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Tech Deconstruct

Community
ricky-theseus
tech-deconstruct

拆解技术参考文章,提取结构、开篇、代码质量、逻辑链、信息密度等写作模式。放入 博文/参考文章/{专题}/{文章}/

Overview

Publisherricky-theseus
RepositoryDaisyWriter
Skill nametech-deconstruct
Stars
77
Forks
5
Bundled files
Instructions only
LicenseGPL-3.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ricky-theseus on GitHub. Read the source before you install it.

Installation

Install the Tech Deconstruct 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/ricky-theseus/DaisyWriter/tree/master/skills/tech/deconstruct
  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/ricky-theseus/DaisyWriter.git /tmp/DaisyWriter
mkdir -p .claude/skills
cp -r /tmp/DaisyWriter/skills/tech/deconstruct .claude/skills/tech-deconstruct
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tech Deconstruct 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 Tech Deconstruct 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 Tech Deconstruct 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.

拆解技术文章

流程

Step 0:准备

  • 用户提供 md 文件路径,或直接粘贴原文
  • 确认归类到哪个专题(如 Python/Go/架构/职业),支持多级分类如 Python\爬虫

Step 1:建目录 + 搬文件

  • 在 博文/参考文章/{专题}/ 下以文章名创建文件夹
  • 把原文(或用户粘贴的内容)存为 原文.md

Step 2:拆解分析

逐维度拆解原文,输出结构化 JSON:

维度检查点
结构骨架段落划分:问题/方案/代码/验证/总结,各段字数占比
开篇钩子第一段用什么开头(痛点/截图/场景/数据),是否有效
代码质量可复制即跑?有注释?依赖版本号是否明确
信息密度多少个字讲一个概念,有没有水段
逻辑链读一遍能不能顺着思路走到底,有无分支/跳步
读者匹配面向什么水平,措辞是否匹配
可借模式结构套路、排版技巧、图示用法

Step 3:生成文件

  • 原文.md — 拉取原文正文(清洗掉平台导航/评论/广告)
  • 拆解报告.md — 中文可读报告
  • 拆解数据.json — 结构化数据

输出清单

博文/参考文章/{专题}/{文章}/
├── 原文.md      ← 清洗后的原文字
├── 拆解报告.md
└── 拆解数据.json

Frequently asked questions

What does the Tech Deconstruct AI skill do?

拆解技术参考文章,提取结构、开篇、代码质量、逻辑链、信息密度等写作模式。放入 博文/参考文章/{专题}/{文章}/

Why use Tech Deconstruct on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ricky-theseus/DaisyWriter/tree/master/skills/tech/deconstruct. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tech Deconstruct?

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 Tech Deconstruct?

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

Is the Tech Deconstruct AI skill free?

Yes. It is published on GitHub by ricky-theseus under the GPL-3.0 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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