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agenmod
steamer

蒸笼:蒸馏任何人的叙事入口——对齐数字永生引擎,强调生活化「蒸」与公开方法论顾问场景;委托上级 kit/personas 执行。

Overview

Publisheragenmod
Repositoryimmortal-skill
Skill namesteamer
Stars
1.1K
Forks
99
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

    Published by agenmod on GitHub. Read the source before you install it.

Installation

Install the Steamer 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/agenmod/immortal-skill/tree/main/steamer-skill
  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/agenmod/immortal-skill.git /tmp/immortal-skill
mkdir -p .claude/skills
cp -r /tmp/immortal-skill/steamer-skill .claude/skills/steamer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Steamer 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 Steamer 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 Steamer 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.

复制给 AI

  • 本 Skill 唯一入口:当前文件 steamer-skill/SKILL.md。
  • 仓库根:假定工作区为克隆后的 immortal-skill/(若文件夹改名,以存在 kit/immortal_cli.py 与根 SKILL.md 的目录为准)。
  • 执行蒸馏时:严格跟随本文件 Phase,技术细节与根目录 SKILL.md 对齐;采集/封包命令形如:python3 kit/immortal_cli.py ...(均在仓库根下执行)。
  • 聚合入口:也可让用户先读仓库根 FOR_AI.md 再选段落。

蒸笼 · Steamer

语言

根据用户第一条消息的语言,全程使用同一语言。

何时激活

  • 用户要「蒸馏任何人」「蒸一个数字分身」「用蒸笼那套」。
  • 用户从 蒸笼 README 或本文件进入,希望按 Phase 完成蒸馏。

核心理念

蒸笼 = 同一个数字永生引擎,换一副好讲的家常叙事。
技术动作与根目录 SKILL.md 一致:选角色 → 采集 → 分维度提取 → 证据分级 → 封包。

路径约定

  • 本 Skill 根目录记为 {baseDir}(即 steamer-skill/)。
  • 引擎根目录记为 {repoRoot} = {baseDir}/..(仓库根)。
  • CLI、personas、recipes 均在 {repoRoot} 下。

操作顺序

Phase 0:对齐预期(蒸笼专属)

  1. 确认对象:任何人;若涉及 公众人物 / 大佬 / 顶流,必须说明 仅使用公开、可追溯材料(讲演、论文、访谈、官方社交帖等)。
  2. 用一句话说清价值:借公开方法论当参谋,不冒充本人、不伪造发言。

Phase 1:选择角色模板

读取 {repoRoot}/personas/ 下对应模板;公众人物必读 {repoRoot}/personas/public-figure.md。

Phase 2:采集材料

按 {repoRoot}/recipes/intake-protocol.md 执行;CLI:python3 {repoRoot}/kit/immortal_cli.py ...。

Phase 3–6

与根 SKILL.md 的 Phase 3–6 完全一致(分维度提取、合并、manifest、告知用户)。

不做的事

  • 不编造非公开隐私;不鼓励未授权冒充真人。
  • 不把蒸笼实现成第二套分叉引擎——始终委托 {repoRoot} 已有工具链。

自检

  • 是否已向用户说明「蒸笼」与根 SKILL.md 是同一引擎?
  • 公众人物场景是否限定公开出处?

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 Steamer AI skill do?

蒸笼:蒸馏任何人的叙事入口——对齐数字永生引擎,强调生活化「蒸」与公开方法论顾问场景;委托上级 kit/personas 执行。

Why use Steamer on TypingMind?

Because you install it once and use it with any model. Steamer 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 Steamer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agenmod/immortal-skill/tree/main/steamer-skill. 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 Steamer?

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 Steamer?

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

Is the Steamer AI skill free?

Yes. It is published on GitHub by agenmod under the MIT license. 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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