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tools finance investment AI 技能

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分类目录: tools finance investment

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GitHub

analyze-job-post

IgorWarzocha

Analyzes a job offer for fit with the Candidate's profile and recommends an application strategy. Use before considering a new job offer.

GitHub

nixtla-explain-analyst

intent-solutions-io

Analyze and explain TimeGPT forecast results in plain English. Generates executive summaries with driver analysis. Use when stakeholders need forecast explanations, board presentations, or compliance documentat...

GitHub

nixtla-arbitrage-detector

intent-solutions-io

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", "det...

GitHub

nixtla-experiment-architect

intent-solutions-io

Generate production-ready forecasting experiments with StatsForecast and TimeGPT. Use when setting up model benchmarking or cross-validation. Trigger with 'scaffold experiment' or 'compare models'.

GitHub

nixtla-liquidity-forecaster

intent-solutions-io

Forecasts orderbook depth and spreads to optimize trade execution timing. Use when needing to estimate market liquidity for large orders. Trigger with "forecast liquidity", "predict orderbook", "estimate depth"...

GitHub

nixtla-baseline-review

intent-solutions-io

Analyze Nixtla baseline forecasting results (sMAPE/MASE on M4 or other benchmark datasets). Use when the user asks about baseline performance, model comparisons, or metric interpretation for Nixtla time-series...

GitHub

nixtla-market-risk-analyzer

intent-solutions-io

Analyze market risk with VaR, volatility, and position sizing using forecast data. Use when assessing investment risk. Trigger with 'analyze market risk' or 'calculate VaR'.

GitHub

nixtla-skills-index

intent-solutions-io

Analyze and categorize installed Nixtla Skills for forecasting guidance. Use when seeing available skills or selecting the right one. Trigger with 'list nixtla skills' or 'what skills'.

GitHub

nixtla-batch-forecaster

intent-solutions-io

Forecast multiple time series in parallel using TimeGPT. Use when processing 10-100+ contracts efficiently. Trigger with 'batch forecast' or 'parallel forecasting'.

GitHub

nixtla-polymarket-analyst

intent-solutions-io

Analyze and forecast Polymarket contracts using TimeGPT with confidence intervals. Use when predicting contract prices. Trigger with 'Polymarket analysis' or 'forecast prediction market'.

GitHub

nixtla-contract-schema-mapper

intent-solutions-io

Transform prediction market data to Nixtla format (unique_id, ds, y). Use when preparing datasets for forecasting. Trigger with 'convert to Nixtla format' or 'schema mapping'.

GitHub

nixtla-timegpt-lab

intent-solutions-io

Provides expert Nixtla forecasting using TimeGPT, StatsForecast, and MLForecast. Generates time series forecasts, analyzes trends, compares models, performs cross-validation, and recommends best practices. Acti...

GitHub

nixtla-batch-forecaster

intent-solutions-io

Forecasts multiple time series in parallel batches using TimeGPT API. Optimizes throughput with rate limiting and supports portfolio aggregation. Use when processing 10-100+ contracts or needing efficient multi...

GitHub

timegpt-pipeline-builder

intent-solutions-io

Generate production-ready TimeGPT forecasting pipeline code from requirements. Use when scaffolding a pipeline with validation, logging, visualization, and repeatable runs. Trigger with "create TimeGPT pipeline...

GitHub

nixtla-correlation-mapper

intent-solutions-io

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", "...

GitHub

nixtla-model-benchmarker

intent-solutions-io

Generate benchmarking pipelines to compare forecasting models and summarize accuracy/speed trade-offs. Use when evaluating TimeGPT vs StatsForecast/MLForecast/NeuralForecast on a dataset. Trigger with "benchmar...

GitHub

nixtla-model-selector

intent-solutions-io

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...

GitHub

nixtla-experiment-architect

intent-solutions-io

Scaffolds production-ready forecasting experiments with Nixtla libraries. Creates configuration files, experiment harnesses, multi-model comparisons, and cross-validation workflows for StatsForecast, MLForecast...

GitHub

nixtla-event-impact-modeler

intent-solutions-io

Analyze causal impact of events on time series forecasts using TimeGPT. Use when quantifying promotion or disaster effects. Trigger with 'event impact analysis' or 'causal analysis'.

GitHub

nixtla-liquidity-forecaster

intent-solutions-io

Forecasts orderbook depth and spreads to optimize trade execution timing. Use when needing to estimate market liquidity for large orders. Trigger with 'forecast liquidity', 'predict orderbook', 'estimate depth'...

GitHub

nixtla-anomaly-detector

intent-solutions-io

Detects anomalies in time series data using TimeGPT. Identifies outliers, level shifts, and trend breaks without model training. Use when identifying anomalies, outliers, or unusual patterns in time series. Tri...

GitHub

nixtla-demo-generator

intent-solutions-io

Generate production-ready Jupyter notebooks showcasing Nixtla forecasting workflows for statsforecast, mlforecast, and TimeGPT. Use when creating demos, building examples, or showcasing forecasting capabilities...

GitHub

nixtla-uncertainty-quantifier

intent-solutions-io

Quantifies prediction uncertainty using conformal prediction. Use when risk assessment, scenario planning, or decision-making under uncertainty is required. Trigger with "quantify uncertainty", "generate predic...

GitHub

nixtla-uncertainty-quantifier

intent-solutions-io

Analyze forecast uncertainty using conformal prediction. Use when risk assessment or scenario planning is required. Trigger with 'quantify uncertainty' or 'prediction intervals'.

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。

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