/thesis-tracker
Maintain and update investment theses for portfolio positions and watchlist names. Track key data points, catalysts, and thesis milestones over time. Use when updating a thesis with new information, reviewing position rationale, or checking if a thesis is still intact. Triggers
$ npx -y skills add anthropics/financial-services --skill thesis-tracker --agent claude-codeHow 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
/thesis-tracker
Context preview
The summary Claude sees to decide when to auto-load this skill.
Maintain and update investment theses for portfolio positions and watchlist names. Track key data points, catalysts, and thesis milestones over time. Use when updating a thesis with new information, reviewing position rationale, or checking if a thesis is still intact. Triggers
SKILL.md
thesis-tracker.SKILL.mdname: thesis-tracker
description: Maintain and update investment theses for portfolio positions and watchlist names. Track key data points, catalysts, and thesis milestones over time. Use when updating a thesis with new information, reviewing position rationale, or checking if a thesis is still intact. Triggers on "update thesis for [company]", "is my thesis still intact", "thesis check", "add data point to [company]", or "review my positions".
Thesis Tracker
Workflow
Step 1: Define or Load Thesis
If creating a new thesis:
- **Company**: Name and ticker
- **Position**: Long or Short
- **Thesis statement**: 1-2 sentence core thesis (e.g., "Long ACME — margin expansion from pricing power + operating leverage as mix shifts to software")
- **Key pillars**: 3-5 supporting arguments
- **Key risks**: 3-5 risks that would invalidate the thesis
- **Catalysts**: Upcoming events that could prove/disprove the thesis (earnings, product launches, regulatory decisions)
- **Target price / valuation**: What's it worth if the thesis plays out
- **Stop-loss trigger**: What would make you exit
If updating an existing thesis, ask the user for the new data point or development.
Step 2: Update Log
For each new data point or development:
- **Date**: When this happened
- **Data point**: What changed (earnings beat, management departure, competitor move, etc.)
- **Thesis impact**: Does this strengthen, weaken, or neutralize a specific pillar?
- **Action**: No change / Increase position / Trim / Exit
- **Updated conviction**: High / Medium / Low
Step 3: Thesis Scorecard
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 |
Step 4: Catalyst Calendar
Track upcoming catalysts:
| Date | Event | Expected Impact | Notes | |------|-------|-----------------|-------| | | | | |
Step 5: Output
Thesis summary suitable for:
- Morning meeting discussion
- Portfolio review
- Risk committee presentation
Format: Concise markdown or Word doc with the scorecard, recent updates, and current conviction level.
Important Notes
- A thesis should be falsifiable — if nothing could disprove it, it's not a thesis
- Track disconfirming evidence as rigorously as confirming evidence
- Review theses at least quarterly, even when nothing dramatic has happened
- If the user manages multiple positions, offer to do a full portfolio thesis review
- Store thesis data in a structured format so it can be referenced across sessions
Read more
name: thesis-tracker description: Maintain and update investment theses for portfolio positions and watchlist names. Track key data points, catalysts, and thesis milestones over time. Use when updating a thesis with new information, reviewing position rationale, or checking if a thesis is still intact. Triggers on "update thesis for [company]", "is my thesis still intact", "thesis check", "add data point to [company]", or "review my positions".
Thesis Tracker
Workflow
Step 1: Define or Load Thesis
If creating a new thesis:
- **Company**: Name and ticker
- **Position**: Long or Short
- **Thesis statement**: 1-2 sentence core thesis (e.g., "Long ACME — margin expansion from pricing power + operating leverage as mix shifts to software")
- **Key pillars**: 3-5 supporting arguments
- **Key risks**: 3-5 risks that would invalidate the thesis
- **Catalysts**: Upcoming events that could prove/disprove the thesis (earnings, product launches, regulatory decisions)
- **Target price / valuation**: What's it worth if the thesis plays out
- **Stop-loss trigger**: What would make you exit
If updating an existing thesis, ask the user for the new data point or development.
Step 2: Update Log
For each new data point or development:
- **Date**: When this happened
- **Data point**: What changed (earnings beat, management departure, competitor move, etc.)
- **Thesis impact**: Does this strengthen, weaken, or neutralize a specific pillar?
- **Action**: No change / Increase position / Trim / Exit
- **Updated conviction**: High / Medium / Low
Step 3: Thesis Scorecard
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 |
Step 4: Catalyst Calendar
Track upcoming catalysts:
| Date | Event | Expected Impact | Notes | |------|-------|-----------------|-------| | | | | |
Step 5: Output
Thesis summary suitable for:
- Morning meeting discussion
- Portfolio review
- Risk committee presentation
Format: Concise markdown or Word doc with the scorecard, recent updates, and current conviction level.
Important Notes
- A thesis should be falsifiable — if nothing could disprove it, it's not a thesis
- Track disconfirming evidence as rigorously as confirming evidence
- Review theses at least quarterly, even when nothing dramatic has happened
- If the user manages multiple positions, offer to do a full portfolio thesis review
- Store thesis data in a structured format so it can be referenced across sessions
Reference agents, skills, and data connectors for the financial-services workflows we see most — investment banking, equity research, private equity, and wealth management.
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