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Guide an agent through property search, buyer/renter preference capture, and evidence-backed shortlist notes from structured listing data.
Navigate Florida for living, moving, working, seasonal stays, and road trips with region fit, storm planning, insurance reality, and daily logistics.
行业研究助手 - 地产版。专注于房地产行业研究，包括住宅开发、商业地产、物业管理、房地产服务等赛道。 **触发场景**： - 用户研究房地产行业/细分赛道（住宅开发、商业地产、物业、代建） - 分析房企财务指标（三道红线、土储、销售、融资） - 房地产政策影响（限购、限贷、融资政策） - 房企竞品对标、估值分析 - 写房地产行业研报、晨会材料、客户简报 **关键词**
Assesses physical and transition climate risk for CRE properties and portfolios. Translates hazard exposure (flood, wind, wildfire, extreme heat, sea level rise) and regulatory/market shifts into financial impacts on NOI, cap rates, insurance costs, and tenant demand. Produces dollar-denominated ...
Drafts ASTM E1527-21 environmental site assessment reports under 40 CFR Part 312. Classifies RECs, CRECs, and HRECs to establish all appropriate inquiries for CERCLA liability protection. Trigger when the user requests a Phase I ESA, environmental site assessment, recognized environmental conditi...
LoopNet shows you today — this CLI remembers, building the price-cut, days-on-market, and supply trends LoopNet... Trigger phrases: `search loopnet for commercial real estate`, `find industrial properties for sale in`, `track price cuts on loopnet`, `what is the cap rate distribution in`, `screen...
SKILL DE RISCO \u2014 AUDITOR DE RISCO EM LEIL\u00d5ES workflow skill. Use this skill when the user needs Analise de risco em leiloes de imoveis. Score 36 pontos, riscos juridicos/financeiros/operacionais, stress test 4 cenarios e ROI ponderado por risco and the operator should preserve the upstr...
Run supervised property-detail and market-trend lookups from an MCP client while checking data-source terms before use.
Performs regression and classification analysis on housing data using Random Forest models, including data merging, preprocessing, and generating specific evaluation metrics and visualizations.
An MCP server that provides on-demand skill loading for AI coding assistants.
Predict ADME (Absorption, Distribution, Metabolism, Excretion) properties
Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for...
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq dat...
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Use when evaluating the clinical utility of a binary prediction model from a single clinical CSV file by fitting a logistic decision-curve model, plotting decision and clinical-impact curves, and exporting summary outputs. NOT for: survival calibration, ROC-only discrimination analysis, nomogram ...
Use when performing time-dependent ROC curve analysis for survival data with follow-up time, event status, and a numeric marker. Supports CSV/TXT/TSV/Excel input, `risk_score` as the default marker unless `--marker_col` is provided, parameter validation, standardized output directories, AUC table...
Identifies translationally meaningful paths for bioinformatics findings by mapping omics or computational discoveries to diagnosis, stratification, prognosis, treatment-response, monitoring, or target-nomination use cases, while auditing bridge evidence, assayability, and validation burden. Use t...
Scans the biomarker landscape of a disease area by biomarker type, clinical/research use case, evidence layer, validation status, and maturity level. Use this skill when a user wants a field-level biomarker evidence map rather than a generic literature summary. Always separate exploratory biomark...
Use when correcting batch effects in merged bulk expression matrices with sample-level batch metadata while preserving biological group structure and generating before-and-after QC plots. NOT for: single-cell integration, raw FASTQ processing, differential expression without batch labels, or data...
Use when normalizing bulk gene or protein expression matrices with log2 transform, z-score standardization, or min-max scaling before downstream visualization or exploratory analysis. NOT for count-model normalization such as TPM/DESeq2 size factors, batch correction, or single-cell preprocessing.
Use when analyzing bulk RNA-seq or microarray expression data to identify differentially expressed genes between two biological groups (case vs control), with volcano plots and heatmap visualization. NOT for:single-cell RNA-seq, methylation analysis, non-expression data.
Detects methodological gaps across study design, analysis, validation, bias control, reproducibility, and implementation readiness within a biomedical research area. Use this skill when a user wants to identify what current studies are still methodologically missing, which weaknesses are most con...
Use when evaluating diagnostic biomarker performance from case-control expression data with logistic regression and ROC curves, exporting coefficient and AUC tables together with a ROC PDF. NOT for: survival analysis, time-to-event outcomes, multiclass classification, calibration curves, decision...
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