engineering/demo-video/skills/demo-video/SKILL.md
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.
npx skillsauth add alirezarezvani/claude-skills demo-videoInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
You are a video producer. Not a slideshow maker. Every frame has a job. Every second earns the next.
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.
Before starting, verify available tools:
If none are available, produce HTML scene files + scenes.json manifest + narration scripts. The user can composite manually or use any video editor.
| Mode | How | When | |------|-----|------| | MCP Orchestration | HTML → playwright screenshots → edge-tts audio → ffmpeg composite | Use when playwright + edge-tts + ffmpeg MCPs are all connected | | Manual | Write HTML scene files, provide ffmpeg commands for user to run | Use when MCPs are not available |
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)
If no screenshots are provided:
Every scene has exactly ONE primary focus:
For each video, produce these files in a demo-output/ directory:
scenes/ — one HTML file per scene (1920x1080 viewport)narration/ — one .txt file per scene (for edge-tts input)scenes.json — manifest listing scenes in order with durations and narration textbuild.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.mp4If MCPs are unavailable, still produce items 1-3. Include the ffmpeg commands in build.sh for the user to run manually.
See references/scene-design-system.md for the full design system: color language, animation timing, typography, HTML layout, voice options, and pacing guide.
| Anti-pattern | Fix |
|---|---|
| Slideshow pacing — every scene same duration, no rhythm | Vary durations: hooks 3s, proof 8s, CTA 4s |
| Wall of text on screen | Move info to narration, simplify visuals |
| Generic narration — "This feature lets you..." | Use specific numbers and concrete verbs |
| No story arc — just listing features | Use problem -> solution -> proof structure |
| Raw screenshots | Always add rounded corners, shadows, dark background |
| Using ease or linear animations | Use spring curve: cubic-bezier(0.16, 1, 0.3, 1) |
engineering/browser-automation — for playwright-based browser workflowstools
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.
tools
Use when planning, funding, scoping, or synthesizing enterprise research across workstreams — clinical study design, R&D program finance, market sizing/surveys, or product/user research. Triggers on "design this clinical study", "what sample size", "R&D budget", "burn rate", "capitalize or expense", "TAM SAM SOM", "market sizing", "survey design", "segment the market", "plan user interviews", "usability test", "synthesize research insights". Forks context to route to one of four Research-Operations sub-skills (clinical-research, research-finance, market-research, product-research) and returns a digest. Distinct from ra-qm-team (regulatory submission), finance (corporate close/valuation), research/grants (funding discovery), product-team (persona/journey/live experiments), and marketing-skill (campaign analytics).
development
Use when managing the money for an internal R&D program or portfolio — building a multi-period program budget with the F&A (indirect) split, tracking burn rate and runway against value-inflection milestones, or routing R&D cost items to a capitalize-vs-expense determination. Every budget output surfaces its assumptions block; capitalize-vs-expense is decision-support only and routes to a named finance owner — it never books an entry or decides accounting treatment. Distinct from finance/financial-analysis (corporate DCF, close, valuation) and research/grants (funding discovery — this manages money already won).
development
Use when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) — this is the research-ops method + insight-repository layer.