Identify Pareto-optimal points from a set of multi-objective solutions.
Skills in this repository
cxcscmu/SkillLearnBench - Page 8
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Extract and prioritize CVSS scores from multiple sources in vulnerability reports to ensure the most accurate data is used.
Use Trivy in offline mode to scan dependency files for security vulnerabilities without requiring internet access.
Generate structured CSV security audit reports from vulnerability data with proper filtering and formatting.
Using map projections to calculate real-world distances in meters or kilometers accurately.
Techniques for loading and initial processing of GeoJSON and coordinate-based datasets using GeoPandas.
Methods for filtering GeoDataFrames based on spatial relationships like containment and intersection.
Skill to extract information from the structured JSON data, including Slack messages and document metadata.
Skill to estimate the number of consumed tokens for the task.
Compare holdings between two quarters or find top holders of a specific stock.
Extract AUM, holdings count, and detailed holding information for a specific fund.
Search for fund accession numbers and stock CUSIPs using fuzzy matching.
Security considerations for Jackson JSON deserialization, specifically regarding `@JacksonInject` and unintended property overrides.
Best practices for securing JavaScript execution in Java applications using ScriptEngines like Rhino or Nashorn.
Retrieve pull request and issue data from GitHub repositories using the gh CLI with specific filters and JSON output for downstream processing.
Process JSON data from GitHub CLI using jq to calculate metrics like average merge times, counts, and top contributors.
Verifies model components like loss functions using unit tests and saves the results as NumPy archives.
Manages NLP environments, handling library dependencies like PyTorch, Transformers, and custom local packages.
Implements the Simple Preference Optimization (SimPO) loss function in PyTorch, focusing on length-normalized log probabilities and target reward margins.
Manipulate Word documents (.docx) using Python, including placeholder replacement and conditional section handling.
Efficiently organizes large numbers of files into directories.
Logic for categorizing documents into subjects based on keyword matching.
Extracts text from DOCX and PPTX documents for content analysis.
Extracts text from PDF documents for content analysis.
Mapping Python's functional tools to idiomatic Scala equivalents, including lambdas and collection methods.
Mapping standard and common libraries from Python to Scala, including datetime, decimal, and JSON.
Translating Python classes, inheritance, and generic variance to Scala equivalents.
Basic syntax and type mapping from Python to Scala, including primitive types and common control structures.
Parse duration and time constraints from email text.
Extract text and identifying colored regions (e.g., rectangles) from a PDF using pdfplumber.
Algorithm to find earliest available meeting slots given constraints and existing appointments.
Loading CSV data, formatting currency/large numbers, and implementing tooltips in D3.
Techniques for creating clustered bubble charts using D3 force simulations (v6).
Building dynamic tables with D3 and implementing bidirectional interactions with SVG elements.
A skill to process GLM NetCDF output and calculate specific RMSE metrics by merging with field observations.
A skill to edit GLM's namelist file (glm3.nml) by safely updating parameter values within specific blocks.
A skill to execute the GLM binary and manage its simulation output.
Filter CSV data (restaurants, accommodations, attractions) based on criteria like city, cuisine, budget, and pet-friendliness.
Create a JSON structure for a 7-day travel plan.
Use a distance matrix CSV to find travel time and distance between cities for self-driving trips.