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render-apple-notes-chat

Put your AI agent on the growth team.

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项目 README

来源文件：README.md

抓取于 2026年10月1日
CleanShot 2026-07-13 at 20 15 47@2x CleanShot 2026-07-13 at 20 16 54@2x

AI Skills for Brand Growth

Put your AI agent on the growth team.

Research customers and competitors, analyze what is working, create the next campaign, and learn from the result. Goose Skills gives Claude Code, Cursor, Codex, and other coding agents ready-to-use workflows for ads, social media, content, competitive intelligence, SEO, lead generation, and GTM.

Browse all skills at https://skills.gooseworks.ai

Works with Claude Code · Cursor · Codex

npm version License: MIT Skills

Contents

Quick Start

AI Coding Agents (Claude Code, Cursor, Codex, etc)

Paste this into your coding agent (Claude Code, Cursor, or Codex) and it'll set everything up:

Install the Gooseworks skills:

In the terminal, run `npx gooseworks install --all`.

Then run `npx gooseworks login` and it'll open a browser to sign in and set up the tools, then confirm it worked.

The skills can be used with /gooseworks <prompt>

Claude Cowork

Run this command in a terminal first:

npx gooseworks install --all

Then authenticate:

npx gooseworks login

Then make sure you're working inside a local folder on your machine, and then you can use the skills in Cowork like this:

Use /gooseworks skill to generate some ad creatives

Install manually

Prefer to run it yourself? Use the command directly:

npx gooseworks install --all       # All detected agents

This gives your coding agent access to the full catalog of 200+ skills. After installing, just ask your agent to use any skill by name.

If you want a cloud-based AI coworker that already knows all these skills and more, sign up to Gooseworks

Brand Growth collection

The Brand Growth collection is a curated path through the normal Goose Skills catalog for consumer and ecommerce brand work. It is not a separate package or command: install GooseWorks once, then ask /gooseworks for the outcome you need.

StageWhat your agent can doExample skills
ResearchUnderstand the brand, customers, competitors, audiences, creators, trends, comments, and product demandbrand-research, audience-research, comment-mining, competitor-social-research, influencer-prospecting, trend-discovery, product-demand-research
AnalyzeDiagnose ads, creator profiles, transcripts, policy risk, landing-page message match, and unusual social performancecompetitor-ad-intelligence, creator-profile-teardown, transcript-intelligence, meta-ads-analyzer, meta-ad-policy-checker, ad-to-landing-page-auditor, outlier-post-finder
CreateRepurpose research, remix graphic ads, make product photography and social graphics, and animate static imagescontent-repurposing, remix-graphic-ad-from-reference, product-photoshoot, goose-graphics, animate-image
Learn and iterateBring results back into research and analysis, then decide the next testRe-run the relevant analysis skill with current performance and audience evidence

ScrapeCreators powers structured public social and ad-library research behind several workflows. Signed-in GooseWorks users access it through the managed first-party proxy and do not need a separate ScrapeCreators key. The user-facing skills turn that source data into a brief, shortlist, analysis, or recommendation instead of returning raw API output.

Browse the Brand Growth collection

After installation, start with:

/gooseworks onboard me

The agent will collect the useful company context for future growth work and finish by asking what you want to do first. Existing users can skip onboarding and keep using /gooseworks exactly as they do today.

Commands

npx gooseworks search "reddit scraping"   # Search the skill catalog
npx gooseworks credits                     # Check your credit balance
npx gooseworks update                      # Update to latest skill version

Skills Catalog

200+ skills across the growth stack, grouped by focus area:

CategoryWhat's inside
AdsResearch, build, and analyze paid campaigns across Meta and Google
SEOKeyword research, content gaps, SERP analysis, technical audits
Lead generationFind, enrich, and qualify prospects for your pipeline
OutreachDraft, personalize, and run outbound across email and social
ContentBlog posts, social content, carousels, video scripts, newsletters
ResearchCompany, market, and prospect deep-dives
Competitive intelTrack competitor pricing, launches, positioning, and ads
MonitoringWatch for mentions, signals, and changes across the web
SocialScrape and analyze social platforms and audiences
BrandVoice, positioning, and visual brand assets

Browse and search every skill at skills.gooseworks.ai.

Usage Examples

After installing, just ask your coding agent naturally:

"/gooseworks Generate static ad creatives for my brand"
"/gooseworks Use the reddit-post-finder skill to search r/startups"
"/gooseworks Use the apollo-lead-finder skill to find CTOs at AI companies"
"/gooseworks Use the competitor-intel skill to research Acme Corp"
"/gooseworks Use the goose-graphics skill to create a LinkedIn carousel about our launch"

Your agent will search the GooseWorks catalog, download the skill, and run it automatically.

Building from Source

git clone https://github.com/gooseworks-ai/goose-skills.git
cd goose-skills
node scripts/validate-skills.js  # Validate SKILL.md + skill.meta.json contract
node scripts/build-index.js      # Generate skills-index.json
node bin/goose-skills.js list    # Test locally

Skill Metadata Contract

Each skill directory must include:

  • SKILL.md — Skill documentation and usage guide
  • skill.meta.json — Machine-readable metadata

skill.meta.json fields:

FieldRequiredDescription
slugYesUnique kebab-case identifier
categoryYescapabilities, composites, or playbooks
tagsYesString array of category tags
installation.base_commandYesInstall command
installation.supportsYesArray: claude, codex, cursor
featuresNoFeature flags
github_urlNoSource repository URL
authorNoSkill author
example_promptNoCopyable prompt shown in the catalog and docs for trying the skill

Security & Trust

These skills run inside your coding agent, so it's worth knowing exactly what they do:

  • Open source & inspectable. Every skill — its SKILL.md instructions and all scripts — lives in this repo under the MIT license. The gooseworks CLI fetches skills at runtime so recipes stay current, but the source you'd run is right here to read, diff, or pin before you run it.
  • Scripts run locally. Skill scripts execute on your machine and write to /tmp/gooseworks-scripts/, never into your project directory. Only API requests go through GooseWorks servers; review any script before letting your agent run it.
  • Your agent stays in control. The skills are a tool your agent reaches for when it fits the task (data at scale, sources behind auth, a specific provider) — not a replacement for its built-in web search or fetch on quick lookups. You can read or edit any installed SKILL.md to tune that behavior.
  • Credentials stay local. Auth is a Bearer token stored at ~/.gooseworks/credentials.json (file mode 0600). Third-party provider keys (Apify, Apollo, etc.) are held server-side — your token never touches them. All network calls are HTTPS.
  • The MCP server is opt-in. Registering the GooseWorks MCP server is off by default; it only happens if you explicitly run gooseworks install --mcp.

Found something that looks off? Open an issue — we'd rather fix it in public.

License

MIT — see LICENSE for details.

The skill files and CLI in this repository are MIT-licensed. The GooseWorks API they connect to is a separate paid service governed by its own terms.

浏览器与自动化

中风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用，安装前请复核。
  • 未检测到明显外部权限要求。
  • 未检测到高风险命令。
  • 扫描发现：2 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/ads/capabilities/render-apple-notes-chat" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/ads/capabilities/render-apple-notes-chat" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/ads/capabilities/render-apple-notes-chat" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/ads/capabilities/render-apple-notes-chat" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/ads/capabilities/render-apple-notes-chat" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: render-apple-notes-chat
description: Assemble an Apple Notes list video ad from a note + end-card JSON — a frame-accurate fake iPhone screen recording of a short list being typed into Apple Notes (character by character, key pops, blinking caret, the note scrolling up as it fills) crossfaded into a checklist end card (the note's picks as ticked rows, real product photos, logo, CTA, in the brand's colours and fonts), with an optional music bed. FREE assembly (Playwright + ffmpeg); the recipe supplies the per-brand note + end card and gates the paid music call to its own capability. The Apple Notes sibling of render-imessage-chat and render-chatgpt-chat. Use for the apple-notes format.
status: active

render-apple-notes-chat

The free renderer for the apple-notes video ad format: someone types a short, honest list into Apple Notes ("my chai cheat sheet", "chai for every mood") and every line points to a real product. It ends on a checklist end card with the products and the CTA. Deterministic Playwright + ffmpeg; no generative video of the UI, so every typed character stays pixel-crisp.

Siblings: render-imessage-chat (a peer's reply is the punchline) and render-chatgpt-chat (an AI answer is the punchline). Reach for this one when the creative is a list someone keeps for themselves.

Choices

The recipe asks these before any paid step; this renderer only draws what the config says.

  • list_angle — what the list is (a "which one should I get" cheat sheet, one pick per personality, one per mood or moment, a routine, a gift guide). Sets note.title, note.lines and end_card.head1/head2.
  • voice — how the writer types (lowercase and casual, tidy, deadpan). Sets the wording and capitalisation of note.lines.
  • clock — the time on the status bar (a 2 AM list reads differently from a 9 AM one). Sets note.status_bar.time.
  • music — the bed passed to stitch.sh --music, or none (silent).

Brand facts (logo, colours, fonts, product photos, CTA, claims) come from the brand kit.

What it renders

  1. The note (record-notes.js) — one PNG per visual state, each held for its own duration, concatenated into a 1080×1920 30fps MP4:
    • the note opens on its title with a blinking caret and the keyboard up;
    • each line types character by character at type_seconds, with a key pop on every letter, a darker space/return key, and a human rhythm (slower after spaces and punctuation);
    • between lines: return key, then pre_pause_seconds of blinking "thinking";
    • the note eases up so the caret never goes under the keyboard;
    • it ends on post_hold_seconds of the finished list.
  2. The end card (render-end-card.js) — a paper card slides and tilts in over the brand colour; the heading has a hand-drawn underline; each row's check draws in turn. Real product cut-outs sit above the rows; the logo (or a wordmark) and CTA pill sit below.
  3. The master (stitch.sh) — ~0.3 s crossfade into the end card, music faded in and out and normalised to −14 LUFS (peaks ≤ −1.5 dBFS). No music → silent master.

Run

cd scripts && npm install            # once — installs Playwright
npx playwright install chromium      # once
node record-notes.js    --config config.json --out-dir <work> --still-only   # free review stills
node record-notes.js    --config config.json --out-dir <work>                # → notes.mp4
node render-end-card.js --config config.json --out-dir <work>                # → endcard.png + endcard.mp4
bash stitch.sh --notes <work>/notes.mp4 --end <work>/endcard.mp4 \
     --out <work>/master.mp4 [--music <work>/music-bed.mp3]

--still-only writes note-hook.png (the opening frame) and note-still.png (the finished list) for the review, without recording the video.

Config

See scripts/config.example.json. Two blocks:

BlockFields
notetitle, lines[] (text, type_seconds, pre_pause_seconds), post_hold_seconds, status_bar (time, battery_pct), keyboard_state
end_cardhead1, head2, underline (a word in head2), rows[] (label, value; max 4), products[] (src, h = height %, wide), logo (file) or wordmark, cta, fine_print, theme (bg, bg2, paper, ink, accent, label), fonts (heading, label — Google Fonts family names), seconds

Image paths are resolved relative to the config file. Pacing that reads well: ~1.6–2.8 s per line (about 18 characters a second), 1.0 s before the first line, 0.55 s between lines, 0.9 s before the last line.

Contract

  • FREE: Playwright frame capture + ffmpeg. No model draws text: the note, the end-card copy and the logo are real HTML and real files.
  • record-notes.js refuses a line with an em or en dash (people don't type them in Notes) or over 80 characters.
  • render-end-card.js refuses an end card with no rows or no logo/wordmark, and fails if the chosen fonts don't load.
  • The Apple Notes chat body is the bundled create-apple-notes-mockup generator (scripts/mockup/), so this runs standalone with no sibling fetch.
  • Requires ffmpeg/ffprobe on PATH, Node 18+, and Playwright Chromium.

Gaps

  • The phone UI uses the system font stack (-apple-system, SF Pro). It's exact on macOS; on Linux/Windows it falls back to the nearest sans.
  • No typing sound effects: Notes is silent, and the chai test ads shipped with music only.
  • Product photos must be clean cut-outs (transparent PNG). The recipe decides what to do when a product has none; this renderer only places what it's given.

Self-QC (always /watch the master)

  • The caret never sits under the keyboard; the note scrolls smoothly, never jumps.
  • Every line is fully typed before the next return; no text is cut off.
  • The end card: every check draws, nothing overlaps the logo or CTA, fonts are the brand's (not a fallback), the pad under the card matches theme.bg.
  • Audio (if any) fades in and out; no clipping.

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