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Entwicklung · SKILL.md

llmquant-portfolio-lab

llmquant-portfolio-lab

Router skill for LLMQuant portfolio-lab workflows. Use when the user needs portfolio exposure maps, what-if simulations, scenario states, or virtual portfolio comparisons.

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Skill-Dokumentation

GitHub

name: llmquant-portfolio-lab description: Router skill for LLMQuant portfolio-lab workflows. Use when the user needs portfolio exposure maps, what-if simulations, scenario states, or virtual portfolio comparisons. input_data_source: LLMQuant Data category: portfolio-lab

LLMQuant Portfolio Lab

This category routes portfolio virtualization workflows: exposure maps, scenario states, and what-if simulations for real or hypothetical portfolios.

Routing Rules

  1. Identify portfolio ID, holdings list, benchmark, scenario, and requested visualization/output.
  2. Select the closest workflow below.
  3. Open only that workflow and relevant local assets/scripts.
  4. Use LLMQuant Data for positions, prices, ETF look-through, factors, scenarios, and risk model outputs.
  5. Report as-of dates, model dates, benchmark, missing holdings, and unsupported asset types.

Workflow Index

User intentWorkflow
Map portfolio exposure by holdings, sectors, factors, geography, ETF look-through, and concentration.workflows/portfolio-exposure-map.md
Simulate adds, trims, hedges, shocks, and virtual portfolio states.workflows/portfolio-what-if-simulator.md

LLMQuant Data Contract

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

  • Retrieve portfolio holdings, weights, cost basis, asset types, benchmarks, and as-of dates.
  • Retrieve factor exposures, sector/geography exposures, ETF look-through holdings, risk model outputs, and scenario simulation results.
  • Retrieve prices, correlations, drawdowns, volatility, option Greeks, and hedge context when relevant.
  • Compare current, pro forma, and hypothetical portfolio states.

Fallback:

  • If portfolio APIs are unavailable, ask for a holdings table or build a structured portfolio input template.
  • Do not invent weights, holdings, factor exposures, or scenario returns.
Gespeicherte Skills