QingFeng Li

Search current web information and recent scientific literature with Perplexity through OpenRouter and LiteLLM. Get answers with source citations, choose models for different research needs, and save results as JSON for further use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find recent scientific papers
• Verify claims with cited sources
• Compare current technologies and approaches

Automate a real browser from the terminal to navigate pages, fill forms, extract data, and investigate interface problems. Use page snapshots to identify controls, and capture screenshots or traces, records of browser activity, for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automate form filling and submission
• Extract information from web pages
• Investigate UI flows with screenshots and traces

Create interactive charts in Python for exploring scientific, statistical, geographic, and financial data. Choose quick plotting or detailed customization, add hover details and zoom controls, and export results as interactive HTML or static images.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring measurement relationships with scatter plots
• Comparing distributions across groups
• Inspecting time series with a range slider

Implement filtering, aggregation, joins, and file processing with Polars for tabular data that fits in memory. Use lazy evaluation, which optimizes operations before running them, and parallel execution to improve pipelines and migrate pandas code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Migrate slow pandas processing to Polars
• Filter and aggregate CSV or Parquet data
• Join multiple tables and reshape results

Create research posters intended for PowerPoint using HTML and CSS templates. Arrange large visuals and concise text, preview the layout in a browser, and follow PDF export or PPTX creation steps with readability and overflow checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating research posters for PowerPoint
• Previewing and adjusting poster layouts in a browser
• Arranging large figures with concise research findings

Find and retrieve AI prompt templates through prompts.chat, filtering by keywords, categories, tags, or media type. Improve existing prompts for text, image, video, or sound tasks, with an explanation of the changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find prompt templates for code reviews
• Browse prompts for writing tasks
• Retrieve a specific prompt by ID

Build tests with fast-check for TypeScript and JavaScript or Hypothesis for Python. Generate varied inputs to check rules code should always satisfy, discover edge cases, and simplify failing inputs into small examples for debugging.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking that encoding and decoding restore the original data
• Testing rules that sorting must preserve
• Generating inputs with complex constraints

Analyze propositional formulas and arguments using truth tables, deduction rules, and branching proof trees. Classify formulas as always true, always false, or dependent on their inputs, and check whether an argument follows from its premises.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classifying formulas with truth tables
• Checking whether a formula can be true
• Verifying arguments with deduction rules

Turn existing logs, measurements, or user reports into a prioritized performance improvement plan. It ranks frontend, backend, database, and infrastructure changes by expected impact and effort, and suggests validation steps for checking whether improvements worked.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritizing website loading improvements
• Planning database query optimization
• Organizing API response time improvements

Search biomedical literature in PubMed using combined conditions and MeSH, its standardized subject terms. Build search strategies, retrieve abstracts and citation records through the REST API, and export results for reference management or analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a literature search for a systematic review
• Filter papers by author, date, or study type
• Retrieve abstracts and citation records in batches

Build and train reinforcement learning agents, which learn actions through rewards. The skill guides custom environment creation, parallel simulation tuning, integration with existing environments, and policy development for image or sequential observations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train agents in existing reinforcement learning environments
• Create custom simulation environments
• Tune parallel simulations for higher throughput

Analyze bulk RNA-seq counts in Python to find genes whose expression differs between conditions. Prepare data, account for batch effects, adjust statistical results for multiple testing, and export tables with volcano or MA plots.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing gene expression between treatment and control
• Accounting for batch effects or age in expression analysis
• Moving R-based DESeq2 workflows to Python

Work with DICOM, a standard medical imaging format, in Python. Read and edit scan metadata, extract image pixels, anonymize patient information, convert scans to common image formats, and process compressed files or image series.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting and editing DICOM metadata
• Anonymizing scans for research sharing
• Converting DICOM images to PNG or JPEG

Use pymoo in Python to optimize competing goals such as cost and performance under constraints. Find and visualize trade-off solutions, compare algorithms, and select candidates according to preferred priorities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing designs with competing cost and performance goals
• Finding solutions that satisfy constraints
• Comparing algorithms on standard benchmark problems

Use LaminDB to organize biological datasets, search their metadata, and track how analyses produce results. Standardize annotations with biological vocabularies, validate data structures, and record versions and computational history for reproducible research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Standardizing cell type annotations in single-cell data
• Searching datasets across multiple experiments
• Tracing analysis results back to their inputs and code

Turn written instructions into infographics for statistics, comparisons, timelines, and more. Choose layouts and color palettes, optionally research supporting facts, and receive versioned images with automated quality reviews and refinement when scores fall below the chosen threshold.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning survey results into a statistical infographic
• Creating a side-by-side product comparison
• Visualizing company history or project milestones

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify gaps in existing quality management documents
• Draft a quality manual and operating procedures
• Organize documentation for each medical device family

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a notebook for an experiment
• Turning scripts or notes into a structured notebook
• Creating a step-by-step teaching notebook

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building and deploying RNA-seq analysis pipelines
• Moving Nextflow or Snakemake pipelines to Latch
• Tracking sample data and results in Registry

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a conference poster at the required size
• Turning a research paper into a poster
• Improving an existing poster's layout and readability

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a literature review for a paper or thesis
• Compare research findings on a specific topic
• Identify gaps and future research directions

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assigning consistent reviewer roles when using /vibe
• Reviewing bugs, architecture, integration, and usability together
• Combining findings by severity into shared decisions

Develop and review machine learning approaches through at least three rounds of critique and refinement. Compare models with simple reference predictions, question data assumptions, and investigate overfitting, feature choices, and evaluation methods before accepting a solution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing model choices with simple reference predictions
• Investigating gaps between training and test performance
• Reviewing feature choices and data leakage risks

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing files for collaborative manuscript writing
• Tracking changes across submissions and revisions
• Reproducing figures from code, data, and fixed parameters