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aipoch/medical-research-skills
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 481 | Scans the biomarker landscape of a disease area by biomarker type, clinical/research use case, evidence layer, validation status, and maturity level. | aipoch/ | 1.9k | — | ~4.9k | Automated safety check: Pass | MIT | 24 days ago |
| 482 | 482.Biopython Entrez Use Bio.Entrez to access NCBI databases (e.g., PubMed/GenBank) for searching, fetching summaries, and downloading records when your workflow needs to call the NCBI E-utilities API over the network. | aipoch/ | 1.9k | — | ~1.5k | Automated safety check: Pass | MIT | 24 days ago |
| 483 | 483.Cellxgene Census Programmatically query the CZ CELLxGENE Census (61M+ cells) when you need cross-tissue, disease, or cell-type expression data for population-scale queries and reference atlas comparisons. | aipoch/ | 1.9k | — | ~1.6k | Automated safety check: Pass | MIT | 24 days ago |
| 484 | Clarifies a vague clinical or biomedical research idea into a structured, bounded, searchable, researchable, and testable question. | aipoch/ | 1.9k | — | ~3.9k | Automated safety check: Pass | MIT | 24 days ago |
| 485 | Generates complete comorbidity-oriented shared-biomarker bioinformatics research designs from a user-provided disease pair and validation direction. | aipoch/ | 1.9k | — | ~4.5k | Automated safety check: Pass | MIT | 24 days ago |
| 486 | Plans confounder control, variable adjustment logic, and bias mitigation strategies at the protocol stage for clinical, epidemiologic, translational, observational, and biomarker studies. | aipoch/ | 1.9k | — | ~3.9k | Automated safety check: Pass | MIT | 24 days ago |
| 487 | Generates complete conventional non-oncology bioinformatics research designs from a user-provided disease context, process-related gene family or biological theme, and validation direction. | aipoch/ | 1.9k | — | ~4.6k | Automated safety check: Pass | MIT | 24 days ago |
| 488 | Generates complete conventional oncology bulk-transcriptome biomarker and hub-gene research designs from a user-provided cancer type and study direction. | aipoch/ | 1.9k | — | ~4.6k | Automated safety check: Pass | MIT | 24 days ago |
| 489 | Generates complete cross-disease shared-biomarker bioinformatics research designs from a user-provided disease pair and validation direction. | aipoch/ | 1.9k | — | ~4.5k | Automated safety check: Pass | MIT | 24 days ago |
| 490 | Systematically maps mechanism evidence for a disease from molecules to pathways, cell types, tissues, biological consequences, and clinical phenotypes. | aipoch/ | 1.9k | — | ~3.4k | Automated safety check: Pass | MIT | 24 days ago |
| 491 | DNAnexus cloud genomics platform. An agent skill from aipoch/medical-research-skills. | aipoch/ | 1.9k | — | ~3.5k | Automated safety check: Pass | MIT | 24 days ago |
| 492 | Generates complete dual-disease shared-transcriptome biomarker and hub-gene research designs from a user-provided disease pair and shared-biology direction. | aipoch/ | 1.9k | — | ~4.3k | Automated safety check: Pass | MIT | 24 days ago |
| 493 | 493.Ena Database Access the European Nucleotide Archive (ENA) via REST APIs and FTP/Aspera to search and retrieve sequences, raw reads (FASTQ), assemblies, and metadata when you have accession IDs or need… | aipoch/ | 1.9k | — | ~1.9k | Automated safety check: Pass | MIT | 24 days ago |
| 494 | Designs primary, secondary, and exploratory endpoints for biomedical and clinical research protocols. | aipoch/ | 1.9k | — | ~4.3k | Automated safety check: Pass | MIT | 24 days ago |
| 495 | Generates complete FAERS-style pharmacovigilance disproportionality research designs from a user-provided drug class, comparator strategy, adverse-event domain, and patient-group stratification. | aipoch/ | 1.9k | — | ~4.4k | Automated safety check: Pass | MIT | 24 days ago |
| 496 | Designs a realistic, execution-aware biomedical study version under explicit constraints of samples, time, budget, data access, lab capacity, team skill, and validation resources. | aipoch/ | 1.9k | — | ~3.5k | Automated safety check: Pass | MIT | 24 days ago |
| 497 | 497.Flowio Parse Flow Cytometry Standard (FCS) files v2.0–3.1 and extract events/metadata for preprocessing workflows (e.g., when you need NumPy arrays, channel info, or CSV/DataFrame export from cytometry… | aipoch/ | 1.9k | — | ~1.8k | Automated safety check: Pass | MIT | 24 days ago |
| 498 | Generates complete phenotype-scoring bioinformatics research designs for any disease context and any user-defined phenotype, pathway, process, signature, or molecular program. | aipoch/ | 1.9k | — | ~4.6k | Automated safety check: Pass | MIT | 24 days ago |
| 499 | Builds clear, executable, and auditable inclusion and exclusion criteria for biomedical and clinical research protocols. | aipoch/ | 1.9k | — | ~4.2k | Automated safety check: Pass | MIT | 24 days ago |
| 500 | 500.Lamindb This skill is applicable when using LaminDB. An agent skill from aipoch/medical-research-skills. | aipoch/ | 1.9k | — | ~4.8k | Automated safety check: Pass | MIT | 24 days ago |
| 501 | Extends a mechanistic or association-level biomedical finding into a staged validation pathway that moves from descriptive evidence toward stronger functional support, mechanistic specificity, and… | aipoch/ | 1.9k | — | ~3.8k | Automated safety check: Pass | MIT | 24 days ago |
| 502 | Converts an audited medical research gap into a complete, structured, gap-traceable study design. | aipoch/ | 1.9k | — | ~3.6k | Automated safety check: Pass | MIT | 24 days ago |
| 503 | Maps whether a biomedical research topic, subtopic, or study angle is truly saturated, superficially crowded, strategically occupied, or still open for differentiated entry. | aipoch/ | 1.9k | — | ~3.6k | Automated safety check: Pass | MIT | 24 days ago |
| 504 | Generates complete Mendelian randomization study designs from a user-provided exposure and outcome direction. | aipoch/ | 1.9k | — | ~3.7k | Automated safety check: Pass | MIT | 24 days ago |
| 505 | Medical literature search strategy generator. An agent skill from aipoch/medical-research-skills. | aipoch/ | 1.9k | — | ~1.6k | Automated safety check: Pass | MIT | 24 days ago |
| 506 | Detects methodological gaps across study design, analysis, validation, bias control, reproducibility, and implementation readiness within a biomedical research area. | aipoch/ | 1.9k | — | ~3.5k | Automated safety check: Pass | MIT | 24 days ago |
| 507 | Reverse-engineers the methods section of a biomedical paper into a structured, reproducible workflow. | aipoch/ | 1.9k | — | ~4k | Automated safety check: Pass | MIT | 24 days ago |
| 508 | Turns your protocol and analysis workflow into publication-ready Methods text. | aipoch/ | 1.9k | — | ~1.8k | Automated safety check: Pass | MIT | 24 days ago |
| 509 | Generates complete Mendelian Randomization + single-cell transcriptomics (scRNA-seq) research designs from a user-provided direction. | aipoch/ | 1.9k | — | ~4k | Automated safety check: Pass | MIT | 24 days ago |
| 510 | Collects candidate biomedical literature across multiple databases, adapts search logic by database, preserves source metadata, and organizes results into a structured, screening-ready candidate pool. | aipoch/ | 1.9k | — | ~3.2k | Automated safety check: Pass | MIT | 24 days ago |
| 511 | Generates complete NHANES-style cross-sectional epidemiology + retrospective clinical validation research designs from a user-provided disease and biomarker direction. | aipoch/ | 1.9k | — | ~4.7k | Automated safety check: Pass | MIT | 24 days ago |
| 512 | Generates complete conventional non-oncology diagnostic machine-learning research designs from a user-provided disease context, optional mechanism theme, and validation direction. | aipoch/ | 1.9k | — | ~4.8k | Automated safety check: Pass | MIT | 24 days ago |
| 513 | Verifies whether a scientific or biomedical claim is actually supported by the cited original papers rather than by citation drift, overstatement, selective citation, or correlation-to-causation… | aipoch/ | 1.9k | — | ~3.8k | Automated safety check: Pass | MIT | 24 days ago |
| 514 | Generates complete programmed-cell-death (PCD) / regulated-cell-death (RCD) bulk-transcriptome oncology research designs from a user-provided disease and mechanism theme. | aipoch/ | 1.9k | — | ~4.6k | Automated safety check: Pass | MIT | 24 days ago |
| 515 | Detects overlooked, underrepresented, weakly resolved, or poorly validated populations and subgroups within a biomedical research area so users can identify more precise and meaningful study… | aipoch/ | 1.9k | — | ~3.5k | Automated safety check: Pass | MIT | 24 days ago |
| 516 | Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary, premature, weaker… | aipoch/ | 1.9k | — | ~3.6k | Automated safety check: Pass | MIT | 24 days ago |
| 517 | Generates complete process-related diagnostic biomarker bioinformatics research designs from a user-provided disease context, gene-family or pathway theme, and validation direction. | aipoch/ | 1.9k | — | ~4.7k | Automated safety check: Pass | MIT | 24 days ago |
| 518 | 518.Pysam Genomic file toolkit. An agent skill from aipoch/medical-research-skills. | aipoch/ | 1.9k | — | ~3.4k | Automated safety check: Pass | MIT | 24 days ago |
| 519 | Designs a structured real-world evidence study using EHR, claims, or registry data, with explicit handling of time zero, eligibility windows, exposure definitions, outcome windows, censoring… | aipoch/ | 1.9k | — | ~3.7k | Automated safety check: Pass | MIT | 24 days ago |
| 520 | Generates complete conventional single-gene oncology research designs from a user-provided cancer context, target gene, and validation direction. | aipoch/ | 1.9k | — | ~4.7k | Automated safety check: Pass | MIT | 24 days ago |
| 521 | Refines broad, vague, or aspirational biomedical research objectives into clear, bounded, measurable, executable, and downstream-ready study objective statements. | aipoch/ | 1.9k | — | ~3.3k | Automated safety check: Pass | MIT | 24 days ago |
| 522 | Strategic clinical trial design feasibility assessment using ToolUniverse. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 24 days ago |
| 523 | Rapidly maps the evidence landscape around a medical topic by organizing major research streams, target populations, endpoints, methods, evidence density, and thin areas. | aipoch/ | 1.9k | — | ~3k | Automated safety check: Pass | MIT | 24 days ago |
| 524 | PyTorch-native Graph Neural Network framework for molecules and proteins. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 24 days ago |
| 525 | Generates complete two-sample Mendelian randomization research designs from a user-provided outcome, exposure or exposure family, and robustness direction. | aipoch/ | 1.9k | — | ~4.5k | Automated safety check: Pass | MIT | 24 days ago |
| 526 | Extracts concrete unmet clinical needs from guidelines, reviews, real-world studies, and clinical-practice evidence. | aipoch/ | 1.9k | — | ~3.9k | Automated safety check: Pass | MIT | 24 days ago |
| 527 | 527.Zinc Database Access the ZINC (230M+ purchasable compounds) database when you need to look up compounds by ZINC ID/SMILES, run similarity/analog searches, or download 3D ready-to-dock structures for virtual… | aipoch/ | 1.9k | — | ~1.9k | Automated safety check: Pass | MIT | 24 days ago |
| 528 | Generates a structured prompt framework for clinical study protocols. | aipoch/ | 1.9k | — | ~2.1k | Automated safety check: Pass | MIT | 24 days ago |
