model-update
Update financial model with new quarterly actuals, revised estimates, and updated price target
npx skills add ginlix-ai/LangAlpha --skill model-update --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Model Update ## Workflow ### Step 1: Identify What Changed Determine the update trigger: - **Earnings release**: New quarterly actuals to plug in - **Guidance change**: Company updated forward outlook - **Estimate revision**: Analyst changing assumptions based on new data - **Macro update**: Interest rates, FX, commodity prices changed - **Event-driven**: M&A, restructuring, new product, management change ### Step 2: Plug New Data #### After Earnings Update the model with reported actuals: | Line Item | Prior Estimate | Actual | Delta | Notes | |-----------|---------------|--------|-------|-------| | Revenue | | | | | | Gross Margin | | | | | | Operating Expenses | | | | | | EBITDA | | | | | | EPS | | | | | | [Key metric 1] | | | | | | [Key metric 2] | | | | | **Segment Detail** (if applicable): - Update each segment's revenue and margin - Note any segment mix shifts **Balance Sheet / Cash Flow Updates**: - Cash and debt balances - Share count (buybacks, dilution) - Capex actual vs. estimate - Working capital changes ### Step 3: Revise Forward Estimates Based on the new data, adjust forward estimates: | | Old FY Est | New FY Est | Change | Old Next FY | New Next FY | Change | |--
- Workflow
- Step 1: Identify What Changed
- Step 2: Plug New Data
- Step 3: Revise Forward Estimates
- Step 4: Valuation Impact
- Step 5: Summary & Action
- Step 6: Output
- Important Notes
What does the model-update skill do?
Update financial model with new quarterly actuals, revised estimates, and updated price target
How do I install it?
Run `npx skills add ginlix-ai/LangAlpha --skill model-update --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ginlix-ai/LangAlpha, a repository with 1,604 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.