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SkillsMP は Zaoqu-Liu/ScienceClaw から 88 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 88 件中 40 件を表示しています。
Search 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…
原文の言語: 英語
Browser 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…
原文の言語: 英語
Systematic 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,…
原文の言語: 英語
Evolving 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…
原文の言語: 英語
Five-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…
原文の言語: 英語
AI-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…
原文の言語: 英語
Autonomous 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,…
原文の言語: 英語
Pre-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…
原文の言語: 英語
Generate 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,…
原文の言語: 英語
Multi-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…
原文の言語: 英語
Export 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.
原文の言語: 英語
Export 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",…
原文の言語: 英語
Export 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…
原文の言語: 英語
Monitor 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…
原文の言語: 英語
Write 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,…
原文の言語: 英語
Create 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…
原文の言語: 英語
Automatically 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,…
原文の言語: 英語
Optimize 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…
原文の言語: 英語
Create 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.
原文の言語: 英語
Create 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,…
原文の言語: 英語
Generate 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…
原文の言語: 英語
Optional 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.
原文の言語: 英語
Generate 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…
原文の言語: 英語
Write 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.
原文の言語: 英語
Slide design principles for scientific presentations — structure, pacing, visual hierarchy. For actual PPTX file generation, use the pptx-generation skill instead.
原文の言語: 英語
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure,…
原文の言語: 英語
Detect 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,…
原文の言語: 英語
Comprehensive 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…
原文の言語: 英語
Discover 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…
原文の言語: 英語
Provide 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…
原文の言語: 英語
Comprehensive 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,…
原文の言語: 英語
Strategic 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…
原文の言語: 英語
AI-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…
原文の言語: 英語
Comprehensive 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,…
原文の言語: 英語
Generates 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…
原文の言語: 英語
Comprehensive 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…
原文の言語: 英語
Production-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…
原文の言語: 英語
Comprehensive 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…
原文の言語: 英語
Predict 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…
原文の言語: 英語
Conduct 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…
原文の言語: 英語