Stage code changes, commit them, push the branch, and open a draft GitHub pull request in one requested workflow. It also runs checks and writes a description explaining the problem, fix, user impact, and validation.
Store large multidimensional arrays in compressed chunks, small sections that can be read separately. Guides local and cloud storage, partial reads and writes, and integration with NumPy, Dask, and Xarray for scientific data workflows.
Create and edit Excel workbooks, analyze spreadsheet data, and visualize results. Preserve existing formatting, use formulas that update when inputs change, and recalculate workbooks to identify formula errors before delivering the finished files.
Create or update Codex skills that package specialized knowledge, repeatable workflows, and tool instructions. The guide covers concrete use cases, folder structure, reusable resources, starter generation, and basic validation of names and required metadata.
List available Codex skills and install selected ones from a curated collection, experimental listings, or a specified GitHub location. It also supports private repositories and marks skills that are already installed.
Process PDF documents with Python libraries and command-line tools to extract text and tables, merge or split files, fill forms, and create documents. Examples also cover scanned text recognition and exporting tables to Excel.
Create, edit, and inspect Word documents, including text extraction, formatting, comments, and tracked changes. Its review workflow marks only the text that changes, helping reviewers identify revisions while preserving unchanged content and formatting.
Create, edit, and inspect PowerPoint presentations, including slide content, layouts, speaker notes, and comments. Reuse existing templates, rearrange slides, and review thumbnail previews to check text placement, overlap, and readability.
Review existing charts for clear communication, appropriate chart types, readable labels, scales, and color choices. Get concrete suggestions for simplifying layouts, improving accessibility, and making the visualization suit its intended audience.
Guide feature changes and bug fixes through test-driven development: write a failing test, add the minimum code to pass, then improve the structure. Check coverage and include tests for boundary conditions, errors, and relevant integration points.
Turn a plain language feature request into spec.md with user stories, testable requirements, and acceptance criteria. Create a feature branch and a separate quality checklist, documenting assumptions and clarifying important gaps before planning begins.
Check whether work is ready to call complete by running relevant tests, builds, or other checks. Review fresh output and compare results with requirements, then report completion or remaining problems with supporting evidence.
Create or update a project's governing development principles, covering code quality, testing, and architectural constraints. Maintain the constitution document, record version changes, and align related planning, specification, and task templates with the revised rules.
Use UMAP to reduce data with many features into fewer dimensions for plotting or further analysis. The skill guides parameter choices, preprocessing for clustering, label-guided projections, and transforming new data with an already trained model.
Helps plan dataset splits for machine learning training, validation, and testing. Specifies ratios, random seeds, class balance rules, and time or group constraints, with guidance for handing the split to leakage review and model training.
Turn text into audio files for narration, product demos, phone prompts, or accessibility reads using the OpenAI Audio API. Choose built-in voices and delivery directions, then generate a single clip or a batch of files.
Execute an existing implementation plan in the current session by assigning each task to a fresh subagent, a separate agent handling delegated work. Each task receives a specification review followed by a code quality review, with fixes rechecked.
Write and edit Remotion documentation pages with consistent API explanations, clear headings, and TypeScript-checked code examples. Follow the project workflow to add navigation entries, generate social preview cards, and verify that documentation builds successfully.
Create finished videos from existing clips, audio, images, and copy using local FFmpeg. Remove silent pauses, embed supplied subtitles, adjust volume, and prepare video dimensions and encoding for Shorts, Reels, or TikTok.
Process large CSV and TSV files from the terminal with filtering, sorting, deduplication, grouping, and joins. The skill uses xan CLI, a command-line tool, for streaming workflows that keep memory use low.
Build a planned feature by following an existing task list and technical plan. The skill respects task dependencies, runs tests before related implementation where applicable, records progress, and checks the completed work against the specification.
Set up W&B to record machine learning metrics and settings, visualize training progress, and compare experiments. Includes automated searches for training settings, version tracking for datasets and models, and shared reports for team collaboration.
Turn speech from audio or video recordings into text using OpenAI. Save transcripts as text or JSON, with optional speaker labels and reference recordings to help identify known speakers in meetings or interviews.
Organize paper or report submissions with stage-specific checklists and templates. Link checks to actual files, prepare cover letters, and track each reviewer comment alongside the response, revision, and location of the change.
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