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Model Update

Integrate quarterly earnings and guidance into financial valuation frameworks.

1|Updated Mar 5, 2026
Search Tags:#finance#modeling#valuation#earnings#equity research#estimates
One-click install
npx skills add https://github.com/smrik/ai-fund --skill model-update-smrik
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Model Update
Source: https://github.com/smrik/ai-fund/tree/main/skills/equity-research/skills/model-update
Command: npx skills add https://github.com/smrik/ai-fund --skill model-update-smrik

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the manual, error-prone process of updating financial models following earnings releases, guidance changes, or macro-economic shifts by providing a structured, repeatable workflow for estimate revisions.

Core Features & Use Cases

  • Structured Data Integration: Provides a standardized framework to plug in new quarterly actuals and segment details.
  • Valuation Recalculation: Automatically guides the user through updating DCF and multiple-based valuation models to reflect new forward estimates.
  • Use Case: When a company releases quarterly earnings, use this Skill to systematically update revenue, EBITDA, and EPS estimates, reconcile them against consensus, and derive a refreshed price target.

Quick Start

Use the Model Update skill to process the latest earnings report for the company and revise the forward valuation estimates.

Frequently Asked Questions about Model Update

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I update financial models after quarterly earnings releases?▼

To update financial models after quarterly earnings, integrate new reported actuals, management guidance, and macro-economic assumptions into existing valuation frameworks to systematically revise forward-looking estimates.

What is the best way to revise forward-looking estimates and price targets?▼

The best way to revise forward-looking estimates and price targets is to systematically update DCF and multiple-based valuation models, ensuring reconciliation of reported figures and tracking estimate revision history for consistency.

How do you reconcile reported quarterly actuals against consensus estimates?▼

Reconciling reported quarterly actuals against consensus estimates requires enforcing consistency in financial modeling through a structured data integration framework that plugs in new segment details and tracks estimate revision history.

Can I use a structured workflow to update DCF models with new macro-economic assumptions?▼

Yes, you can use a structured workflow to update DCF models with new macro-economic assumptions, facilitating the systematic revision of forward-looking estimates and recalculation of valuation frameworks.

Why does updating equity research workflows manually cause estimate errors?▼

Updating equity research workflows manually causes estimate errors due to the unstructured, error-prone process of integrating new earnings data, which a standardized framework for estimate revisions resolves.

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