القائمة
Submit compact MGnify API requests for microbiome studies, samples, and biome metadata. Use when a user wants concise MGnify summaries
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | mgnify-skill |
| description | Submit compact MGnify API requests for microbiome studies, samples, and biome metadata. Use when a user wants concise MGnify summaries |
scripts/rest_request.py for all MGnify calls.base_url=https://www.ebi.ac.uk/metagenomics/api/v1.record_path=data for collection endpoints.studies, samples, and biomes.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/metagenomics/api/v1","path":"studies","params":{"page_size":10},"record_path":"data","max_items":10}{"base_url":"https://www.ebi.ac.uk/metagenomics/api/v1","path":"biomes","params":{"page_size":10},"record_path":"data","max_items":10}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/metagenomics/api/v1","path":"studies","params":{"page_size":10},"record_path":"data","max_items":10}' | python scripts/rest_request.py
scripts/rest_request.py.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.