time-series-ml

time-series-ml is a Time series & forecasting skill for AI agents, published by pvillega in the claude-templates repository on GitHub. Skillspace rates time-series-ml F (54/100) and it passed the safety scan; the rating is based on static analysis only.

Deep time-series ML operational intuition — walk-forward CV with gap, temporal-leakage audit, probabilistic forecasting (pinball, CRPS, conformal), hierarchical reconciliation, foundation models (Chronos, TimesFM, MOIRAI), drift detection. Load when designing CV under temporal ordering, foundation-model vs tuned baseline, probabilistic intervals, reconciliation, or drift monitoring. Skip for tabular ML (use `classical-ml-pitfalls`), causal inference, or survival analysis. Triggers on: "walk-forward", "TimeSeriesSplit", "temporal leakage", "MASE", "pinball loss", "CRPS", "conformal prediction", "Chronos", "TimesFM", "MOIRAI", "N-BEATS", "PatchTST", "MinT", "ADWIN", "statsforecast", "neuralforecast".

Grade
F
Quality
54 / 100
Safety
Passed
GitHub stars
23

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
81 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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