llmquant/skills

llmquant-investor-lenses

Router skill for LLMQuant investor-lens workflows. Use when the user wants an investor-style reasoning overlay grounded in LLMQuant Data evidence.

First seen May 30, 2026

Installation

$ npx skills add llmquant/skills --skill llmquant-investor-lenses

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from llmquant/skills · top by installs.

npx skills add llmquant/skills

Browse all from llmquant/skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 212
License LICENSE
Default branch master
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,716 B
  • docs SUMMARY.md 178 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 412 installs

SKILL.md

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.

Workflow Index

User intent Workflow
Long-term owner lens: moat, circle of competence, and margin of safety. [workflows/warren-buffett.md](workflows/warren-buffett.md)
Quantitative value and margin-of-safety discipline. [workflows/ben-graham.md](workflows/ben-graham.md)
Multi-model quality investor with inversion discipline. [workflows/charlie-munger.md](workflows/charlie-munger.md)
Dhandho, cloning, and low-risk doubles. [workflows/mohnish-pabrai.md](workflows/mohnish-pabrai.md)
Emerging-market compounder and ROE-first selection. [workflows/rakesh-jhunjhunwala.md](workflows/rakesh-jhunjhunwala.md)
GARP, ten-baggers, and simple explainable businesses. [workflows/peter-lynch.md](workflows/peter-lynch.md)
Qualitative growth and scuttlebutt-style research. [workflows/phil-fisher.md](workflows/phil-fisher.md)
Disruptive innovation, Wright's Law, and exponential TAM. [workflows/cathie-wood.md](workflows/cathie-wood.md)
Macro liquidity regime and asymmetric sizing. [workflows/stanley-druckenmiller.md](workflows/stanley-druckenmiller.md)
Concentrated activist value and catalyst unlocks. [workflows/bill-ackman.md](workflows/bill-ackman.md)
Contrarian deep value and filing-first downside work. [workflows/michael-burry.md](workflows/michael-burry.md)
Tail-risk, barbell, convexity, and antifragile thinking. [workflows/nassim-taleb.md](workflows/nassim-taleb.md)
Story-plus-numbers valuation discipline. [workflows/aswath-damodaran.md](workflows/aswath-damodaran.md)
Mechanical Buffett-style business, moat, management, and valuation scorecard. [workflows/warren-buffett-scorecard.md](workflows/warren-buffett-scorecard.md)
Seller-only quality-business options framework. [workflows/duan-yongping-seller.md](workflows/duan-yongping-seller.md)
Cycle-position offense/defense signal. [workflows/howard-marks-cycle.md](workflows/howard-marks-cycle.md)
Rare panic-buy gate for liquid quality exposure. [workflows/david-tepper-panic-signal.md](workflows/david-tepper-panic-signal.md)

LLMQuant Data Contract

Prefer LLMQuant Data when available. The workflows may need these data capabilities:

  • Retrieve filings, fundamentals, valuation inputs, market prices, 13F ownership, macro indicators, options context, credit context, and sentiment evidence.
  • Support investor-lens analysis with dated evidence rather than persona-style assertions.
  • Preserve the distinction between retrieved facts, user-provided assumptions, and the selected investor framework.

Fallback:

  • If a lens needs unavailable data, name the missing input and continue only with retrieved or user-provided evidence.
  • Do not invent quotes, holdings, valuation inputs, or biographical claims.