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GitHub 저장소

lifesciences-deepagents

lifesciences-deepagents에는 donbr에서 수집한 skills 8개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
8
Stars
0
업데이트
2026-02-08
Forks
0
직업 범위
직업 카테고리 4개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

lifesciences-graph-builder
기타 생물 과학자

Orchestrates life sciences APIs to build knowledge graphs using the Fuzzy-to-Fact protocol, combining MCP tools for entity resolution and curl for edge discovery, then persisting to Graphiti. This skill should be used when the user asks to "build knowledge graphs", "find biological connections", "explore drug repurposing", "validate drug targets", or mentions traversing gene→protein→pathway→drug→disease paths, multi-API orchestration, or graph persistence workflows.

2026-02-08
lifesciences-reporting-quality-review
소프트웨어 품질 보증 분석가·테스터

Structured quality review framework for Fuzzy-to-Fact life sciences reports. Evaluates reports against protocol requirements using template-specific criteria, distinguishes presentation failures from protocol failures, and applies consistent standards for paraphrasing vs hallucination. Use when the user asks to 'review this report', 'evaluate report quality', 'check protocol compliance', 'validate CQ report', or similar quality assessment requests.

2026-02-08
lifesciences-clinical
소프트웨어 개발자

Queries clinical databases (Open Targets, ClinicalTrials.gov) via MCP tools for target-disease associations, target tractability assessment, and clinical trial discovery. Falls back to curl when MCP is unavailable. This skill should be used when the user asks to "validate drug targets", "find clinical trials", "assess target tractability", "discover disease associations", or mentions Open Targets scores, NCT identifiers, target-disease evidence, druggability assessment, or translational research workflows.

2026-02-08
lifesciences-genomics
소프트웨어 개발자

Queries genomic databases (Ensembl, NCBI, HGNC) via MCP tools for gene lookup, variant annotation, orthology, and cross-database ID resolution. Falls back to curl when MCP is unavailable. This skill should be used when the user asks to "annotate variants", "find orthologs", "map gene IDs", "analyze linkage disequilibrium", or mentions gene symbols, ENSG IDs, HGNC identifiers, VEP annotation, LD analysis, HGVS notation, or DNA sequences.

2026-02-08
lifesciences-pharmacology
의학 과학자(역학자 제외)

Queries pharmacology databases (ChEMBL, PubChem, IUPHAR, Open Targets) via MCP tools for drug mechanisms, target identification, bioactivity profiling, and indication discovery. Falls back to curl when MCP is unavailable. This skill should be used when the user asks to "find drug mechanisms", "identify drug targets", "analyze bioactivity data", "discover drug indications", or mentions ChEMBL IDs, mechanisms of action, IC50/Ki values, drug-target relationships, or compound similarity searches.

2026-02-08
lifesciences-proteomics
기타 생물 과학자

Queries protein databases (UniProt, STRING, BioGRID) via MCP tools for protein lookups, protein-protein interactions, functional enrichment analysis, and cross-database ID mapping. Falls back to curl when MCP is unavailable. This skill should be used when the user asks to "find protein interactions", "analyze interaction networks", "perform GO enrichment", "map protein IDs", or mentions PPI networks, UniProt accessions, STRING scores, BioGRID interactions, or protein ID conversion between databases.

2026-02-08
lifesciences-reporting
기타 생물 과학자

Formats professional reports from Fuzzy-to-Fact pipeline output using domain-specific templates, claim-level evidence grading, and standardized citations. This skill should be used when the user asks to "format a report", "summarize findings", "grade evidence", "write up results", or mentions report templates, confidence scoring, evidence levels, or presentation of pipeline output.

2026-02-08
lifesciences-crispr
기타 생물 과학자

Validates synthetic lethality claims from CRISPR knockout screens using BioGRID ORCS 5-phase workflow. This skill should be used when the user asks to "validate synthetic lethality", "query CRISPR essentiality data", "find gene dependencies", "compare cell line screens", or mentions BioGRID ORCS, gene knockout data, essentiality scores (CERES, MAGeCK, BAGEL), or asks to validate claims from published CRISPR papers.

2026-02-07
lifesciences-deepagents GitHub Agent Skills | SkillsMP