Thesis Tracker
AnthropicOfficialPublished by Anthropic
- Skill
- Workflow
- Business and productivity
- Apache-2.0
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Thesis Tracker provides a systematic framework for investors to document and monitor the rationale behind their investment decisions. By enforcing a structured approach to tracking key pillars, risks, and catalysts, it helps users maintain objectivity and accountability. The skill facilitates the logging of new developments, assessment of their impact on original investment theses, and the maintenance of a scorecard to track performance against expectations over time.
What it does
- Defines core investment theses with pillars, risks, and catalysts.
- Logs new data points and developments for specific portfolio companies.
- Assesses the impact of new information on existing thesis pillars.
- Maintains a running scorecard to monitor the status and trend of investment arguments.
- Tracks upcoming catalysts and their expected impact on the investment case.
- Generates concise summaries for portfolio reviews and investment discussions.
When to use it
- When adding a new company to your portfolio or watchlist.
- When new market data or company news requires an update to your investment rationale.
- During quarterly portfolio reviews to ensure investment theses remain intact.
- When preparing for investment committee meetings or performance discussions.
Advantages
- Promotes disciplined, evidence-based decision making.
- Ensures investment theses remain falsifiable and objective.
- Helps identify when a position no longer aligns with the original investment case.
- Provides a clear audit trail of conviction levels and thesis evolution.
Usage examples
- “Update thesis for ACME Corp with the latest Q3 earnings report.”
- The agent will prompt for the specific earnings data, analyze its impact on your revenue growth and margin pillars, and update the thesis scorecard.
- “Is my thesis for TechCo still intact?”
- The agent will review your stored pillars and recent data points to provide a summary of whether the investment case remains valid or if risks have increased.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/anthropics/thesis-tracker/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip thesis-tracker.zip -d .agents/skills
Documentation by Anthropic
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
Files
- ATTRIBUTION.mdAdded by AutoGineer927 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md2.7 KiB
Requirements and compatibility
Written for: Claude Code, Claude apps
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
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Attribution and licence
- Published by
- Anthropic
- Publisher
- Anthropic (Official)
- Source
- anthropics/financial-services · plugins/vertical-plugins/equity-research/skills/thesis-tracker · commit 6056506
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Anthropic or Anthropic.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download thesis-tracker.zip