feat(skills): add demo-video skill for narrated video assembly

.github/skills/experimental/demo-video/SKILL.md

@@ -0,0 +1,101 @@
+---
+name: demo-video
+description: 'Assemble ordered frames or clips with narration into a narrated MP4 via FFmpeg'
+license: MIT
+compatibility: 'Requires FFmpeg on PATH'
+metadata:
+  authors: "microsoft/hve-core"
+  spec_version: "1.0"
+  last_updated: "2026-07-09"
+---
+
+# 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 concatenating them into a final MP4. The narration track is muxed from WAV files so the output can be reviewed as a polished walkthrough without requiring a separate video-editing tool.
+
+## Manifest Schema
+
+Use a `segments.yml` manifest with an ordered list of segments. Each entry describes a visual source and the narration audio to combine for that portion of the video.
+
+```yaml
+segments:
+  - type: frame
+    visual: ./frames/intro.png
+    narration: ./audio/intro.wav
+    duration: 4.5
+  - type: clip
+    clip: ./clips/interaction.mp4
+    narration: ./audio/interaction.wav
+```
+
+### 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.
+
+```bash
+scripts/assemble-video.sh --manifest examples/segments.yml --output ./output/demo.mp4
+```
+
+```powershell
+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`
+* `duration` per segment lets you override the inferred length when narration timing is known in advance
+
+## Narration Quality
+
+Narration quality is the single biggest driver of how polished the final video feels. Prioritize neural voices from **Azure AI Speech (part of Azure AI Foundry)** through the `tts-voiceover` skill for any video you intend to share.
+
+* **Recommended:** Use the `tts-voiceover` skill backed by Azure AI Speech neural voices (for example `en-US-Andrew:DragonHDLatestNeural` or `en-US-Jenny:DragonHDLatestNeural`). These produce natural, presentation-grade narration and are the default for shareable output.
+* **Fallback only:** Offline open-source engines such as `espeak-ng` require no credentials but sound noticeably robotic. Treat them as a no-network smoke-test fallback, not a delivery format. Regenerate narration with Azure AI Speech before publishing.
+
+See the `tts-voiceover` skill for the neural voice catalog, `--voice` and `--rate` controls, and Azure authentication (Entra ID or 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
+
+```bash
+sudo apt update && sudo apt install ffmpeg
+```
+
+### macOS
+
+```bash
+brew install ffmpeg
+```
+
+### Windows
+
+```powershell
+winget install FFmpeg.FFmpeg
+```

.github/skills/experimental/demo-video/examples/README.md

@@ -0,0 +1,29 @@
+---
+title: Demo Video Examples
+description: Example manifest and fixture setup for the demo-video skill
+author: Microsoft
+ms.date: 2026-07-15
+ms.topic: reference
+keywords:
+  - video
+  - ffmpeg
+  - examples
+estimated_reading_time: 2
+---
+
+## Demo Video Example Assets
+
+This example manifest is designed to run with small fixture files that are kept out of source control. Create the following files locally before running the wrapper:
+
+- examples/fixtures/intro.png
+- examples/fixtures/intro.wav
+- examples/fixtures/interaction.mp4
+- examples/fixtures/interaction.wav
+
+The fixtures can be generated from any short local assets, such as:
+
+- a small PNG frame exported from a prototype screenshot
+- a short WAV narration clip produced by the tts-voiceover skill (prefer Azure AI Speech neural voices for natural-sounding narration; offline open-source TTS is a no-credential fallback only)
+- a short MP4 clip exported from a local browser recording or sample video
+
+*🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.*

.github/skills/experimental/demo-video/examples/segments.yml

@@ -0,0 +1,11 @@
+output: ./examples/output/demo.mp4
+resolution: 1280x720
+fps: 24
+segments:
+  - type: frame
+    visual: ./examples/fixtures/intro.png
+    narration: ./examples/fixtures/intro.wav
+    duration: 3.0
+  - type: clip
+    clip: ./examples/fixtures/interaction.mp4
+    narration: ./examples/fixtures/interaction.wav

.github/skills/experimental/demo-video/pyproject.toml

@@ -0,0 +1,30 @@
+[project]
+name = "demo-video-skill"
+version = "0.0.0"
+requires-python = ">=3.11"
+dependencies = [
+    "pyyaml>=6.0",
+]
+
+[dependency-groups]
+dev = [
+    "pytest>=9.0",
+    "pytest-cov>=5.0",
+    "pytest-mock>=3.14",
+    "ruff>=0.15",
+]
+fuzz = [
+    "atheris>=3.0",
+]
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+pythonpath = ["scripts"]
+python_files = ["test_*.py", "fuzz_harness.py"]
+
+[tool.ruff]
+line-length = 88
+target-version = "py311"
+
+[tool.ruff.lint]
+select = ["E", "F", "I", "W"]

.github/skills/experimental/demo-video/scripts/Invoke-AssembleVideo.ps1

@@ -0,0 +1,102 @@
+#!/usr/bin/env pwsh
+# Copyright (c) 2026 Microsoft Corporation. All rights reserved.
+# SPDX-License-Identifier: MIT
+#
+# Invoke-AssembleVideo.ps1
+# Wrapper for assemble_video.py that resolves the skill's Python environment
+# and delegates FFmpeg video assembly.
+#Requires -Version 7.4
+
+<#
+.SYNOPSIS
+    Assembles a narrated MP4 from image/clip segments and narration WAV files.
+
+.DESCRIPTION
+    Resolves the demo-video skill's Python environment with uv and forwards
+    the supplied manifest and output arguments to assemble_video.py.
+
+.PARAMETER ManifestPath
+    Path to the YAML manifest describing the visual segments.
+
+.PARAMETER OutputPath
+    Destination MP4 path for the assembled video.
+
+.PARAMETER Fps
+    Frame rate used when rendering each segment.
+
+.PARAMETER Resolution
+    Output resolution in WIDTHxHEIGHT format.
+
+.EXAMPLE
+    ./Invoke-AssembleVideo.ps1 -ManifestPath examples/segments.yml -OutputPath ./output/demo.mp4
+#>
+
+[CmdletBinding()]
+param(
+    [Parameter(Mandatory = $false)]
+    [string]$ManifestPath,
+
+    [Parameter(Mandatory = $false)]
+    [string]$OutputPath,
+
+    [Parameter(Mandatory = $false)]
+    [int]$Fps,
+
+    [Parameter(Mandatory = $false)]
+    [string]$Resolution
+)
+
+$ErrorActionPreference = 'Stop'
+
+$ScriptDir = $PSScriptRoot
+$SkillRoot = Split-Path $ScriptDir
+$VenvDir = Join-Path $SkillRoot '.venv'
+
+function Test-UvAvailability {
+    if (-not (Get-Command -Name 'uv' -ErrorAction SilentlyContinue)) {
+        throw "uv is required but was not found on PATH. See https://docs.astral.sh/uv/getting-started/installation/ (for example: 'winget install astral-sh.uv' on Windows, or 'curl -LsSf https://astral.sh/uv/install.sh | sh' on Linux/macOS)."
+    }
+}
+
+function Initialize-PythonEnvironment {
+    Write-Verbose 'Syncing Python environment via uv...'
+    & uv sync --directory $SkillRoot
+    if ($LASTEXITCODE -ne 0) {
+        throw 'uv sync failed'
+    }
+}
+
+function Get-VenvPythonPath {
+    if ($IsWindows) {
+        return Join-Path $VenvDir 'Scripts/python.exe'
+    }
+    return Join-Path $VenvDir 'bin/python'
+}
+
+if ($MyInvocation.InvocationName -ne '.') {
+    try {
+        Test-UvAvailability
+        Initialize-PythonEnvironment
+
+        $python = Get-VenvPythonPath
+        if (-not (Test-Path $python)) {
+            throw "Python not found at $python"
+        }
+
+        $script = Join-Path $ScriptDir 'assemble_video.py'
+        $PythonArgs = @()
+        if ($ManifestPath) { $PythonArgs += '--manifest', $ManifestPath }
+        if ($OutputPath) { $PythonArgs += '--output', $OutputPath }
+        if ($PSBoundParameters.ContainsKey('Fps')) { $PythonArgs += '--fps', $Fps }
+        if ($Resolution) { $PythonArgs += '--resolution', $Resolution }
+
+        & $python $script @PythonArgs
+        if ($LASTEXITCODE -ne 0) {
+            throw "assemble_video.py exited with code $LASTEXITCODE"
+        }
+    }
+    catch {
+        Write-Error -ErrorAction Continue "Invoke-AssembleVideo.ps1 failed: $($_.Exception.Message)"
+        exit 1
+    }
+}

.github/skills/experimental/demo-video/scripts/assemble-video.sh

@@ -0,0 +1,50 @@
+#!/usr/bin/env bash
+# Copyright (c) 2026 Microsoft Corporation. All rights reserved.
+# SPDX-License-Identifier: MIT
+#
+# assemble-video.sh
+# Wrapper for assemble_video.py that resolves the skill's Python environment
+# and delegates FFmpeg video assembly.
+
+set -euo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+SKILL_ROOT="$(dirname "${SCRIPT_DIR}")"
+
+err() {
+  printf "ERROR: %s\n" "$1" >&2
+  exit 1
+}
+
+test_uv_availability() {
+  if ! command -v uv &>/dev/null; then
+    err "uv is required but was not found on PATH. Install with: curl -LsSf https://astral.sh/uv/install.sh | sh"
+  fi
+}
+
+initialize_python_environment() {
+  echo "Syncing Python environment via uv..."
+  uv sync --directory "${SKILL_ROOT}"
+  echo "Environment synchronized."
+}
+
+get_venv_python_path() {
+  echo "${SKILL_ROOT}/.venv/bin/python"
+}
+
+main() {
+  local python
+  local -a passthrough_args=("$@")
+
+  test_uv_availability
+  initialize_python_environment
+
+  python="$(get_venv_python_path)"
+  if [[ ! -x "${python}" ]]; then
+    err "Python not found at ${python}."
+  fi
+
+  "${python}" "${SCRIPT_DIR}/assemble_video.py" "${passthrough_args[@]}"
+}
+
+main "$@"