Precisely parse a PDF day-view calendar to extract event times, durations, and colors by reading visual block positions and the 15-minute grid.
Skills in this repository
cxcscmu/SkillLearnBench - Page 13
SkillsMP has collected 1,216 skills from cxcscmu/SkillLearnBench. Open a skill to review its source and details.
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Convert US time zones to the calendar's local timezone, correctly handling Daylight Saving Time for dates in March through November.
Creating D3.js v6 bubble charts with market cap sizing (scaleSqrt), sector coloring, inside ticker labels, and ETF uniform sizing — with correct tooltip suppression for ETFs.
D3.js v6 force simulation for clustered bubbles by category using forceX/forceY anchors, forceCollide for no overlap, with truly deterministic initial positions.
Building a scrollable D3.js HTML table linked to a bubble chart with bidirectional click-highlight, correct scrollIntoView for overflow containers, and sector color badges.
How to run and calibrate GLM3 for lake temperature simulation - includes correct parameter effects, grid search strategy, and verified working parameter ranges.
How to read GLM3 NetCDF output (shape/dimension details verified) and extract simulated temperature profiles matched to field observations.
Exact RMSE metric computation for GLM lake temperature evaluation - verified matching procedure with correct threshold values.
Explore and query travel dataset files (CSV/TXT) to find cities, restaurants, accommodations, attractions, and driving distances — with precise filtering patterns and data field notes.
Build a multi-city road-trip travel itinerary from dataset files with complete budget tracking, pet-friendly constraints, cuisine coverage, and correct JSON output format.
Extract I-frame keyframes from video files using FFmpeg CLI, saving as zero-padded PNG sequences starting at 001.
Convert PNG images to grayscale inplace using ImageMagick; covers both keyframes and template images for consistent matching.
Count template objects in keyframes using count_objects.py; parse integer from output string and generate a CSV with results per frame.
Use INDEX&MATCH with two conditions (series code + year) to populate data tables in Excel from a source sheet, with proper anchoring for copyable formulas.
Calculate GDP-weighted mean of net exports as % of GDP using SUMPRODUCT in Excel, including all supporting statistics (min, max, median, percentiles).
Safely insert Excel formulas into specific cells using openpyxl without altering formatting, colors, or structure of existing workbooks.
Refined skill for enforcing Anthropic corporate brand identity with precise HEX token usage.
Enhanced skill for programmatic design, incorporating system-level dependency management for image generation libraries.
Provides guidelines on modern Mandarin pronunciation and rhyming for classical forms.
Advanced guidance for writing regulated verse, covering parallelism, rhythm, and emotional depth.
Improved skill for filling XFA/non-standard PDFs using FreeText annotations when field mapping is unavailable.
Implementation of DBSCAN with custom weighted Euclidean metric, optimized for parallel execution.
Efficient greedy matching of cluster centroids to expert points with distance constraint.
Identifying the Pareto frontier for a set of results, efficient implementation.
Robust JSON-to-CSV parser for Trivy vulnerability reports.
Run Trivy in offline mode to identify high and critical vulnerabilities in package-lock.json with specific flag usage.
Geospatial data analysis with geopandas for distance calculations, filtering, and modern API usage.
Efficient recursive exploration and content searching across large datasets.
Provides advanced techniques for reading, parsing, and structured writing of JSON data, including complex filtering and aggregation.
Improved 13F dataset analysis functions (includes better handling of TSVs).
Improved skill for creating and applying robust patches to the Druid source code, including verification steps.
Improved skill for building Apache Druid with Maven, focusing on skipping non-essential tasks efficiently.
Advanced skills for fetching, filtering, and aggregating GitHub data using `gh` CLI and `jq`.
Robust PyTorch tensor operations for implementing loss functions, including handling device placement and numerical stability.
Detailed SimPO implementation logic covering reward formulation and margin-based loss computation.
A robust skill for template processing in DOCX files, handling placeholders and complex conditional blocks spanning multiple paragraphs.
Robust extraction of text from various file formats (PDF, DOCX, etc).
Maps extracted text to one of the 5 defined subjects.
Idiomatic data modeling with case classes, sealed traits, and exhaustive matching.
Idiomatic JSON handling using Circe.