菜单
KEGG REST access via VenusFactory download tools (academic use). Use for pathway/gene/compound lookups, ID conversion, and DDI. Do NOT use for PPI networks (string_database) or enzyme kinetics (brenda_database). Non-academic use of KEGG requires a commercial license.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ai4protein/VenusFactory2 --skill kegg-database命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Fine-tune and run custom protein models on VenusFactory (CSV/HF → config → train → predict). Use when the user brings labeled sequences, wants adapter training (ProtT5/ESM2/Ankh/QLoRA notes), or batch inference with a trained config. Do NOT use for zero-shot mutation without labels (zero_shot_mutation_workflow) or built-in function heads already covered by predict_protein_function.
AlphaFold DB structures and confidence analytics via VenusFactory tools. Use when the user needs predicted structures by UniProt ID, pLDDT/PAE analysis, or PDB/mmCIF download. Do NOT use for experimental PDB (rcsb_database), local ESMFold without UniProt (predict_structure_esmfold / protein_structure_pipeline), or sequence annotation (uniprot_database).
arXiv preprint server — keyword search the official API and download papers as PDF / HTML / source tarball. Use whenever the user mentions an arXiv ID (e.g. 2106.04559) or wants preprints on a topic in CS / physics / math / quantitative biology. For biomedical preprints specifically, prefer biorxiv skill.
基于 SOC 职业分类
正在显示 SKILL.md
| name | kegg_database |
| description | KEGG REST access via VenusFactory download tools (academic use). Use for pathway/gene/compound lookups, ID conversion, and DDI. Do NOT use for PPI networks (string_database) or enzyme kinetics (brenda_database). Non-academic use of KEGG requires a commercial license. |
| license | Non-academic use of KEGG requires a commercial license |
| metadata | {"version":"1.2","skill-author":"VenusFactory2"} |
| Tool | Purpose |
|---|---|
| download_kegg_info_by_database | Database info |
| download_kegg_list_by_database | List entries |
| download_kegg_find_by_database | Text |
| download_kegg_entry_by_id | Entry detail |
| download_kegg_conv_by_id | ID conversion |
| download_kegg_link_by_id | Cross-links |
| download_kegg_ddi_by_id | Drug–drug interaction |
All write results under required out_path (not out_dir) and return rich JSON (status + file_info).
find / list → entry → optional link/conv.string_database for PPI enrichment context; brenda_database for kinetics.convTrust order: SKILL.md → topic refs → references/legacy_guide.md (archived; may show query_kegg_* library APIs).
read_skill(skill_id="kegg_database", relative_path="references/kegg_reference.md")
read_skill(skill_id="kegg_database", relative_path="references/legacy_guide.md")
| File | When to load |
|---|---|
references/kegg_reference.md | REST field details |
references/legacy_guide.md | Extended tutorials after hub workflow is insufficient |