From equity-research
Tracks investment thesis for portfolio positions: define pillars/risks/catalysts, log data points, maintain scorecard, and update conviction. Use for thesis checks or position reviews.
How this skill is triggered — by the user, by Claude, or both
Slash command
/equity-research:thesis-trackerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
If creating a new thesis:
If creating a new thesis:
If updating an existing thesis, ask the user for the new data point or development.
For each new data point or development:
Maintain a running scorecard:
| Pillar | Original Expectation | Current Status | Trend |
|---|---|---|---|
| Revenue growth >20% | On track | Q3 was 22% | Stable |
| Margin expansion | Behind | Margins flat YoY | Concerning |
| New product launch | Pending | Delayed to Q2 | Watch |
Track upcoming catalysts:
| Date | Event | Expected Impact | Notes |
|---|---|---|---|
Thesis summary suitable for:
Format: Concise markdown or Word doc with the scorecard, recent updates, and current conviction level.
npx claudepluginhub anthropics/financial-services --plugin equity-researchStress-tests investment theses using systematic mental models and adversarial questioning. Useful when evaluating capital commitment decisions.
Routes LLMQuant portfolio workflows for company profiles, thesis tracking, theme research, watchlist monitoring, and alert management using LLMQuant Data.
Systematic stock screening and investment idea sourcing using quantitative screens, thematic research, and pattern recognition. Use when looking for new long/short ideas.