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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Prepare documentation for a medical device quality management system under ISO 13485. Review existing documents for gaps, draft quality manuals and procedures, and organize device files with prioritized actions for certification preparation.
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Retrieve company filings from the SEC, the US securities regulator, using Python. Extract financial statements, insider transactions, and institutional holdings to research companies and compare financial data across reporting periods.
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Create and revise research posters in LaTeX, a document typesetting system. Arrange columns, text, existing figures, and QR codes, then check page dimensions, font embedding, image resolution, and readability before printing.
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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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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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Prepare LaTeX manuscripts for submission by applying publication templates, managing references, fixing compilation problems, and setting up automated PDF builds. The workflow also covers formatting checks and packaging submission files into a zip archive.
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Write Python tests with Hypothesis that generate varied inputs and check properties, rules that should always hold. Discover edge cases, reduce failures to simpler examples, and save failing inputs for replay alongside conventional tests.
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Generate and edit images through the OpenAI Image API using a bundled command-line script. Create product shots, illustrations, and covers, replace backgrounds, remove objects, produce transparent images, or generate batches of variations.
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Create and refine Jupyter notebooks for experiments, exploratory analysis, or tutorials. Bundled templates help organize runnable code and short explanations into clear steps, while validation guidance supports notebooks that others can read and rerun.
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Build and deploy biological data analysis pipelines on Latch using Python, Nextflow, or Snakemake. The skill also guides cloud file management, sample tracking, and CPU, memory, and GPU settings for individual processing tasks.
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Organize manuscript text, figures, and references with version control and repeatable builds. Track how each figure was produced, separate source files from generated outputs, and use automated checks to prepare submission artifacts.
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Search multiple academic databases, screen papers against defined criteria, and compare findings by theme. Produce literature reviews in Markdown and PDF, with documented search methods, study quality assessments, and verified citations in a consistent style.
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Organize multi-agent reviews with defined roles for bugs, architecture, integration, and usability. Designed for local Codex workflows with vibe, it combines findings by severity into a shared set of keep, simplify, or remove decisions.
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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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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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Build automated data checks with Great Expectations and dbt to detect missing values, duplicates, invalid ranges, and stale records. Define data contracts, shared agreements on data structure and quality, and summarize validation results across tables.
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Investigates existing code before feature work, bug fixes, or refactoring. Finds similar implementations, reusable helpers, naming rules, and data handling patterns so proposed changes follow the project's established conventions.
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Turn a coding request into a concise, ordered plan after reviewing project documentation and relevant files. The result defines scope, lists concrete actions, and includes validation, risks, and unresolved questions without changing files.
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Turn analytical findings into reports and presentations that explain what the numbers mean and what to do next. Structure the narrative, choose clear visual comparisons, highlight key findings, and communicate uncertainty to audiences without technical expertise.
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Clean up AI-written code by reviewing branch changes against main. Remove unnecessary comments, excessive defensive checks, and casts that bypass type issues, while preserving legitimate changes and matching the surrounding code style.
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Design backend systems with clear boundaries between business rules, databases, and external services. Use Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to organize new applications, refactor existing code, and make core logic easier to test.
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Work with DNA, RNA, and protein sequences in Python. Read and convert biological files, compare sequences, search for similar sequences with BLAST, retrieve NCBI records, analyze protein structures, and build or visualize evolutionary trees.
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Search ChEMBL for compounds by name, chemical structure, or properties. Retrieve biological activity measurements, target information, and drug mechanisms to investigate inhibitors and compare how structural differences relate to measured activity.
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