القائمة
Automated Google Trends research via Node.js CLI. Search YouTube, Web, Images, News for rising/breakout queries. Use for Phase 1 Strategy research or any topic validation.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Reuse one Resend account and one verified sender domain across multiple branded products, especially for solo developers and free-tier portfolios. Use when adding transactional email to another app without creating a separate Resend account or verified domain, while preserving per-product identity, recipients, Reply-To routing, templates, security boundaries, delivery reliability, and awareness of a shared sending quota.
Add captions to a talking-head video. ONE catalog (CATALOG.md) of 32 visual identities behind two engines: column-flow (captions composited INTO the scene — matte occlusion + mix-blend; cream/ink/editorial/keynote/documentary/loud/neon/glitch/chrome/velocity) and themed constitutions (anchor/ordnance/terminal/neonsign/stardust/stomp/scoreboard/transit/vhs/arcade/dossier/laser/thunder/hologram/biolume/aurora/spectrum/papercut/popup/chalkboard/graffiti/brush/inkwater/ransom/lastpage/nightcity — e.g. a glyph-decode climax, a neon sign WRITTEN stroke by stroke, or the quiet `anchor` rail default). Route by identity, never by mode. Trigger on "captions/subtitles", "embed/cinematic captions", "VFX captions", "炸/特效/酷炫字幕", a named identity, or top-tier motion-graphics asks. Embedding every word is wrong for most talking-head content — `anchor` is the verbatim default. Pipeline: transcription → hyperframes remove-background matting → HTML render → ffmpeg overlay. Requires hyperframes and a single-subject clip.
turn arbitrary text — an article, notes, a topic, a brief — into a faceless explainer video, up to ~3 min (sweet spot 30-90s), where every visual is invented (typography, abstract graphics, diagrams, data-viz) rather than captured. There is no URL, no website capture, and no real assets. Use this skill for topic explainers, concept breakdowns, how-tos, listicles, and narrative explainers. Do not use it for a product launch/promo (use /product-launch-video), a tour of a real website (use /website-to-video), a GitHub PR (use /pr-to-video), captions on existing footage (use /embedded-captions), or a short unnarrated motion graphic (use /motion-graphics). If the intent is unclear, route through /hyperframes first. This is the shot-sequence architecture: every frame is authored as a time-coded shot sequence picked from a menu of golden blueprints, so frames develop over their full duration instead of freezing after entrance.
Import Figma content into a HyperFrames composition — rendered assets, brand tokens, components, storyboard sections → animatics (REST/CLI), and Figma Motion animations + shaders (MCP). Use when the user pastes a figma.com link or asks to bring a Figma design, frame, logo, brand, or animation into a video/composition.
All animation knowledge for HyperFrames — atomic motion rules, multi-phase scene blueprints, scene transitions, broader motion-design techniques, AND the seven runtime adapters (GSAP default, plus Lottie, Three.js, Anime.js, CSS keyframes, Web Animations API, TypeGPU). Use for any motion or animation task: pick 2-4 rules and compose, or load a blueprint, or look up runtime-specific API (e.g. GSAP eases / Lottie player / Three.js mixer). HyperFrames-native: single paused timeline, seek-safe, deterministic.
HyperFrames CLI dev loop. Use when running npx hyperframes init, add, catalog, capture, lint, validate, inspect, layout, snapshot, preview, play, render, publish, lambda, doctor, browser, info, upgrade, skills, compositions, docs, benchmark, telemetry, transcribe, tts, or remove-background, or when troubleshooting the HyperFrames build/render environment. Entry point for AWS Lambda cloud rendering (`hyperframes lambda deploy / render / progress / destroy / policies`).
| name | google-trends |
| description | Automated Google Trends research via Node.js CLI. Search YouTube, Web, Images, News for rising/breakout queries. Use for Phase 1 Strategy research or any topic validation. |
Automate Google Trends research without a browser. Query related topics, rising queries, and interest over time for any keyword across YouTube, Web, Images, or News.
Node.js 18+ and PNPM required.
# Check Node
node --version
# Install dependencies (first-time only)
cd .agent/skills/google-trends/scripts
pnpm install
# Basic search (YouTube, Last 7 Days, Tech category)
node .agent/skills/google-trends/scripts/search.js -k "Claude AI"
# Search Web instead of YouTube
node .agent/skills/google-trends/scripts/search.js -k "AI agents" -p web
# Extended time range (1 month)
node .agent/skills/google-trends/scripts/search.js -k "VibeCoding" -t "now 1-m"
# Output as JSON for piping
node .agent/skills/google-trends/scripts/search.js -k "Cursor IDE" -o json
Usage: search.js [options]
Options:
-k, --keyword <string> Topic to search (required)
-p, --property <string> youtube | web | images | news | froogle (default: youtube)
-t, --time <string> now 7-d | now 1-m | today 3-m | today 12-m (default: now 7-d)
-c, --category <number> Google Trends category ID (default: 5 = Tech)
-o, --output <string> table | json | markdown (default: table)
-f, --file <path> Save output to file (optional)
--interest Include interest-over-time data (default: false)
-h, --help Show help
| Value | What It Searches |
|---|---|
youtube | YouTube Search trends |
web | Google Web Search trends |
images | Google Images trends |
news | Google News trends |
froogle | Google Shopping trends |
| Value | Period |
|---|---|
now 7-d | Last 7 days |
now 1-m | Last 30 days |
today 3-m | Last 90 days |
today 12-m | Last 12 months |
| ID | Category |
|---|---|
| 5 | Computers & Electronics (Tech) |
| 13 | Arts & Entertainment |
| 174 | Sports |
| 3 | Business & Industrial |
Full list: Google Trends Categories
Use this skill during /youtube-phase1-strategy to validate topics:
# Check if "Claude Cowork" is rising on YouTube
node .agent/skills/google-trends/scripts/search.js -k "Claude Cowork" -p youtube -t "now 7-d"
Signal: Look for BREAKOUT or values > 100 in related queries.
# Is "RAG" still trending in AI?
node .agent/skills/google-trends/scripts/search.js -k "RAG AI" -p web -t "today 3-m" --interest
Signal: Check if interest-over-time is increasing or peaked.
[TrendProbe] Searching: "Claude AI" on YouTube (Last 7 days)
--- Related Queries (Top) ---
1. claude ai assistant (100)
2. anthropic claude (81)
3. claude vs chatgpt (45)
--- Related Queries (Rising) ---
1. anthropic (BREAKOUT)
2. claude code (450%)
{
"keyword": "Claude AI",
"property": "youtube",
"time": "now 7-d",
"top": [...],
"rising": [...]
}
## Claude AI (YouTube, 7 days)
### Top Queries
1. claude ai assistant (100)
...
-c for broader trends.