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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 193 | 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/ | 215 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 16 days ago |
| 194 | 194.Modal GPU Run Python code on cloud GPUs using Modal serverless platform. | benchflow-ai/ | 1.8k | — | ~657 | Automated safety check: Pass | Apache-2.0 | 2 mo ago |
| 195 | Analyze sentiment in text using ML models. An agent skill from guia-matthieu/clawfu-skills. | guia-matthieu/ | 150 | — | ~923 | Automated safety check: Pass | MIT | 10 days ago |
| 196 | 196.AI ML AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features. | aiskillstore/ | 433 | 3 repos | ~1.5k | Automated safety check: Pass | No licence | yesterday |
| 197 | 197.Molfeat Molecular ML featurization library (100+ featurizers: ECFP, descriptors, ChemBERTa). | lamm-mit/ | 246 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 198 | ⚠️ 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 |
| 199 | Detects and prevents data leakage in machine learning and mathematical modeling. | foryourhealth111-pixel/ | 3.6k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 200 | 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/ | 391 | — | ~1.7k | Automated safety check: Pass | MIT | 3 days ago |
| 201 | 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 |
| 202 | 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 |
| 203 | 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 |
| 204 | Manually verify that the Quark Agent Skills system behaves correctly across the four contract categories (routing, planning, artifact, recovery). | amd/ | 182 | — | ~1.7k | Automated safety check: Pass | MIT | 13 days ago |
| 205 | 205.Lammps Deepmd Run LAMMPS molecular dynamics with DeePMD-kit machine learning potentials. | Hello-QM/ | 205 | — | ~1k | Automated safety check: Pass | AGPL-3.0 | 18 days ago |
| 206 | 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 | 18 days ago |
| 207 | 207.Machine Learning Machine learning development patterns, model training, evaluation, and deployment. | aiskillstore/ | 433 | 1 repo | ~1.6k | Automated safety check: Pass | No licence | yesterday |
| 208 | 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 |
| 209 | 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 |
| 210 | Generates complete dual-disease transcriptomic + machine learning research designs from a user-provided disease pair. | aipoch/ | 1.9k | — | ~3.7k | Automated safety check: Pass | MIT | 24 days ago |
| 211 | 211.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 |
| 212 | GRN inference from expression via GRNBoost2 (gradient boosting) or GENIE3 (Random Forest). | jaechang-hits/ | 374 | 2 repos | ~5.3k | Automated safety check: Pass | BSD-3-Clause | 12 days ago |
| 213 | 213.Analyze Confirmatory hypothesis testing matched to pre-registration, with full assumption testing, effect sizes, confidence intervals, and APA 7th formatted output. | brycewang-stanford/ | 4.6k | — | ~1.6k | Automated safety check: Pass | Unknown | 5 days ago |
| 214 | 214.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/ | 4.6k | — | ~1.1k | Automated safety check: Pass | Unknown | 5 days ago |
| 215 | 215.Scikit Learn Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines. | brycewang-stanford/ | 4.6k | — | ~4.6k | Automated safety check: Pass | Unknown | 5 days ago |
| 216 | 216.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/ | 244 | — | ~566 | Automated safety check: Pass | MIT | 2 mo ago |
| 217 | 217.Data Scientist Data science across machine learning, statistical modeling, and experimentation. | borghei/ | 891 | — | ~3.3k | Automated safety check: Pass | MIT | 3 days ago |
| 218 | 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 |
| 219 | Calculates molecular descriptors and fingerprints using RDKit. | FreedomIntelligence/ | 3.1k | — | ~1.6k | Automated safety check: Pass | No licence | 2 mo ago |
| 220 | Statistical analysis for metabolomics data. An agent skill from FreedomIntelligence/OpenClaw-Medical-Skills. | FreedomIntelligence/ | 3.1k | — | ~2.2k | Automated safety check: Pass | No licence | 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/ | 622 | — | ~634 | Automated safety check: Pass | MIT | yesterday |
| 223 | 223.Core ML Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration. | gustavscirulis/ | 116 | 1 repo | ~3.8k | Automated safety check: Notes | Unknown | 5 mo ago |
| 224 | 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 | yesterday |
| 225 | Fine-tune Fairchem machine learning interatomic potentials (UMA, ESEN) on custom datasets. | learningmatter-mit/ | 176 | — | ~1.7k | Automated safety check: Pass | MIT | 3 days ago |
| 226 | 226.ML Mace Finetune Fine-tune MACE machine learning interatomic potentials on custom datasets. | learningmatter-mit/ | 176 | — | ~2.6k | Automated safety check: Pass | MIT | 3 days ago |
| 227 | Fine-tune MatGL machine learning interatomic potentials on custom datasets. | learningmatter-mit/ | 176 | — | ~1.4k | Automated safety check: Pass | MIT | 3 days ago |
| 228 | 228.ML Mlip Speed Benchmark of inference speed of Machine Learning Interatomic Potentials (MLIPs). | learningmatter-mit/ | 176 | — | ~1k | Automated safety check: Pass | MIT | 3 days ago |
| 229 | 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 | 3 days ago |
| 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/ | 891 | — | ~1.7k | Automated safety check: Pass | MIT | 3 days ago |
| 232 | 232.Oracle Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation. | sundial-org/ | 663 | 2 repos | ~1.4k | Automated safety check: Notes | No licence | 7 mo ago |
| 233 | Interpret and explain a trained tabular machine-learning model (classification or regression) in MATLAB. | matlab/ | 1.1k | — | ~8.1k | Automated safety check: Pass | Unknown | 2 days ago |
| 234 | Per-feature NaN-safe Spearman/Pearson correlation across many features (genes, proteins, variants) with missing values. | jaechang-hits/ | 374 | 1 repo | ~2.9k | Automated safety check: Pass | CC-BY-4.0 | 12 days ago |
| 235 | Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines. | jaechang-hits/ | 374 | 1 repo | ~4k | Automated safety check: Pass | BSD-3-Clause | 12 days ago |
| 236 | Plan evaluation strategies for machine-learning product changes. | hashgraph-online/ | 1.3k | — | ~801 | Automated safety check: Pass | MIT | yesterday |
| 237 | 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 | yesterday |
| 238 | Azure VM/VMSS router. An agent skill from microsoft/GitHub-Copilot-for-Azure. | microsoft/ | 255 | — | ~657 | Automated safety check: Pass | MIT | yesterday |
| 239 | 239.Spring AI Diagnose and operate Spring AI projects with version-aware Maven or Gradle checks for ChatClient, advisors, retrieval, conversation memory, tool/MCP boundaries, streaming, configuration, and… | magnus919/ | 115 | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 240 | A skill your agent uses when evaluating the model and analyzing results for an Agricultural Systems (AgSy) manuscript so it survives expert systems review — independent model evaluation (observed vs. | franklee16/ | 223 | 1 repo | ~1k | Automated safety check: Pass | No licence | 22 days ago |