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Claude Code
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Codex CLI
Muse
OpenClaw+21 moreClaude CodeCursorCodex CLIMuseOpenClaw
Manus
Grok
Grok Bot+18 agentsSpoken Audio Forge
Turn scripts, CSVs, and articles into professional, reproducible spoken audio — narration, voiceovers, and IVR prompts with steerable tone and pacing.
Free
Spoken Audio Forge
Example session with this skill installed
I have a product walkthrough script in docs/onboarding-walkthrough.md and 14 short support prompts in support-lines.csv. Please turn the walkthrough into numbered MP3 narration segments with a calm, trustworthy tone, and render each support line as its own WAV file with a clear, unhurried phone-menu delivery. Use the cedar voice for the walkthrough and marin for the support prompts, keep every chunk under the per-request character limit, and drop the final files into the standard output folder with a record of the exact settings used for each clip.
- Read your context and instructions
- Compiled the spoken audio forge
- Generated the data export
Summary
Rendered the onboarding walkthrough as 4 continuous MP3 segments and all 14 support lines as WAV prompts; manifests cleaned and per-clip settings logged.
| Item | Requested | Delivered |
|---|---|---|
| Walkthrough segments | 1 script, calm tone | walkthrough-001.mp3 … walkthrough-004.mp3 (cedar, moderate pacing) |
| Support prompts | 14 CSV lines | prompt-001.wav … prompt-014.wav (marin, measured pacing, pauses between options) |
| Rate limit | batch-safe | 18 requests at 45 RPM, 0 failures |
| Longest chunk | under per-request cap | 3,812 chars, split at a section boundary |
Next steps
- Listen to walkthrough-002 — the acronym "SPRV" may need a pronunciation note
- If the support prompts feel rushed, change only pacing and re-render the batch
- Files are in output/spoken-audio/; keep the instruction specs for future re-renders
- Disclose synthetic voice wherever this audio is presented as a human narrator
spoken-audio-forge.csv
CSV · data export
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Generating high-quality, professional text-to-speech for product demos, IVR systems, or narration often requires tedious manual tweaking and custom scripts. Developers face challenges with inconsistent pacing, fragmented batch processing, and hit-or-miss tone control across multiple files.
What it does
- Synthesizes scripts, CSVs, or articles into professional audio clips using OpenAI Audio API models.
- Handles long-form content by automatically segmenting text into chunks under 4096 characters to prevent truncation.
- Executes batch jobs via JSONL manifests for consistent generation of multiple prompts or lines.
- Applies steerable delivery specs to control affect, tone, pacing, and diction for specific contexts like accessibility or sales.
- Manages local file organization with stable, sortable naming conventions for reproducible workflows.
Frameworks & tools
OpenAI Audio API (GPT-4o mini TTS), Python openai library, and uv for package management.
Why this beats prompting it yourself
This skill provides a structured CLI-first approach that ensures auditability and reproducibility. It avoids the common pitfalls of ad-hoc scripts by enforcing hard constraints on character limits and API rate-limiting while providing standardized templates for tone and pacing that go beyond basic text prompts.
Use cases
- Creating voiceovers for product walkthroughs and explainer videos.
- Generating numbered IVR prompt sets for phone menus and support systems.
- Producing accessibility readouts for long-form articles or documentation.
- Batch processing localized UI strings into spoken notification clips.
Known limitations
Does not support voice cloning, custom voice enrollment, or real-time streaming. Limited to built-in OpenAI voices. No post-production editing or music mixing capabilities.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
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- 3
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