Guides text-to-speech generation and speech-to-text transcription using fal.ai audio models for audio processing tasks.
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Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
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.