QingFeng Li

Evaluate trained machine learning models using metrics suited to the task. Compare candidates consistently, review decision thresholds and probability estimates, and identify weaknesses in validation before deployment or publication.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare candidate models using consistent metrics
• Review tradeoffs between decision thresholds
• Check whether predicted probabilities match observed outcomes

Explore scientific data across more than 200 file formats to understand its structure, contents, and quality. Produce Markdown reports with statistical summaries, format-specific findings, and recommendations for preprocessing, visualization, and further analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspecting unfamiliar scientific data files
• Checking missing values and data quality
• Reviewing sequence or microscopy data before analysis

Turn Figma screens and components into code that follows an existing project's conventions. The workflow retrieves design details and assets, reuses existing components, and checks the resulting interface against Figma screenshots.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing a button from a Figma design
• Building a dashboard from a Figma frame
• Extending existing components to match a design

Organize scattered files by type, purpose, or date, find duplicates, and review older material. Get a proposed folder structure, then approve file moves and renaming, with confirmation required before any deletion.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sorting a cluttered Downloads folder
• Finding duplicates and choosing which copies to keep
• Separating active projects from archived work

Search local VCO/vibe documentation, configuration, and skill descriptions for evidence behind rules or recommendations. Retrieve ranked excerpts with file paths and line numbers so explanations can point directly to the supporting source passages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding the source of a VCO rule
• Explaining why a skill pack was selected
• Checking configuration thresholds and their meaning

Set up and run fluid dynamics simulations in Python to study turbulence, vortices, shallow water, and layered flows. Covers choosing equation solvers, configuring parameters, parallel execution, and plotting fields and energy spectra.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Simulate two-dimensional turbulence and vortices
• Study oceanic or atmospheric flows with density layers
• Compare simulation results across viscosity settings

Find and retrieve economic indicators from FRED, including GDP, unemployment, inflation, and interest rates. Supports comparisons across periods, changes in reporting frequency, historical releases before revisions, regional data, and publication schedules for economic research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare trends in GDP, prices, and interest rates
• Check economic figures as originally reported
• Retrieve upcoming economic data release dates

Generate photos, illustrations, concept art, and presentation assets from text, or edit existing images with specific instructions. Choose among supported OpenRouter models and save the result as a PNG file at a specified location.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating backgrounds and illustrations for presentations
• Generating images for websites and marketing materials
• Changing backgrounds or elements in existing images

Turn raw test results into readable reports with pass and fail totals, unstable tests, and coverage, meaning how much code tests exercise. Package results for releases, quality assurance, or reviews, with follow-up actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing test reports for a release
• Turning pytest or JUnit output into a readable summary
• Sharing coverage and quality-gate status

Check CPU cores, GPUs, available memory, and disk space before demanding computing tasks. Save a JSON report with recommendations for parallel workers, GPU use, and processing data in chunks when memory is limited.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking memory before analyzing large datasets
• Identifying available GPUs before model training
• Choosing worker counts for parallel file processing

Analyze genomic regions with gtars using Python or command-line tools. Find overlaps, generate coverage tracks showing read density, prepare regions as tokens for machine learning, and split single-cell fragment data for further analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding overlaps between peaks and promoter regions
• Generating BigWig coverage tracks from sequencing fragments
• Converting genomic regions into tokens for machine learning

Prepare pathology image datasets by detecting tissue in whole slide images and extracting smaller image tiles. Use random, grid, or score-based selection, preview extraction locations, and apply preprocessing filters to review and prepare the resulting tiles.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sampling tissue regions for an initial review
• Extracting tiles across tissue in a grid
• Selecting tiles by nuclei density scores

Coordinate multiple AI agents under a lead coordinator for research, development, and review. Assign specialized roles, use voting to make shared decisions, preserve collective knowledge, and pause or resume work through managed sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Divide application development among specialized agents
• Compare technical options through research and voting
• Coordinate code reviews from several perspectives

Develop testable scientific hypotheses from observations, preliminary data, and published evidence. The skill compares competing explanations, defines measurable predictions, proposes experiments, and organizes evidence and decision criteria into a structured research report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Developing hypotheses from preliminary data
• Comparing competing explanations for a phenomenon
• Designing experiments to distinguish hypotheses

Write Python tests with Hypothesis that generate varied inputs and check properties, rules that should always hold. Discover edge cases, reduce failures to simpler examples, and save failing inputs for replay alongside conventional tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding edge cases in parsers and input handling
• Checking mathematical properties across many inputs
• Testing data encoding and decoding round trips

Generate and edit images through the OpenAI Image API using a bundled command-line script. Create product shots, illustrations, and covers, replace backgrounds, remove objects, produce transparent images, or generate batches of variations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating product photos and website images
• Replacing backgrounds or removing objects
• Making transparent cutouts

Learn how to organize the instructions, conversation history, documents, and tool results an AI agent receives. Explains context limits and loading information as needed, helping you review agent designs and investigate behavior caused by poorly managed context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learning how context windows work
• Reviewing instructions and document loading in agent designs
• Investigating unexpected behavior in long conversations

Develop articles, blog posts, and newsletters with help researching sources, building outlines, strengthening openings, and reviewing each section. Preserve the writer’s voice while refining structure, clarity, supporting evidence, and citation formatting across successive drafts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an outline for an article or blog post
• Research evidence and organize citations
• Improve an article’s opening

Guide multi-step research with source checks, comparisons across sources, and recovery from tool errors. The skill tracks retrieved evidence and unresolved gaps so reports show what supports their claims and what remains unverified.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check evidence across multiple sources
• Recover from failed searches or page retrievals
• Track retrieved sources and supporting claims

Turn development errors and debugging attempts into a structured Chinese report covering causes, fixes, and prevention steps. Create a Git commit that references the report, and update an index for later review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Documenting how a complex bug was fixed
• Reviewing repeated debugging attempts during feature development
• Recording architectural lessons from refactoring

Learn programming through tutorials tailored to your experience, goals, and actual project code. Keep a shared learning history across projects, record questions, and use quizzes with spaced review to revisit concepts based on demonstrated understanding.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learning concepts through code from an existing project
• Choosing what to study next based on previous learning
• Reviewing weak concepts through quizzes

Look up how genetic differences affect medication response using ClinPGx. Retrieve gene–drug relationships, clinical guidelines, genetic variant functions, and drug labels to gather evidence for research and reviews of genotype-based dosing recommendations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate gene–drug relationships
• Review guidelines for genotype-based dosing
• Compare genetic variant frequencies across populations

Draft case reports, diagnostic reports, clinical trial reports, and patient records using document-specific structures and templates. The skill guides completeness checks, patient de-identification, and documentation aligned with named clinical reporting guidelines and regulatory frameworks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting case reports for journal submission
• Organizing radiology, pathology, and laboratory reports
• Preparing clinical trial and serious adverse event reports

Creates LaTeX/PDF reports for pharmaceutical and clinical research. Compares patient groups by biomarkers, measurable biological indicators, and prepares treatment recommendation documents with evidence ratings, statistical results, and decision flowcharts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing outcomes across biomarker-defined patient groups
• Preparing treatment recommendations with evidence ratings
• Creating flowcharts for biomarker-guided treatment selection