quant-llm-skills
SkillGitHubAktivPython
Skills for quant research with LLMs that don't fall for the traps nobody talks about. Lookahead bias, ATM detection, survivorship, transaction-cost realism — 10 skills + 11 reproducible evals showing 8 of them measurably improve Haiku output. Claude Code & Cursor compatible, MIT.
Herkunft der Beschreibung: Originalquelle
Gemessen: 20.10.2026 · 69 Beobachtungen
Bereiche & Einsatzzwecke
- Bereiche
- Agenten, Skills und MCP
- Einsatzzwecke
- Agenten-Skills, Code-Assistenten
Installation
git clone https://github.com/jefrnc/quant-llm-skills ~/.claude/skills/quant-llm-skillsAn der Quelle prüfen
Kompatibilität und Voraussetzungen in der offiziellen Dokumentation prüfen.
https://github.com/jefrnc/quant-llm-skillsKlassifikationen
- Art
- Werkzeug
Messverlauf
Vergleichbare Messwerte sind nach Signal und Einheit gruppiert.
Sterne
1Sterne · 20.10.2026
+1seit 10.08.2026
Genaue Werte · 69 Messungen
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