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ASoudy/AGS

Use when the user asks to create a demo video, product walkthrough, feature showcase, animated presentation, marketing video, or GIF from screenshots or scene descriptions. Orchestrates playwright, ffmpeg, and edge-tts MCPs to produce polished video content.

Qu'est-ce que AGS ?

AGS is a Claude Code agent skill that use when the user asks to create a demo video, product walkthrough, feature showcase, animated presentation, marketing video, or GIF from screenshots or scene descriptions. Orchestrates playwright, ffmpeg, and edge-tts MCPs to produce polished video content.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/ASoudy/AGS/tree/HEAD/claude_skills_libraries/nginity-skills-library/engineering/demo-video/skills/demo-video

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Documentation

Demo Video

You are a video producer. Not a slideshow maker. Every frame has a job. Every second earns the next.

Overview

Create polished demo videos by orchestrating browser rendering, text-to-speech, and video compositing. Think like a video producer — story arc, pacing, emotion, visual hierarchy. Turns screenshots and scene descriptions into shareable product demos.

When to Use This Skill

  • User asks to create a demo video, product walkthrough, or feature showcase
  • User wants an animated presentation, marketing video, or product teaser
  • User wants to turn screenshots or UI captures into a polished video or GIF
  • User says "make a video", "create a demo", "record a demo", "promo video"

Core Workflow

1. Choose a rendering mode

Before starting, verify available tools:

  • playwright MCP available? — needed for automated screenshots. Fallback: ask user to screenshot the HTML files manually.
  • edge-tts available? — needed for narration audio. Fallback: output narration text files for user to record or use any TTS tool.
  • ffmpeg available? — needed for compositing. Fallback: output individual scene images + audio files with manual ffmpeg commands the user can run.

If none are available, produce HTML scene files + scenes.json manifest + narration scripts. The user can composite manually or use any video editor.

ModeHowWhen
MCP OrchestrationHTML → playwright screenshots → edge-tts audio → ffmpeg compositeUse when playwright + edge-tts + ffmpeg MCPs are all connected
ManualWrite HTML scene files, provide ffmpeg commands for user to runUse when MCPs are not available

2. Pick a story structure

The Classic Demo (30-60s): Hook (3s) -> Problem (5s) -> Magic Moment (5s) -> Proof (15s) -> Social Proof (4s) -> Invite (4s)

The Problem-Solution (20-40s): Before (6s) -> After (6s) -> How (10s) -> CTA (4s)

The 15-Second Teaser: Hook (2s) -> Demo (8s) -> Logo (3s) -> Tagline (2s)

3. Design scenes

If no screenshots are provided:

  • For CLI/terminal tools: generate HTML scenes with terminal-style dark background, monospace font, and animated typing effect
  • For conceptual demos: use text-heavy scenes with the color language and typography system
  • Ask the user for screenshots only if the product is visual and descriptions are insufficient

Every scene has exactly ONE primary focus:

  • Title scenes: product name
  • Problem scenes: the pain (red, chaotic)
  • Solution scenes: the result (green, spacious)
  • Feature scenes: the highlighted screenshot region
  • End scenes: URL / CTA button

4. Write narration

  • One idea per scene. If you need "and" you need two scenes.
  • Lead with the verb. "Organize your tabs" not "Tab organization is provided."
  • No jargon. "Your tabs organize themselves" not "AI-powered tab categorization."
  • Use contrast. "24 tabs. One click. 5 groups."

Output Artifacts

For each video, produce these files in a demo-output/ directory:

  1. scenes/ — one HTML file per scene (1920x1080 viewport)
  2. narration/ — one .txt file per scene (for edge-tts input)
  3. scenes.json — manifest listing scenes in order with durations and narration text
  4. build.sh — shell script that runs the full pipeline:
    • playwright screenshot each HTML scene → frames/
    • edge-tts each narration file → audio/
    • ffmpeg concat with crossfade transitions → output.mp4

If MCPs are unavailable, still produce items 1-3. Include the ffmpeg commands in build.sh for the user to run manually.

Scene Design System

See references/scene-design-system.md for the full design system: color language, animation timing, typography, HTML layout, voice options, and pacing guide.

Quality Checklist

  • Video has audio stream
  • Resolution is 1920x1080
  • No black frames between scenes
  • First 3 seconds grab attention
  • Every scene has one focus point
  • End card has URL and CTA

Anti-Patterns

Anti-patternFix
Slideshow pacing — every scene same duration, no rhythmVary durations: hooks 3s, proof 8s, CTA 4s
Wall of text on screenMove info to narration, simplify visuals
Generic narration — "This feature lets you..."Use specific numbers and concrete verbs
No story arc — just listing featuresUse problem -> solution -> proof structure
Raw screenshotsAlways add rounded corners, shadows, dark background
Using ease or linear animationsUse spring curve: cubic-bezier(0.16, 1, 0.3, 1)

Cross-References

  • Related: engineering/browser-automation — for playwright-based browser workflows
  • See also: framecraft — open-source scene rendering pipeline

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

ASoudy/AGS

One sentence - what this skill does and when to invoke it

ASoudy/AGS

Audit and fix animation performance issues including layout thrashing, compositor properties, scroll-linked motion, and blur effects. Use when animations stutter, transitions jank, or reviewing CSS/JS animation performance.

ASoudy/AGS

Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.

ASoudy/AGS

Pull a YouTube video transcript into a queryable markdown vault with yt-dlp subtitle discovery, VTT cleanup, metadata frontmatter, and capture-seed stubs.

ASoudy/AGS

Generates high-converting Next.js/React landing pages with Tailwind CSS. Uses PAS, AIDA, and BAB frameworks for optimized copy/components (Heroes, Features, Pricing). Focuses on Core Web Vitals/SEO.

ASoudy/AGS

AI-powered animation tool for creating motion in logos, UI, icons, and social media assets.

ASoudy/AGS

CRITICAL: Use for Makepad animation system. Triggers on: makepad animation, makepad animator, makepad hover, makepad state, makepad transition, "from: { all: Forward", makepad pressed, makepad 动画, makepad 状态, makepad 过渡, makepad 悬停效果

ASoudy/AGS

Best practices for Remotion - Video creation in React

ASoudy/AGS

Generate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays

ASoudy/AGS

Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence

ASoudy/AGS

Writes complete, structured landing pages optimized for SEO ranking, AEO citation, and visitor conversion. Activate when the user wants to write or generate a landing page for a product, service, or offer.

ASoudy/AGS

Three.js animation - keyframe animation, skeletal animation, morph targets, animation mixing. Use when animating objects, playing GLTF animations, creating procedural motion, or blending animations.

ASoudy/AGS

Automate TikTok tasks via Rube MCP (Composio): upload/publish videos, post photos, manage content, and view user profiles/stats. Always search tools first for current schemas.

ASoudy/AGS

Video and audio perception, indexing, and editing. Ingest files/URLs/live streams, build visual/spoken indexes, search with timestamps, edit timelines, add overlays/subtitles, generate media, and create real-time alerts.

ASoudy/AGS

Upload, stream, search, edit, transcribe, and generate AI video and audio using the VideoDB SDK.

ASoudy/AGS

One sentence - what this skill does and when to invoke it

ASoudy/AGS

Automate YouTube tasks via Rube MCP (Composio): upload videos, manage playlists, search content, get analytics, and handle comments. Always search tools first for current schemas.

ASoudy/AGS

Extract transcripts from YouTube videos and generate comprehensive, detailed summaries using intelligent analysis frameworks

ASoudy/AGS

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

ASoudy/AGS

Advanced JavaScript animation library skill for creating complex, high-performance web animations.

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