investment-masters
AlphaGBM/investment-masters
This skill extracts and structures the investment philosophies, risk management styles, and holdings of 15 legendary fund managers to help users build systematic trading strategies.
Overview
Designed to bridge raw financial literature and actionable execution, this skill distills primary sources such as shareholder letters, SEC 13F filings, and whitepapers from famous investors like Warren Buffett, Ray Dalio, and George Soros. It allows users to compare different investment methodologies, examine institutional portfolio shifts, and map master-level insights onto their own analytical frameworks.
Capabilities
- ▸Distill investment methodology from public records and literature
- ▸Track and review quarterly 13F institutional holdings from SEC EDGAR
- ▸Perform side-by-side comparisons of fund manager philosophies
- ▸Translate high-level master concepts into systematic, quantifiable rules
- ▸Generate structured financial notes and research reports
Best for
Learning and analyzing the core investment frameworks of top hedge fund managers, Comparing risk management and position sizing approaches across different philosophies, Tracking quarterly institutional portfolio adjustments using public SEC 13F data, Drafting comprehensive investment research reports and synthesis articles
Works with
実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
The skill primarily parses and analyzes publicly available financial literature and regulatory filings, presenting minimal technical security risk.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.