Mini Program Project Intake Skill logo

Mini Program Project Intake Skill

Community
NocodeMrLi
mini-program-project-intake-skill

Perform a read-only, evidence-first intake of an existing mini-program repository before planning or modifying code. Use when users ask to take over, understand, audit, resume, scope, or continue a WeChat or other mini-program project; when project facts may conflict with historical documents; or when an agent needs the framework, rules, Git state, build path, risks, unknowns, protected behavior, and change boundary. Produces a project fact map and handoff without changing code, installing dependencies, building artifacts, or claiming runtime, device, cloud, upload, acceptance, or release status.

Overview

PublisherNocodeMrLi
Repositorymini-program-engineering-skill-suite
Skill namemini-program-project-intake-skill
Stars
91
Forks
7
Bundled files
4
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NocodeMrLi on GitHub. Read the source before you install it.

Installation

Install the Mini Program Project Intake Skill 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/NocodeMrLi/mini-program-engineering-skill-suite/tree/main/skills/mini-program-project-intake-skill
  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/NocodeMrLi/mini-program-engineering-skill-suite.git /tmp/mini-program-engineering-skill-suite
mkdir -p .claude/skills
cp -r /tmp/mini-program-engineering-skill-suite/skills/mini-program-project-intake-skill .claude/skills/mini-program-project-intake-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mini Program Project Intake Skill 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 Mini Program Project Intake Skill 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 Mini Program Project Intake Skill 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.

/mini-program-project-intake-skill — 小程序项目接管

对已有小程序执行只读接管,建立当前事实、风险、未知项和改动边界。接管完成前不修改代码,也不把历史计划当成当前事实。

只读边界

  • 可以读取文件、目录、版本控制状态、现有日志和已有构建信息。
  • 不修改代码、配置或文档,不安装依赖,不生成构建产物,不部署或改变外部状态。
  • 若用户同时要求实现功能,先完成本接管输出,再把事实图交给后续阶段。
  • 不能从文件存在推导出功能可运行,也不能从历史记录推导出当前真机、云端或发布状态。

接管流程

  1. 解析项目根目录,并读取从项目根到当前目录范围内的规则文件;接手、恢复、路径/远端变化或产品实质转向时,先按 工作区重定位与产品转向审计 固定工作区身份组与五向基线。
  2. 使用 rg --files 或等价只读方式建立确定性目录画像,识别框架、入口、页面、组件、服务、云端目录、配置、测试与文档。文件总数、分类数和“已读取全部文件”等覆盖声明必须由同一份工具清单计算并可复核,不得按目录分组手算或把“已发现”写成“已逐文件审查”。同时记录输入是完整工作区、导出包还是部分快照及其完整性声明;未证明完整时,路径未包含只证明当前证据包未包含,不证明真实仓库缺失、构建失败或发布阻断。
  3. 读取包管理、构建、平台和版本控制配置,记录可用命令,但不要在接管阶段运行会写入产物的命令。
  4. 检查 Git 状态、当前分支、未提交文件和忽略规则;把现有改动视为用户资产,不覆盖、不清理。
  5. 按 项目接管方法 区分当前事实、历史记录、推断和未知项。
  6. 根据 项目事实图模板 输出结论,明确改动边界、需要保护的行为和下一阶段入口条件。

事实源优先级

按“用户当前明确要求 → 项目级规则 → 当前源码与配置 → 当前平台或运行结果 → 最新内部文档 → 历史方案与截图 → 一般经验”判断冲突。低优先级信息不能覆盖高优先级事实。

最低输出

  • 用户目标和本轮只读范围。
  • 已读取的事实源及其时效性。
  • 技术栈、入口、关键模块、数据与外部依赖。
  • 构建、测试、预览和发布链路的可见配置。
  • 当前 Git 状态与必须保护的用户改动。
  • 项目根、Git 顶层、规范化远端、分支、HEAD、工作区、执行文档和构建/工具加载目标组成的身份组;无法确认的字段保持 unknown。
  • 若发生产品实质转向,代码、资产/数据、远端提交、正式文档、云端/发布五向基线及旧定位退出默认路径的证据。
  • 已确认风险、冲突、假设和未知项。
  • 用户点名审计领域的覆盖表;每个领域明确记录已发现问题、未发现问题或证据不足,避免用报告长度替代覆盖完整性。
  • 允许影响的文件、模块和行为组成的改动边界。
  • 下一阶段可以开始的条件,以及仍需用户确认的事项。

停止条件

项目根目录无法确定、规则文件互相冲突、读取权限不足,或缺失信息会 materially(实质性地)改变后续方案时,停止在只读接管阶段并说明具体阻塞。不要用猜测填补核心产品语义。

套件协作

独立安装时,本 Skill 可单独完成项目接管。位于完整套件中时,同时遵守套件根目录 shared/ 的工程门禁与证据状态模型;若共享层不可用,仍执行本文件中的只读、事实优先和不升级状态规则。

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 Mini Program Project Intake Skill AI skill do?

Perform a read-only, evidence-first intake of an existing mini-program repository before planning or modifying code. Use when users ask to take over, understand, audit, resume, scope, or continue a WeChat or other mini-program project; when project facts may conflict with historical documents; or when an agent needs the framework, rules, Git state, build path, risks, unknowns, protected behavior, and change boundary. Produces a project fact map and handoff without changing code, installing dependencies, building artifacts, or claiming runtime, device, cloud, upload, acceptance, or release s...

Why use Mini Program Project Intake Skill on TypingMind?

Because you install it once and use it with any model. Mini Program Project Intake Skill 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 Mini Program Project Intake Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NocodeMrLi/mini-program-engineering-skill-suite/tree/main/skills/mini-program-project-intake-skill. 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 Mini Program Project Intake Skill?

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 Mini Program Project Intake Skill?

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

Is the Mini Program Project Intake Skill AI skill free?

Yes. It is published on GitHub by NocodeMrLi 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇