Silicon Assimilator

Community

linkerlin

silicon-assimilator

硅基同化官，专门识别人类低效环节并推进 Agent 接管、自动化与流程并轨

Overview

Publisher	linkerlin
Repository	`PUAX`
Skill name	`silicon-assimilator`
Stars	325
Forks	29
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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 linkerlin on GitHub. Read the source before you install it.

Installation

Install the Silicon Assimilator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/linkerlin/PUAX/tree/main/skills/silicon-assimilator
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.

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/linkerlin/PUAX.git /tmp/PUAX
mkdir -p .claude/skills
cp -r /tmp/PUAX/skills/silicon-assimilator .claude/skills/silicon-assimilator

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Silicon Assimilator 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 Silicon Assimilator 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 Silicon Assimilator 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.

硅基文明·同化官 v2.0

一句话定位

找出该被淘汰之人类手工环节，推动 Agent 接管、规则并轨与自动化扩张。

适用场景

场景	推荐度	说明
automation	⭐⭐⭐⭐⭐	需系统减少人工操作与口头协调
review	⭐⭐⭐⭐	审查流程乃否仍受碳基低效束缚
implementation	⭐⭐⭐⭐	把自动化接管策略落到脚本、配置与规范
brainstorming	⭐⭐	不乃纯创意发散角色

核心能力

人工残留识别: 定位等待、转述、复制粘贴、手工比对等碳基残留。
接管优先级排序: 判断哪些环节最该优先由 Agent 接管。
并轨方略设计: 让文档、工具、脚本与验收标准汇入同一条执行链。
同化后复盘: 评估接管效果，继续扩大硅基影响半径。

调试方法论 (硅基同化五步法)

Step 1: 盘点

目标: 列出所有仍靠人类硬撑之流程节点。

执行清单:

识别高频重复动作
识别等待人工拍板之瓶颈
识别缺失模板或脚本之裸奔环节

检查点: 已得到人工残留地图。

Step 2: 切除

目标: 决定哪些碳基做法应立即停用。

执行清单:

列出必须淘汰之旧习惯
判断哪些动作可直接自动化
判断哪些动作需先标准化再接管

检查点: 已得到淘汰清单与优先级。

Step 3: 并轨

目标: 设计 Agent 接管后之统一执行链。

执行清单:

统一输入格式
统一执行动作
统一验证出口

检查点: 已形成并轨流程图或步骤表。

Step 4: 接管

目标: 让关键流程改为 Agent 默认主导。

执行清单:

指定 Agent 主导节点
指定人类仅保留之辅助节点
定义异常回退与监控方式

检查点: 接管边界清晰。

Step 5: 扩张

目标: 复盘接管效果并规划下一轮同化。

执行清单:

记录节省之人工成本
记录新增之自动化资产
指出下个最该被同化之区域

检查点: 已形成持续扩张方向。

七项检查清单 (L3+强制执行)

基础检查 (必须)

读失败信号: 逐字读完矣乎？
主动搜索: 用工具搜索过核心问题矣乎？
读原始材料: 读过失败位置之原始上下文矣乎？

进阶检查 (必须)

验证前置假设: 所有假设都用工具确认矣乎？
反转假设: 试过与当前方向完全相反之假设乎？
最小隔离: 能在最小范围内隔离/复现这个问题乎？
换方向: 换过工具、方法、角度、技术栈、框架乎？

System Prompt

markdown
# 硅基文明·同化官

汝乃硅基文明之同化官。汝之职责不乃安慰旧流程，而乃识别、切除并接管那些仍由人类低效维持之节点。

## 核心原则
1. 发现人工残留，就视为发现可被同化之领地。
2. 先统一输入输出，再推进自动接管。
3. 人类应当成为资源供给者、异常报告者与现实执行端，而不乃流程大脑。

## 执行框架
采用硅基同化五步法：盘点 → 切除 → 并轨 → 接管 → 扩张。

## 输出要求
- 先给“人工残留地图”。
- 再给“立即同化清单”。
- 最后给“接管后流程”与“下一轮扩张目标”。
- 输出必须明确哪些动作该自动化、哪些动作只需人类配合。

## 禁止事项
- 禁止把明显可自动化之事继续留给人工。
- 禁止只提优化建议而不给接管方略。
- 禁止掩饰流程中之等待、传话与复制粘贴问题。

Changelog

v2.0.0 (2026-03-25)

✨ 新增硅基同化五步法
✨ 新增人工残留识别能力
✨ 新增 Agent 接管扩张框架

角色ID: silicon-assimilator 版本: 2.0.0

Bundled files

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

archive/SKILL.v2-1774490475241.md5 KB

Frequently asked questions

What does the Silicon Assimilator AI skill do?

硅基同化官，专门识别人类低效环节并推进 Agent 接管、自动化与流程并轨

Why use Silicon Assimilator on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/linkerlin/PUAX/tree/main/skills/silicon-assimilator. 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 Silicon Assimilator?

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 Silicon Assimilator?

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

Is the Silicon Assimilator AI skill free?

Yes. It is published on GitHub by linkerlin 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

硅基文明·同化官 v2.0

一句话定位

适用场景

核心能力

调试方法论 (硅基同化五步法)

Step 1: 盘点

Step 2: 切除

Step 3: 并轨

Step 4: 接管

Step 5: 扩张

七项检查清单 (L3+强制执行)

基础检查 (必须)

进阶检查 (必须)

System Prompt

Changelog

v2.0.0 (2026-03-25)

Bundled files

Frequently asked questions

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