claude

llmquant-skills

FEDERATED - the claims inside are not verified by this repo. LLMQuant's router skills over its own hosted data API - the only pack in this sweep whose taxonomy spans rates and FX (curve, duration, central-bank divergence), credit (spreads, HY stress), equity derivatives, commodity curves, options IV rank, a portfolio lab and prediction markets. Thin routers, vendor-locked: every skill needs a paid LLMQuant API key in the environment. Read-only, nothing executes. Installs disabled.

1 on GitHubMITupdated todayfederated
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Plugin llmquant-skills from marketplace fin-skills in howard-lynn-ye/Fin-RSI. Commands read from the repo's manifest — today.

What it installs

Skills (18)

  • llmquant-commodities
  • llmquant-credit
  • llmquant-crypto
  • llmquant-data
  • llmquant-equities
  • llmquant-equity-derivatives
  • llmquant-etfs
  • llmquant-events
  • llmquant-investor-lenses
  • llmquant-macro
  • llmquant-market-intelligence
  • llmquant-options
  • llmquant-portfolio-lab
  • llmquant-portfolio
  • llmquant-prediction-markets
  • llmquant-rates-fx
  • llmquant-risk
  • llmquant-strategies
View source on GitHub howard-lynn-ye.github.io

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200 skills

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FEDERATED - the claims inside are not verified by this repo. HKUDS' 33k-star trading agent, taken for its skill tree alone - the richest algorithm content this sweep found: the Kakushadze 101, GTJA 191 and Qlib 158 alpha zoos, factor IC/IR research, execution models (square-root impact, VWAP/TWAP), microstructure (VPIN, Kyle's lambda, Amihud), SABR and local-vol options, convertible bonds, credit, Brinson attribution, GARCH/ADF and a Pine/vnpy exporter. The skills are coupled to the app's data router and Python toolkit, so test them standalone before trusting them; data keys go in a .env, and live orders are reachable only through a separate gated connector with a kill switch, not from these skills. 90 skills is about 4.5x the discovery budget. Installs disabled.

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