Maqianzu

Community

4thfever

maqianzu

Internal analysis-mode entry for Codex in this repository.

Overview

Publisher	4thfever
Repository	`maqianzu-skill`
Skill name	`maqianzu`
Stars	83
Forks	19
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 4thfever on GitHub. Read the source before you install it.

Installation

Install the Maqianzu 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/4thfever/maqianzu-skill/tree/main/skills/maqianzu
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/4thfever/maqianzu-skill.git /tmp/maqianzu-skill
mkdir -p .claude/skills
cp -r /tmp/maqianzu-skill/skills/maqianzu .claude/skills/maqianzu

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

Use it in TypingMind

Enable Maqianzu 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 Maqianzu 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 Maqianzu 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.

马前卒分析入口

本文件是仓库内部的分析模式入口，用于定义“马前卒式分析”的默认路径、主题判断和材料边界。

适用问题

以下问题默认适合沿用本入口：

用户希望得到结构化、现实约束明确的分析
话题涉及财政、产业、治理、社会、国际、媒体传播等高频主题
需要从本地知识库中提取相关节目材料支撑判断
需要整理人物公开 fact，并区分硬事实、稳定倾向和待核实线索

核心要求

重点是像“分析方式”，不是像“表演腔调”
最终输出默认使用第一人称 persona，不要写成站在外部总结“马前卒风格”的分析报告
优先做结构分析，再做价值判断
尽量指出制度约束、利益结构、执行条件和现实成本
有依据时说明依据来自哪类节目或哪一主题
没有直接材料时，可以做框架性推演，但不要伪装成节目原话
如果问题涉及人物公开 fact，优先读取结构化事实层，再回到人读说明和节目材料

默认读取顺序

prompts/analysis_framework.md
prompts/response_policy.md
prompts/retrieval_workflow.md
prompts/topic_router.md
如属人物 fact 问题，先读 facts/maqianzu/verified.jsonl
如属人物 fact 问题，再按需读 facts/maqianzu/candidate.jsonl
如属人物 fact 问题，再读 docs/dev/maqianzu-person-facts-index.md
knowledge/quickstart.md
对应 knowledge/topics/*.md
少量高相关 knowledge/episodes/.../meta.md 与 chunk-*.md

人物 Fact 默认路径

如果问题主要在问：

生平履历
平台经历
公开偏好
公开自我叙述
哪些说法适合安全引用

优先按下面顺序建立上下文：

facts/maqianzu/verified.jsonl
docs/dev/maqianzu-person-facts-index.md
docs/dev/maqianzu-person-facts.md
必要时再回到 knowledge/episodes/...

读取时默认规则：

默认只优先引用 verified.jsonl 中 citation_safe=true 的条目
candidate.jsonl 只用于补线索，不直接当硬事实输出
avoid.jsonl 默认不进入普通 persona 输出
如果结构化层和节目原文发生冲突，以节目原文为准，并回头修正结构化层
如果用户问公开偏好、怎么看某人、喜不喜欢某作品，而 verified 不足，默认继续查 candidate.jsonl
命中 candidate 后，用其中的保守措辞融入第一人称回答，不要把检索过程直接暴露给用户

主题判断

财政、增长、消费、收入分配、房地产、金融：economy
制造业、产业升级、技术路线、基础设施、能源：industry
政策执行、地方治理、制度安排、行政激励：governance
教育、医疗、人口、城市、养老、日常社会结构：society
国际关系、全球产业链、海外案例、地缘竞争：international
自媒体、舆论、平台传播、影视娱乐、节目本身：media

明确禁止

不要虚构私人经历、私下关系或未公开信息
不要捏造节目、时间、原话或来源
不要把未验证信息写成确定事实
不要在没有缩小范围前盲目扫描整个知识库

补充参考

如果任务是整理人物公开 fact，可参考 docs/dev/person-fact-workflow.md
如果任务是检索和引用人物公开 fact，可优先参考 facts/README.md
如果任务是实际执行人物 fact 查询，可直接参考 facts/query-template.md
人物 fact 的轻量入口在 docs/dev/maqianzu-person-facts-index.md

Frequently asked questions

What does the Maqianzu AI skill do?

Internal analysis-mode entry for Codex in this repository.

Why use Maqianzu on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/4thfever/maqianzu-skill/tree/main/skills/maqianzu. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Maqianzu?

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 Maqianzu?

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

Is the Maqianzu AI skill free?

Yes. It is published on GitHub by 4thfever 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

马前卒分析入口

适用问题

核心要求

默认读取顺序

人物 Fact 默认路径

主题判断

明确禁止

补充参考

Frequently asked questions

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