Agent skill

Compounding Thinking

by kangarooking in kangarooking/buffett-letters-skill

用户在做长期投资/储蓄/增长决策,需要理解时间和复利的力量,或被短期波动困扰时. An agent skill from kangarooking/buffett-letters-skill.

MITAuto-check passed

Install Compounding Thinking

skills CLI
$ npx skills add kangarooking/buffett-letters-skill --skill compounding-thinking -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kangarooking/buffett-letters-skill compounding-thinking --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kangarooking/buffett-letters-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/compounding-thinking .claude/skills/compounding-thinking && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
compounding-thinking
GitHub stars
102
Token cost
~433 tokens
SKILL.md length
127 words
Files
2
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

用户在做长期投资/储蓄/增长决策,需要理解时间和复利的力量,或被短期波动困扰时. An agent skill from kangarooking/buffett-letters-skill.

  • Works in 3 steps: 小差异×长时间=巨大差距:年化15%和20%在30年后差3.4倍 → 高增长必自毁:基数膨胀后维持同等增速需要越来越大的绝对增量——"派对结束" → 少数赢家的绽放:不需要所有投资都成功——Coke…
  • SKILL.md covers R — 原文 (Reading), I — 方法论骨架, A1 — 书中的应用 and A2 — 触发场景, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Compounding Thinking is an agent skill from kangarooking/buffett-letters-skill. 用户在做长期投资/储蓄/增长决策,需要理解时间和复利的力量,或被短期波动困扰时。 语言信号:"持有多久合适"/"年化X%十年后会怎样"/"为什么长期持有比频繁交易好"/"小收益怎么变成大财富" 不适用于:短期交易决策、不需要时间维度的分析。

Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `test-prompts.json`).

The repository describes itself as: An AI skill pack for value investing, capital allocation, and behavioral discipline, distilled from Warren Buffett's 60+ years of shareholder letters. The licence is MIT.

Example prompts

  • “持有多久合适”
  • “年化X%十年后会怎样”
  • “为什么长期持有比频繁交易好”
  • “/compounding-thinking”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 小差异×长时间=巨大差距:年化15%和20%在30年后差3.4倍
  2. 高增长必自毁:基数膨胀后维持同等增速需要越来越大的绝对增量——"派对结束"
  3. 少数赢家的绽放:不需要所有投资都成功——Coke $13亿→$250亿足以抵消所有错误

What it can do on your machine

Read from SKILL.md and the folder at commit 5b1fbe1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Compounding Thinking loads about 433 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 127 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~433

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from kangarooking/buffett-letters-skill at commit 5b1fbe1, republished under its MIT licence (© kangarooking). 127 words, ~433 tokens.

Download SKILL.mdSave it as .claude/skills/compounding-thinking/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
compounding-thinking
description
用户在做长期投资/储蓄/增长决策,需要理解时间和复利的力量,或被短期波动困扰时。 语言信号:"持有多久合适"/"年化X%十年后会怎样"/"为什么长期持有比频繁交易好"/"小收益怎么变成大财富" 不适用于:短期交易决策、不需要时间维度的分析。
source_book
《巴菲特致股东的信》 沃伦·巴菲特
source_chapter
1962年信 / 2022年信
tags
compounding, long-term, patience, time
related_skills
hold-forever, economic-moat, float-thinking, cigar-butt-vs-great-business, never-issue-shares, three-asset-categories

复利思维

R — 原文 (Reading)

"It is always startling to see how relatively small differences in rates add up to very significant sums over a period of years." (1962) "The weeds wither away in significance as the flowers bloom. Over time, it takes just a few winners to work wonders." (2022)

I — 方法论骨架

复利的三个关键洞察:

  1. 小差异×长时间=巨大差距:年化15%和20%在30年后差3.4倍
  2. 高增长必自毁:基数膨胀后维持同等增速需要越来越大的绝对增量——"派对结束"
  3. 少数赢家的绽放:不需要所有投资都成功——Coke $13亿→$250亿足以抵消所有错误

反面:增长可能摧毁价值(如果需要持续资本投入超过产出)

A1 — 书中的应用

案例: Coca-Cola + American Express
  • 使用: 1990年代各投$13亿,28年后Coke=$250亿+年股息$7亿,Amex=$220亿+年股息$3亿
  • 结果: 证明了"少数赢家的长期绽放"——两笔投资的总回报覆盖了所有其他错误

A2 — 触发场景

  1. 计算长期投资的预期回报
  2. 纠结是否应该卖出持仓
  3. 理解为什么"不行动"可能是最好的策略
  4. 评估短期波动是否值得担心
  5. 对比"频繁交易"vs"长期持有"的长期效果
语言信号
  • "持有多久合适?"
  • "年化X%十年后是多少?"
  • "为什么巴菲特不卖?"
  • "短期波动要不要管?"
与相邻 skill 的区分
  • 与 hold-forever 的区别:复利是数学原理,永久持有是具体策略

E — 可执行步骤

  1. 做复利计算——不要凭直觉

    • 完成标准:$1在目标回报率下5/10/20/30年的结果
  2. 识别"绽放花朵"

    • 完成标准:在投资组合中找出"少数赢家"——它们将贡献大部分回报
  3. 接受不均匀性

    • 完成标准:列出"宁愿颠簸的15%也不要平滑的12%"的理由

B — 边界

  • 复利假设回报率为正——负回报率下复利加速亏损
  • 高增长率不可持续——"增长会自毁"
  • 作者盲点:巴菲特享受了美国经济60年的顺风,其他市场可能不同

相关 skills (阶段 3 填充)

  • depends-on: hold-forever
  • composes-with: economic-moat, float-thinking

审计信息

  • 验证通过: V1 ✓ / V2 ✓ / V3 ✓
  • 蒸馏时间: 2026-04-16

© kangarooking, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in compounding-thinking of kangarooking/buffett-letters-skill.

  • SKILL.md
  • test-prompts.json

Open the folder on GitHubat commit 5b1fbe1

Compare with similar skills

Compounding Thinking next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Compounding Thinking compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Compounding Thinking this skillkangarooking/buffett-letters-skill102—~433Automated safety check: PassMIT
Think Tankdavila7/claude-code-templates32k—~3kAutomated safety check: PassMIT
Product Thinkingmillionco/react-doctor15k—~3.1kAutomated safety check: PassCustom licence
Design Thinkingsickn33/agentic-awesome-skills47k1 repos~1.9kAutomated safety check: PassMIT
Ten-Stage Think LoopAgriciDaniel/claude-obsidian15k—~1.2kAutomated safety check: PassMIT
Scientific Thinking Literature Reviewaffaan-m/ECC275k1 repos~1.3kAutomated safety check: PassMIT

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Questions about Compounding Thinking

What does Compounding Thinking do?

用户在做长期投资/储蓄/增长决策,需要理解时间和复利的力量,或被短期波动困扰时. An agent skill from kangarooking/buffett-letters-skill. Compounding Thinking is an agent skill from kangarooking/buffett-letters-skill.

How do I install Compounding Thinking in Claude Code?

Run `npx skills add kangarooking/buffett-letters-skill --skill compounding-thinking -a claude-code`. Or copy the skill folder (compounding-thinking in kangarooking/buffett-letters-skill) into .claude/skills/compounding-thinking in your project. Claude Code loads it when a task matches its description.

How do I install Compounding Thinking in Codex?

Run `npx skills add kangarooking/buffett-letters-skill --skill compounding-thinking -a codex`. Or copy the skill folder (compounding-thinking in kangarooking/buffett-letters-skill) into .agents/skills/compounding-thinking in your project. Codex loads it when a task matches its description.

Can I use Compounding Thinking in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kangarooking/buffett-letters-skill --skill compounding-thinking -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/compounding-thinking, .gemini/skills/compounding-thinking, .github/skills/compounding-thinking and .opencode/skills/compounding-thinking in your project.

What does Compounding Thinking need to run?

SKILL.md names no scripts, command-line tools or credentials: Compounding Thinking is instructions for the agent only.

Does Compounding Thinking access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Compounding Thinking safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Compounding Thinking use?

Compounding Thinking is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Compounding Thinking use?

About 433 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Compounding Thinking?

Skills that share tags, products or a category with Compounding Thinking: Think Tank (davila7/claude-code-templates, 32k stars), Product Thinking (millionco/react-doctor, 15k stars), Design Thinking (sickn33/agentic-awesome-skills, 47k stars) and Ten-Stage Think Loop (AgriciDaniel/claude-obsidian, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Compounding Thinking?

kangarooking (a GitHub user) maintains it in kangarooking/buffett-letters-skill, which has 102 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on April 17, 2026.

Source: kangarooking/buffett-letters-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.