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AI EngineeringShell

LLMQuant Investor Lenses

by LLMQuant

LLMQuant Investor Lenses is an AI Engineering skill for Claude Code, published by LLMQuant in skills.

209 stars27 forkson LLMQuant/skillsAdded 2026/09/04Repository updated 2026/05/30
agent-skillsai-agentsclaude-codecodexcursorequity-researchetffinancial-datainvestment-researchllmllm-toolsmacroeconomicsmcpmodel-context-protocolopen-sourceoptions-tradingportfolio-managementquantitative-financerisk-management
Install in seconds
Install LLMQuant Investor Lenses
Copy LLMQuant Investor Lenses into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/LLMQuant/skills/tree/master/skills/llmquant-investor-lenses ~/.claude/skills/llmquant-investor-lenses

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/LLMQuant/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/llmquant-investor-lenses/SKILL.md in LLMQuant/skills
Installs to
~/.claude/skills/llmquant-investor-lenses
Collection
One of 18 skills cataloged from this repository
Category
AI Engineering2970 skills

What LLMQuant Investor Lenses does

LLMQuant Investor Lenses routes investor-style reasoning workflows grounded in LLMQuant Data. Use it when you want a specific investor framework for researching a ticker, horizon, or decision type with dated evidence.

LLMQuant Investor Lenses is cataloged under AI Engineering on DirSkills. LLMQuant Investor Lenses comes from a repository tagged agent-skills, ai-agents, claude-code, codex and cursor.

Documentation

README

LLMQuant Investor Lenses

This category routes investor-style reasoning overlays. The named workflows are analytical lenses, not claims of endorsement or replication. All external evidence must come from LLMQuant Data.

Routing Rules

  1. Identify the requested investor lens, ticker/asset, horizon, and decision type.
  2. Select the closest workflow below.
  3. Open only that workflow and any local resources explicitly referenced by that workflow.
  4. Use LLMQuant Data for filings, prices, fundamentals, ownership, macro, and valuation evidence.
  5. Separate evidence from interpretation and avoid unsupported persona claims.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LLMQuant Investor Lenses

  • What else does LLMQuant publish alongside LLMQuant Investor Lenses?

    LLMQuant Investor Lenses is one of 18 skills that DirSkills catalogs from LLMQuant/skills, the repository it ships in. Its siblings there include LLMQuant Commodities, LLMQuant Credit and LLMQuant Crypto. Each one is a separate skill with its own page in this directory, installs the same way LLMQuant Investor Lenses does, and is maintained by LLMQuant in that same repository. The rest of the collection is listed on the LLMQuant/skills page.

  • How does LLMQuant Investor Lenses compare to other AI Engineering skills?

    LLMQuant Investor Lenses ranks #2716 by stars among the 2970 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LLMQuant Investor Lenses against them. Open each page to compare what they document and how they install.

More from LLMQuant/skills

LLMQuant Investor Lenses is one of 18 skills cataloged on DirSkills from LLMQuant/skills.

See all 18 skills