Summary
- メタ解析スキル。固定効果・ランダム効果モデル(DerSimonian-Laird)、Forest プロット、
- 異質性評価(I²/Q 検定/τ²)、出版バイアス検出(Funnel プロット/Egger/Begg 検定)、
- サブグループ解析、メタ回帰、累積メタ解析のテンプレートを提供。
nahisaho/satori · Archived
メタ解析スキル。固定効果・ランダム効果モデル(DerSimonian-Laird)、Forest プロット、 異質性評価(I²/Q 検定/τ²)、出版バイアス検出(Funnel プロット/Egger/Begg 検定)、 サブグループ解析、メタ回帰、累積メタ解析のテンプレートを提供。
npx skills add https://github.com/nahisaho/satori
This repository is archived — consider an actively maintained alternative.
論文品質(Nature/Science/Cell レベル)の科学図表を作成するスキル。matplotlib rcParams 設定、 DP…
2 installsRelated neighbors and high-traction skills in the same topics — useful to compare before installing.
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1.8K installsCreate and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Se…
1.7K installsEvaluate scientific claims and evidence quality.
1.7K installsFacilitates evidence-aware scientific ideation with independent generation, structured discussi…
1.7K installsOther skills from nahisaho/satori · top by installs.
npx skills add https://github.com/nahisaho/satori
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
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