cxcscmu/SkillLearnBench - 4ページ

d3-force-bubble-chart

Create force-simulation bubble charts with D3.js v6, including sector clustering, collision avoidance, tooltips, and legends.

原文の言語: 英語

glm-calibration

Calibration strategy for GLM lake temperature simulations, including parameter sensitivity and typical ranges.

原文の言語: 英語

glm-setup

Running the General Lake Model (GLM) and understanding its NML configuration file format.

原文の言語: 英語

netcdf-analysis

Reading and analyzing GLM NetCDF output with Python netCDF4 and pandas for RMSE evaluation.

原文の言語: 英語

itinerary-budget-planning

Planning multi-city travel itineraries with budget constraints, route optimization, and cuisine diversity.

原文の言語: 英語

pet-friendly-filtering

Filtering accommodations for pet-friendly stays by analyzing house_rules field in accommodation data.

原文の言語: 英語

travel-data-querying

Querying travel planning datasets (cities, restaurants, accommodations, attractions, distances) for itinerary generation.

原文の言語: 英語

ffmpeg-keyframes

Extract key frames (I-frames) from video files using FFmpeg for analysis and processing.

原文の言語: 英語

opencv-grayscale

Convert images from RGB/BGR to grayscale using OpenCV and save in-place.

原文の言語: 英語

opencv-template-matching

Count occurrences of a template object in an image using OpenCV template matching with non-maximum suppression.

原文の言語: 英語

excel-index-match

Using INDEX/MATCH formulas in Excel for two-condition lookups across sheets.

原文の言語: 英語

excel-statistics-formulas

Excel statistical functions (MIN, MAX, MEDIAN, AVERAGE, PERCENTILE, SUMPRODUCT) with ROUND.

原文の言語: 英語

openpyxl-formula-editing

Editing existing Excel files with openpyxl while preserving formatting and adding formulas.

原文の言語: 英語

anthropic-brand-tokens

Anthropic official brand color palette, typography standards, and design tokens for consistent brand application.

原文の言語: 英語

exploded-view-illustration

Techniques for drawing isometric or orthographic exploded-view hardware diagrams programmatically using Pillow, with annotation leader lines and layer separation.

原文の言語: 英語

pillow-technical-diagrams

Create technical poster and diagram images using Pillow (PIL), including shapes, text, lines, and layered composition.

原文の言語: 英語

chinese-classical-poetry

How to compose a seven-character regulated verse (七言律诗) in Classical Chinese, including tonal patterns, rhyme schemes, and structural requirements.

原文の言語: 英語

california-small-claims

How to fill out the California Small Claims Court SC-100 form, including field mapping and required vs. optional fields.

原文の言語: 英語

dbscan-custom-metric

Run DBSCAN clustering with a custom distance metric using sklearn, including how to define weighted Euclidean metrics and extract cluster centroids.

原文の言語: 英語

parallel-grid-search

Parallelize hyperparameter grid searches using joblib for CPU-bound tasks like DBSCAN clustering evaluation loops.

原文の言語: 英語

pareto-optimization

Compute Pareto-optimal frontiers from multi-objective optimization results, including dominance checking and frontier extraction.

原文の言語: 英語

cvss-score-extraction

Extract CVSS scores from Trivy vulnerability data with proper source priority fallback (NVD > GHSA > RedHat).

原文の言語: 英語

trivy-offline-vulnerability-scanning

Use Trivy vulnerability scanner in offline mode to discover security vulnerabilities in dependency files without internet access.

原文の言語: 英語

vulnerability-csv-reporting

Generate structured CSV security audit reports from Trivy JSON vulnerability data with severity filtering and proper field mapping.

原文の言語: 英語

geopandas-distance-analysis

Calculate distances between geospatial points and boundaries using GeoPandas with proper metric projections (EPSG:4087).

原文の言語: 英語

plate-tectonics-spatial

Work with PB2002 plate boundary and polygon data to identify plate membership and boundary distances for earthquakes.

原文の言語: 英語

usgs-earthquake-geojson

Parse and work with USGS earthquake GeoJSON data, extracting IDs, magnitudes, coordinates, times, and place descriptions.

原文の言語: 英語

enterprise-data-retrieval

Techniques for retrieving and querying structured enterprise data from JSON files containing slack messages, documents, meeting transcripts, and URLs.

原文の言語: 英語

json-data-analysis

Python patterns for analyzing large JSON datasets to find specific information, track tokens, and write answers in the required format.

原文の言語: 英語

fuzzy-fund-search

Fuzzy search SEC 13-F COVERPAGE.tsv to find fund names and accession numbers by approximate name matching.

原文の言語: 英語

holdings-comparison

Compare fund holdings between two quarters (Q2 vs Q3) to identify increased/decreased positions by dollar value or share count.

原文の言語: 英語

sec-13f-analysis

Parse and analyze SEC 13-F filing TSV datasets to extract AUM, holdings count, and fund details by accession number.

原文の言語: 英語

apache-druid-security

Security patching for Apache Druid - covers JavaScript execution vulnerabilities, sampler endpoint protection, and filter validation patterns.

原文の言語: 英語

jackson-injection-security

Security considerations for Jackson @JacksonInject - preventing JSON input from overriding injected values, covering CVE patterns and defense strategies.

原文の言語: 英語

java-patch-workflow

Workflow for creating and applying patches to Java projects - diff format, patch application, and Maven rebuilds for security fixes.

原文の言語: 英語

github-api-pagination

How to use `gh api` with pagination to retrieve all results from GitHub REST API endpoints, including PRs and issues.

原文の言語: 英語

github-issue-analysis

Analyze GitHub issues for a date range, counting totals, bug reports (by label substring), and closed bug reports.

原文の言語: 英語

github-pr-stats

Compute PR statistics (total, merged, closed, avg merge time, top contributor) from GitHub API data using Python or jq.

原文の言語: 英語

pytorch-preference-optimization

Guide for implementing preference optimization methods (DPO, SimPO, IPO) in PyTorch. Use when implementing loss functions for RLHF-style training.

原文の言語: 英語

simpo-loss

Implements the SimPO (Simple Preference Optimization) loss function from the paper "SimPO: Simple Preference Optimization with a Reference-Free Reward". Use this when implementing or understanding SimPO training objectives.

原文の言語: 英語