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Demo Video

MicrosoftOfficialPublished by Microsoft

  • Skill
  • Content generator
  • Design and creative
  • MIT
  • Low risk
  • Has scripts

From the author

Assemble ordered frames or clips with narration and optional synchronized scene transitions into an MP4 via FFmpeg
— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured workflow for creating narrated walkthrough videos by combining static frames or video clips with synchronized narration audio. It uses a YAML-based manifest to define the sequence, resolution, frame rate, and transition effects. The process leverages FFmpeg to normalize segments and mux the audio, resulting in a polished MP4 file. It is designed to integrate into existing media pipelines, such as those using Playwright for screen captures and Azure AI Speech for narration.

What it does

  • Assembles ordered visual segments and narration into a single MP4 video.
  • Supports both static image frames and existing video clips as visual sources.
  • Applies synchronized scene transitions like crossfades between segments.
  • Normalizes input segments to a consistent resolution and frame rate.
  • Muxes narration WAV files directly into the final video output.
  • Provides configurable output settings including resolution, FPS, and transition duration.

When to use it

  • When you need to create consistent, narrated walkthroughs of software prototypes.
  • When you have a collection of screen captures and generated audio files that need to be combined.
  • When you want to automate the production of demo videos as part of a CI/CD pipeline.
  • When you require a repeatable process for generating videos with specific transition effects.

Advantages

  • Automates the tedious process of manual video editing for simple walkthroughs.
  • Ensures consistent video quality and timing across multiple demo segments.
  • Integrates seamlessly with other tools for screen capture and AI-generated narration.
  • Supports programmatic control via manifest files for version-controlled video production.

Usage examples

“Assemble a demo video using the segments defined in my segments.yml file.”
The skill processes the manifest, renders the visual segments and narration into an MP4 file at the specified output path.
“Create a 1080p demo video with crossfade transitions using the provided manifest.”
The skill generates an MP4 video at 1920x1080 resolution, applying the requested crossfade effects between all segments.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/microsoft/demo-video/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip demo-video.zip -d .agents/skills

Documentation by Microsoft

Demo Video Assembly Skill

This skill assembles a narrated demo video from ordered visual segments and matching narration audio. It is designed for first-pass walkthrough videos that combine captured prototype frames or clips with per-segment voiceover WAV files.

Overview

The workflow takes a manifest that describes each segment, resolves the visual source, and uses FFmpeg to render each segment into a normalized video clip before assembling the final MP4. It supports hard cuts by default or optional synchronized video and audio fades. The narration track is muxed from WAV files so the output can be reviewed without a separate video-editing tool.

Manifest Schema

Use a segments.yml manifest with optional top-level output settings and an ordered list of segments. Each entry describes a visual source and the narration audio to combine for that portion of the video. All paths resolve relative to the manifest file.

output: ./output/demo.mp4   # optional; destination path for the assembled MP4
resolution: 1280x720        # optional; default 1280x720
fps: 24                     # optional; default 24
transition:                 # optional; omit for hard cuts
  type: crossfade
  duration: 0.5
  fade_in: true
  fade_out: true
segments:
  - type: frame
    visual: ./frames/intro.png
    narration: ./audio/intro.wav
    duration: 4.5
  - type: clip
    clip: ./clips/interaction.mp4
    narration: ./audio/interaction.wav
Top-level fields
  • output sets the destination path for the assembled MP4, resolved relative to the manifest; the --output or -OutputPath argument overrides it when supplied

  • resolution controls the output width and height in WIDTHxHEIGHT form (default 1280x720); the --resolution or -Resolution argument overrides it

  • fps sets the frame rate applied when rendering each segment (default 24); the --fps or -Fps argument overrides it

  • transition enables synchronized scene and narration fades; omit it or set it to none to retain hard cuts

Transition fields
  • type accepts crossfade or fade, which both select FFmpeg's fade cross-transition

  • duration sets every opening, scene, audio, and closing fade in seconds (default 0.5)

  • fade_in controls the opening video and audio fade (default true)

  • fade_out controls the closing video and audio fade (default true)

The assembler adds silent handles around speech and holds the matching endpoint pictures. Crossfades overlap those handles, not adjacent spoken instructions; do not pre-pad narration to compensate. The normalized segments must exceed twice the transition duration. Output duration is the sum of unpadded narration durations plus one transition duration per scene boundary and per enabled opening/closing fade. With transitions disabled, no handles are added.

Segment fields
  • type identifies whether the segment is a still image (frame) or a motion clip (clip)

  • visual points to an image file for a frame segment

  • clip points to a motion clip file for a clip segment

  • narration points to the WAV file generated from narration text (the script also accepts narration_wav as an alias)

  • duration is optional and overrides the inferred duration when you want a fixed segment length

Quick Start

Use the bash or PowerShell wrappers to invoke the assembler from the skill directory.

scripts/assemble-video.sh --manifest examples/segments.yml --output ./output/demo.mp4
scripts/Invoke-AssembleVideo.ps1 -ManifestPath examples/segments.yml -OutputPath ./output/demo.mp4

Parameters Reference

The assembly step accepts the following high-level controls:

  • --manifest or -ManifestPath selects the YAML manifest to process

  • --output or -OutputPath sets the destination MP4 path

  • --fps or -Fps controls the output frame rate for rendered segments

  • --resolution or -Resolution controls the output width and height in the form WIDTHxHEIGHT

  • --timeout or -TimeoutSeconds sets the maximum seconds for each ffprobe or ffmpeg invocation (1-86400, default 600); a timed-out step stops the run with an error that names the step

  • duration per segment lets you override the inferred length when narration timing is known in advance

Failure Behavior

The assembled MP4 is written to a temporary file next to the destination and moved into place only after FFmpeg succeeds. A failed, timed-out, interrupted, or invalid transition run leaves no partial MP4 at the output path and keeps any existing file there unchanged. A successful run replaces an existing file at the output path. Temporary segment files are always removed.

Narration Quality

Narration quality is the single biggest driver of how polished the final video feels. Generate narration with neural voices from Azure AI Speech (part of Azure AI Foundry) through the tts-voiceover skill, for example en-US-Andrew:DragonHDLatestNeural or en-US-Jenny:DragonHDLatestNeural. These produce natural, presentation-grade narration.

This skill assembles video locally with FFmpeg and does not generate video with an AI model. When the narration is synthetic, tell viewers that the voice is AI-generated. HVE demo-material CI publishes silent videos; internal silent timing tracks are removed during finalization.

See the tts-voiceover skill for the neural voice catalog, --voice and --rate controls, and Azure authentication (Microsoft Entra ID recommended, or a key).

Reuse Bridge

This skill is intentionally designed to fit into the existing media workflow:

  • tts-voiceover provides the narration WAV files that this skill muxes into the final output; prefer its Azure AI Speech neural voices for production-quality narration

  • vscode-playwright provides the frame-capture source for prototype walkthroughs and screen-based demos

Prerequisites

FFmpeg and ffprobe must be available on your PATH.

Linux
sudo apt update && sudo apt install ffmpeg
macOS
brew install ffmpeg
Windows
winget install FFmpeg.FFmpeg

Files

tests/corpus/unknown-key.yml

segments:
  - narration: ./examples/fixtures/intro.wav
    unknown: true

Requirements and compatibility

Written for: GitHub Copilot

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs a command-line tool, Needs Python

The author says: Requires FFmpeg on PATH

Security

What our scanner noticed· Low risk

  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Microsoft
Publisher
Microsoft (Official)
Source
microsoft/hve-core · .github/skills/experimental/demo-video · commit f425e94
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download demo-video.zip