Use for parsing structured unit commitment input data from JSON, CSV, benchmark cases, spreadsheets, databases, or nested tables; finding fields for time periods, resources, load, reserve, generator limits, initial conditions, startup data, renewable availability, and production costs without assuming one source-specific schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when simulating quadrotor physical dynamics — mapping desired thrust/moments to individual motor RPMs via a propeller allocation matrix, applying first-order motor lag, and integrating the nonlinear equations of motion (translational and rotational) using RK45.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Diagnostic guide for RL-based post-training of language models (GRPO, PPO, REINFORCE, DPO). Use proactively when debugging a training pipeline that shows no improvement, loss anomalies, reward stagnation, NaN gradients, or other unexpected behavior during reinforcement learning fine-tuning. Work through all pipeline stages — reward, advantages, log-probs, loss, generation/decoding — before concluding the diagnosis is complete; stopping after one or two fixes is a common failure mode. Covers log-probability math, advantage estimation, numerical stability, reward processing, and generation/decoding pipeline issues.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze geospatial data using geopandas with proper coordinate projections. Use when calculating distances between geographic features, performing spatial filtering, or working with plate boundaries and earthquake data.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate dynamic-object binary masks after global motion compensation, output CSR sparse format.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop. Use it when you have a seismic phase picking task at hand.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Complete guide for reading and editing PDF documents with PyMuPDF.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Estimate camera motion with optical flow + affine/homography, allow multi-label per frame.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Civilization 6 district mechanics library. Use when working with district placement validation, adjacency bonus calculations, or understanding Civ6 game rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Tools and techniques for detrending time series data in macroeconomic analysis. Use when working with economic time series that need to be decomposed into trend and cyclical components. Covers HP filter, log transformations for growth series, and correlation analysis of business cycles.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Power system network data formats and topology. Use when parsing bus, generator, and branch data for power flow analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generator economic dispatch and cost optimization for power systems. Use when minimizing generation costs, computing optimal generator setpoints, calculating operating margins, or working with generator cost functions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when computing 3D step-response performance metrics for point-to-point drone flight — rise time, settling time, percent overshoot, and steady-state error based on Euclidean distance to the final target. Use instead of 1D stepinfo for any flight where all three position axes move simultaneously.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use for day-ahead or multi-period unit commitment problems, including thermal on/off schedules, dispatch, startup/shutdown logic, minimum up/down time, ramping, spinning reserve deliverability, renewable curtailment, operating-cost accounting, and independent feasibility checks for power-system operations schedules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract locational marginal prices (LMPs) from DC-OPF solutions using dual values. Use when computing nodal electricity prices, reserve clearing prices, or performing price impact analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Subtour-elimination methods for TSP, VRP, pickup/dropoff routing, and routing MIPs with binary arc variables. Use when route-continuity constraints may permit disconnected cycles and the model needs MTZ constraints, flow-based connectivity constraints, DFJ subset cuts, or lazy/iterative subtour cuts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Strategy for solving constraint optimization problems on spatial maps. Use when you need to place items on a grid/map to maximize some objective while satisfying constraints.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Hex grid spatial utilities for offset coordinate systems. Use when working with hexagonal grids, calculating distances, finding neighbors, or spatial queries on hex maps.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Parse SQLite databases into structured JSON data. Use when exploring unknown database schemas, understanding table relationships, and extracting map data as JSON.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.