cxcscmu/SkillLearnBench - Page 24

spatial-distance-to-boundary

Calculate the shortest distance between points (earthquakes) and a complex line geometry (plate boundaries).

enterprise-data-parsing

Strategies for reading and indexing diverse enterprise data formats located in a flat directory or specific path.

formatted-json-answer-generation

Generating a JSON output file with specific requirements for list-based answers and numeric token counts.

question-file-processing

How to parse key-value pairs from a text file where keys and question values are stored together.

token-usage-tracking

Methods for calculating or retrieving the number of tokens consumed during an LLM inference task.

analyze-fund-holdings-and-aum

Retrieve a fund's AUM, stock holding counts, or compare investment changes between two quarters.

analyze-stock-ownership

Identify and rank the top fund managers holding a specific stock CUSIP in a given quarter.

search-fund-accession-number

Fuzzy search the COVERPAGE data to find the specific accession_number for a hedge fund in a given quarter.

search-stock-cusip

Find the CUSIP (Committee on Uniform Securities Identification Procedures) identifier for a specific company or stock.

druid-jackson-parameter-mapping-fix

Securing Jackson deserialization in Druid to prevent user-supplied JSON keys from overriding system-injected security configurations.

druid-javascript-vulnerability-locator

Systematic identification of all Apache Druid components utilizing JavaScript to ensure comprehensive patching of CVE-2021-25646.

druid-patch-rebuild-procedure

Creating, applying, and verifying patches for Apache Druid using Maven with specific flags to bypass non-essential checks.

calculate-github-community-metrics

Processes JSON data from GitHub Search results to compute specific repository health metrics including average merge time, top contributors, and bug resolution counts.

github-api-paginated-search

Fetch data from GitHub's Search API using the GitHub CLI (gh) while correctly handling pagination and merging results. Use this when you need to retrieve more than 100 items or ensure full dataset coverage for a specific period.

extract-pdf-content

Extracts text and mathematical descriptions from a PDF file to identify specific algorithm parameters and loss functions. This is used to ensure the implementation matches the theoretical definition in the paper.

implement-simpo-loss

Implements the SimPO (Simple Preference Optimization) loss function with length normalization and reward margin as specified in the research paper.

run-unit-test-and-save-results

Executes the provided unit test to verify the SimPO loss implementation and saves the output to a specific NPZ file for evaluation.

setup-repo-environment

Aligns the local environment with the repository's requirements by checking for dependency files, installing build-essential tools for complex packages like DeepSpeed, and logging environment metadata.

docx-custom-conditional-logic

Manually processes non-standard conditional markers like `{{IF_VARIABLE}}` and `{{END_IF_VARIABLE}}` in a Word document. It identifies blocks of text to either retain (removing markers) or delete (removing the block) based on data.

docx-recursive-text-replacement

Replaces placeholders in a Word document across all sections, including headers, footers, body paragraphs, and deeply nested tables. It uses paragraph-level replacement to ensure placeholders split across multiple runs are correctly identified.

batch-file-organization

Discovers PDF, DOCX, and PPTX files in a directory (handling hidden characters and extensions robustly), extracts their text, determines their subject, and moves them into organized folders.

classify-scientific-document

Categorizes a document into one of five subjects (LLM, trapped_ion_and_qc, black_hole, DNA, music_history) based on an expanded technical keyword dictionary. It prioritizes the beginning of the text (titles and abstracts) where subject density is highest.

extract-office-text-with-pandoc

Extracts text from .docx and .pptx files using `pandoc`. This tool is preferred for its robustness in handling various document schemas and converting them into plain text for analysis.

extract-pdf-text-with-poppler

Extracts text from PDF files using the `pdftotext` command-line utility with the `-layout` flag to preserve multi-column formatting, which is essential for accurately parsing scientific papers.

scala-213-type-hierarchy-and-modeling

Define idiomatic Scala 2.13 type hierarchies and domain models, replacing Python's class structures and Enums with traits and case classes.

scala-fluent-builder-pattern

Implement a fluent Builder pattern in Scala to provide a clean API for object configuration and instantiation.

scala-functional-parsing-and-error-handling

Implement idiomatic Scala logic for parsing temporal/numeric data and handling batch processing using functional transformations and error types.

analyze-pdf-calendar

Parse the calendar PDF to identify existing appointments, flexible blue slots, and the 15-minute grid coordinate mapping.

extract-meeting-requests

Extract meeting duration, constraints, and metadata from the input JSON file containing email requests.

generate-formatted-replies

Generate meeting confirmation text files based on a specific template and save the results in a JSON log.

schedule-sequential-slots

Find the earliest available meeting slots for multiple requests, treating blue blocks as available and updating the schedule state after each assignment.

generated3visualizationlogic

Creates the core D3.js logic in visualization.js. This includes data loading, custom market cap formatting (supporting "T" for Trillions), force simulation for sector clustering, bubble generation, and bidirectional table highlighting.

generatestockvisualizerwebassets

Creates the HTML and CSS files for the stock visualization app. The HTML provides the structure for the side-by-side layout (bubble chart and table), while the CSS handles styling, scrolling, and highlighting logic.

setupstockvisualizerworkspace

Initializes the directory structure and populates the environment with necessary data and libraries for the D3.js visualization. This skill should be executed before generating any code files to ensure the target paths exist and the D3 library is available…

glm-config-optimization

Manage and calibrate General Lake Model (GLM) configuration files (glm3.nml) within specified parameter constraints and physical ranges.

glm-metric-validator

Calculate specific RMSE metrics by merging simulation and observation data using exact datetime and rounded-depth matching.

glm-output-parser

Extract and transform water temperature data from GLM NetCDF files, handling dynamic layering, masked arrays, and temporal alignment.

ground-transport-route-logic

Logic for planning itineraries that rely on ground transportation (driving) rather than flights, ensuring travel feasibility and daily activity engagement.

itinerary-content-requirements

Guidelines for selecting database-compliant restaurants, accommodations, and attractions based on specific user constraints like budget, pets, and cuisine.

itinerary-validation-check

A final verification step to ensure the JSON output meets all structural and constraint requirements before delivery.