Agent skill

Investing Method Poor Charlie

by SpaceZephyr in SpaceZephyr/career.skill

《穷查理宝典》(Peter Kaufman 编,2005 初版,2020 增订) 方法论。把芒格的多元思维模型格栅、 25 条误判心理学清单、Lollapalooza 识别、逆向思考、too hard pile 判断转化为 可执行的投资与决策框架。每条规则标注原书 Talk 或章节。

No licenceAuto-check passedAI & LLM Engineering

Install Investing Method Poor Charlie

skills CLI
$ npx skills add SpaceZephyr/career.skill --skill investing-method-poor-charlie -a claude-code

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

GitHub CLI
$ gh skill install SpaceZephyr/career.skill investing-method-poor-charlie --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/SpaceZephyr/career.skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'已制作Skill/投资/investing-method-poor-charlie' .claude/skills/investing-method-poor-charlie && 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
investing-method-poor-charlie
GitHub stars
160
Token cost
~1.2k tokens
SKILL.md length
422 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
None found

At a glance

《穷查理宝典》(Peter Kaufman 编,2005 初版,2020 增订) 方法论。把芒格的多元思维模型格栅、 25 条误判心理学清单、Lollapalooza 识别、逆向思考、too hard pile 判断转化为 可执行的投资与决策框架。每条规则标注原书 Talk 或章节。

  • Works in 12 steps: 激励-回报倾向 — 激励结构决定行为,不是人品 → 喜爱/讨厌倾向 — 因为喜欢某公司 CEO 就忽略财务问题 → 怀疑-回避倾向 — 面对不确定性倾向随便下结论,逃避悬念 → …
  • AI & LLM Engineering work in your project
  • SKILL.md covers 什么时候用我, 核心框架, 决策规则(10 条,来源标注) and 检查清单, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Investing Method Poor Charlie is an agent skill from SpaceZephyr/career.skill. 《穷查理宝典》(Peter Kaufman 编,2005 初版,2020 增订) 方法论。把芒格的多元思维模型格栅、 25 条误判心理学清单、Lollapalooza 识别、逆向思考、too hard pile 判断转化为 可执行的投资与决策框架。每条规则标注原书 Talk 或章节。 触发词:「穷查理宝典」「Poor Charlie's Almanack」「多元思维模型」「误判心理学」 「25 条偏差清单」「Invert always invert」「Lollapalooza」。 用户问"这个决策哪里可能出错""我是不是在骗自己""这几个因素叠加会怎么样"时也可触发。

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. The repository describes itself as: 告诉 AI 你的职业,它帮你把工作拆成一套可以用的 Skill 库.

When your agent uses it

  • AI & LLM Engineering work in your project

Example prompts

  • “这个决策哪里可能出错”
  • “我是不是在骗自己”
  • “这几个因素叠加会怎么样”
  • “/investing-method-poor-charlie”

Workflow steps

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

  1. 激励-回报倾向 — 激励结构决定行为,不是人品
  2. 喜爱/讨厌倾向 — 因为喜欢某公司 CEO 就忽略财务问题
  3. 怀疑-回避倾向 — 面对不确定性倾向随便下结论,逃避悬念
  4. 不一致-回避倾向 — 承认错误认知失调,导致死拿亏损股
  5. 好奇心倾向 — 好用(多研究)也有坏(乱翻热点)
  6. 公平-回避倾向 — 因为"这个价格不公平"错过好投资
  7. 羡慕/嫉妒倾向 — 邻居赚钱你焦虑,追高
  8. 回馈倾向 — 对给你分析的分析师有回报冲动,失去独立判断
  9. 社会认同倾向 — 大家都在买,我也买
  10. 对比错误反应 — 因为最近跌了 50% 觉得便宜,忽略绝对估值
  11. 压力影响倾向 — 压力下 System 1 主导,决策变差
  12. 易得性倾向 — 最近新闻里出现的场景权重被高估

What it can do on your machine

Read from SKILL.md and the folder at commit 2627168. 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

Investing Method Poor Charlie loads about 1.2k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 422 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 422 words (~1,206 tokens).

“核心命题:投资和决策的胜负不在"追求聪明",在"避免愚蠢"。避免愚蠢的方法是——(1) 掌握多学科重大想法组成的思维模型格栅 (2) 用 25 条误判心理学清单反省自己 (3) 用逆向思考先看失败模式。”

— opening of SKILL.md by SpaceZephyr
name
investing-method-poor-charlie

Read the full SKILL.md on GitHub

Files

Just SKILL.md in 已制作Skill/投资/investing-method-poor-charlie of SpaceZephyr/career.skill.

Open the folder on GitHubat commit 2627168

Compare with similar skills

Investing Method Poor Charlie 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.

Investing Method Poor Charlie compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Investing Method Poor Charlie this skillSpaceZephyr/career.skill160—~1.2kAutomated safety check: PassNone
Agent BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs13k8 repos~3kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k8 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.9k14 repos~656Automated safety check: PassApache-2.0

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Questions about Investing Method Poor Charlie

What does Investing Method Poor Charlie do?

《穷查理宝典》(Peter Kaufman 编,2005 初版,2020 增订) 方法论。把芒格的多元思维模型格栅、 25 条误判心理学清单、Lollapalooza 识别、逆向思考、too hard pile 判断转化为 可执行的投资与决策框架。每条规则标注原书 Talk 或章节。. skill.

When should I use Investing Method Poor Charlie?

Investing Method Poor Charlie fits situations like: AI & LLM Engineering work in your project.

How do I install Investing Method Poor Charlie in Claude Code?

Run `npx skills add SpaceZephyr/career.skill --skill investing-method-poor-charlie -a claude-code`. Or copy the skill folder (已制作Skill/投资/investing-method-poor-charlie in SpaceZephyr/career.skill) into .claude/skills/investing-method-poor-charlie in your project. Claude Code loads it when a task matches its description.

How do I install Investing Method Poor Charlie in Codex?

Run `npx skills add SpaceZephyr/career.skill --skill investing-method-poor-charlie -a codex`. Or copy the skill folder (已制作Skill/投资/investing-method-poor-charlie in SpaceZephyr/career.skill) into .agents/skills/investing-method-poor-charlie in your project. Codex loads it when a task matches its description.

Can I use Investing Method Poor Charlie 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 SpaceZephyr/career.skill --skill investing-method-poor-charlie -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/investing-method-poor-charlie, .gemini/skills/investing-method-poor-charlie, .github/skills/investing-method-poor-charlie and .opencode/skills/investing-method-poor-charlie in your project.

What does Investing Method Poor Charlie need to run?

SKILL.md names no scripts, command-line tools or credentials: Investing Method Poor Charlie is instructions for the agent only.

Does Investing Method Poor Charlie 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 Investing Method Poor Charlie 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 Investing Method Poor Charlie use?

No licence was found for Investing Method Poor Charlie or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Investing Method Poor Charlie use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 Investing Method Poor Charlie?

Skills that share tags, products or a category with Investing Method Poor Charlie: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Investing Method Poor Charlie?

SpaceZephyr (a GitHub user) maintains it in SpaceZephyr/career.skill, which has 160 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on July 5, 2026.

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