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SSML Generation

Generate Google Cloud Text-to-Speech SSML scripts with fixed rate and two-file workflow.

Updated Aug 27, 2026
Search Tags:#production#validation#tts#script-generation#ssml#hypnotic
One-click install
npx skills add https://github.com/randysalars/dreamweaving --skill ssml-generation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: SSML Generation
Source: https://github.com/randysalars/dreamweaving/tree/main/.claude/skills/tier3-production/ssml-generation
Command: npx skills add https://github.com/randysalars/dreamweaving --skill ssml-generation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill transforms concept ideas into production-ready SSML scripts that drive natural, hypnotic voice output for Google Cloud Text-to-Speech.

Core Features & Use Cases

  • Produce SSML segments with precise prosody, breaks, and section-specific tuning (pre_talk, induction, deepening, journey, helm_deep_trance, integration, emergence).
  • Validate, route, and structure two-file outputs: script_production.ssml (production script with SFX markers) and script_voice_clean.ssml (TTS-ready).
  • Apply across sessions and templates to maintain consistent pacing and high-quality voice output in hypnotic-audio experiments.

Quick Start

Provide your journey outline and run the SSML generation process to produce script_production.ssml ready for Google TTS.

Frequently Asked Questions about SSML Generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate SSML scripts for Google Cloud Text-to-Speech?▼

Generate production-ready SSML scripts for Google Cloud Text-to-Speech by providing a journey outline to produce structured output with precise prosody, breaks, and section-specific pacing. This creates a validated TTS-ready script.

What is the two-file SSML workflow for TTS production?▼

The two-file SSML workflow outputs script_production.ssml containing SFX markers and script_voice_clean.ssml for TTS-ready delivery. This separation validates and routes audio production scripts efficiently.

Can I use SSML prosody controls for hypnotic audio sessions?▼

SSML prosody controls drive hypnotic audio sessions by enforcing a fixed rate of 1.0 and applying section-specific tuning across induction, deepening, and emergence phases. This ensures consistent pacing throughout.

How do I structure SSML for different hypnotic induction sections?▼

Structure SSML for hypnotic induction sections by applying section-specific profiles across pre_talk, induction, deepening, journey, helm_deep_trance, integration, and emergence. This maintains consistent pacing and prosody.

Does Google Cloud Text-to-Speech support fixed rate SSML for consistent pacing?▼

Google Cloud Text-to-Speech supports fixed rate SSML by enforcing a rate of 1.0 within the generated scripts. This ensures consistent pacing and high-quality voice output across hypnotic-audio experiments.

What's the best way to validate production-ready SSML scripts?▼

Validate production-ready SSML scripts by following the provided validation path and integration notes for Tier 1 delivery. This ensures the script_production.ssml and script_voice_clean.ssml outputs meet TTS requirements.

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