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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Analyze complex tasks before implementation through four structured phases. Clarify the problem, examine dependencies and impacts, challenge assumptions, and compare alternatives to produce a decision rationale, explicit uncertainties, and actionable recommendations.
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Build queryable collections of genomic variants from VCF and BCF files, formats for recording genetic differences. Covers compressed storage, incremental sample additions, searches by genomic region or sample, and exporting subsets for further analysis.
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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.
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Diagnose and fix Claude Code plugin hook failures on Windows. Covers conflicts between WSL and Git Bash, path handling problems, and errors involving .sh arguments, using error messages and configuration files.
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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.
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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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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.
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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.
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Prepare journal papers, conference submissions, and research posters using venue-specific LaTeX templates, a document typesetting format. Customize author details and check requirements such as page limits, margins, fonts, and anonymous review formatting.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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