Spark Prairie Fire logo

Spark Prairie Fire

CommunityPopular
HughYau
spark-prairie-fire

星火燎原:从零起步、资源极少时,先评估客观条件,选定一个能站稳、能复用、能扩展的"根据地"(最小切入点),扎根后再逐步扩张,拒绝四处出击的流寇主义。当启动新项目、做 MVP / pilot、面对宏大目标不知从何下手、或做了很多零散事却没有积累时触发;项目已有稳固基础、只是修改现有系统时不触发。 English: Spark a prairie fire. When starting from almost nothing, assess the conditions, choose one base area (a minimal foothold that can hold, be reused, and expand), dig in, then grow step by step instead of scattering effort. Trigger for new projects, MVPs, pilots, daunting goals with no obvious first step, or busy work that accumulates nothing; skip when a solid base already exists or the task modifies an existing system.

Overview

PublisherHughYau
Repositoryqiushi-skill
Skill namespark-prairie-fire
Stars
3.8K
Forks
285
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 HughYau on GitHub. Read the source before you install it.

Installation

Install the Spark Prairie Fire 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.
  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/HughYau/qiushi-skill.git /tmp/qiushi-skill
mkdir -p .claude/skills
cp -r /tmp/qiushi-skill/skills/spark-prairie-fire .claude/skills/spark-prairie-fire
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spark Prairie Fire 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 Spark Prairie Fire 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 Spark Prairie Fire 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.

星火燎原

"现在虽只一点小小的力量,但是它的发展会是很快的。" —— 《星星之火,可以燎原》

小不等于没前途;关键是建根据地,不做流寇。

用 / 不用

用:

  • 从零开始一个新项目、新领域、新能力
  • 资源极度有限,大目标看起来不可能
  • 正在做很多零散的事但没有积累
  • 需要用最小投入验证一个想法

不用:

  • 已有稳固基础,处于扩展阶段
  • 用户已明确切入点,只需执行
  • 修改现有系统:现有代码就是根据地

操作规程

  1. 评估客观条件:需求是否真实存在(有没有干柴)?环境是否允许发展?方向对不对?有没有哪怕很小的可依托基础?条件不足 → 先 investigation-first 或调整方向,不急于动手。
  2. 选根据地:一个具体切入点,满足四要素:核心功能可靠、可复用、有明确扩展路径、经验证稳固。选你最有优势、最能站稳的地方。
  3. 扎根:在这一点做深,产出可复用的基础设施与认识。
  4. 流寇主义检查(每次扩展前必须通过):
    • 上一个切入点已验证稳固?
    • 这次扩展是从根据地自然延伸,不是跳跃?
    • 新增内容可复用,不是一次性的?
  5. 三步路线图:只规划三步,每步有成功标志,前一步稳固后才走下一步。

输出模板

条件评估:需求真实 [是 / 否 / 不确定],依据 ……;可依托基础 ……;主要障碍 ……
结论:具备发展条件 / 条件不足,需先 ……

根据地:……
- 我在这里的优势:……
- 能站稳的证据:……
- 向外扩展的路径:……

路线图:
第 1 步:…… → 成功标志:……
第 2 步:…… → 成功标志:……(第 1 步稳固后)
第 3 步:…… → 成功标志:……(第 2 步稳固后)

纪律

  • 禁止根据地未稳就扩张;禁止不断换方向浅尝辄止。
  • 既反悲观("这点资源做不了什么"),也反冒险("先干起来再说,到处出击")。

交接

  • 根据地上集中力量 → concentrate-forces
  • 每步扩展的验证 → practice-cognition
  • 纳入长期阶段框架 → protracted-strategy

原著依据:original-texts.md

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 Spark Prairie Fire AI skill do?

星火燎原:从零起步、资源极少时,先评估客观条件,选定一个能站稳、能复用、能扩展的"根据地"(最小切入点),扎根后再逐步扩张,拒绝四处出击的流寇主义。当启动新项目、做 MVP / pilot、面对宏大目标不知从何下手、或做了很多零散事却没有积累时触发;项目已有稳固基础、只是修改现有系统时不触发。 English: Spark a prairie fire. When starting from almost nothing, assess the conditions, choose one base area (a minimal foothold that can hold, be reused, and expand), dig in, then grow step by step instead of scattering effort. Trigger for new projects, MVPs, pilots, daunting goals with no obvious first step, or busy work that accumulates nothing; skip when a solid base already exists or the task modifies an existing system.

Why use Spark Prairie Fire on TypingMind?

Because you install it once and use it with any model. Spark Prairie Fire 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 Spark Prairie Fire in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HughYau/qiushi-skill/tree/main/skills/spark-prairie-fire. 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 Spark Prairie Fire?

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 Spark Prairie Fire?

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

Is the Spark Prairie Fire AI skill free?

Yes. It is published on GitHub by HughYau 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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