Skill 寫法圖鑑

thesis-tracker

Anthropic | 金融與投資 | 原文 | Apache-2.0

維護投資論點、資料點和催化劑,檢查論點是否還成立

中文翻譯

---
name: thesis-tracker
description: 維護並更新投資組合部位和觀察名單標的的投資論點。長期追蹤關鍵資料點、催化劑和論點里程碑。適用於用新資訊更新論點、檢視部位的理由,或確認論點是否仍然成立。觸發詞:"update thesis for [company]"、"is my thesis still intact"、"thesis check"、"add data point to [company]"、"review my positions"。
---

# 論點追蹤器

## 工作流程

### 步驟 1:定義或載入論點

如果是建立新的論點:
- **公司**:名稱和股票代號
- **部位**:做多或做空
- **論點陳述**:1-2 句的核心論點(例如 "Long ACME — margin expansion from pricing power + operating leverage as mix shifts to software")
- **關鍵支柱**:3-5 個支持論點
- **關鍵風險**:3-5 個會推翻論點的風險
- **催化劑**:可能證實/證偽論點的即將發生事件(財報、產品發表、法規決定)
- **目標價/估值**:如果論點成真,值多少
- **停損觸發條件**:什麼情況會讓你出場

如果是更新現有論點,請向使用者詢問新的資料點或進展。

### 步驟 2:更新紀錄

每個新的資料點或進展都記錄:

- **日期**:發生的時間
- **資料點**:變了什麼(財報超預期、管理層離職、競爭對手動作等)
- **對論點的影響**:它強化、削弱,還是抵銷了某個特定支柱?
- **動作**:不變/加碼/減碼/出場
- **更新後的信心**:高/中/低

### 步驟 3:論點計分卡

維護一份持續更新的計分卡:

| 支柱 | 原本預期 | 目前狀態 | 趨勢 |
|--------|---------------------|----------------|-------|
| 營收成長 >20% | 符合進度 | Q3 為 22% | 穩定 |
| 利潤率擴張 | 落後 | 利潤率年增持平 | 令人擔憂 |
| 新產品上市 | 待定 | 延到 Q2 | 觀察 |

### 步驟 4:催化劑日曆

追蹤即將到來的催化劑:

| 日期 | 事件 | 預期影響 | 備註 |
|------|-------|-----------------|-------|
| | | | |

### 步驟 5:輸出

適合以下用途的論點摘要:
- 晨會討論
- 投資組合檢視
- 風險委員會簡報

格式:簡潔的 markdown 或 Word 文件,附計分卡、近期更新和目前的信心水準。

## 重要注意事項

- 論點應該是可證偽的,如果沒有任何東西能推翻它,那它就不是論點
- 追蹤反面證據要跟追蹤正面證據一樣嚴謹
- 論點至少每季檢視一次,即使沒發生什麼大事
- 如果使用者管理多個部位,主動提議做一次完整的投資組合論點檢視
- 論點資料要用結構化格式儲存,才能跨 session 參照

英文原文

---
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