菜单
Submit compact BioStudies and ArrayExpress API requests for free-text search and accession-based study retrieval. Use when a user wants concise BioStudies summaries
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Build evidence-graded compound–target–disease network-pharmacology hypotheses for natural products, herbal medicines, formulae, and small molecules using live SciMiner tools plus public life-science evidence. Use when an agent must curate compounds, predict or verify targets, prioritize disease-relevant targets, assess ADMET or off-target risk, run docking as supporting evidence, create interactive network visualizations, or produce reproducible network-pharmacology reports without R.
In-depth, multi-region pharmaceutical intelligence search and synthesis, plus drug repurposing, target discovery, clinical evidence review, and bioactivity analysis. Use this skill whenever the user asks about drug approvals, clinical trials, regulatory submissions, pipeline assets, patent landscapes, competitive intelligence, scientific evidence, disease targets, genetic associations, or compound bioactivity for any drug, target, indication, or company — especially when coverage of China, US, Europe, Japan, South Korea, or Australia is needed. Trigger even for casual queries like "what's the approval status of X in China", "find trials for Y in Japan", "compare pipeline coverage across regions", "find drugs for disease Z", or "what targets are associated with condition W". Always consult this skill before answering any pharma or biomedical research question that requires source-grounded data.
Submit compact RCSB PDB requests for core metadata, Search API queries, and FASTA downloads. Use when a user wants concise RCSB summaries; save raw JSON or FASTA only on request.
Structure-activity relationship analysis workflows using SciMiner's MCS-based and scaffold-based SAR APIs for file or inline table inputs, plus an AlphaFold3-based binding-mode prediction workflow for target-aware SAR.
Virtual screening workflows for open and proprietary chemical libraries, including transformer-based screening and docking-based screening through SciMiner.
Antibody engineering workflow combining ANARCI, BioPhi, IgFold, FoldX, and Rosetta tools through SciMiner.
| name | biostudies-arrayexpress-skill |
| description | Submit compact BioStudies and ArrayExpress API requests for free-text search and accession-based study retrieval. Use when a user wants concise BioStudies summaries |
scripts/rest_request.py for all BioStudies and ArrayExpress calls.base_url=https://www.ebi.ac.uk/biostudies/api/v1.pageSize=10 and max_items=10; accession lookups usually do not need max_items.... in tool previews as UI truncation, not literal request content.search, ArrayExpress/search, studies/<accession>, and studies/<accession>/info.save_raw=true and report the saved file path instead of pasting large study records into chat.base_url, pathmethod, params, headers, json_body, form_body, record_path, response_format, max_items, max_depth, timeout_sec, save_raw, raw_output_path{"base_url":"https://www.ebi.ac.uk/biostudies/api/v1","path":"search","params":{"query":"rna","page":1,"pageSize":10},"record_path":"hits","max_items":10}{"base_url":"https://www.ebi.ac.uk/biostudies/api/v1","path":"ArrayExpress/search","params":{"query":"single cell","page":1,"pageSize":10},"record_path":"hits","max_items":10}{"base_url":"https://www.ebi.ac.uk/biostudies/api/v1","path":"studies/E-MTAB-6701"}ok, source, path, method, status_code, warnings, and either compact records or a compact summary.raw_output_path when save_raw=true.ok=false with error.code and error.message.echo '{"base_url":"https://www.ebi.ac.uk/biostudies/api/v1","path":"search","params":{"query":"rna","page":1,"pageSize":10},"record_path":"hits","max_items":10}' | python scripts/rest_request.py
scripts/rest_request.py.