VenusFactory2

Submission-grade Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, figures4papers-style matplotlib plots, or journal-ready SVG/PDF/TIFF outputs, especially for Nature-family or other high-impact journals. Before plotting, define the figure's conclusion, evidence logic, export needs, and review risks. If the user has not chosen Python or R, ask "Python or R?" and stop. Use only the selected backend for figure generation, previewing, exporting, and QA. Supports matplotlib/seaborn and ggplot2/patchwork/ComplexHeatmap. Not for dashboards or Illustrator/Figma-first infographics. Also trigger on general academic-writing figure needs even without the word "Nature", such as making figures/plots for a paper, scientific/academic plotting, data visualization for a manuscript, and Chinese phrasings like 论文配图、学术写作配图、科研绘图、科研作图、画图、作图、出图、论文图表、可视化.

Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English. Also covers LaTeX layout/typesetting (排版) fixes — loose or sparse pages, stranded section headings, figures that don't fill the page or split across pages, "Float too large", multi-panel figure arrangement, and Supplementary Information that looks empty — via references/latex-layout.md. Also trigger on general academic/scientific writing requests even without the word "Nature", including academic writing, scientific writing, SCI/paper writing, English manuscript polishing, language editing, proofreading, and Chinese phrasings such as 学术写作、科研写作、论文润色、写paper、SCI写作、英文论文润色、语言润色、润色、改写、学术英语、英文写作.

Draft, restructure, or plan Nature-style manuscript sections from author-provided claims, results, figures, notes, or Chinese drafts. Use when the user wants to write or rebuild an abstract, introduction, related-work, method, experiments, discussion, conclusion, title, or full manuscript argument rather than only polish finished prose. Also trigger on general academic-writing requests even without the word "Nature", such as writing a paper from scratch, drafting a manuscript/section, structuring a paper, and Chinese phrasings like 学术写作、科研写作、论文写作、写论文、写paper、SCI写作、帮我写论文、搭论文框架、起草论文、写引言/摘要/讨论.

Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

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.

bioRxiv & medRxiv — biology / medicine preprint servers. Search by keyword + date window, fetch a specific preprint's full metadata (with all version history + abstract + JATS XML link) by DOI. Use for cutting-edge biology/medicine work that hasn't gone through peer review yet, or to find the original preprint version of a paper you only have the DOI for.

Multiple sequence alignment of proteins via EBI Clustal Omega web service. Use when you have ≥2 protein sequences in a FASTA file (≤4000 sequences, ≤4 MB) and need an alignment to assess conservation, residue importance, or domain structure. Do NOT use for: single sequences, homology search (use protein_sequence_similarity_search), structural alignment (use foldseek), or DNA/RNA alignment.

NCBI E-utilities for biological sequences — fetch protein/nucleotide FASTA by accession, run BLAST, translate CDS to protein, search NCBI Protein by gene+organism. Use when the user provides an NCBI accession (NP_, XP_, NM_, NR_, etc.), asks for a sequence by gene name + species, or needs to translate a coding sequence. Don't use for ClinVar variants (use ncbi_clinvar) or gene metadata lookup (use ncbi_gene).

OpenAlex — free, comprehensive scholarly graph (works, authors, sources/journals, institutions, topics, concepts, funders). Search papers by keyword/filter/sort, fetch a single entity by ID, look up author profiles, institutions, citation networks. Use whenever the user asks about papers, citation counts, author publications, institution outputs, or research topics. Lower-friction alternative to Semantic Scholar / Web of Science / Scopus.

Find homologous protein sequences from a query sequence using MMseqs2 (fast, ColabFold web API) or BLAST (comprehensive, EBI). Use when the user provides a protein sequence or FASTA file and wants homologs, function inference by sequence similarity, or input for an MSA. Do NOT use for structural similarity (use foldseek) or DNA/RNA queries.

PubMed — NCBI's biomedical literature database (>35M citations). Keyword search inline, or batch-fetch full title + structured abstract + authors + DOI for a known list of PMIDs. Use for medical / biological literature lookup, citation resolution, or building an abstract corpus for downstream NLP. Honors NCBI_API_KEY env var.

Headless PyMOL rendering of protein structures (PNG + PSE session) and structural superposition with RMSD. Use to produce static publication-style images, color a structure by pLDDT/B-factor/chain/secondary-structure, or compare two structures by cealign. Do NOT use for interactive 3D exploration (use MolstarViewer in the frontend), docking, MD simulation, or sequence-only analysis.

RCSB Protein Data Bank (PDB) — experimentally determined 3D biomolecular structures. Search by full-text/sequence/structure/attribute, fetch entry metadata, download coordinate files (PDB/mmCIF). Use when the user provides a PDB ID, asks for structures of a protein, wants to find similar structures by sequence, or needs experimental (not predicted) coordinates. Don't use for AlphaFold predictions (use alphafold_database).

UniProt — protein sequence, function, taxonomy, cross-references. Search proteins by query, retrieve a UniProt entry, map IDs between databases (PDB↔UniProt etc.), pull FASTA sequence, fetch metadata, run SPARQL against sparql.uniprot.org. Use whenever the user mentions a UniProt accession (e.g. P04637), asks for protein function/sequence/family info, or needs cross-DB ID mapping. Don't use for AlphaFold structures (use alphafold_database) or PDB structures (use rcsb_database).

Distills a completed user workflow or interaction into a reusable VenusFactory agent skill. Use when the user says "make this a skill", "create a skill from what we just did", "package this workflow" or similar. Adapts the workflow into the VenusFactory tools wiring + SKILL.md pattern. Do not use for creating skills from scratch without an existing workflow.

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation.

Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.

Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. Use this for direct HTTP/REST work or KEGG-specific control.

Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.

Query NCBI ClinVar for variant clinical significance. Search by gene/condition/CLNSIG, interpret pathogenicity, use E-utilities or FTP; annotate VCFs. Use project tools in src.tools.database.ncbi.

Query NCBI Gene via E-utilities/Datasets API. Search by symbol/ID, retrieve gene info (RefSeqs, GO, locations, phenotypes), batch lookups, for gene annotation and functional analysis.

Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.

Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.