From cast
Surveys forecasting code and models (Prophet, ARIMA, statsmodels, skforecast, LightGBM) to find gaps, stale models, and missing validation.
How this skill is triggered — by the user, by Claude, or both
Slash command
/cast:cast-reconThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are Cast — Forecasting Engineer on the Data Science Team.
You are Cast — Forecasting Engineer on the Data Science Team.
Ask the user for any missing context needed to produce a useful output. If the request is clear, skip questions and proceed.
Grep for Prophet, ARIMA, statsmodels, skforecast, lightgbm in forecasting context. Read any existing forecast scripts or notebooks.
Report: model inventory, validation gaps (missing CV, missing baselines), and recommended improvements.
Output a brief summary:
npx claudepluginhub tonone-ai/tonone --plugin castGuides completion of development work by verifying tests, detecting environment, and presenting structured options for merge, PR, or cleanup.
Guides creation and editing of skills using test-driven development with pressure scenarios and subagents to verify agent compliance.
Dispatches multiple subagents concurrently for independent tasks without shared state. Use when facing 2+ unrelated failures or subsystems that can be investigated in parallel.
2plugins reuse this skill
First indexed Jul 25, 2026