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Repositório GitHub

synthefy-migas

synthefy-migas contém 4 skills coletadas de Synthefy, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.

skills coletadas
4
Stars
18
atualizado
2026-04-17
Forks
1
Cobertura ocupacional
2 categorias ocupacionais · 100% classificado
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Skills neste repositório

generate-summary
Desenvolvedores de software

Use this skill any time a FACTUAL SUMMARY / PREDICTIVE SIGNALS text string is created, generated, modified, or used with Migas-1.5. This includes: calling generate_summary(), writing summaries manually, creating counterfactual scenarios with splice_summary(), or editing predictive signals text. Trigger whenever the user mentions summaries, text conditioning, sentiment text, bullish/bearish narratives, or news digests for forecasting.

2026-04-17
plotting
Cientistas de dados

Use this skill any time a forecast chart, visualization, or figure is created. This includes: plotting single forecasts, grid comparisons, counterfactual scenario fans, backtest result charts, or any matplotlib figure using Migas-1.5 outputs. Trigger whenever the user mentions plotting, charting, visualizing, or saving forecast figures.

2026-04-17
prepare-data
Cientistas de dados

Use this skill any time data is loaded, fetched, downloaded, or structured for the Migas-1.5 pipeline. This includes: loading CSVs, fetching live market data via yfinance, formatting DataFrames with t/y_t/text columns, splitting context and ground-truth windows, or preparing batch inference inputs. Trigger whenever the user mentions data prep, data loading, downloading tickers, or formatting series data.

2026-04-17
run-forecast
Cientistas de dados

Use this skill any time MigasPipeline is used or forecast code is written. This includes: running single-series or batch inference, comparing Migas-1.5 vs Chronos-2 baselines, running counterfactual forecasts with different summaries, performing rolling-window backtests, or computing forecast metrics (MAE, MAPE, directional accuracy). Trigger whenever the user mentions forecasting, prediction, inference, backtesting, or model evaluation.

2026-04-17