kaggle skills

Yeachan-Heo/My-Jogyo

Skill Claude CodeCodex

Patterns for data loading, exploration, and statistical analysis.

Yeachan-Heo/My-Jogyo

Skill Claude CodeCodex

Best practices for designing reproducible experiments.

Yeachan-Heo/My-Jogyo

Skill Claude CodeCodex

Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines.

FrankS-IntelLab/agentic-kaggle-skill

Skill Claude CodeCodex

Kaggle-first end-to-end competition workflow for scored submissions. Use when Codex must run Kaggle or competitive ML workflows through scored submission, including code competitions, validation, metrics, policy-safe public notebook/discussion intel, tabular/text/image modeling, tuning, ensembling/stacking, proactive…

shepsci/kaggle-skill

Skill Claude CodeCodex

Unified Kaggle skill. Use when the user explicitly mentions Kaggle, kaggle.com, a Kaggle URL, Kaggle competitions, Kaggle datasets/models/notebooks, Kaggle forums/discussions/writeups, Kaggle benchmarks, hackathons hosted on Kaggle, Kaggle badges, or Kaggle account setup. Do not use for generic ML, GPU/TPU, notebook…

Mirannonarbitrable290/agentic-kaggle-skill

Skill Claude CodeCodex

AI Agent-driven Kaggle competition workflow. Learn from real competition experience: score stabilization patterns, submission troubleshooting, kernel workflows, GPU task delegation, and the spec-driven development approach that achieved top leaderboard positions. Use when: working on any Kaggle competition, analyzing…

dianaprior/kaggle-competition-agent-skill

Skill Claude CodeCodex

Run a TabPFN classification baseline, generate the first submission, rapidly probe features, then optimize with GBT ensembles, threshold tuning, and calibration. Use after tabpfn-explore has prepared the data and CV folds.

dianaprior/kaggle-competition-agent-skill

Skill Claude CodeCodex

Shared identity, behavior rules, workflow principles, and project conventions for TabPFN tabular competition skills. Referenced by tabpfn-classify, tabpfn-regress, and tabpfn-explore — not invoked directly.

dianaprior/kaggle-competition-agent-skill

Skill Claude CodeCodex

Run a TabPFN regression baseline, generate the first submission, then optimize with GBT ensembles and regression-specific post-processing (clipping, target transforms, rank blending). Use after tabpfn-explore has prepared the data and CV folds.

alex-jb/shadow-perception-mcp

Skill Claude CodeCodex

Pre-submit council for Kaggle notebooks. Five voices review the notebook for train/test leakage, protected-class proxy features, seed pinning, competition rule compliance, and submission artifact presence. Returns SHIP / REWORK / BLOCK verdict with per-voice rationale and Ed25519 attestation. Use before hitting Submit…