demo-video
Generate polished demo videos from a single prompt. Use when the user asks to create a demo video, product walkthrough, feature showcase, or animated presentation. Trigger with "make a demo video", "create a product video", "demo walkthrough", or "feature showcase video".
Best use case
demo-video is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate polished demo videos from a single prompt. Use when the user asks to create a demo video, product walkthrough, feature showcase, or animated presentation. Trigger with "make a demo video", "create a product video", "demo walkthrough", or "feature showcase video".
Teams using demo-video should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/demo-video/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How demo-video Compares
| Feature / Agent | demo-video | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate polished demo videos from a single prompt. Use when the user asks to create a demo video, product walkthrough, feature showcase, or animated presentation. Trigger with "make a demo video", "create a product video", "demo walkthrough", or "feature showcase video".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
ChatGPT vs Claude for Agent Skills
Compare ChatGPT and Claude for AI agent skills across coding, writing, research, and reusable workflow execution.
AI Agent for YouTube Script Writing
Find AI agent skills for YouTube script writing, video research, content outlining, and repeatable channel production workflows.
SKILL.md Source
# Demo Video Generator
## Overview
Generate 1920x1080 demo videos with voiceover, transitions, and CSS animations from a single prompt. Orchestrates Playwright (HTML-to-frame rendering), FFmpeg (compositing and transitions), and Edge TTS (neural voiceover) MCP servers.
## Prerequisites
- Python 3.11+ and `uv` package manager
- FFmpeg installed (`ffmpeg -version`)
- Playwright chromium browser (`uv run playwright install chromium`)
- Internet connection for Edge TTS voice synthesis
## Instructions
Install the framecraft plugin from the marketplace:
```bash
claude plugin marketplace add jeremylongshore/claude-code-plugins-plus-skills
claude plugin install framecraft@claude-code-plugins-plus
```
### Quick Start
```bash
uv run python framecraft.py init my-demo # scaffold a project
uv run python framecraft.py render scenes.json --auto-duration
uv run python framecraft.py validate output.mp4 # quality check
```
### MCP Orchestration
When Playwright, FFmpeg, and Edge TTS MCP servers are available, framecraft orchestrates them directly for maximum control over each frame and audio segment.
### Pipeline Fallback
When MCP servers are not available, framecraft runs an atomic CLI pipeline that handles everything in one call.
### Workflow
1. **Story design** -- Choose a narrative arc (problem-solution, hero journey, before-after)
2. **Scene authoring** -- Write HTML scenes with CSS animations, or use built-in templates
3. **Rendering** -- Playwright captures frames, Edge TTS generates voiceover, FFmpeg composites
## Output
- 1920x1080 MP4 video with voiceover and transitions
- Individual scene previews for iteration
- Validation report for quality assurance
## Error Handling
| Error | Cause | Fix |
|-------|-------|-----|
| `ffmpeg: command not found` | FFmpeg not installed | Install via `brew install ffmpeg` or system package manager |
| `playwright._impl._errors.Error` | Chromium not installed | Run `uv run playwright install chromium` |
| `edge_tts.exceptions.NoAudioReceived` | TTS service unavailable | Check internet connection; retry after a few seconds |
| `FileNotFoundError: scenes.json` | Missing scene config | Run `uv run python framecraft.py init my-demo` first |
| Blank or black frames | HTML scene rendering failed | Check HTML syntax and ensure assets are accessible |
## Examples
```json
{
"scenes": [
{
"title": "Meet YourApp",
"subtitle": "The smarter way to manage tasks",
"narration": "24 tasks. One dashboard. Zero stress.",
"voice": "en-US-AndrewNeural",
"bullets": ["Smart priorities", "Team sync", "One-click reports"],
"duration": 0
}
],
"output": "demo.mp4",
"width": 1920, "height": 1080,
"voice": "en-US-AndrewNeural",
"transition": "crossfade"
}
```
`duration: 0` = auto-detect from TTS length + 1.5s buffer.
## Resources
- Source repository with templates and pipeline: [github.com/vaddisrinivas/framecraft](https://github.com/vaddisrinivas/framecraft)
- [Edge TTS voice list](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support)
- [Playwright documentation](https://playwright.dev/python/docs/intro)
- [FFmpeg documentation](https://ffmpeg.org/documentation.html)Related Skills
klingai-video-extension
Extend video duration using Kling AI continuation. Use when creating longer videos from shorter clips or building sequences. Trigger with phrases like 'klingai extend video', 'kling ai video continuation', 'klingai longer video', 'extend klingai clip'.
klingai-text-to-video
Generate videos from text prompts with Kling AI. Use when creating videos from descriptions, learning prompt techniques, or building T2V pipelines. Trigger with phrases like 'kling ai text to video', 'klingai prompt', 'generate video from text', 'text2video kling'.
klingai-image-to-video
Animate static images into video using Kling AI. Use when converting images to video, adding motion to stills, or building I2V pipelines. Trigger with phrases like 'klingai image to video', 'kling ai animate image', 'klingai img2vid', 'animate picture klingai'.
schema-optimization-orchestrator
Multi-phase schema optimization workflow orchestrator. Creates session directories, spawns phase agents sequentially, validates outputs, aggregates results. Trigger: "run schema optimization", "optimize schema workflow", "execute schema phases"
test-skill
Test skill for E2E validation. Trigger with "run test skill" or "execute test". Use this skill when testing skill activation and tool permissions.
example-skill
Brief description of what this skill does and when the model should activate it. Use when [describe the user's intent or situation]. Trigger with "example phrase", "another trigger", "/example-skill".
testing-visual-regression
Detect visual changes in UI components using screenshot comparison. Use when detecting unintended UI changes or pixel differences. Trigger with phrases like "test visual changes", "compare screenshots", or "detect UI regressions".
generating-unit-tests
Test automatically generate comprehensive unit tests from source code covering happy paths, edge cases, and error conditions. Use when creating test coverage for functions, classes, or modules. Trigger with phrases like "generate unit tests", "create tests for", or "add test coverage".
generating-test-reports
Generate comprehensive test reports with metrics, coverage, and visualizations. Use when performing specialized testing. Trigger with phrases like "generate test report", "create test documentation", or "show test metrics".
orchestrating-test-execution
Test coordinate parallel test execution across multiple environments and frameworks. Use when performing specialized testing. Trigger with phrases like "orchestrate tests", "run parallel tests", or "coordinate test execution".
managing-test-environments
Test provision and manage isolated test environments with configuration and data. Use when performing specialized testing. Trigger with phrases like "manage test environment", "provision test env", or "setup test infrastructure".
generating-test-doubles
Generate mocks, stubs, spies, and fakes for dependency isolation. Use when creating mocks, stubs, or test isolation fixtures. Trigger with phrases like "generate mocks", "create test doubles", or "setup stubs".