User asks how to pronounce an English word or project/product name ("how to pronounce X", "pronounce X", "X 怎么读", "X 怎么发音", "读一下 X"). Generate audio via the say-it CLI so the user actually HEARS the word — three times by default — instead of only writing IPA/syllable hints. The CLI consults a community-maintained pronunciation dictionary (kubectl → "koob-control", GIF → "jif", JSON → "jay-son", ...) and feeds an English-like respelling to the system TTS engine (macOS say, Linux espeak-ng, or Windows PowerShell) so project names come out the way engineers actually say them. Triggers on a single word or short phrase the user explicitly wants spoken.
$npx -y skills add anzy-renlab-ai/pronounce --skill pronounce-wordInstalls into the current project.
Run `npx skills use "https://github.com/anzy-renlab-ai/pronounce" --skill "anzy-renlab-ai/pronounce/pronounce-word"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/anzy-renlab-ai/pronounce" that are relevant to the current task. Run `npx skills add "https://github.com/anzy-renlab-ai/pronounce"` and select the relevant skills, then follow their instructions.