[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openclaw-openclaw-skills-openai-whisper":3},{"error":4,"detail":5,"metadata":23,"markdownContent":25,"rawMarkdown":20},false,{"repo_full_name":6,"owner":7,"repo_name":7,"repo_forks":8,"skill_path":9,"repo_stars":10,"name":11,"category_id":12,"description":13,"file_tree":14,"skill_md_content":20,"skill_id":21,"skill_key":22},"openclaw/openclaw","openclaw",62381,"skills/openai-whisper",323635,"openai-whisper",1,"Local speech-to-text with the Whisper CLI (no API key).",[15],{"name":16,"path":17,"size":18,"type":19},"SKILL.md","skills/openai-whisper/SKILL.md",912,"file","---\nname: openai-whisper\ndescription: Local speech-to-text with the Whisper CLI (no API key).\nhomepage: https://openai.com/research/whisper\nmetadata:\n  {\n    \"openclaw\":\n      {\n        \"emoji\": \"🎤\",\n        \"requires\": { \"bins\": [\"whisper\"] },\n        \"install\":\n          [\n            {\n              \"id\": \"brew\",\n              \"kind\": \"brew\",\n              \"formula\": \"openai-whisper\",\n              \"bins\": [\"whisper\"],\n              \"label\": \"Install OpenAI Whisper (brew)\",\n            },\n          ],\n      },\n  }\n---\n\n# Whisper (CLI)\n\nUse `whisper` to transcribe audio locally.\n\nQuick start\n\n- `whisper /path/audio.mp3 --model medium --output_format txt --output_dir .`\n- `whisper /path/audio.m4a --task translate --output_format srt`\n\nNotes\n\n- Models download to `~/.cache/whisper` on first run.\n- `--model` defaults to `turbo` on this install.\n- Use smaller models for speed, larger for accuracy.\n","aa2dcf9a-6f66-57b0-9bae-a8a4f08accf0","openclaw-openclaw-skills-openai-whisper",{"name":11,"description":13,"homepage":24},"https://openai.com/research/whisper","\u003Ch1>Whisper (CLI)\u003C/h1>\n\u003Cp>Use \u003Ccode>whisper\u003C/code> to transcribe audio locally.\u003C/p>\n\u003Cp>Quick start\u003C/p>\n\u003Cul>\n\u003Cli>\u003Ccode>whisper /path/audio.mp3 --model medium --output_format txt --output_dir .\u003C/code>\u003C/li>\n\u003Cli>\u003Ccode>whisper /path/audio.m4a --task translate --output_format srt\u003C/code>\u003C/li>\n\u003C/ul>\n\u003Cp>Notes\u003C/p>\n\u003Cul>\n\u003Cli>Models download to \u003Ccode>~/.cache/whisper\u003C/code> on first run.\u003C/li>\n\u003Cli>\u003Ccode>--model\u003C/code> defaults to \u003Ccode>turbo\u003C/code> on this install.\u003C/li>\n\u003Cli>Use smaller models for speed, larger for accuracy.\u003C/li>\n\u003C/ul>\n"]