Results for “ma”

Monitors real-time disaster data from FEMA, NOAA, and USGS, including disaster declarations, weather alerts, and earthquake information.

Create publication-quality statistical graphics in Python with dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and multi-panel figures.

Compacts and prunes LanceDB tables in StaticFlow databases to merge fragment files, reduce open file descriptors, and reclaim storage.

Creates, edits, and analyzes spreadsheet files (xlsx, xlsm, csv, tsv) with formulas, formatting, and data cleaning, including recalculation and error checking.

Create, manipulate, and analyze complex networks and graphs using the NetworkX Python package, including algorithms, generators, I/O, and visualization.

Design schemas, write TypeScript functions, and manage real-time data, auth, storage, scheduling, and deployment for Convex backends.

Computes the InfoLM metric from torchmetrics for evaluating text generation against ground truth, with configurable information measures and sentence-level scoring.

Create clear, effective charts and dashboards from structured data using matplotlib, seaborn, and plotly. Use when the user requests data visualization or provides relevant inputs for this workflow.

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.

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 don't fit in memory.

Analyzes sales pipeline health, revenue forecasting accuracy, and go-to-market efficiency metrics for SaaS revenue optimization.

Analyze single-cell RNA-seq data using Scanpy, including quality control, normalization, clustering, marker gene identification, and visualization.

Perform astronomical research and data analysis with coordinate transformations, unit conversions, FITS file operations, cosmological calculations, time handling, and tabular data manipulation.

Automate spreadsheet operations including creating workbooks, writing data, formatting cells, upserting rows, and managing worksheets across Microsoft Excel and Google Sheets.

Automates News API operations through Composio's News API toolkit via Rube MCP, including tool discovery, connection management, and execution.

Automates Parsehub data extraction tasks through Composio's Parsehub toolkit via Rube MCP, with tool discovery and connection management.

Automate Zyte API operations through Composio's Rube MCP integration, including tool discovery, connection management, and execution.

Automate Cloudlayer document processing tasks through Composio's toolkit via Rube MCP, with dynamic tool discovery and connection management.

Automate customer engagement workflows including broadcast triggers, message analytics, segment management, and newsletter tracking through Customer.io via Composio.

Automate Gender API operations through Composio's Gender API toolkit via Rube MCP, with tool discovery and connection management.

Automate InfluxDB Cloud operations like querying, managing buckets, and writing data through Composio's toolkit via Rube MCP.

Automate OpenWeather API operations through Composio's toolkit via Rube MCP, with tool discovery and connection management.

Build discrete-event simulations of systems with processes, queues, resources, and time-based events using SimPy in Python.

Manipulate phylogenetic trees, detect evolutionary events, integrate NCBI taxonomy, and create publication-quality visualizations using the ETE toolkit.

Monitors Xianyu (goofish.com) for newly listed items matching keywords, price ranges, and filters, with automated scanning and Discord notifications.

Run SQL queries and psql meta-commands against PostgreSQL databases via the psql CLI, with options for file execution, tuples-only output, and timeouts.

Compresses long K-line (candlestick) data into a fixed-length sequence using OHLC aggregation rules and applies min-max normalization.

Generates Python code to batch-translate the English column of tab-separated CSV files while preserving the original Chinese column and output format.

Build discrete-event simulations of systems with processes, queues, resources, and time-based events using the SimPy framework in Python.

Recalibrates conservative Kiro cache-estimation coefficients from recent successful usage samples, producing a recommendation for manual admin Kmodel updates.

Analyze single-cell RNA-seq data with Scanpy, covering quality control, normalization, dimensionality reduction, clustering, marker gene identification, and visualization.

Queries 9 genomic databases in parallel for a given rsID, returning unified GWAS, PheWAS, eQTL, and fine-mapping reports.

Grades and classifies evaluation batch results, applying exclusions, diagnosing failure modes, computing pass rates, and generating summary tables for papers.

Analyzes AWS Athena queries and workgroups, including cost-per-query tracking, performance optimization, and Data Catalog integration.

Analyze NATS clusters with read-only operations: discover JetStream streams and consumers, check cluster health, and inspect message flow.

Analyze single-cell RNA-seq data with Scanpy, covering quality control, normalization, clustering, marker gene identification, visualization, and trajectory analysis.