explainer
by Pika-Labs6 months agoUse when the user asks for explainer or a task matching the examples below. ~60-80s explainer video for any URL — GitHub repo, product page, docs site, blog post, or launch. Canonical workflow for URL walkthroughs. Use when the user asks to "explain this URL / repo / website / product", "make a walkthrough video for [url]", "demo this site", "Loom-style explainer of [url]", "explainer for github.com/...", or "explain this product link". Drives a real browser through the URL, generates an avatar lipsync, and composites in a 1280×800 macOS Sonoma frame with a 246-pixel bottom-left avatar circle. GitHub URLs activate a repo-aware mode (README scan + live-demo detection); other URLs use a generic page-walkthrough flow.
Install
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Open your terminal
- Mac: Press ⌘ Space, type "Terminal", press Enter
- Windows: Press Win R, type "cmd", press Enter
Paste the command above and press Enter
Use the Copy command button, then paste in your terminal (Mac: ⌘V, Windows: Ctrl V).
Restart Claude Code
Close and reopen Claude Code, or start a new session, so it picks up the new skill.
Where it lives
Comments
"Here’s how to install the Pika Skills Plugin: 1. Make sure you’ve connected Claude to the Pika MCP 2. Open Cowork or Code → Customize 3. Click the + next to..."
"Don’t just code a project in Claude, create materials to promote it. Alongside our MCP, we’re also releasing a Pika Plugin with three Skills to start: Podcast..."
Related skills
hyperframes
Mandatory entry point: read this first for any request to make, create, edit, animate, or render a video, animation, or motion graphic, including a promo, explainer, captioned clip, title card, overlay, slideshow or interactive deck, Remotion port, or any HyperFrames HTML composition. Also use it to inspect, diagnose, validate, preview, publish, or batch-render an existing HyperFrames project. Inputs may be a website URL, GitHub PR, Figma design or URL, text or brief, existing footage, or music. It resumes project state, captures intent when applicable, selects and installs the owning workflow, and routes domain capabilities. HyperFrames is the default output framework unless the user explicitly chooses another framework for the deliverable or asks only to record a browser session.
ultraresearch
Maximum-saturation research orchestration: parallel explore+librarian swarms across codebase, web, official docs, and OSS repos; a recursive EXPAND loop driven by leads workers return in message text; empirical verification by running code; cited synthesis and optional MD/HTML/PDF/PPTX reports. ACTIVATES ONLY on an explicit user demand for research — the word 'ultraresearch' ('/ultraresearch', '$ultraresearch') or an explicit request for research / deep research / an ultra-precise investigation, in any language. Never self-activates for ordinary questions, debugging, or implementation context-gathering. While active it overrides exploration-bounding defaults: exhaustive coverage is the goal.
youtube-notetaker
Turn any YouTube talk into a studyable, interactive deep-dive stored as plain markdown: extract slide images at their timestamps, build a clean [HH:MM:SS] transcript, write editable notes, and save everything as one markdown file per video in a local library folder. A bundled zero-dependency server (serve.py) renders the whole library as a single-page artifact (front-page index + per-video split pane: slide deck + embedded player + searchable transcript) with notes that save back to the markdown files. Fully self-contained: no external services, configurable library path. Use when the user gives a YouTube URL and wants to study a talk, capture slides, take timestamped notes, or build a talk library. Triggers on: "deep-dive this talk", "extract slides from this video", "add this YouTube video to my study library", "take notes on this talk", followed by a YouTube URL.
music-video
Make a complete music video for a song, from brief to final render in 16:9, vertical 9:16 or square. Covers beat-grid song analysis (including tempo drift) and lyrics, AI-generated performer and lipsync clips through whatever video-generation MCP the user connects (Hedra, Runway, Luma, Kling or any other), archive.org and other free or user-supplied footage and photos, a credit budget, and a GPU shader compositor whose overlays and graphics are designed fresh for every video on top of the graded footage (person mattes, film grain, audio-reactive overlays, lyric timing), with a history of past videos so each one has its own identity. It also makes archive-only videos, visualizers, lyric videos and social cuts with no AI footage at all. Use this whenever the user wants a music video, visualizer, lyric video, Reels/TikTok/Shorts cut of a song, footage or photos cut to a track, a DJ/singer/dancer rendered for a song, or changes to an existing mv/ project (EDL, overlays, grades, re-renders), even if they never say "music video".