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SkillsMP は jeremylongshore/plugins-nixtla から 53 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
jeremylongshore/plugins-nixtla収集済み skill 53 件中 13 件を表示しています。
Detects arbitrage opportunities between Polymarket and Kalshi prediction markets. Use when a user wants to find price discrepancies for the same event on different platforms. Trigger with "find arbitrage", "detect market inefficiencies", "compare Polymarket…
原文の言語: 英語
Transforms prediction market data to Nixtla format (unique_id, ds, y). Maps arbitrary column names to required schema. Validates date and numeric types. Use when preparing prediction market datasets for Nixtla forecasting tools. Trigger with "convert to…
原文の言語: 英語
Analyzes multi-contract correlations and generates hedge recommendations. Use when managing a portfolio of correlated assets and needing to mitigate risk. Trigger with "analyze correlations", "suggest hedge", "portfolio risk assessment".
原文の言語: 英語
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", "check forecast quality", or "assess forecast…
原文の言語: 英語
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", "calculate portfolio risk", "determine position…
原文の言語: 英語
Automatically selects the best forecasting model between StatsForecast and TimeGPT based on time series data characteristics. Use when unsure which model performs best. Trigger with "auto-select model", "choose best model", "model selection".
原文の言語: 英語
Analyzes Polymarket prediction market contracts and forecasts price movements using TimeGPT. Activates when analyzing prediction markets, forecasting contract outcomes, or evaluating market sentiment. Triggers on: "Polymarket analysis", "predict contract…
原文の言語: 英語
Scaffolds production-ready forecasting experiments with Nixtla libraries. Creates configuration files, experiment harnesses, multi-model comparisons, and cross-validation workflows for StatsForecast, MLForecast, and TimeGPT. Activates when user needs…
原文の言語: 英語
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 data quality. Activates when user needs data…
原文の言語: 英語
Installs and updates Nixtla Skills in current project using nixtla-skills CLI. Manages skill installation, updates existing skills, and guides through setup process. Activates when user needs to install Nixtla skills, update skills to latest version, or set…
原文の言語: 英語
Lists all installed Nixtla Skills and provides guidance on which skill to use for specific tasks. Scans skills directory, reads frontmatter, outputs formatted index with categories and usage recommendations. Activates when user wants to see available skills,…
原文の言語: 英語
Audits Nixtla library usage and recommends cost-effective routing strategies. Scans TimeGPT, StatsForecast, and MLForecast patterns, identifies cost optimization opportunities, generates comprehensive usage reports, and suggests smart routing between models.…
原文の言語: 英語
Guides TimeGPT lab environment setup including Python dependencies, API key configuration, smoke testing, experiment workflows, and optional CI/CD integration. Inspects environment docs and scripts to provide step-by-step setup instructions, troubleshooting…
原文の言語: 英語