Read, update, validate, and enumerate speech-to-text models for Whisper and gateway routing.
npx skills add https://github.com/Acosmi/CrabClaw --skill stt-config
Please help me install this Agent Skill. Skill: stt-config Source: https://github.com/Acosmi/CrabClaw/tree/main/docs/skills/tools/system/stt-config Command: npx skills add https://github.com/Acosmi/CrabClaw --skill stt-config
Automates the lifecycle of STT configurations: reading current settings, updating models, validating connectivity, and enumerating available models across providers. This reduces manual configuration drift and speeds up deployment of new speech-to-text capabilities.
Query the current STT configuration with get, list available models with models for a provider, then apply a set with set and verify connectivity with test.
High-intent search queries and answers about installing and using this skill.
You can manage speech-to-text configuration settings by reading current settings, updating models, and validating configurations. This process requires a baseHash for updates to enforce safe workflows and prevent configuration drift.
You can enumerate available speech-to-text models per provider to compare options for gateway routing scenarios. This allows you to list and select models across different providers before applying configuration updates.
You validate speech-to-text connectivity by running a test action after updating your model configuration. This verifies that your new settings are correctly applied and that the gateway or Whisper-based provider is reachable.
Yes, this speech-to-text configuration tool works with Whisper-based scenarios. You can read settings, switch providers, enumerate available Whisper models, and apply validated configuration updates safely.
A baseHash is required to update STT models to enforce safe workflows and prevent manual configuration drift. It ensures you are working from the most current configuration state before applying any model or provider changes.
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