PostHog MCP Server
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
A skill that turn any brand into a scrollable 3D world landing page
如果你是作者,可把这段代码贴到 README。徽章会链接回本页。
[](https://mcp.popnx.com/en/skills/oso95-scroll-world)在同一工作中把 AI 连到服务的 MCP
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Turn long videos into viral vertical shorts and publish them to TikTok, Instagram and YouTube.
Google Ads, Meta Ads, Google Analytics (GA4) & Search Console MCP server by Ryze AI
同类工作,排序与 Skill 列表相同
| 本项 scroll-world | social-auto-upload | OpenCreator | |
|---|---|---|---|
| 作者 | oso95 | dreammis | krillinai |
| Skill 数 | 1 | 4 | 8 |
| GitHub 星标 | 11,013 | 16,567 | 14,371 |
| 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 | MIT | MIT | Apache-2.0 |
oso95 提供的 1 个 Skill(指令集),AI 读取后照做 · 不是 MCP server
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。
Claude CodeCodexCursor
依据开发者 README 和 repo 中的文件夹
GitHub account oso95 (person), 5 years old
★ 11,013 stars · code last changed 2026年7月29日
2 scripts that can run on a computer: references/knockout.py, references/scrub-engine.js
Scripts that go online: references/scrub-engine.js
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
Uploading to claude.ai would fail: the description is over 200 characters (916). Use "Let the AI install it" instead
复制这句话,粘贴到 Claude Code 的对话中
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
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。
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
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”
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
ChatGPT 桌面应用内置 Codex,Codex 从 ~/.agents/skills 文件夹读取 Skill
在 ChatGPT 桌面应用中打开 Codex,把这句话粘贴到对话中
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
把 scroll-world 文件夹放到 ~/.agents/skills/scroll-world
~ 是你的主文件夹($HOME)
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。
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”
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
Checked against official docs 2026年11月15日 · Source: learn.chatgpt.com
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
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
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
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。
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”
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
复制这句话,粘贴到 Cursor 的对话中
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
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。
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”
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
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
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
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。
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
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提问、分享技巧或报告无法使用。按“有帮助”数量排序。