cast-recon
From the author
Survey existing forecasting code or models in a codebase — find gaps, stale models, and missing validation. Use when asked "what forecasting models do we have", "audit our forecasts", or "find stale models".
Install
npx skills add tonone-ai/tonone --skill cast-recon -a claude-code
Installs to .claude/skills/cast-recon/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 83
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Similar skills
Closest to this one by what they do and when they are used.
- plot-recontonone-ai/tononeAudit existing visualizations in a codebase or notebook — find misleading charts and quality issues. Use when asked to "audit our charts", "find misleading visualizations", or "review chart quality".Engineering★ 76
- score-recontonone-ai/tononeAudit existing model evaluation code — find metric misuse, missing CIs, and evaluation leakage. Use when asked to "audit our model evaluation", "find metric misuse", or "check for evaluation leakage".Engineering★ 76
- bench-recontonone-ai/tononeAudit existing performance testing — find missing benchmarks, stale baselines, and CI gaps. Use when asked "do we have benchmarks", "audit our performance testing", or "are our baselines stale".Testing★ 76
- fit-recontonone-ai/tononeAudit existing model training code — find reproducibility issues, data leakage, and missing best practices. Use when asked to "audit our training code", "is our training reproducible", or "check for training data leakage".Engineering★ 76
- clean-recontonone-ai/tononeAudit existing data cleaning code — find missing validation, silent data loss, and quality gaps. Use when asked to "audit our data cleaning", "are we losing data silently", or "find data quality gaps".Engineering★ 76
- tune-recontonone-ai/tononeAudit existing fine-tuning or prompt engineering work — find quality gaps and optimization opportunities. Use when asked to "audit our fine-tuning work", "find prompt engineering gaps", or "look for optimization opportunities".Other★ 76
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