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tts-voiceover Skill

AI Agent SkillPowerShellOpen source

Text-to-speech voice-over generation from YAML speaker notes using Azure Speech SDK with SSML pronunciation control Published by microsoft in hve-core.

Decision snapshot

Is this a fit?

Best for

Data analysis, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is tts-voiceover Skill?

Text-to-speech voice-over generation from YAML speaker notes using Azure Speech SDK with SSML pronunciation control Published by microsoft in hve-core. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
77/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Declared skill metadata

  • Source file: .github/skills/experimental/tts-voiceover/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use tts-voiceover Skill

  • Use it for data analysis.

Built with

PowerShellCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/hve-core
  • Skill file: .github/skills/experimental/tts-voiceover/SKILL.md

What it does

Text-to-speech voice-over generation from YAML speaker notes using Azure Speech SDK with SSML pronunciation control

Skill instructions

TTS Voice Over Skill Generates per-slide WAV voice-over files from YAML speakernotes using Azure Speech SDK with SSML pronunciation control. Overview This skill reads content.yaml files from a PowerPoint skill content directory, extracts speakernotes fields, applies SSML acronym aliases for correct pronunciation of technical terms, and produces one WAV file per slide. Supports dry-run mode for SSML template verification without Azure credentials. Prerequisites Azure Speech resource — Free tier provides 500K characters per month. Authentication — Key-based (SPEECHKEY) or Microsoft Entra ID (SPEECHRESOURCEID). Python 3.11+ with uv for virtual environment management. Data handling note — Speaker-notes content is transmitted to the configured SPEECHREGION for synthesis. Operators must pin an approved region and avoid sending regulated or confidential narration. Key-Based Auth bash export SPEECHKEY="your-speech-key" export SPEECHREGION="eastus" Microsoft Entra ID Auth Requires a custom doma

Verified compatibility and discovery

Frequently asked questions

What is tts-voiceover?

tts-voiceover is a open-source AI agent skill with Copy skill directory. Text-to-speech voice-over generation from YAML speaker notes using Azure Speech SDK with SSML pronunciation control

Who is tts-voiceover best for?

tts-voiceover is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install tts-voiceover?

Install or run tts-voiceover using Copy skill directory. Check tts-voiceover for the latest setup command.

Is tts-voiceover actively maintained?

tts-voiceover may need a closer maintenance check before production use.

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Stars
1,263
Forks
229
Last commit
2 months ago
Last verified
Aug 27, 2026
Metadata fetched
Aug 27, 2026
Repository age
10 months
License
MIT

Project health auto-fetched from the source repository.

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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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