QingFeng Li

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

Create concise medical treatment plans in LaTeX and PDF, covering goals, interventions, timelines, and monitoring. Templates support chronic disease care, rehabilitation, mental health, and perioperative care, with a first-page summary and diagrams showing care pathways.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Documenting goals and monitoring for chronic disease care
• Organizing rehabilitation stages and progress measures
• Preparing mental health treatment plans

Analyze research data with suitable statistical tests, regression, correlation, or Bayesian methods. Check assumptions, estimate effect sizes and uncertainty, plan sample sizes, and prepare figures, tables, and reports following APA academic reporting conventions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing statistical tests for research data
• Checking analysis assumptions and alternative methods
• Estimating sample sizes before collecting data

Retrieve U.S. federal financial data from the Treasury Fiscal Data API, a public data service. Filter debt, revenue, spending, interest rates, and exchange rates by date or field to prepare records for analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Track changes in U.S. federal debt
• Collect monthly revenue and spending data
• Retrieve Treasury interest rates and exchange rates

Write and review release notes for Visual Studio Code Insiders and Stable releases. Organize closed issues by date, summarize changes with issue links, maintain the table of contents, and prepare Stable notes from templates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarize Insiders updates by date
• Create initial Stable release notes
• Update the table of contents and issue links

Work with mathematical formulas in Python to solve equations, calculate derivatives and integrals, and manipulate matrices. Keep exact results using symbols, then turn expressions into executable code or formatted LaTeX equations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Solve equations while keeping variables and exact values
• Calculate derivatives, integrals, and limits
• Find matrix eigenvalues and inverses

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create narration from an explainer script
• Generate a voiceover for a product demo
• Produce a batch of phone menu prompts

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

Turn user data and interviews into research-backed personas, or representative user profiles. The toolkit also supports mapping user journeys, planning usability tests, and combining research findings to guide and validate design decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating personas from user data and interviews
• Mapping the steps of a customer journey
• Planning usability tests to validate a design

Turn a feature specification into a technical implementation plan. Organizes technology choices, research decisions, data models, and interface agreements into project files, while checking that the design follows the project's documented principles.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a technical plan from a feature specification
• Resolve open questions about technology choices
• Document data models and external interfaces

Review papers, research proposals, and literature reviews with the ScholarEval framework. Assess research questions, methods, analysis, writing, and references, then produce evidence-based feedback with prioritized improvements and optional scores for each relevant dimension.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review a paper before journal or conference submission
• Assess research questions and methodology
• Evaluate the coverage and synthesis of a literature review

Draft and revise scientific manuscript prose from research notes and results. Organize sections, write abstracts and figure captions, integrate citations, and refine terminology and clarity while following study reporting guidelines and journal requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning research notes into manuscript sections
• Writing an abstract within journal word limits
• Refining captions and integrating citations

Use RDKit in Python to read molecular structures, calculate properties such as molecular weight, find similar compounds or specific structural features, and generate molecular drawings and 3D coordinates for chemistry research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Calculating properties for a list of molecules
• Finding compounds similar to a reference molecule
• Filtering molecules by a specific structural feature

Plan experiments, analyze data, and build and evaluate predictive models. The skill also covers explaining findings to stakeholders and designing production workflows for model deployment, monitoring, and retraining to support business decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing experiments and A/B tests
• Preparing model inputs and evaluating predictions
• Planning model deployment and monitoring

Automates computational chemistry through Rowan's Python API, including molecular property prediction, structure optimization, and protein–ligand binding predictions. Submits cloud calculations, handles batches of molecules, tracks workflow status, and retrieves results without a local compute cluster.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Batch prediction of molecular pKa values in Rowan
• Optimizing molecular structures and comparing conformers in Rowan
• Predicting protein–ligand binding and complex structures in Rowan

Design and improve prompts and structured responses for AI applications. The skill also guides evaluation, retrieval augmented generation, which uses retrieved material to inform answers, and agent architecture, with references and scripts for production workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving prompts and response formats
• Evaluating answers based on retrieved documents
• Designing AI agent systems

Guides single-cell RNA-seq analysis, which examines gene activity in individual cells. Covers data loading, quality checks, clustering, marker genes, cell type annotation, and plots, with AnnData handling and scVI/scANVI workflow planning.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking and filtering single-cell RNA-seq data
• Visualizing cell groups with UMAP or t-SNE
• Finding marker genes and annotating cell types

Build Python simulations with SimPy to study queues and shared resources such as machines, staff, or servers. Model events over time, measure waiting times and utilization, and compare capacity choices.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare service waiting times under different staffing levels
• Measure machine utilization on a production line
• Model inventory flows between producers and consumers

Create scientific plots for manuscripts with consistent layouts, accessible colors, and error bars showing uncertainty. Use matplotlib, seaborn, or plotly to prepare multi-panel figures and export files with publication-specific sizes and resolution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare figures for journal submission
• Arrange multiple plots with consistent styling
• Improve color and grayscale readability

Manage Zotero reference libraries through Python: search, create, update, and delete records, organize collections and tags, upload PDF attachments, and export citation data for research workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Searching and organizing a reference library
• Adding references and updating bibliographic details
• Uploading PDF attachments to references

Build research slides from text sources using Slidev, Marp, Reveal.js, or Quarto. Keep source files manageable, reuse exported figures, and produce reproducible PDF presentations with a clear sequence and one conclusion per slide.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Manage research slide versions as text
• Reuse original figures without screenshots
• Connect reports and slides through Quarto

Prepare code review requests with an implementation summary, requirements, and the exact Git commit range. Assemble reviewer instructions and organize follow-up actions by severity after a feature is completed or before changes are merged.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Requesting a review after completing a feature
• Preparing review materials before merging changes
• Getting a fresh perspective on a difficult bug

Create statistical charts in Python with seaborn to explore distributions, compare groups, and examine relationships between variables. Build scatter plots, heatmaps, regression charts, and multi-panel figures, then adjust styling and export figures for reports or publications.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring data distributions and outliers
• Comparing measurements across groups
• Visualizing correlations with a heatmap

Build production systems for machine learning models, from deployment to monitoring and retraining. The skill also guides LLM integration and retrieval augmented generation, which uses retrieved information to support answers, with scripts and architecture references.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying machine learning models to production
• Setting up model monitoring and retraining
• Building applications that answer using retrieved information