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AI & LLM Engineering · By aipoch
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when performing sample-level dimensionality reduction and visualization on abundance or OTU-style matrices with a companion group file, generating UMAP and/or t-SNE… | aipoch/ | 1.9k | — | ~2.7k | Automated safety check: Pass | MIT | 24 days ago |
| 2 | Extracts and summarizes key takeaways from documents, meeting notes, articles, and other text content. | aipoch/ | 1.9k | — | ~2.3k | Automated safety check: Pass | MIT | 24 days ago |
| 3 | Vector database retrieval and evidence-based answering for medical research topics. | aipoch/ | 1.9k | — | ~2k | Automated safety check: Pass | MIT | 24 days ago |
| 4 | 4.Geniml Machine learning toolkit for genomic interval (BED) data; use it when you need to tokenize BED collections and train embeddings for regions/cells/labels, build consensus peak universes, or run… | aipoch/ | 1.9k | — | ~1.9k | Automated safety check: Pass | MIT | 24 days ago |
| 5 | Analyze data with metagenomic-krona-chart using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.5k | Automated safety check: Pass | MIT | 24 days ago |
| 6 | Analyze data with phylogenetic-tree-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.5k | Automated safety check: Pass | MIT | 24 days ago |
| 7 | Analyze data with pseudotime-trajectory-viz using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~3.8k | Automated safety check: Pass | MIT | 24 days ago |
| 8 | Analyze data with smiles-de-salter using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 24 days ago |
| 9 | Analyze data with survival-curve-risk-table using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~4.2k | Automated safety check: Pass | MIT | 24 days ago |
| 10 | Analyze data with toxicity-structure-alert using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 24 days ago |
| 11 | Analyze data with volcano-plot-labeler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.8k | Automated safety check: Pass | MIT | 24 days ago |
| 12 | 12.Esm Toolkit for protein language models (ESM3 for multimodal generative protein design; ESM C for efficient embeddings). | aipoch/ | 1.9k | — | ~1.7k | Automated safety check: Pass | MIT | 24 days ago |
| 13 | Analyze data with adme-property-predictor using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~7k | Automated safety check: Pass | MIT | 24 days ago |
| 14 | Runtime, prompt-time behavioral guardrail that helps reduce PHI exposure in LLM-assisted workflows by detecting PHI-bearing prompts, avoiding unsafe tool actions that would pull more PHI in, and… | aipoch/ | 1.9k | — | ~4.2k | Automated safety check: Pass | MIT | 24 days ago |
| 15 | PyTorch-native Graph Neural Network framework for molecules and proteins. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 24 days ago |
| 16 | Analyze data with forest-plot-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~3k | Automated safety check: Pass | MIT | 24 days ago |
