leegonzales/aiskills
Overview
This skill generates a standalone HTML reader with Kokoro TTS audio and word-synced highlighting from any markdown file. It produces a single self-contained reader.html that embeds compressed audio and real-time word highlighting for listening, proofreading, or sharing. The tool runs locally and outputs a pure static file you can open in any browser.
How this skill works
The pipeline creates per-paragraph WAV chunks with Kokoro TTS, transcribes each chunk with Whisper to get drift-free word timestamps, and then assembles a single HTML file embedding an MP3 and synchronized per-word timing. The reader includes playback controls, keyboard shortcuts, and click-to-seek behavior so users can jump to any word. A small wrapper script auto-creates a virtual environment and installs dependencies on first run.
When to use it
- You want to listen to a markdown essay, article, or notes with synced highlighting.
- You need to proofread by ear to catch rhythm, tone, or awkward phrasing.
- You want a shareable, serverless audio reader (single HTML file) to distribute.
- You prefer generating lightweight, offline audio readers for accessibility testing.
- You need to convert chapters or sections into per-word-synced playback for review.
Best practices
- Run on a macOS machine with Apple Silicon (M1+) for best compatibility and performance.
- Use Python 3.13+ and install ffmpeg to produce compressed MP3 output.
- Keep paragraphs reasonably sized to improve alignment accuracy during transcription.
- Adjust --speed and --voice to match desired tone before generating the final reader.
- Use --strip-sections to exclude non-narrative headings (e.g., References) to shorten audio.
Example use cases
- Generate an audio reader for a long-form essay to proofread pacing and clarity by ear.
- Create an offline HTML reader to share a narrated version of documentation or tutorials.
- Produce a highlighted playback for accessibility reviews or user testing sessions.
- Export chapter previews from markdown files to embed in a portfolio or preview page.
- Quickly generate narrated drafts to evaluate voice, speed, and emphasis choices.
FAQ
The tool is designed for macOS on Apple Silicon and requires Python 3.13+. Other platforms may not be supported.
How long does generation take?
Typical essays take about 2–5 minutes; time depends on length and system performance.
Can I change voice or speed?
Yes. Use the --voice and --speed flags to pick a Kokoro voice variant and speech rate.
21 skills
This skill generates a standalone HTML reader from markdown with Kokoro TTS audio and word-synced highlighting for easy listening and proofreading.
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