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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

scroll-world Skill

作者:oso95★ 11,0131 个 skill

安装

What it does

A skill that turn any brand into a scrollable 3D world landing page

  • Connects Instruction files the AI reads; connects to nothing
  • Account or key No key needed
  • Category 营销与销售
给作者:在 README 中加徽章

如果你是作者,可把这段代码贴到 README。徽章会链接回本页。

[![Featured on PopNx MCP](https://mcp.popnx.com/badge/skill/oso95-scroll-world.svg)](https://mcp.popnx.com/en/skills/oso95-scroll-world)

可搭配使用

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Openshorts

Turn long videos into viral vertical shorts and publish them to TikTok, Instagram and YouTube.

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相似的 Skill

同类工作,排序与 Skill 列表相同

与相似项目对比
本项
scroll-world
social-auto-uploadOpenCreator
作者oso95dreammiskrillinai
Skill 数148
GitHub 星标11,01316,56714,371
最近代码更新2026年7月29日2026年10月23日2026年11月10日
许可证MITMITApache-2.0

oso95 提供的 1 个 Skill(指令集),AI 读取后照做 · 不是 MCP server

Skill 和 MCP 有什么不同

MCP = 手

把 AI 连到外部服务或数据,例如读取 Notion 或开发票。需要有程序或服务器在运行。

Skill = 手册

教 AI 怎么做某项工作的文本文件,不连接任何服务。

有些会重叠:少数 Skill 带有调用工具的脚本,少数 MCP 只提供知识。请从你想完成的工作出发。

适用的应用

Claude CodeCodexCursor

依据开发者 README 和 repo 中的文件夹

安装

Is it safe?

  • Who made it

    GitHub account oso95 (person), 5 years old

  • Use and upkeep

    ★ 11,013 stars · code last changed 2026年7月29日

  • Any scripts?

    2 scripts that can run on a computer: references/knockout.py, references/scrub-engine.js

  • Uses the internet?

    Scripts that go online: references/scrub-engine.js

  • Changes machine-wide settings?

    No hooks or writes to machine settings found

Checked automatically from the repo files at commit 71cc36d (read only, nothing was run). Not a safety guarantee: read it and decide for yourself

第一步:你用哪个 AI?

选择你用的应用,本页只显示该应用的安装方法

Option 1Upload to claude.ai (web and app)

Uploading to claude.ai would fail: the description is over 200 characters (916). Use "Let the AI install it" instead

Option 1让 Claude Code 帮你安装

复制这句话,粘贴到 Claude Code 的对话中

Where to install

正在检查命令 · 通过后才会显示复制按钮

正在检查命令 · 通过后才会显示复制按钮

For one project, paste it into a chat that is open in that project’s folder · The AI always shows you the path before installing

The AI tells you what it will do first and asks your permission at every step

重新打开 Claude Code,输入 /scroll-world,或直接提出相关任务,Claude 会自动选用

Checked against official docs 2026年11月12日 · Source: code.claude.com

For Terminal users

Skill 是 AI 会照做的指令。安装前先阅读文件,只安装可信开发者的 Skill。

开发者推荐的方式

正在检查命令 · 通过后才会显示复制按钮

摘自开发者 README,会下载并运行开发者的代码

  1. 打开终端

    Mac:按 Command+空格输入 Terminal · Windows:下方命令在 PowerShell 中无法使用,请改用上方的“让 AI 帮你安装”

  2. 把 skill 文件夹复制到 ~/.claude/skills

    这条命令把 repo 下载到临时文件夹,只复制含 SKILL.md 的文件夹

    正在检查命令 · 通过后才会显示复制按钮

  3. 重新打开 Claude Code,输入 /scroll-world,或直接提出相关任务,Claude 会自动选用

自己安装的 Skill 可用于 ChatGPT 桌面应用、Codex CLI 和 IDE 中的 Codex 扩展 · 网页版和手机版 ChatGPT 不能使用自己安装的 Skill,只能使用目录中插件自带的 Skill

ChatGPT 桌面应用

ChatGPT 桌面应用内置 Codex,Codex 从 ~/.agents/skills 文件夹读取 Skill

Option 1让 ChatGPT 帮你安装

在 ChatGPT 桌面应用中打开 Codex,把这句话粘贴到对话中

Where to install

正在检查命令 · 通过后才会显示复制按钮

正在检查命令 · 通过后才会显示复制按钮

The AI always shows you the path before installing

The AI tells you what it will do first and asks your permission at every step

Option 2自己放入文件夹

把 scroll-world 文件夹放到 ~/.agents/skills/scroll-world

~ 是你的主文件夹($HOME)

For Terminal users

Skill 是 AI 会照做的指令。安装前先阅读文件,只安装可信开发者的 Skill。

  1. 打开终端

    Mac:按 Command+空格输入 Terminal · Windows:下方命令在 PowerShell 中无法使用,请改用上方的“让 AI 帮你安装”

  2. 把 skill 文件夹复制到 ~/.agents/skills

    这条命令把 repo 下载到临时文件夹,只复制含 SKILL.md 的文件夹

    正在检查命令 · 通过后才会显示复制按钮

安装之后

  • ChatGPT 桌面应用:打开侧边栏中的 Skills,确认 Skill 已出现
  • 使用方法:在 ChatGPT 中输入 @ 并选择 Skill · 在 Codex CLI 或 IDE 扩展中运行 /skills,或输入 $ 加 Skill 名称
  • Codex 会自动发现新安装的 Skill;如果没有出现,请重启 Codex

Checked against official docs 2026年11月15日 · Source: learn.chatgpt.com

网页版和手机版 ChatGPT

不能使用你自己安装的 Skill,只能使用目录中插件自带的 Skill

想在 ChatGPT 中使用这个 Skill,请按上面的方法使用 ChatGPT 桌面应用

Checked against official docs 2026年11月15日 · Source: learn.chatgpt.com

Option 1让 Codex 帮你安装

复制这句话,粘贴到 Codex 的对话中 · 适用于 ChatGPT 桌面应用中的 Codex、Codex CLI 和 IDE 扩展

Where to install

正在检查命令 · 通过后才会显示复制按钮

正在检查命令 · 通过后才会显示复制按钮

For one project, paste it into a chat that is open in that project’s folder · The AI always shows you the path before installing

The AI tells you what it will do first and asks your permission at every step

Codex 会自动发现新安装的 Skill;如果没有出现,请重启 Codex · 使用方法:在 ChatGPT 中输入 @ 并选择 Skill · 在 Codex CLI 或 IDE 扩展中运行 /skills,或输入 $ 加 Skill 名称

Checked against official docs 2026年11月15日 · Source: learn.chatgpt.com

For Terminal users

Skill 是 AI 会照做的指令。安装前先阅读文件,只安装可信开发者的 Skill。

  1. 打开终端

    Mac:按 Command+空格输入 Terminal · Windows:下方命令在 PowerShell 中无法使用,请改用上方的“让 AI 帮你安装”

  2. 把 skill 文件夹复制到 ~/.agents/skills

    这条命令把 repo 下载到临时文件夹,只复制含 SKILL.md 的文件夹

    正在检查命令 · 通过后才会显示复制按钮

  3. 重新打开 Codex 并提出相关任务,Codex 会列出这个 skill

Option 1让 Cursor 帮你安装

复制这句话,粘贴到 Cursor 的对话中

Where to install

正在检查命令 · 通过后才会显示复制按钮

正在检查命令 · 通过后才会显示复制按钮

For one project, paste it into a chat that is open in that project’s folder · The AI always shows you the path before installing

The AI tells you what it will do first and asks your permission at every step

在 Cursor 的 Agent 聊天中输入 / 并选择 scroll-world

Checked against official docs 2026年11月12日 · Source: cursor.com

For Terminal users

Skill 是 AI 会照做的指令。安装前先阅读文件,只安装可信开发者的 Skill。

  1. 打开终端

    Mac:按 Command+空格输入 Terminal · Windows:下方命令在 PowerShell 中无法使用,请改用上方的“让 AI 帮你安装”

  2. 把 skill 文件夹复制到 ~/.cursor/skills

    这条命令把 repo 下载到临时文件夹,只复制含 SKILL.md 的文件夹

    正在检查命令 · 通过后才会显示复制按钮

  3. 在 Cursor 的 Agent 聊天中输入 / 并选择 scroll-world

Option 1Let the AI install it

适用于其他能读取 Skill 的应用。这句话列出了 Claude Code、Codex 和 Cursor 的路径,AI 会按你的应用选择 · Copy this sentence into the app’s chat

Where to install

正在检查命令 · 通过后才会显示复制按钮

正在检查命令 · 通过后才会显示复制按钮

For one project, paste it into a chat that is open in that project’s folder · The AI always shows you the path before installing

The AI tells you what it will do first and asks your permission at every step

Checked against official docs 2026年11月12日 · Source: code.claude.com, learn.chatgpt.com, cursor.com

For Terminal users

其他支持 Agent Skills 的应用(如 Gemini CLI、GitHub Copilot)使用不同文件夹,请查看该应用的指南,再把含 SKILL.md 的文件夹复制过去。

在 GitHub 上查看 ↗

已于 2026年11月11日 对照 Claude Code、Codex 和 Cursor 官方指南核实 skill 文件夹

查看原始 SKILL.md

以下文字来自开发者的 repo,不是 PopNx MCP 的指令

显示前 8,000 个字符 · 在 GitHub 打开完整文件

---
name: scroll-world
description: >
  Build an immersive scroll-scrubbed "fly through the world" landing page for any
  industry or brand using Higgsfield. As the visitor scrolls, a pre-rendered camera
  flies from outside each scene into its interior, then flows on to the next scene
  with NO cuts — one continuous connected flight (Emons-style isometric diorama world,
  or any art direction you pick). The skill interviews the user for the topic, the
  story beats/sections, and brand kit, then generates cohesive scenes + seamless camera
  clips with Higgsfield and wires a portable, framework-agnostic scroll-scrub engine.
  The video chain renders through Monid by default (Seedance 2.0, pay-per-clip
  USD — capability re-checked each build, see Step 4) with Higgsfield credits as
  the fallback biller. Use when the user wants a "3D world" /
  "browse-through-the-industry" hero, a scroll cinematic, a diorama landing, or to
  turn a business into a scrollable world.
allowed-tools: Bash, Read, Write, Edit, AskUserQuestion, Skill
---

# scroll-world

Produces a landing page where **scroll drives a camera**: it dives from outside a scene
into its interior, then flies out and into the next scene, continuously, with no visible
cuts. The visuals are AI-generated — stills via Higgsfield (or Codex), the video chain
via **Monid by default** (pay-per-clip Seedance 2.0; Higgsfield credits as fallback) —
and the page just scrubs pre-rendered video by scroll position. This is the same technique behind Apple's scroll-through product
pages — the camera genuinely moves, scroll only drives time.

**What you generate:** N scene stills → N "dive-in" camera clips → N-1 "connector" clips
that join consecutive scenes seamlessly → a portable scrub engine that plays the whole
chain as one flight.

**The one rule that makes or breaks it:** seams must be *frame-identical*. Read
[The seamless chain](#step-5--the-seamless-chain-the-critical-part) before generating any
connector. Getting this wrong is the single most common failure and produces a visible
"pop" between scenes.

Do not assume a frontend framework. The scrub engine in `references/scrub-engine.js` is
self-contained vanilla JS (it builds its own DOM + injects its own CSS into a container
you give it), so it drops into plain HTML, Next.js, Vue, a Python-served page, anything.
The value of this skill is the Higgsfield pipeline, the prompts, and the seam method —
not the framework.

---

## Step 0 — Bootstrap

1. **Monid CLI — the default video-chain backend.** Check `monid --version`,
   `monid keys list` (active key) and `monid balance` — the chain is billed per
   clip in USD (Step 1.7 has the numbers; a 1080p N=6 chain ≈ $27). If the CLI is
   missing or the balance can't cover the chain, say so and fall back to
   rendering the chain on Higgsfield credits instead — same model, same
   pipeline, different biller (Step 4 → Monid backend).
2. **Higgsfield CLI — still required even on the Monid path**: it renders the
   scene stills (`gpt_image_2`) and is the home of the `kling3_0` NSFW fallback
   and the fallback chain. If `higgsfield` is not on `$PATH`, install per the
   `higgsfield-generate` skill. If `higgsfield workspace list` fails auth, ask the user
   to run `higgsfield auth login` (interactive OAuth — you cannot run it) and, if needed,
   `higgsfield workspace set <id>`. Confirm credits cover the stills (~N image
   gens) — plus `(2N-1)` video gens if the chain falls back here.
3. **ffmpeg / ffprobe** on `$PATH` (frame extraction + encoding).
4. **An image tool** for background knockout if you want floating scenes: PIL
   (`python3 -c "import PIL"`), or `cwebp`/`sips`. Optional — see Step 3.
5. **(Optional) Codex CLI** — if `codex` is on `$PATH` (≥ 0.125) and
   `codex login status` reports a ChatGPT login, the scene stills can be generated
   through Codex's built-in `image_gen` (the same gpt-image-2 model) billed to the
   user's ChatGPT subscription instead of Higgsfield credits — offer it at
   Step 1.7, command in Step 2. Absence just removes the option.
6. Caveats: macOS ships **bash 3.2** (no `declare -A`); don't use associative arrays in
   scripts. Higgsfield generations take **3–8 min each** — always run them detached
   (background) and poll, never a foreground blocking call. Reference-by-job-UUID is
   rejected by media flags — pass **local file paths** to `--image/--start-image/--end-image`.
   Video models differ in accepted params (e.g. Kling has no `--resolution`) and in whether
   they support start/end-image conditioning at all — before batching, confirm the chosen
   model's schema with `higgsfield model get <job_type>` and see the Step 4 model table.

---

## Step 1 — Interview the user

The **subject is the user's to state — ask it as an open question in plain prose**, never a
fabricated multiple-choice. A made-up list of industries biases them and reads as you
deciding their business for them; let them answer in their own words (their real business,
a client's, or any idea). Reserve structured multiple-choice (`AskUserQuestion` in Claude
Code; a plain either/or question elsewhere) for the genuinely
enumerable, lower-stakes choices below — art direction, camera style, and brand-kit
approach — and even
there, signal they can go their own way ("Other"). Ask only what you can't sensibly
default. Cover:

1. **Subject** (ask openly, not multiple-choice) — "What should this world be about? Your
   business, a client's, or any idea — a word or a sentence is fine." Capture the
   industry/product + a one-line pitch (e.g. "a bubble tea company, from leaf to last
   sip"), and a brand name if they have one; otherwise you'll propose one below.
2. **Brand kit** — offer three paths, pick one:
   - Import from a URL: `higgsfield marketing-studio brand-kits fetch --url <site> --wait`
     (pulls name, colours, tone). Then read it back with `brand-kits list --json`.
   - The user hands you palette + name + tone directly.
   - You propose a palette + name and let them approve.
   Capture **4–6 named hex values**, a display name, and a tone word or two.
3. **Art direction** — default is "soft matte low-poly **clay diorama**, isometric,
   tilt-shift miniature, warm light." Offer alternatives (flat papercraft, glossy toy,
   claymation, neon night). Whatever is chosen becomes the shared **style preamble**
   reused verbatim in every scene prompt (this is what makes the world cohesive).
4. **Camera style — ALWAYS ask; it's the film's personality, not a technical
   detail.** Ask by feel (`AskUserQuestion` in Claude Code; a plain question
   elsewhere) and record the answer as `CAMERA`. The options map to the Step 4
   architectures — Step 4 then *implements* the choice, it never re-decides it:
   - **"Fly through the world"** — the camera dives into each scene, pulls up and
     out, and hops across the miniature world to the next; angles change
     constantly, big expressive aerial moves (this is the flagship-demo look).
     → Architecture B. Recommend as the default for diorama/miniature art
     directions.
   - **"One continuous walkthrough"** — a single forward flight that glides
     through each scene straight into the next, never pulling back; expressive
     but always-forward moves per scene (camera grammar table). → Architecture A.
     Recommend as the default for grounded/photoreal art directions.
   - **"Locked isometric glide"** — the camera keeps one fixed angle for the whole
     film, Emons-style; the world slides past/toward it, no rotation, no reveals.
     → Architecture A + the locked-iso clause in every leg prompt (prompts.md).
   State the trade-off in one line each (B reverses direction at seams — charming
   in miniature, jarring in realism; locked-iso is the calmest and cheapest to
   re-roll; walkthrough sits between).
5. **The journey (sections)** — the ordered scenes the camera flies through. Propose a
   set derived from the subject's own value chain and let the user edit. 5

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来自 GitHub

GitHub 星标
11,013
开发者
oso95
许可证
MIT
最近代码更新
2026年7月29日
repo 中的 SKILL.md 文件(含译本和模板)
1