cxcscmu/SkillLearnBench - Page 22

load-and-preprocess-spatial-data

Load earthquake GeoJSON and plate boundary datasets, and ensure consistent projection for distance analysis.

answer-formatter-and-tracker

Use this to structure the final output into the required JSON schema, calculating precise token usage based on the retrieved context.

enterprise-data-retrieval

Use this to search, filter, and navigate enterprise artifacts (/root/DATA) to answer specific questions, ensuring cross-product isolation and multi-hop link traversal.

question-processor

Use this to ingest the task file and orchestrate the multi-step retrieval and formatting workflow.

comparative-holding-analysis

Compares holding changes between two quarters for a specific fund to determine investment increases.

cross-fund-security-search

Searches all funds within a specific quarter to rank holdings for a target security by CUSIP.

data-format-validation

Ensures the generated output strictly adheres to the required JSON schema.

one-fund-analysis

Extracts AUM and total holdings count for a specific fund using its accession number and the quarter folder path.

apply-and-rebuild

Applying patches to the Druid source code and performing a targeted Maven build.

logic-neutralization

Neutralizing malicious logic by modifying class deserialization behaviors.

patch-generation

Generating and saving git-compatible patch files for Apache Druid source code.

data-processing-and-json-serialization

Used to transform raw GitHub CLI output into the required reporting structure, ensuring data integrity and correct typing.

github-cli-data-retrieval

Used to query, filter, and extract metadata from GitHub PRs and Issues using the `gh` command line tool with appropriate search qualifiers and pagination limits.

environment-synchronization

Synchronizes the Python environment with specific dependency versions defined in project files to ensure numerical reproducibility.

simpo-loss-implementation

Implements the SimPO loss function using stable log-probability operations in the specified trainer file.

unit-test-execution-and-verification

Creates an orchestration script to run the immutable unit test and capture the output loss values.

docx-template-manipulation

Strategies for programmatically modifying .docx files, handling placeholders, and performing conditional text removal.

json-data-parsing

How to read and extract specific values from employee_data.json to map them to template placeholders.

document-content-extraction

Robustly extracts text from PDF, DOCX, and PPTX files while maintaining structural integrity for multi-column layouts and nested elements.

file-system-management

Safely moves files into target directories while preventing collisions, handling path logic, and maintaining state.

semantic-subject-classification

Maps documents to specific categories using a combination of keyword-based semantic matching and categorical hierarchy.

scala-api-compatibility

Aligning the implementation with provided Test Specifications.

scala-domain-modeling

Translating Python dynamic structures into type-safe Scala ADTs and case classes.

scala-functional-abstractions

Implementing tokenization logic using functional patterns and standard library collections.

email-request-parser

Extracts meeting requirements from /root/test_input.json, handling variable constraints and field parsing.

orchestrate-scheduling

Resolves scheduling conflicts between email requests and calendar availability, prioritizing meeting requests over blue (flexible) blocks.

pdf-calendar-parser

Parses /root/calendar.pdf to extract appointment timings, color-coded blocks, and time-axis mappings using pdfplumber.

environment-setup-and-file-generation

Creates the directory structure, copies data, and writes the specific JS/CSS/HTML files required for the web application.

styling-and-formatting

Defines the layout, chart aesthetics, and table styling in style.css.

visualization-logic-implementation

Implements the D3.js force simulation, tooltips, and data interaction logic in visualization.js.

calibrate-glm

Performs efficient parameter optimization using a heuristic search or scipy.optimize to satisfy RMSE constraints within fixed parameter ranges.

compute-metrics

Calculates RMSE between simulated and observed data using exact datetime matching and integer depth binning based on simulation start date 2009-01-01.

run-glm-simulation

Executes the GLM simulation and retrieves lake-specific depth data to ensure accurate mapping between model output and field observations.

update-glm-config

Safely updates specific calibration parameters in the glm3.nml file using f90nml, maintaining correct namelist group mapping and file integrity.

data-querying-and-filtering

Instructions for querying the provided datasets to ensure constraints regarding pet-friendly lodging, specific cuisines, and valid locations are met.

json-itinerary-formatting

Ensures the final output strictly adheres to the requested JSON structure and field requirements.

route-planning-and-logistics

Determines the driving route from Minneapolis to Ohio, segments the 7-day travel period into manageable travel and stay durations, and ensures no flights are used.

csv-generation

Aggregate object counts into a structured CSV file.

image-preprocessing

Convert images to grayscale in-place using OpenCV.

object-counting

Count objects in an image using the command-line interface of the object detection script.