Thesis Tracker

SkillDocs & knowledge

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Thesis Tracker skill

About this capability

166 production-ready Claude AI skills organized by corporate role — executive leadership, finance, HR, marketing, sales, legal, operations, engineering, product, data, customer success, procurement & document processing

What this skill tells your AI

The instructions your AI receives, as published by w95/awesome-claude-corporate-skills in 02-finance-accounting/thesis-tracker/SKILL.md and read by ahel’s review.

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".

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:

PillarOriginal ExpectationCurrent StatusTrend
Revenue growth >20%On trackQ3 was 22%Stable
Margin expansionBehindMargins flat YoYConcerning
New product launchPendingDelayed to Q2Watch

Step 4: Catalyst Calendar

Track upcoming catalysts:

DateEventExpected ImpactNotes

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

Signals

GitHub stars
195
Forks
49
Last commit
Feb 2026
Advanced
Catalog kind
skill
Gateway key
thesis-tracker-w95
Source
github.com/w95/awesome-claude-corporate-skills