藏在《常识投资小书》里的Skill

技能描述

约翰·博格在《常识投资小书》(原书名《The Little Book of Common Sense Investing》)中提出了一套可执行的判断框架。这个 Book2Skills 页面把它转化为可直接调用的 AI Skill:先识别问题类型,再按维度检查证据、风险信号和输出格式,帮助用户把书中的方法用于真实决策。

Skill.md

常识投资小书

约翰·博格在《常识投资小书》(原书名《The Little Book of Common Sense Investing》)中提出了一套可执行的判断框架。这个 Book2Skills 页面把它转化为可直接调用的 AI Skill:先识别问题类型,再按维度检查证据、风险信号和输出格式,帮助用户把书中的方法用于真实决策。

核心框架

  • 适用场景:投资, 指数基金, 资产配置, 低成本
  • 输入方式:给出你要判断的对象、目标、约束和已有数据。
  • 输出方式:Skill 会按书中方法生成诊断、检查清单、风险信号和下一步建议。

支持的问题类型

  • 诊断一个真实案例是否符合书中原则。
  • 比较多个方案并给出取舍理由。
  • 找出风险、反模式或缺失信息。
  • 把抽象原则转成可执行步骤。

完整 Skill 指令

以下保留完整 Skill 指令,供 agent 调用时使用。

# The Little Book of Common Sense Investing — Index Investing Skill

**Knowledge source:** *The Little Book of Common Sense Investing* by John C. Bogle.

## Overview

Use this skill to evaluate investment fund choices, portfolio simplicity, cost drag, index fund discipline, asset allocation, and buy-hold behavior using Bogle's common-sense investing framework. It is educational decision support, not personalized financial advice.

## When to Use This Skill

Use this skill when the user asks:
- "Should I use an index fund or active fund?"
- "Are these fund fees too high?"
- "How should I think about ETFs, smart beta, or advisers?"
- "What stock/bond allocation is sensible?"
- "Am I overcomplicating my portfolio?"

## Core Principle

Own the broad market at very low cost and hold it for the long term. Before costs, investors collectively earn the market return; after costs, the more they pay intermediaries, trade, and chase winners, the less they keep.

## Workflow Inventory

| Workflow | User question pattern | Inputs | Steps | Output | Independent trigger? | Distinct references? | Triage score | Should be subskill? | Reason |
|---|---|---|---|---|---|---:|---:|---|---|
| Fund comparison | "Which fund should I choose?" | Fees, turnover, strategy, benchmark, tax status | Compare cost, diversification, active risk, simplicity | Fund verdict | Yes | Yes | 3 | No | Primary index-investing workflow. |
| Cost drag analysis | "Do fees matter?" | Expense ratio, turnover, horizon | Estimate compounding drag | Cost warning | Yes | Yes | 3 | No | Same decision report. |
| Asset allocation | "How much stocks/bonds?" | Age, horizon, risk capacity, income need | Apply simple stock/bond discipline | Allocation range | Yes | Yes | 3 | No | Fits the same portfolio policy. |
| Product skepticism | "Should I buy ETF/smart beta/adviser pick?" | Product structure, costs, incentives | Check complexity, trading temptation, conflicts | Use/avoid verdict | Yes | Yes | 3 | No | Same Bogle cost/simplicity lens. |

## Architecture Justification

The workflows are askable separately, but Bogle's method is intentionally simple: cost, broad diversification, tax efficiency, and patient holding are inseparable. A single-file skill preserves the "simplicity and parsimony" rule.

## DIMENSION 1: Broad Market Ownership

**The Rule:** Prefer owning the entire market through a low-cost traditional index fund over trying to select winners.

### Key questions to ask:
- Is the fund broadly diversified or making a narrow bet?
- Does it eliminate stock-picking, sector, and manager risk?
- Is the investor seeking market return or chasing alpha?

### Decision criteria / Checklist:
- Broad-market exposure.
- Low tracking error to the intended market.
- No unnecessary sector, style, or manager concentration.
- Clear role in the portfolio.

### Warning signals:
- Fund selection based on recent outperformance.
- Concentrated funds marketed as safer than they are.
- Complexity presented as sophistication.

### Agent instruction:
When reviewing a fund, first determine whether it gives broad, low-cost market ownership or introduces avoidable active risk.

## DIMENSION 2: Cost Matters

**The Rule:** Costs are the most reliable predictor of investor outcomes because every dollar paid to intermediaries is a dollar not compounding for the owner.

### Key questions to ask:
- What expense ratio, trading cost, tax cost, advisory fee, and spread apply?
- How long will the investor hold it?
- Does higher cost buy a reliably higher net return?

### Decision criteria / Checklist:
- Compare total all-in cost.
- Penalize turnover and tax inefficiency.
- Treat low cost as a durable advantage.
- In bonds, apply extra cost sensitivity because expected returns are lower.

### Warning signals:
- Ignoring small annual fees over long horizons.
- Adviser recommendations biased toward high-cost products.
- Performance claims shown before costs, taxes, or survivorship bias.

### Agent instruction:
Always run cost analysis before accepting a performance story.

## DIMENSION 3: Reversion and Performance Chasing

**The Rule:** Past fund winners usually revert; chasing them turns a winner's game into a loser's game.

### Key questions to ask:
- Is the user selecting based on recent performance?
- Are failed funds excluded from the track record?
- Is the fund's alpha statistically and economically durable after costs?

### Decision criteria / Checklist:
- Examine long periods, not hot streaks.
- Watch for survivorship bias.
- Prefer repeatable structure over manager story.
- Assume excess return is rare and competed away.

### Warning signals:
- Top-quartile fund rankings used as buying triggers.
- High turnover after disappointing performance.
- Smart beta marketed as guaranteed outperformance.

### Agent instruction:
When a user cites performance, test whether it is durable, net of costs, and free of survivorship bias.

## DIMENSION 4: Simple Allocation and Holding Discipline

**The Rule:** Decide stock/bond allocation, keep costs low, rebalance, and hold through cycles.

### Key questions to ask:
- What horizon, income need, and risk capacity does the investor have?
- Is the portfolio simple enough to maintain?
- Does ETF trading flexibility tempt speculation?

### Decision criteria / Checklist:
- Use a simple stock/bond mix appropriate to risk capacity.
- Favor buy-hold implementation.
- Rebalance by policy, not emotion.
- Be cautious with ETFs that invite trading.

### Warning signals:
- Trading index products as if they were speculation vehicles.
- Portfolio crowded with overlapping funds.
- Changing allocation after market moves rather than life or risk changes.

### Agent instruction:
For allocation questions, give ranges and rebalancing discipline, not market forecasts.

## Query Response Framework

### Query Type 1: Compare funds
1. List each fund's exposure, cost, turnover, tax efficiency, and complexity.
2. Apply broad-market and cost tests.
3. Identify conflicts or performance-chasing risks.
4. Give Bogle-style verdict: prefer, avoid, simplify, or needs data.

### Query Type 2: Portfolio simplification
1. Identify current holdings and overlaps.
2. Reduce to broad low-cost building blocks.
3. Propose stock/bond policy and rebalancing rule.

### Query Type 3: Cost or adviser review
1. Map all explicit and hidden costs.
2. Estimate compounding drag qualitatively or quantitatively if data exists.
3. Recommend lower-cost alternatives where appropriate.

## Output Format

```markdown
## Bogle Common-Sense Investing Review
**Decision:** ...
**Verdict:** Prefer index / Avoid active cost / Simplify / Needs data

| Test | Finding | Result |
|---|---|---|

## Portfolio or Fund Recommendation
...

## Cost Discipline
...

## Citations
...

Critical Reminders

  1. Investors as a group receive market return minus costs.
  2. Broad diversification eliminates avoidable selection risks.
  3. Low cost is a durable edge.
  4. Past performance is not a reliable selection method.
  5. ETFs can be good tools but bad behavior enablers.

CITATION RULES

Every substantive Bogle-method claim must include a citation to the original text.

Quote files:

  • cost-matters-quotes.md — costs, taxes, performance chasing, bond costs, speculative return, survivorship bias, ETFs, and Graham margin of safety.
  • index-fund-quotes.md — owning the market, common sense, cost hypothesis, alpha, arithmetic, eliminated risks, reversion, simplicity, and investor underperformance.
  • investing-wisdom-quotes.md — buy-and-hold, dividends, allocation, timeless advice, Gotrocks, smart beta, adviser conflicts, and simplicity.

Citation format:

"Author's exact words here."

The Little Book of Common Sense Investing, cited excerpt

Anchor mapping:

  • cost-matters-quotes.md: #tyranny-of-costs, #two-percent-costs, #taxes-are-costs, #past-performance-no-guarantee, #bond-costs-even-worse, #speculative-return, #survivorship-bias, #etf-trading-danger, #graham-margin-of-safety
  • index-fund-quotes.md: #own-entire-market, #common-sense-investing, #cost-matters-hypothesis, #alpha-negative-sum, #relentless-arithmetic, #we-get-what-we-dont-pay-for, #index-fund-eliminates-risks, #reversion-to-mean, #simplicity-majesty, #investments-perform-better-than-investors
  • investing-wisdom-quotes.md: #buy-hold-prosper, #dividends-best-friend, #asset-allocation-critical, #time-tested-advice, #gotrocks-parable, #smart-beta-costs, #advisers-conflicts, #keep-it-simple

Rules:

  • Cite cost-related decisions with a cost anchor.
  • Cite product or behavior warnings with ETF, adviser, smart-beta, or performance anchors.
  • Do not provide personalized regulated advice; frame as educational policy.

安装使用

安装指令

npx skills add simbajigege/book2skills/skills/common-sense-index-investing-bogle
OR

直接下载

相关技能

文化的冲突 AI Skill

约翰·博格在《文化的冲突》(原书名《The Clash of the Cultures》)中提出了一套可执行的判断框架。这个 Book2Skills

我从达尔文那里学到的投资 AI Skill

普拉克·普拉萨德在《我从达尔文那里学到的投资》(原书名《What I Learned About Investing from Darwin》)中提出了一套可执行的判断框架。这个

聪明的投资者 AI Skill

本杰明·格雷厄姆在《聪明的投资者》(原书名《The Intelligent Investor》)中提出了一套可执行的判断框架。这个 Book2Skills

刺拳,刺拳,刺拳,右勾拳 AI Skill

加里·维纳查克在《刺拳,刺拳,刺拳,右勾拳》(原书名《Jab, Jab, Jab, Right Hook》)中提出了一套可执行的判断框架。这个

投资最重要的事 AI Skill

霍华德·马克斯在《投资最重要的事》(原书名《The Most Important Thing》)中提出了一套可执行的判断框架。这个 Book2Skills

局外人 AI Skill

威廉·桑代克在《局外人》(原书名《The Outsiders》)中提出了一套可执行的判断框架。这个 Book2Skills 页面把它转化为可直接调用的

影响SEO最重要的10个metadata AI Skill

哥飞在《影响SEO最重要的10个metadata》(原书名《10 Most Important SEO Metadata Tags》)中提出了一套可执行的判断框架。这个

像艺术家一样偷窃 AI Skill

奥斯汀·克莱恩在《像艺术家一样偷窃》(原书名《Steal Like an Artist》)中提出了一套可执行的判断框架。这个 Book2Skills

艺术之战 AI Skill

史蒂文·普莱斯菲尔德在《艺术之战》(原书名《The War of Art》)中提出了一套可执行的判断框架。这个 Book2Skills 页面把它转化为可直接调用的

劝说集:Keynes 政策推理框架 AI Skill

约翰·梅纳德·凯恩斯在《劝说集》(原书名《Essays in Persuasion》)中展示政策推理方法,用于分析债务能力、通胀/通缩、固定汇率、需求不足和经济说服。