Skip to content
Research
Skill

/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.

BOOST
From plugin
llmquant-skills
23518 skills
Install
$ npx -y skills add LLMQuant/skills --skill llmquant-investor-lenses --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/llmquant-investor-lenses

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

llmquant-investor-lenses.SKILL.md
name: llmquant-investor-lenses
description: Router skill for LLMQuant investor-lens workflows. Use when the user wants an investor-style reasoning overlay grounded in LLMQuant Data evidence.
input_data_source: LLMQuant Data
category: investor-lenses

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.
Read more
Ships withllmquant-skills

Reusable Skills for LLMQuant Agent, Claude Code, Claude.ai, Cursor, Hermes Agent, OpenClaw and Codex, grounded in LLMQuant Data

Get the whole plugin

Other skills on llmquant-skills.