QingFeng Li

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Browse available skills and see which are already installed
• Install a named skill from the curated collection
• Explore and install experimental skills

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning recurring work into a reusable skill
• Packaging company knowledge and API instructions
• Reorganizing an existing skill and its reference files

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a new PowerPoint presentation
• Building slides from an existing template
• Replacing text and rearranging slides

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a new Word document
• Reviewing documents with tracked changes
• Extracting text and revisions for inspection

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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• Creating sales summaries with formulas
• Updating existing Excel templates
• Analyzing and visualizing Excel or CSV data

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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• Processing arrays larger than available memory
• Reading and writing array subsets on S3 or GCS
• Appending new time steps to scientific datasets

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting PDF tables into Excel
• Merging documents or splitting selected pages
• Recognizing text in scanned PDFs

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Commit changes, push them, and open a draft pull request
• Create a working branch when starting from the default branch
• Run checks before sharing changes for review

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording and visualizing training metrics
• Comparing experiments with different training settings
• Automatically searching for better training settings

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnosing SessionStart or Stop hook errors
• Investigating cannot execute binary file errors
• Troubleshooting WSL and Git Bash conflicts

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing a feature from an existing task breakdown
• Developing with tests before the related implementation
• Tracking completed tasks and checking the final result

Forecast sales, sensor readings, and other single-variable time series with Google's TimesFM, without training a custom model. Accept CSV files, DataFrames, or arrays and obtain forecast values with prediction intervals that express uncertainty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Forecast monthly sales from a CSV file
• Forecast demand across multiple stores
• Plot sensor forecasts with prediction intervals

Check code and agent outputs, track reliability scores, and roll back changes that fail a chosen threshold. Includes quality reports, live monitoring, and integration with automated build and deployment workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking code produced by AI agents
• Rolling back changes that fail verification
• Tracking quality trends over time

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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• Execute independent tasks from an existing implementation plan
• Assign each task to a fresh implementation subagent
• Review specification compliance before code quality

Search UniProt for proteins by name, gene, or organism and retrieve sequences and functional annotations. Supports FASTA, a text format for sequences, identifier conversion between databases, batch retrieval, and downloads of large result sets through its REST API.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Search proteins by gene name and organism
• Retrieve protein sequences in FASTA format
• Convert identifiers between UniProt and other databases

Use pre-trained models with Hugging Face Transformers for text generation, translation, image recognition, and speech tasks. Load models, prepare inputs, run predictions, and fine-tune them, meaning further training with your own data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prototyping text classification, summarization, or translation
• Building image recognition or speech recognition workflows
• Adjusting text generation settings

Search US patent and trademark records through USPTO APIs. Retrieve examination histories, citations, ownership transfers, and registration status to support prior art research, meaning searches for earlier inventions, and analysis of company patent and trademark holdings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Searching for prior art on a technology
• Reviewing a patent's examination history
• Checking trademark status and ownership

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a manuscript before submission
• Organizing submission files and cover letters
• Tracking responses to reviewer comments

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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• Clarifying requirements before implementation
• Comparing options and their tradeoffs
• Anticipating failures before work begins

Organize code and data projects into clear folders with documented workflows, data fields, dependencies, and changes. The skill guides new machine learning and data processing scripts, while preserving existing project structure during modifications.

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• Creating a documented machine learning training project
• Organizing data cleaning code and field definitions
• Updating scripts while preserving project structure

Guides statistical analysis in Python, including regression, time series forecasting, and hypothesis tests. Helps interpret estimates and uncertainty, check model assumptions, investigate influential observations, compare models, and produce statistical tables for reporting.

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• Interpreting regression coefficients and confidence intervals
• Forecasting time series with prediction intervals
• Checking model assumptions and influential observations

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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• Building a variant database for a research cohort
• Adding samples to an existing dataset
• Extracting variants for selected regions and samples

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a manuscript for a specific journal
• Checking conference formatting and anonymity requirements
• Choosing a research poster template

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing whether an existing chart communicates clearly
• Fixing chart labels, legends, and scales
• Checking colors and accessibility