Forecast target outcomes with probability, horizons, and alternative scenarios.
npx skills add https://github.com/synaptiai/agent-capability-standard --skill predict
Please help me install this Agent Skill. Skill: predict Source: https://github.com/synaptiai/agent-capability-standard/tree/main/skills/predict Command: npx skills add https://github.com/synaptiai/agent-capability-standard --skill predict
Forecasting future states or outcomes from current data and patterns to inform decisions and manage uncertainty.
Ask the system to forecast a specific target over a defined horizon using your historical data and stated assumptions.
High-intent search queries and answers about installing and using this skill.
You can forecast future outcomes by providing historical data and stated assumptions to predict target states over a defined horizon, generating probability estimates to manage uncertainty in your data analysis.
Predicting risk scenarios involves applying assumed conditions to historical patterns to generate a trajectory of future states, explicitly outlining confidence levels and invalidation conditions for project planning decisions.
You structure a time-series forecast by defining a target over a specific horizon, which yields a structured output containing the prediction, probability, confidence levels, alternatives, and invalidation conditions.
Yes, predictive data analysis works without external dependencies, using your current state inputs and historical patterns to generate system behavior forecasts and evidence anchors directly.
Avoid automated forecasting when you lack historical patterns or defined horizons, because generating valid trajectory predictions requires current states and assumed conditions to establish evidence anchors.
RamanEbrahimiGenerates zero-shot time-series forecasts and prediction intervals from CSV, DataFrame, or array inputs using Google's TimesFM foundation model and torch library.
eliza420ai-beepSimulate prediction markets with Monte Carlo, copulas, and particle filters.
quangphu1912Test codebase hypotheses with targeted analysis and evidence.
LuizEduPPBuild DCF, sensitivity, and Monte Carlo financial models with numpy and pandas.
