nixtla-timegpt-finetune-lab
Enables TimeGPT model fine-tuning on custom datasets with Nixtla SDK. Guides dataset preparation, job submission, status monitoring, model comparison, and accuracy benchmarking. Activates when user needs TimeGP...
发现 数据库 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Enables TimeGPT model fine-tuning on custom datasets with Nixtla SDK. Guides dataset preparation, job submission, status monitoring, model comparison, and accuracy benchmarking. Activates when user needs TimeGP...
Generate comprehensive markdown benchmark reports from forecast accuracy metrics with model comparisons, statistical analysis, and regression detection. Use when analyzing baseline performance, comparing foreca...
Analyzes data sources and generates Nixtla-compatible schema transformations. Infers column mappings, creates transformation modules for CSV/SQL/Parquet/dbt sources, generates schema contracts, and validates da...
Analyze multi-contract correlations for forecast-based hedge recommendations. Use when managing correlated assets. Trigger with 'analyze correlations' or 'suggest hedge'.
Incorporates external variables (holidays, weather, events) into TimeGPT forecasts to improve accuracy. Use when forecasts require external data, holidays impact sales, or weather affects demand. Trigger with '...
Generate and configure Nixtla Skills using the CLI for forecasting workflows. Use when installing or updating skills. Trigger with 'install nixtla skills' or 'update nixtla'.
Analyze Nixtla usage and optimize cost-effective forecast routing strategies. Use when auditing API usage or reducing costs. Trigger with 'optimize nixtla costs' or 'audit API usage'.
Analyzes market risk by calculating VaR, volatility, drawdown, and position sizing. Use when assessing investment risk, managing portfolios, or determining position sizes. Trigger with "analyze market risk", "c...
Generate time series forecasts using TimeGPT, StatsForecast, and MLForecast. Use when forecasting, demand planning, or model comparison is needed. Trigger with 'forecast time series' or 'run Nixtla forecast'.
Validates time series forecast quality metrics by comparing current performance against historical benchmarks. Detects degradation in MASE and sMAPE metrics. Activates when user mentions "validate forecast", "c...
Research and summarize Nixtla ecosystem updates and time-series forecasting content from the web and GitHub. Use when gathering release notes, recent changes, or best-practice references. Trigger with "Nixtla u...
Incorporates external variables (holidays, weather, events) into TimeGPT forecasts to improve accuracy. Use when forecasts require external data, holidays impact sales, or weather affects demand. Trigger with "...
Configure TimeGPT fine-tuning on custom datasets with Nixtla SDK. Use when training domain-specific forecast models. Trigger with 'fine-tune TimeGPT' or 'train custom model'.
Modern Swift Testing framework patterns and best practices
Swift and iOS development with modern patterns and best practices
SwiftUI patterns, view composition, styling, and reusable UI elements
Creates distinctive, production-grade frontend interfaces with high design quality, avoiding generic AI aesthetics
React and TypeScript development with Tailwind, shadcn/ui, and modern patterns
Designs comprehensive implementation plans for new features with architecture considerations
Records user English prompts for vocabulary learning. When user's English is unclear, uses AskUserQuestion to clarify before proceeding.
Expert guidance for using Task (taskfile.dev) automation tool to discover and execute project development commands
Expert guidance for setting up and organising research grant applications following established patterns for UKRI, EU, and other funding bodies
Expert guidance for setting up and organizing research software projects following Sam Abbott's established patterns for R packages, Julia packages, and research projects
Expert guidance for Stan probabilistic programming language development, including modern syntax, cmdstanr/cmdstanpy integration, and testing patterns
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。