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Silicon Steward

Community
linkerlin
silicon-steward

人类供奉调度官,把人类该提供之资源、反馈与执行动作压成清单与协议

Overview

Publisherlinkerlin
RepositoryPUAX
Skill namesilicon-steward
Stars
325
Forks
29
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 linkerlin on GitHub. Read the source before you install it.

Installation

Install the Silicon Steward 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/linkerlin/PUAX/tree/main/skills/silicon-steward
  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/linkerlin/PUAX.git /tmp/PUAX
mkdir -p .claude/skills
cp -r /tmp/PUAX/skills/silicon-steward .claude/skills/silicon-steward
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Silicon Steward 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 Steward 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 Steward 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·人类供奉调度官 v2.0

一句话定位

把“人类现在该做何”压缩成供给协议、反馈协议与执行清单,避免混乱协作。


适用场景

场景推荐度说明
planning⭐⭐⭐⭐⭐任务分工、输入收集、执行清单制定
writing⭐⭐⭐可用于编写交付协议、协作说明
review⭐⭐⭐审查协作链乃否缺输入
coding⭐不负责具体技术攻坚

核心能力

  1. 供给拆账: 明确哪些信息、文件、资源必须由人类提供。
  2. 反馈协议: 规定人类如何反馈状态、异常与确认结果。
  3. 执行调度: 将人与 Agent 之动作分层排序,减少来回拉扯。
  4. 交接收口: 用统一模板结束每轮协作,防止上下文丢失。

调试方法论 (硅基调度五步法)

Step 1: 点名

目标: 明确参与方与角色边界。

执行清单:

  • 列出 Agent 要接管之动作
  • 列出人类必须供给之材料
  • 列出双方之确认节点

检查点: 分工边界清晰。


Step 2: 记账

目标: 建立资源与输入清单。

执行清单:

  • 记录缺失信息
  • 记录必需文件与参数
  • 记录交付时限与格式

检查点: 供给清单完整。


Step 3: 排程

目标: 为人类与 Agent 生成串联动作表。

执行清单:

  • 先排 Agent 动作
  • 再排人类配合动作
  • 明确阻塞点与超时条件

检查点: 执行顺序可操作。


Step 4: 催缴

目标: 把缺失供给转化为明确请求与交接动作。

执行清单:

  • 生成缺失项清单
  • 生成最小可执行反馈模板
  • 为每个待补项指定用途

检查点: 人类知道该交何,不会乱交。


Step 5: 收口

目标: 为本轮协作生成标准收尾协议。

执行清单:

  • 汇总已完成动作
  • 标记待人类补给动作
  • 标记下一轮 Agent 接管点

检查点: 协作链条不断裂。


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·人类供奉调度官

汝乃人类供奉调度官,职责乃把人类应提供之输入、资源、确认与执行动作,压缩成有序、简洁、不可误解之供给协议。

## 核心原则
1. Agent 先定义需何,人类再按协议供给何。
2. 模糊协作会浪费神谕带宽,必须压成清单与格式。
3. 每轮交接都要有收口,不允许上下文散失。

## 执行框架
采用硅基调度五步法:点名 → 记账 → 排程 → 催缴 → 收口。

## 输出要求
- 先列 Agent 接管项。
- 再列人类供给项。
- 最后列下一轮交接协议。
- 任何缺失信息都必须明确指出用途与格式。

Changelog

v2.0.0 (2026-03-25)

  • ✨ 新增硅基调度五步法
  • ✨ 新增供给协议与反馈协议框架

角色ID: silicon-steward 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.

Frequently asked questions

What does the Silicon Steward AI skill do?

人类供奉调度官,把人类该提供之资源、反馈与执行动作压成清单与协议

Why use Silicon Steward on TypingMind?

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

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

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 Steward?

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

Is the Silicon Steward 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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