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Text-to-speech and speech-to-text using fal.ai audio models
Use when CrossFrame Suite routes explicit Chinese casebook work: turning materials into reusable cases, anonymized entries, mechanisms, and retrieval indexes.
Use only when the user explicitly names crossframe-critical for a Chinese structural critique dossier, article plan, or long-form critical essay.
Use when CrossFrame Suite routes explicit Chinese proposition testing, debate analysis, hidden-premise review, rebuttal design, or withdrawal condition checks.
Use when CrossFrame Suite routes explicit Chinese reader replies, editor responses, consultation-style short answers, or boundary-aware structural advice.
Use when explicit CrossFrame work needs a Chinese critical insight essay, commentary, concept essay, public piece, or structure-to-article draft after diagnosis.
Use when CrossFrame Suite routes explicit Chinese notes for books, theories, articles, excerpts, bidirectional reading, absorption, or conflict mapping.
| name | fal-audio |
| description | Text-to-speech and speech-to-text using fal.ai audio models |
| risk | safe |
| source | https://github.com/fal-ai-community/skills/blob/main/skills/claude.ai/fal-audio/SKILL.md |
| date_added | 2026-02-27 |
Text-to-speech and speech-to-text using fal.ai audio models
Use this skill when you need to work with text-to-speech and speech-to-text using fal.ai audio models.
This skill provides guidance and patterns for text-to-speech and speech-to-text using fal.ai audio models.
For more information, see the source repository.
