Develop workflows for satellite imagery and geographic data, using guidance and code examples to calculate vegetation indicators, classify land cover, analyze terrain, and find road routes. Covers GIS, software for working with location-based information, and spatial machine learning.
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Find the right code for Roo Code evaluations, which test AI coding tasks. This skill explains the execution system, management interface, and public results page, helping agents identify where changes and debugging work belong.
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Edit and compare phylogenetic trees, diagrams showing evolutionary relationships. Use ETE to identify gene duplication and speciation events, add NCBI taxonomy information, and export annotated tree figures as PDF, SVG, or PNG files.
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Consult an archived reference for classifying errors, reading stack traces, investigating root causes, and recording reusable fixes. Retained for migration, it documents a debugging process while directing current bug investigation to systematic-debugging.
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Evaluate trained machine learning models using metrics suited to the task. Compare candidates consistently, review decision thresholds and probability estimates, and identify weaknesses in validation before deployment or publication.
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Explore scientific data across more than 200 file formats to understand its structure, contents, and quality. Produce Markdown reports with statistical summaries, format-specific findings, and recommendations for preprocessing, visualization, and further analysis.
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Search and summarize public FDA data through openFDA using Python. Retrieve adverse event reports, recalls, drug labels, device approvals, and substance identifiers to support safety research, regulatory analysis, and comparisons across products or time periods.
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Turn Figma screens and components into code that follows an existing project's conventions. The workflow retrieves design details and assets, reuses existing components, and checks the resulting interface against Figma screenshots.
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Organize scattered files by type, purpose, or date, find duplicates, and review older material. Get a proposed folder structure, then approve file moves and renaming, with confirmation required before any deletion.
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Search local VCO/vibe documentation, configuration, and skill descriptions for evidence behind rules or recommendations. Retrieve ranked excerpts with file paths and line numbers so explanations can point directly to the supporting source passages.
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Set up and run fluid dynamics simulations in Python to study turbulence, vortices, shallow water, and layered flows. Covers choosing equation solvers, configuring parameters, parallel execution, and plotting fields and energy spectra.
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Find and retrieve economic indicators from FRED, including GDP, unemployment, inflation, and interest rates. Supports comparisons across periods, changes in reporting frequency, historical releases before revisions, regional data, and publication schedules for economic research.
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Implement, customize, and debug legends in G2 charts with guidance on rendering, layout calculations, and user interactions. Understand category and continuous legends, adjust their appearance, and investigate sizing or filtering problems.
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Generate photos, illustrations, concept art, and presentation assets from text, or edit existing images with specific instructions. Choose among supported OpenRouter models and save the result as a PNG file at a specified location.
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Turn raw test results into readable reports with pass and fail totals, unstable tests, and coverage, meaning how much code tests exercise. Package results for releases, quality assurance, or reviews, with follow-up actions.
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Search NCBI GEO for gene expression studies, retrieve experiment details and expression tables, and prepare public datasets for analysis. Includes workflows for data quality checks, comparisons between sample groups, and expression summaries across studies.
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Work with geographic points, lines, and areas in Python. Read spatial files, combine datasets by location, calculate areas and distances, transform coordinate systems, and export results as maps or converted files.
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Check CPU cores, GPUs, available memory, and disk space before demanding computing tasks. Save a JSON report with recommendations for parallel workers, GPU use, and processing data in chunks when memory is limited.
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Handle review and discussion comments on the open GitHub pull request for the current branch. Collect comments, number and summarize the requested changes, then apply fixes for the comments the user chooses using the GitHub CLI.
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Investigate failed pull request checks in GitHub Actions using the GitHub CLI. The skill gathers logs, summarizes failures, proposes a repair plan, and applies changes after explicit approval, with a summary of changes and tests.
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Work through optimization problems using gradients, which indicate how a function changes. The skill guides method selection, step size choices, and convergence checks, with SciPy examples for conjugate gradient and BFGS methods.
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Retrieves aggregated hedge fund time series from the public OFR API for research on industry size, leverage, counterparty concentration, and liquidity. It supports finding datasets, comparing series, and downloading data without an API key.
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Coordinate multiple AI agents under a lead coordinator for research, development, and review. Assign specialized roles, use voting to make shared decisions, preserve collective knowledge, and pause or resume work through managed sessions.
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Develop testable scientific hypotheses from observations, preliminary data, and published evidence. The skill compares competing explanations, defines measurable predictions, proposes experiments, and organizes evidence and decision criteria into a structured research report.
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