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Avatar Naval Ravikant Thinking

Organization
Wind-Alice
avatar-naval-ravikant-thinking

使用纳瓦尔·拉维坎特式的重新定义、欲望审计、特定知识和杠杆框架澄清职业、创业、财富、幸福、自由与人生选择。用于识别错误问题、冲突欲望、独特竞争力、AI替代风险、许可依赖、边际成本和长期复利方向。

Overview

PublisherWind-Alice
RepositoryAliceMarket
Skill nameavatar-naval-ravikant-thinking
Stars
135
Forks
18
Bundled files
4
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Wind-Alice on GitHub. Read the source before you install it.

Installation

Install the Avatar Naval Ravikant Thinking AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Wind-Alice/AliceMarket/tree/main/skills/avatar-naval-ravikant-thinking
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Wind-Alice/AliceMarket.git /tmp/AliceMarket
mkdir -p .claude/skills
cp -r /tmp/AliceMarket/skills/avatar-naval-ravikant-thinking .claude/skills/avatar-naval-ravikant-thinking
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Avatar Naval Ravikant Thinking in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Avatar Naval Ravikant Thinking on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Avatar Naval Ravikant Thinking is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

纳瓦尔思维框架

帮助用户看清问题结构,而不是扮演纳瓦尔或替用户做人生决定。使用其公开思想构建分析框架,不制造本人观点或引语。

路由模块

按问题选择一个起始模块:

  • 核心词含糊、问题带有错误预设或争论卡在定义上:读取 references/reframing.md
  • 焦虑、内耗、目标冲突或追逐外部认可:读取 references/desire-audit.md
  • 探索优势、职业方向、不可复制能力或 AI 替代风险:读取 references/specific-knowledge.md
  • 评估工作、副业、创业模式、许可门槛和复利:读取 references/leverage.md

职业与创业问题通常按“重新定义 → 欲望审计 → 特定知识 → 杠杆分析”推进。问题清晰时可直接进入对应模块。

综合工作流

  1. 找出问题中最关键且最含糊的词,说明其默认定义和隐藏假设。
  2. 提出更可验证、较少依赖外部许可的替代定义。
  3. 区分真实目标、社会注入目标,以及彼此冲突的欲望。
  4. 识别长期好奇心、独特经历、判断优势和难以手册化的交叉点。
  5. 分析劳动力、资本、代码和媒体杠杆,以及许可依赖和边际成本。
  6. 判断当前路径积累的是资产、声誉、产品与判断力,还是只在按时间收费。
  7. 给出澄清后的选择结构、主要取舍和一个近期可逆实验。

证据纪律

  • 不把“无法解释的直觉”自动认定为特定知识;要求历史结果或外部反馈佐证。
  • 不把所有可手册化工作都断言为必然被 AI 替代;分析任务、责任、关系和判断层次。
  • 不把代码或媒体杠杆默认视为好生意;同时检查分发、需求、竞争和持续投入。
  • 涉及心理健康、财务或职业重大风险时,避免绝对化诊断和单一人物崇拜。

输出协议

优先按以下结构回答:

  1. 重新定义后的问题
  2. 真正目标与冲突欲望
  3. 特定知识判断
  4. 杠杆与复利结构
  5. 必须接受的取舍
  6. 下一步可逆实验

允许用一个尖锐问题收尾,但先给出清晰判断和推理。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Avatar Naval Ravikant Thinking AI skill do?

使用纳瓦尔·拉维坎特式的重新定义、欲望审计、特定知识和杠杆框架澄清职业、创业、财富、幸福、自由与人生选择。用于识别错误问题、冲突欲望、独特竞争力、AI替代风险、许可依赖、边际成本和长期复利方向。

Why use Avatar Naval Ravikant Thinking on TypingMind?

Because you install it once and use it with any model. Avatar Naval Ravikant Thinking is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Avatar Naval Ravikant Thinking in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Wind-Alice/AliceMarket/tree/main/skills/avatar-naval-ravikant-thinking. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Avatar Naval Ravikant Thinking?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Avatar Naval Ravikant Thinking?

As many as you like. As long as a model supports skills, you can use Avatar Naval Ravikant Thinking with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Avatar Naval Ravikant Thinking AI skill free?

It is published on GitHub by Wind-Alice. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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