clinical-trial-matcher
Matches patient profiles to open clinical trials using vector similarity and inclusion/exclusion criteria. Use when a user provides patient data and asks for relevant trials.
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Matches patient profiles to open clinical trials using vector similarity and inclusion/exclusion criteria. Use when a user provides patient data and asks for relevant trials.
Drafts regulatory documents (FDA, EMA) with audit trails and specific "Thinking Block" reasoning. Use for high-stakes compliance writing.
Predicts 3D protein structures from amino acid sequences using ESMFold or AlphaFold3 (mock).
Designs guide RNA (gRNA) sequences for CRISPR-Cas9 editing, including off-target analysis. Use when a user needs to edit a gene or asks for gRNA sequences.
A production-grade cheminformatics toolkit for analyzing molecular properties, toxicity, and synthetic accessibility.
Analyzes medical images (X-ray, MRI, CT) using multimodal LLMs to identify anomalies and generate reports.
Classifies genetic variants according to ACMG (American College of Medical Genetics) guidelines.
ISMS-P 인증 준비 지원. 항목 조회, 체크리스트 생성, 이행 계획 수립.
R&D management expertise for R&D portfolio management, technology roadmapping, research methodology, patent strategy, lab management, academic partnerships, and regulatory pathways. Use when managing research p...
Perform gene set enrichment analysis using AI research providers. Analyzes lists of genes to identify biological themes, pathways, and functional associations.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing re...
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), buil...
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment...
Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal pro...
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses...
Multi-specialist collaborative analysis to understand how features, functions, or components work
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical rese...
Skill for validating and repairing evidence references in the dismech knowledge base. Use this skill when working with evidence items in disorder YAML files, validating that snippet text matches PubMed abstract...
Skill for analyzing and improving compliance in the dismech knowledge base. Use this skill when checking disorder file completeness, identifying missing fields (ontology terms, evidence, descriptions), understa...
Skill for adding and validating ontology term references in the dismech knowledge base. This skill should be used when working with disorder YAML files that need ontology term annotations (HPO for phenotypes, C...
Force-fit patterns from other domains to spark novel concepts.
Screen job candidates using AI-powered evaluation. Use when asked to "screen candidates", "review applicants", "evaluate candidates", or when reviewing resumes and applications.
Reviews implemented ADRs by comparing them against actual implementation and updating feedback sections. Use this when the user wants to review an ADR implementation, validate architectural decisions, or update...
Specialized skill for analyzing lunar lander interface specifications and payload capacity within the LORS framework.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。