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kigasudayooo AI Skills

GitHub ↗

Explorez les skills IA publiés de kigasudayooo et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

6

Étoiles des dépôts des skills indexés

0

Forks du dépôt

0

Moyenne des étoiles par skill indexé

0

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

Catégories populaires

tools machine learning3tools project management2devops project management2content media project management2databases project management2blockchain project management2

Indexation récente

code-quality2026-01-20testing2026-01-20documentation2026-01-20experiment-tracking2026-01-20kaggle-workflow2026-01-20

6 skills

Explorer

GitHub

code-quality

kigasudayooo

Apply code quality tools (Ruff, ty, pre-commit) to Python projects. Use PROACTIVELY when code quality issues are detected. Keywords: lint, format, quality, 品質, ruff, type

☆ 0Voir le skill
GitHub

testing

kigasudayooo

Help write and organize tests for Python projects. Use PROACTIVELY when new code is written. Keywords: test, testing, pytest, テスト

☆ 0Voir le skill
GitHub

documentation

kigasudayooo

Help write clear documentation (docstrings, README, API docs). Use PROACTIVELY when documentation is needed. Keywords: docs, documentation, ドキュメント, README

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GitHub

experiment-tracking

kigasudayooo

Integrate Trackio for experiment tracking in Kaggle competitions. Use PROACTIVELY when user trains models, logs metrics, or manages experiments. Keywords: 実験, 訓練, train, training, tracking, metrics, 指標,...

☆ 0Voir le skill
GitHub

kaggle-workflow

kigasudayooo

Guide through complete Kaggle competition workflow from TODO updates to submission. Use PROACTIVELY when user starts new experiments, prepares submissions, or asks about competition workflow. Keywords: Kaggle,...

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GitHub

performance-optimization

kigasudayooo

Optimize training performance for Kaggle competitions. Use PROACTIVELY when training is slow, GPU memory issues occur, or user asks about performance tuning. Keywords: 遅い, 最適化, OOM, CUDA, batch_size, num_w...

☆ 0Voir le skill

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.