from majiayu000/claude-skill-registry. | majiayu000/ | 666 | 1 repo | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 240 | Builds classification models for omics data using RandomForest, XGBoost, and logistic regression with sklearn-compatible APIs. | majiayu000/ | 666 | 1 repo | ~923 | Automated safety check: Pass | MIT | today |