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Research & Science · By aipoch
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 289 | Standardize fragmented experimental steps into reproducible protocol documents when you need method organization, lab SOP drafting, or cross-operator reproducibility; missing parameters must be… | aipoch/ | 1.9k | — | ~2.2k | Automated safety check: Pass | MIT | 24 days ago |
| 290 | 290.Pydicom A Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. | aipoch/ | 1.9k | — | ~4.4k | Automated safety check: Pass | MIT | 24 days ago |
| 291 | Based on user input, directly find relevant literature or automatically construct PubMed Boolean search queries to retrieve and filter references suitable for citation. | aipoch/ | 1.9k | — | ~2.1k | Automated safety check: Pass | MIT | 24 days ago |
| 292 | 292.Research Grants Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan's NSTC when you need agency-compliant narratives, budgets, and review-criteria alignment for a specific solicitation/FOA/BAA. | aipoch/ | 1.9k | — | ~2.2k | Automated safety check: Pass | MIT | 24 days ago |
| 293 | Auto-annotate cell clusters from single-cell RNA data using marker genes. | aipoch/ | 1.9k | — | ~1.7k | Automated safety check: Pass | MIT | 24 days ago |
| 294 | 294.Search Pubmed An intelligent tool for precision medical literature search using PubMed's E-utilities API. | aipoch/ | 1.9k | — | ~1.3k | Automated safety check: Pass | MIT | 24 days ago |
| 295 | Generate structured shift handover summaries from EHR records, highlighting critical events, vital sign changes, and pending tasks for incoming clinical staff. | aipoch/ | 1.9k | — | ~1.3k | Automated safety check: Pass | MIT | 24 days ago |
| 296 | Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto. | aipoch/ | 1.9k | — | ~3.4k | Automated safety check: Pass | MIT | 24 days ago |
| 297 | Automated generation of baseline characteristics tables (Table 1) for clinical research papers. | aipoch/ | 1.9k | — | ~2k | Automated safety check: Pass | MIT | 24 days ago |
| 298 | Generate publication-ready baseline characteristics tables (Table 1) for clinical research papers with automatic variable type detection, appropriate statistics (mean±SD, median[IQR, n(%)), group… | aipoch/ | 1.9k | — | ~1.6k | Automated safety check: Pass | MIT | 24 days ago |
| 299 | Generates a comprehensive research proposal design based on input literature, including hypothesis, mechanism verification, and budget. | aipoch/ | 1.9k | — | ~2k | Automated safety check: Pass | MIT | 24 days ago |
| 300 | Designs primary aims, secondary aims, and testable hypotheses from broad biomedical research ideas. | aipoch/ | 1.9k | — | ~3.7k | Automated safety check: Pass | MIT | 24 days ago |
| 301 | Designs cell-based and animal-based validation plans that translate computational, omics, biomarker, genetic, or clinical findings into experimentally testable validation routes. | aipoch/ | 1.9k | — | ~3.4k | Automated safety check: Pass | MIT | 24 days ago |
| 302 | 302.Bianque Evidence-based medical knowledge and research mentor grounded in the Bian Que tradition. | aipoch/ | 1.9k | — | ~1.2k | Automated safety check: Pass | MIT | 24 days ago |
| 303 | Generates complete bidirectional multi-phenotype Mendelian randomization research designs from a user-provided exposure family and outcome family. | aipoch/ | 1.9k | — | ~4.4k | Automated safety check: Pass | MIT | 24 days ago |
| 304 | Identifies translationally meaningful paths for bioinformatics findings by mapping omics or computational discoveries to diagnosis, stratification, prognosis, treatment-response, monitoring, or… | aipoch/ | 1.9k | — | ~4.4k | Automated safety check: Pass | MIT | 24 days ago |
| 305 | 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 |
| 306 | 306.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 |
| 307 | 307.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 |
| 308 | 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 |
| 309 | 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 |
| 310 | 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 |
| 311 | 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 |
| 312 | 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 |
| 313 | 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 |
| 314 | 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 |
| 315 | 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 |
| 316 | 316.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 |
| 317 | 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 |
| 318 | 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 |
| 319 | 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 |
| 320 | 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 |
| 321 | 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 |
| 322 | 322.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 |
| 323 | 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 |
| 324 | 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 |
| 325 | 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 |
| 326 | 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 |
| 327 | 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 |
| 328 | 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 |
| 329 | 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 |
| 330 | Turns your protocol and analysis workflow into publication-ready Methods text. | aipoch/ | 1.9k | — | ~1.8k | Automated safety check: Pass | MIT | 24 days ago |
| 331 | 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 |
| 332 | 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 |
| 333 | 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 |
| 334 | 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 |
| 335 | 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 |
| 336 | 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 |