Data Analysis

当用户提供一个蛋白质文件（.pdb）、运行时间（ns)和输出路径时，进行md模拟

Run a simulation example and analyze the output

Analyze Liza agents logs

Get the current market value of a vehicle from its VIN using the CarsXE API. Use this when a user asks how much a car is worth, wants to know its value, or is thinking about buying/selling a vehicle.

Interpret results and build arguments

Deterministic wallet dashboard. `/stats` shows live equity/exposure/positions/health for the user wallet (perps + builder/HIP3, live-first with DB fallback).

Analytics & Case Readiness skill #098 for assault-at-work case support.

Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.

Loads internal CausalPy example datasets. Use when the user needs example data or asks about available demos.

Parse and analyze CSV files with data validation

Join semilattices and sup-preservation.

Analytics & Case Readiness skill #095 for assault-at-work case support.

Get COVID-19 statistics for India including state-wise and district-wise data. Use when user asks for "COVID India", "coronavirus India", "vaccination stats India", or "covid cases [state]".

Preprocessing and harmonization of multi-omics data before integration. Covers normalization, batch correction, feature alignment, and missing value handling across data types. Use when preparing multi-omics datasets for integration analysis.

AI finance assistant — real-time quotes, charts, technical analysis, portfolio tracking, price alerts, watchlists, daily briefings, macro economics, and sentiment analysis for US stocks, BIST, crypto, and forex.

The core VARRD research tool — talk to a state-of-the-art quant AI to research, chart, test, optimize, and trade any market idea. Use when the user wants to test a trading hypothesis, find edges, or validate a strategy with real market data.

解析赛题PDF/Word，抽取任务与数据条件并给出模型选型与验证路线。Invoke when用户提供赛题文档或题目文本，需要确定采用何模型/方法。

End-to-end CLIP-seq analysis from FASTQ to binding sites and motif enrichment. Use when analyzing protein-RNA interactions from CLIP-based methods.

Transform and export data using DuckDB SQL. Read CSV/Parquet/JSON/Excel/databases, apply SQL transformations (joins, aggregations, PIVOT/UNPIVOT, sampling), and optionally write results to files. Use when the user wants to: (1) Clean, filter, or transform data, (2) Join multiple data sources, (3) Convert between formats (CSV→Parquet, etc.), (4) Create partitioned datasets, (5) Sample large datasets, (6) Export query results. Prefer this over in-context reasoning for datasets with thousands of rows or complex transformations.

Analyze user/customer feedback and produce a User Feedback Analysis Pack (source inventory, normalized feedback table, taxonomy/codebook, themes + evidence, recommendations, and feedback loop). Use for voice of customer, feature request analysis, support ticket synthesis, churn reason synthesis, and survey open-ends.

Gravity and magnetic data processing and forward modelling using Fatiando a Terra. Use when Claude needs to: (1) Compute gravity forward models (point masses, prisms, tesseroids), (2) Apply terrain/Bouguer corrections, (3) Grid scattered potential field data with equivalent sources, (4) Perform upward/downward continuation, (5) Calculate magnetic anomalies from magnetized bodies, (6) Apply derivative filters (gradients, tilt angle), (7) Process regional or local gravity surveys.

Score de risco social e recomendações proativas

Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification.

Master data manipulation, analysis, and visualization with Pandas, NumPy, and Matplotlib

Find marker genes and annotate cell types in single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for differential expression between clusters, identifying cluster-specific markers, scoring gene sets, and assigning cell type labels.

Parallel thread/DuckLake discovery with XOR uniqueness from gay_seed. Finds "say" or MCP usage, cross-refs with all DuckDB sources, launches bounded parallel ops.

Detect chromatin loops and point interactions from Hi-C data using cooltools, chromosight, and HiCCUPS-like methods. Identify CTCF-mediated loops and enhancer-promoter contacts. Use when detecting chromatin loops from Hi-C data.

Event deduplication with canonical selection, reputation scoring, and hash-based grouping for multi-source data aggregation. Handles both ID-based and content-based deduplication.

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.

Map Projection Skill

Configure RT 2.0 event tables and key events - define which streaming events to track and filter for real-time processing

Convert natural language queries to SQL. Use for database queries, data analysis, and reporting.

Creates an Ampi-ready SQLite vault from a folder of documents (md, markdown, txt, docx, doc) or an existing SQLite source table. Builds keyword search (FTS5), optional sparse semantic search, a search_schema contract, and an amplify_search_manifest so Ampi tools (search_vault_keyword, search_vault_semantic, search_vault_deep, lookup_vault_records) work immediately. Use when the user wants to build a new Ampi vault, ingest documents into a searchable SQLite database, check whether an existing vault passes the Ampi search contract, or re-build a vault from updated documents. Don't use for general SQLite database creation, non-Ampi document stores, CSV imports, querying an existing vault, or adding documents to an already-built vault without re-ingesting.

Analyze multi-channel ad performance data and recommend budget reallocation across Google, Meta, LinkedIn, and other paid channels. Identifies over-indexed and under-indexed channels based on CAC, conversion rates, and funnel stage coverage. Produces specific dollar-amount shift recommendations.

Use this skill when the user needs to set up analytics, design event tracking, define key metrics, build funnels, or instrument their SaaS product for data-driven decisions. Covers event naming conventions, tracking strategy, funnel analytics, and data quality.

Call protein-RNA binding site peaks from CLIP-seq data using CLIPper, PureCLIP, or Piranha. Use when identifying RBP binding sites from aligned CLIP reads.

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.

Query JASPAR for transcription factor binding site (TFBS) profiles (PWMs/PFMs). Search by TF name, species, or class; scan DNA sequences for TF binding sites; compare matrices; essential for regulatory genomics, motif analysis, and GWAS regulatory variant interpretation.

Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.

分析口腔健康数据、识别口腔问题模式、评估口腔健康状况、提供个性化口腔健康建议。支持与营养、慢性病、用药等其他健康数据的关联分析。

Query BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen. Essential for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.

Integrated 3-statement financial model: linked income statement, balance sheet, and cash flow

Predict project completion dates using ML models. Forecast schedule delays based on current progress, historical patterns, and risk factors.

Use when working on ERLabPy ARPES analysis tasks (loading beamline data, qsel indexing, momentum conversion, fitting, filtering, plotting, and ImageTool manager workflows) and when troubleshooting ERLabPy analysis code.

IPUMS NHGIS (National Historical Geographic Information System) census geography and demographic data for education research. Use when working with census geography, demographic data for school communities, time series analysis, geographic crosswalks, or linking schools to census tracts/block groups. Portal data is pre-processed crosswalks; direct NHGIS requires IPUMS registration.

Production-ready phylogenetics and sequence analysis skill for alignment processing, tree analysis, and evolutionary metrics. Computes treeness, RCV, treeness/RCV, parsimony informative sites, evolutionary rate, DVMC, tree length, alignment gap statistics, GC content, and bootstrap support using PhyKIT, Biopython, and DendroPy. Performs NJ/UPGMA/parsimony tree construction, Robinson-Foulds distance, Mann-Whitney U tests, and batch analysis across gene families. Integrates with ToolUniverse for sequence retrieval (NCBI, UniProt, Ensembl) and tree annotation. Use when processing FASTA/PHYLIP/Nexus/Newick files, computing phylogenetic metrics, comparing taxa groups, or answering questions about alignments, trees, parsimony, or molecular evolution.

Create and document Jupyter notebooks for reproducible analyses

Qwen Training Data Miner (Prototype)