zaoqu-liu
- 78 skills
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- 8 hours ago last updated
- ▌ Mbti Typing 2 · zaoqu-liuRigorous MBTI typing workflow. Use for type-me requests, adjacent-type duels, transcript audits, report reviews, adaptive interviews, question-bank work, and adapter maintenance.
- ▌ Mbti Typing 3 · zaoqu-liuRigorous MBTI and personality typing workflow. Use for type-me requests, adjacent-type duels, transcript audits, report reviews, adaptive interviews, question-bank work, and personality typing protocol design.
- ▌ Mbti Typing 4 · zaoqu-liuRigorous MBTI typing workflow for type-me requests, adjacent-type duels, transcript audits, report reviews, question-bank work, and cross-agent adapter maintenance.
- ▌ Renwei Zh · zaoqu-liu bundleAudit and revise Chinese text to reduce formulaic AI-style writing while preserving facts and author voice. Use for 中文润色, 去机器味, 去 AI 味, 公众号/知乎/小红书/商业/学术稿改写, 模型化表达审计, 声线保留, fact-safe Chinese editing.
- ▌ Zq Writer · zaoqu-liu bundlezq-writer 系列写作技能索引与路由。Use only when 用户明确提到 zq-writer 系列、询问该用哪个 zq-writer-* 技能、要求设计/扩展/审查 zq-writer 系列,或需要在多个写作子技能之间做选择。Not for 直接执行普通写作任务;具体任务应路由到 zq-writer-brief、未来的 zq-writer-draft、zq-writer-polish、zq-writer-pack 等子技能。
- ▌ Zq Writer Brief · zaoqu-liu bundle高风险中文材料的前端策划与统稿大纲。Use when 用户要为院士/老板/领导/评审/客户/基金/会议/蓝皮书/白皮书/章节/报告/方案等重要材料先想清楚方向、提纲、主论点、分工、证据锚点、写作边界或交付形态;尤其适合“先想提纲”“深度规划”“多人分工写”“要有高度”“给上级/院士团队交差但不能失体面”的场景。Not for 已有明确提纲后直接写长篇正文、普通润色、简单邮件、纯 PDF/Word 格式转换、单篇论文精读。
- ▌ Converge · zaoqu-liu bundleOwner-mode intent reconstruction for fuzzy, high-ambiguity requests. Use when the user invokes @converge or converge, asks to think something through, clarify an idea, make a decision, write a PRD/spec/plan, synthesize mixed files/screenshots/links/repo context, turn a vague idea into a solution, evaluate a current technology route, draft a direct answer, create an action plan, or deeply analyze product, research, strategy, architecture, writing, or personal/work planning. Do not trigger for direct coding tasks, bug fixes, code review, simple factual questions, translations, or obvious one-step tasks unless explicitly invoked.
- ▌ Research Route · zaoqu-liu bundleExample Converge-compatible research route skill for current technical decisions.
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- ▌ Mbti Typing · zaoqu-liu bundleRigorous MBTI and personality typing workflow for Chinese or English requests to determine, verify, disprove, or compare MBTI types; analyze exported conversations or personality reports; run multi-round forced-choice interviews; distinguish adjacent types such as ENTJ vs INTJ, INFP vs INFJ, INFP vs ENTJ, or ESTJ vs ENTJ; and produce evidence-based reports using cognitive functions, Big Five cross-checks, Bayesian evidence ledgers, differential diagnosis, and anti-overclaiming safeguards.
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- ▌ Export DOCX · zaoqu-liuExport research project reports to Word (.docx) format with embedded figures and formatted references. Use when user says "导出 Word", "/export word", "转 docx", "生成 Word 报告", "export to Word", or wants a Word document from project results.
- ▌ Export PPTX · zaoqu-liuExport research project findings to a presentation (.pptx) with key findings, figures, and conclusions. Use when user says "导出 PPT", "/export pptx", "做个汇报", "生成 PPT", "export to PowerPoint", "make a presentation from results", or wants slides from project results. Builds on pptx-generation skill.
- ▌ Export Latex · zaoqu-liuExport research project findings to a LaTeX manuscript draft with figures, references, and methods. Supports Nature, Cell, Lancet, and generic article formats. Use when user says "导出 LaTeX", "/export latex", "写论文初稿", "export to LaTeX", "generate manuscript", or wants a paper draft from project results. Builds on venue-templates skill.
- ▌ Tooluniverse · zaoqu-liuRouter skill for ToolUniverse tasks. First checks if specialized tooluniverse skills (34+ skills covering disease/drug/target research, clinical decision support, genomics, epigenomics, chemical safety, systems biology, and more) can solve the problem, then falls back to general strategies for using 1400+ scientific tools. Covers tool discovery, multi-hop queries, comprehensive research workflows, disambiguation, evidence grading, and report generation. Use when users need to research any scientific topic, find biological data, or explore drug/target/disease relationships.
- ▌ Latex Posters · zaoqu-liu bundleCreate professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.
- ▌ Evolving Memory · zaoqu-liuEvolving memory system inspired by EvoScientist. Extends ScienceClaw's research memory with four record types (finding, ideation, strategy, pitfall) to enable learning from past research sessions. Recall relevant strategies and pitfalls before recipe execution, extract and persist new lessons after completion. Use at the start and end of every research recipe, and when the user asks to recall past experience or improve workflows.
- ▌ Figure Pipeline · zaoqu-liuFive-step figure generation pipeline inspired by PaperVizAgent (Google Research, 2026). Orchestrates Retriever → Planner → Stylist → Visualizer → Critic stages for publication-quality scientific figures. Retrieves reference figures from literature, plans layout and composition, applies journal-specific styling, generates the figure, then critiques and refines. Use when the user needs high-quality figures for papers/presentations and wants a more deliberate, reference-driven approach than direct code generation. Especially useful for multi-panel figures and complex data visualizations.
- ▌ Frontend Slides · zaoqu-liuCreate HTML-based presentations that run in a browser. Use ONLY when the user explicitly asks for an HTML presentation or web-based slides. For PowerPoint (.pptx) generation, use the pptx-generation skill instead.
- ▌ PPTX Generation · zaoqu-liuGenerate academic PowerPoint presentations (.pptx) using python-pptx. Use this skill for making PPT, slides, presentations, 生成PPT, 做PPT, 写PPT, 幻灯片. Provides complete helper functions and templates. Preferred over scientific-slides and frontend-slides for all PPTX generation.
- ▌ Jupyter · zaoqu-liuCreate and execute Jupyter notebooks for interactive data analysis using jupyter_execute and jupyter_notebook tools
- ▌ Research Alerts · zaoqu-liuMonitor research topics and alert the user when new papers are published. Use when user says "/watch", "监控", "关注这个课题", "有新文献告诉我", "monitor this topic", "alert me on new papers", "track new publications". Stores watch configurations and checks for new results at session start.
- ▌ Research Grants · zaoqu-liu bundleWrite competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
- ▌ Treatment Plans · zaoqu-liu bundleGenerate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
- ▌ Clinical Reports · zaoqu-liu bundleWrite comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.
- ▌ Drug Repurposing · zaoqu-liuSystematic drug repurposing analysis inspired by NovusAI. Evaluates existing drugs for new therapeutic indications through multi-dimensional evidence gathering across target networks, clinical trials (including failures), patent landscape, safety profiles, and off-label literature. Produces ranked repurposing candidates with evidence scores. Use when users ask about finding new uses for existing drugs, off-label potential, "老药新用", or "drug repurposing for X". Complements target-validation (which starts from a target) by starting from a drug.
- ▌ Research Recipes · zaoqu-liu bundlePre-built research workflow templates that execute complete multi-step analyses from a single user prompt. Triggers on gene analysis, target validation, literature review, differential expression, clinical queries, researcher profiling, drug repurposing, or molecular dynamics simulation. Use when the user's query matches a Recipe pattern defined in SCIENCE.md.
- ▌ Tooluniverse Sdk · zaoqu-liuBuild AI scientist systems using ToolUniverse Python SDK for scientific research. Use when users need to access 1000++ scientific tools through Python code, create scientific workflows, perform drug discovery, protein analysis, genomics analysis, literature research, or any computational biology task. Triggers include requests to use scientific tools programmatically, build research pipelines, analyze biological data, search literature, predict drug properties, or create AI-powered scientific workflows.
- ▌ Devtu Create Tool · zaoqu-liuCreate new scientific tools for ToolUniverse framework with proper structure, validation, and testing. Use when users need to add tools to ToolUniverse, implement new API integrations, create tool wrappers for scientific databases/services, expand ToolUniverse capabilities, or follow ToolUniverse contribution guidelines. Supports creating tool classes, JSON configurations, validation, error handling, and test examples.
- ▌ Offer K Dense Web · zaoqu-liuOptional integration with K-Dense Web for end-to-end multi-agent research workflows. Use when the user asks about K-Dense or needs complex research orchestration beyond single-agent capability.
- ▌ Scientific Slides · zaoqu-liu bundleSlide design principles for scientific presentations — structure, pacing, visual hierarchy. For actual PPTX file generation, use the pptx-generation skill instead.
- ▌ Asta Corpus Search · zaoqu-liuSearch Allen AI's Asta Scientific Corpus (225M+ papers, 12M+ full-text, 2.4B+ citations) via MCP endpoint. Provides paragraph-level semantic search across full-text publications, citation graph traversal, and author analysis. Use as a complement to PubMed/OpenAlex/Semantic Scholar for deeper literature discovery, especially when full-text search or citation network analysis is needed. Requires ASTA_API_KEY in .env (free registration at allenai.org/asta).
- ▌ Browser Automation · zaoqu-liuBrowser automation for accessing scientific databases that lack REST APIs. Uses the browser-use Python framework (81k+ GitHub stars) to control a real browser via LLM vision. Enables data extraction from web-only databases like GEPIA2, GeneCards advanced features, COSMIC public data, and journal full-text access. Use as a fallback when curl-based API access fails or when the target database has no programmatic API. Requires pip install browser-use and a Chromium browser.
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- ▌ Molecular Dynamics · zaoqu-liuAutonomous molecular dynamics simulation pipeline inspired by DynaMate (2026). Designs, executes, and analyzes complete MD workflows for protein and protein-ligand systems. Covers structure retrieval, system preparation, minimization, equilibration, production, and trajectory analysis (RMSD, RMSF, hydrogen bonds, binding free energy). Uses OpenMM as the primary engine with AmberTools for preparation. Self-correcting — detects and fixes common simulation failures. Use when users ask for MD simulations, protein stability analysis, binding free energy calculations, or "跑个分子动力学模拟". Requires OpenMM and optionally AmberTools.
- ▌ Setup Tooluniverse · zaoqu-liuInstall and configure ToolUniverse for any use case — MCP server (chat-based), CLI (command line with 9 subcommands), or Python SDK (Coding API with 3 calling patterns). Covers uv/uvx setup, MCP configuration for 12+ AI clients (Cursor, Claude Desktop, Windsurf, VS Code, Codex, Gemini CLI, Trae, Cline, etc.), full CLI reference (tu list/grep/find/info/run/test/status/build/serve), Coding API quickstart, agentic tools, code executor, API key walkthrough, skill installation, and upgrading. Use when user asks how to set up ToolUniverse, which access mode to use (MCP vs CLI vs SDK), configuring MCP servers, using the CLI, troubleshooting installation, upgrading, or mentions installing ToolUniverse or setting up scientific tools. Also triggers for "how do I use ToolUniverse", "what's the best way to access tools", "command line", "tu command", "coding API", "tu build".
- ▌ Peer Review · zaoqu-liuConduct thorough academic peer reviews with structured feedback using load_pdf and arxiv_to_prompt
- ▌ Paper Search · zaoqu-liuSearch and discover academic papers from arXiv and web sources using arxiv_to_prompt and web search
- ▌ Devtu Optimize Skills · zaoqu-liu bundleOptimize ToolUniverse skills for better report quality, evidence handling, and user experience. Apply patterns like tool verification, foundation data layers, disambiguation-first, evidence grading, quantified completeness, and report-only output. Use when reviewing skills, improving existing skills, or creating new ToolUniverse research skills.
- ▌ Biomed Dispatch · zaoqu-liuDispatch biomedical research and data analysis tasks to Claude Code with K-Dense Scientific Skills. Use this skill when the user asks to run any bioinformatics, genomics, drug discovery, clinical data analysis, proteomics, multi-omics, medical imaging, or scientific computation task. Also use for literature search (PubMed, bioRxiv), pathway analysis, protein structure prediction, or scientific writing tasks.
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- ▌ Latex Writing · zaoqu-liuCreate, edit, and compile LaTeX documents for academic papers using latex_compile, update_latex, and send_ui_directive tools
- ▌ Ml Experiment · zaoqu-liuDesign and run machine learning experiments with proper evaluation using jupyter_execute, including training, benchmarking, and ablation studies
- ▌ Quant Analysis · zaoqu-liuQuantitative finance analysis including portfolio optimization, risk modeling, and time series econometrics using jupyter_execute
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- ▌ Svg Scientific Figures · zaoqu-liuGenerate editable SVG scientific illustrations (mechanism diagrams, signaling pathways, workflow figures) directly from LLM text output. Uses a Review-Refine loop inspired by AutoFigure (ICLR 2026). Outputs editable SVG files compatible with draw.io, Illustrator, and PowerPoint, plus PNG renders. Use when the user needs mechanism diagrams, pathway illustrations, experimental workflow figures, or any schematic that should be editable. Complements the existing Gemini-based scientific-diagram-generation skill (which produces non-editable PNG).
- ▌ Market Research Reports · zaoqu-liu bundleGenerate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.
- ▌ Theorem Proving · zaoqu-liuConstruct and verify mathematical proofs using LaTeX typesetting and computational verification via jupyter_execute
- ▌ Devtu Auto Discover Apis · zaoqu-liu bundleAutomatically discover life science APIs online, create ToolUniverse tools, validate them, and prepare integration PRs. Performs gap analysis to identify missing tool categories, web searches for APIs, automated tool creation using devtu-create-tool patterns, validation with devtu-fix-tool, and git workflow management. Use when expanding ToolUniverse coverage, adding new API integrations, or systematically discovering scientific resources.
- ▌ Manuscript Review Revise · zaoqu-liuAI-powered manuscript review and revision system inspired by APRES (ICLR 2026). Evaluates scientific manuscripts using ScholarEval 8-dimension rubric plus citation-predictive heuristics, then performs targeted revisions while preserving core scientific claims. Outputs before/after comparison with improvement metrics. Use when the user says "/review", "帮我审一下", "review my manuscript", "improve this paper", "polish this draft", or provides a manuscript for quality improvement. Also triggered by "审稿", "修改论文", "润色".
- ▌ Tooluniverse Custom Tool · zaoqu-liuAdd custom local tools to ToolUniverse and use them alongside the 1000+ built-in tools. Use this skill when a user wants to: create their own tool for a private or custom API, add a local tool to their workspace, integrate an internal service with ToolUniverse, or use a custom tool via the MCP server or Python API. Covers both the JSON config approach (easiest, no Python needed) and the Python class approach (full control). Also covers how to verify tools loaded correctly and how to call them. Also covers the plugin package approach for reusable, shareable, pip-installable tool sets.
- ▌ Tooluniverse Epigenomics · zaoqu-liu bundleProduction-ready genomics and epigenomics data processing for BixBench questions. Handles methylation array analysis (CpG filtering, differential methylation, age-related CpG detection, chromosome-level density), ChIP-seq peak analysis (peak calling, motif enrichment, coverage stats), ATAC-seq chromatin accessibility, multi-omics integration (expression + methylation correlation), and genome-wide statistics. Pure Python computation (pandas, scipy, numpy, pysam, statsmodels) plus ToolUniverse annotation tools (Ensembl, ENCODE, SCREEN, JASPAR, ReMap, RegulomeDB, ChIPAtlas). Supports BED, BigWig, methylation beta-value matrices, Illumina manifest files, and multi-sample clinical data. Use when processing methylation data, ChIP-seq peaks, ATAC-seq signals, or answering questions about CpG sites, differential methylation, chromatin accessibility, histone marks, or epigenomic statistics.
- ▌ Create Tooluniverse Skill · zaoqu-liu bundleCreate high-quality ToolUniverse skills following test-driven, implementation-agnostic methodology. Integrates tools from ToolUniverse's 1,264+ tool library, creates missing tools when needed using devtu-create-tool, tests thoroughly, and produces skills with Python SDK + MCP support. Use when asked to create new ToolUniverse skills, build research workflows, or develop domain-specific analysis capabilities for biology, chemistry, or medicine.
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- ▌ Tooluniverse Drug Research · zaoqu-liu bundleGenerates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections. Covers identity, chemistry, pharmacology, targets, clinical trials, safety, pharmacogenomics, and ADMET properties. Use when users ask about drugs, medications, therapeutics, or need drug profiling, safety assessment, or clinical development research.
- ▌ Therapeutic Reasoning Chain · zaoqu-liuMulti-step therapeutic reasoning inspired by TxAgent (Harvard MIMS, 2026). Chains ToolUniverse tool calls with clinical reasoning to analyze drug interactions, contraindications, and personalized treatment strategies. Goes beyond single-step database lookups to perform sequential reasoning across patient profile, pharmacology, guidelines, and safety data. Use when users ask about treatment recommendations, drug interactions for specific patients, personalized therapy, or "X 怎么治" with patient-specific context (age, comorbidities, concurrent medications). Enhances the existing clinical-query and target-validation recipes.
- ▌ Tooluniverse Chemical Safety · zaoqu-liu bundleComprehensive chemical safety and toxicology assessment integrating ADMET-AI predictions, CTD toxicogenomics, FDA label safety data, DrugBank safety profiles, and STITCH chemical-protein interactions. Performs predictive toxicology (AMES, DILI, LD50, carcinogenicity), organ/system toxicity profiling, chemical-gene-disease relationship mapping, regulatory safety extraction, and environmental hazard assessment. Use when asked about chemical toxicity, drug safety profiling, ADMET properties, environmental health risks, chemical hazard assessment, or toxicogenomic analysis.
- ▌ Tooluniverse Target Research · zaoqu-liu bundleGather comprehensive biological target intelligence from 9 parallel research paths covering protein info, structure, interactions, pathways, expression, variants, drug interactions, and literature. Features collision-aware searches, evidence grading (T1-T4), explicit Open Targets coverage, and mandatory completeness auditing. Use when users ask about drug targets, proteins, genes, or need target validation, druggability assessment, or comprehensive target profiling.
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- ▌ Tooluniverse Binder Discovery · zaoqu-liu bundleDiscover novel small molecule binders for protein targets using structure-based and ligand-based approaches. Creates actionable reports with candidate compounds, ADMET profiles, and synthesis feasibility. Use when users ask to find small molecules for a target, identify novel binders, perform virtual screening, or need hit-to-lead compound identification.
- ▌ Tooluniverse Precision Oncology · zaoqu-liu bundleProvide actionable treatment recommendations for cancer patients based on molecular profile. Interprets tumor mutations, identifies FDA-approved therapies, finds resistance mechanisms, matches clinical trials. Use when oncologist asks about treatment options for specific mutations (EGFR, KRAS, BRAF, etc.), therapy resistance, or clinical trial eligibility.
- ▌ Tooluniverse Antibody Engineering · zaoqu-liu bundleComprehensive antibody engineering and optimization for therapeutic development. Covers humanization, affinity maturation, developability assessment, and immunogenicity prediction. Use when asked to optimize antibodies, humanize sequences, or engineer therapeutic antibodies from lead to clinical candidate.
- ▌ Tooluniverse Network Pharmacology · zaoqu-liu bundleConstruct and analyze compound-target-disease networks for drug repurposing, polypharmacology discovery, and systems pharmacology. Builds multi-layer networks from ChEMBL, OpenTargets, STRING, DrugBank, Reactome, FAERS, and 60+ other ToolUniverse tools. Calculates Network Pharmacology Scores (0-100), identifies repurposing candidates, predicts mechanisms, and analyzes polypharmacology. Use when users ask about drug repurposing via network analysis, multi-target drug effects, compound-target-disease networks, systems pharmacology, or polypharmacology.
- ▌ Tooluniverse Clinical Trial Design · zaoqu-liu bundleStrategic clinical trial design feasibility assessment using ToolUniverse. Evaluates patient population sizing, biomarker prevalence, endpoint selection, comparator analysis, safety monitoring, and regulatory pathways. Creates comprehensive feasibility reports with evidence grading, enrollment projections, and trial design recommendations. Use when planning Phase 1/2 trials, assessing trial feasibility, or designing biomarker-driven studies.
- ▌ Tooluniverse Crispr Screen Analysis · zaoqu-liu bundleComprehensive CRISPR screen analysis for functional genomics. Analyze pooled or arrayed CRISPR screens (knockout, activation, interference) to identify essential genes, synthetic lethal interactions, and drug targets. Perform sgRNA count processing, gene-level scoring (MAGeCK, BAGEL), quality control, pathway enrichment, and drug target prioritization. Use for CRISPR screen analysis, gene essentiality studies, synthetic lethality detection, functional genomics, drug target validation, or identifying genetic vulnerabilities.
- ▌ Tooluniverse Drug Target Validation · zaoqu-liu bundleComprehensive computational validation of drug targets for early-stage drug discovery. Evaluates targets across 10 dimensions (disambiguation, disease association, druggability, chemical matter, clinical precedent, safety, pathway context, validation evidence, structural insights, validation roadmap) using 60+ ToolUniverse tools. Produces a quantitative Target Validation Score (0-100) with GO/NO-GO recommendation. Use when users ask about target validation, druggability assessment, target prioritization, or "is X a good drug target for Y?"
- ▌ Tooluniverse Rare Disease Diagnosis · zaoqu-liu bundleProvide differential diagnosis for patients with suspected rare diseases based on phenotype and genetic data. Matches symptoms to HPO terms, identifies candidate diseases from Orphanet/OMIM, prioritizes genes for testing, interprets variants of uncertain significance. Use when clinician asks about rare disease diagnosis, unexplained phenotypes, or genetic testing interpretation.
- ▌ Tooluniverse Spatial Omics Analysis · zaoqu-liu bundleComputational analysis framework for spatial multi-omics data integration. Given spatially variable genes (SVGs), spatial domain annotations, tissue type, and disease context from spatial transcriptomics/proteomics experiments (10x Visium, MERFISH, DBiTplus, SLIDE-seq, etc.), performs comprehensive biological interpretation including pathway enrichment, cell-cell interaction inference, druggable target identification, immune microenvironment characterization, and multi-modal integration. Produces a detailed markdown report with Spatial Omics Integration Score (0-100), domain-by-domain characterization, and validation recommendations. Uses 70+ ToolUniverse tools across 9 analysis phases. Use when users ask about spatial transcriptomics analysis, spatial omics interpretation, tissue heterogeneity, spatial gene expression patterns, tumor microenvironment mapping, tissue zonation, or cell-cell communication from spatial data.
- ▌ Tooluniverse Variant Interpretation · zaoqu-liu bundleSystematic clinical variant interpretation from raw variant calls to ACMG-classified recommendations with structural impact analysis. Aggregates evidence from ClinVar, gnomAD, CIViC, UniProt, and PDB across ACMG criteria. Produces pathogenicity scores (0-100), clinical recommendations, and treatment implications. Use when interpreting genetic variants, classifying variants of uncertain significance (VUS), performing ACMG variant classification, or translating variant calls to clinical actionability.
- ▌ Tooluniverse Adverse Event Detection · zaoqu-liu bundleDetect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence. Generates quantitative safety signal scores (0-100) with evidence grading. Use for post-market surveillance, pharmacovigilance, drug safety assessment, adverse event investigation, and regulatory decision support.
- ▌ Tooluniverse Clinical Trial Matching · zaoqu-liu bundleAI-driven patient-to-trial matching for precision medicine and oncology. Given a patient profile (disease, molecular alterations, stage, prior treatments), discovers and ranks clinical trials from ClinicalTrials.gov using multi-dimensional matching across molecular eligibility, clinical criteria, drug-biomarker alignment, evidence strength, and geographic feasibility. Produces a quantitative Trial Match Score (0-100) per trial with tiered recommendations and a comprehensive markdown report. Use when oncologists, molecular tumor boards, or patients ask about clinical trial options for specific cancer types, biomarker profiles, or post-progression scenarios.
- ▌ Tooluniverse Literature Deep Research · zaoqu-liu bundleConduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction. Creates a detailed report with mandatory completeness checklist, biological model synthesis, and testable hypotheses. For biological targets, resolves official IDs (Ensembl/UniProt), synonyms, naming collisions, and gathers expression/pathway context before literature search. Default deliverable is a report file; for single factoid questions, uses a fast verification mode and may include an inline answer. Use when users need thorough literature reviews, target profiles, or to verify specific claims from the literature.
- ▌ Tooluniverse Immune Repertoire Analysis · zaoqu-liu bundleComprehensive immune repertoire analysis for T-cell and B-cell receptor sequencing data. Analyze TCR/BCR repertoires to assess clonality, diversity, V(D)J gene usage, CDR3 characteristics, convergence, and predict epitope specificity. Integrate with single-cell data for clonotype-phenotype associations. Use for adaptive immune response profiling, cancer immunotherapy research, vaccine response assessment, autoimmune disease studies, or repertoire diversity analysis in immunology research.
- ▌ Tooluniverse Structural Variant Analysis · zaoqu-liu bundleComprehensive structural variant (SV) analysis skill for clinical genomics. Classifies SVs (deletions, duplications, inversions, translocations), assesses pathogenicity using ACMG-adapted criteria, evaluates gene disruption and dosage sensitivity, and provides clinical interpretation with evidence grading. Use when analyzing CNVs, large deletions/duplications, chromosomal rearrangements, or any structural variants requiring clinical interpretation.
- ▌ Tooluniverse Cancer Variant Interpretation · zaoqu-liu bundleProvide comprehensive clinical interpretation of somatic mutations in cancer. Given a gene symbol + variant (e.g., EGFR L858R, BRAF V600E) and optional cancer type, performs multi-database analysis covering clinical evidence (CIViC), mutation prevalence (cBioPortal), therapeutic associations (OpenTargets, ChEMBL, FDA), resistance mechanisms, clinical trials, prognostic impact, and pathway context. Generates an evidence-graded markdown report with actionable recommendations for precision oncology. Use when oncologists, molecular tumor boards, or researchers ask about treatment options for specific cancer mutations, resistance mechanisms, or clinical trial matching.
- ▌ Tooluniverse Immunotherapy Response Prediction · zaoqu-liu bundlePredict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Given a cancer type, somatic mutations, and optional biomarkers (TMB, PD-L1, MSI status), performs systematic analysis across 11 phases covering TMB classification, neoantigen burden estimation, MSI/MMR assessment, PD-L1 evaluation, immune microenvironment profiling, mutation-based resistance/sensitivity prediction, clinical evidence retrieval, and multi-biomarker score integration. Generates a quantitative ICI Response Score (0-100), response likelihood tier, specific ICI drug recommendations with evidence, resistance risk factors, and a monitoring plan. Use when oncologists ask about immunotherapy eligibility, checkpoint inhibitor selection, or biomarker-guided ICI treatment decisions.
- ▌ Tooluniverse Precision Medicine Stratification · zaoqu-liu bundleComprehensive patient stratification for precision medicine by integrating genomic, clinical, and therapeutic data. Given a disease/condition, genomic data (germline variants, somatic mutations, expression), and optional clinical parameters, performs multi-phase analysis across 9 phases covering disease disambiguation, genetic risk assessment, disease-specific molecular stratification, pharmacogenomic profiling, comorbidity/DDI risk, pathway analysis, clinical evidence and guideline mapping, clinical trial matching, and integrated outcome prediction. Generates a quantitative Precision Medicine Risk Score (0-100) with risk tier assignment (Low/Intermediate/High/Very High), treatment algorithm (1st/2nd/3rd line), pharmacogenomic guidance, clinical trial matches, and monitoring plan. Use when clinicians ask about patient risk stratification, treatment selection, prognosis prediction, or personalized therapeutic strategy across cancer, metabolic, cardiovascular, neurological, or rare diseases.
- ▌ Tooluniverse Multiomic Disease Characterization · zaoqu-liu bundleComprehensive multi-omics disease characterization integrating genomics, transcriptomics, proteomics, pathway, and therapeutic layers for systems-level understanding. Produces a detailed multi-omics report with quantitative confidence scoring (0-100), cross-layer gene concordance analysis, biomarker candidates, therapeutic opportunities, and mechanistic hypotheses. Uses 80+ ToolUniverse tools across 8 analysis layers. Use when users ask about disease mechanisms, multi-omics analysis, systems biology of disease, biomarker discovery, or therapeutic target identification from a disease perspective.