[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FH7263XSWBVR5BYH87WREJ":3,"skill-same:01M6FH7263XSWBVR5BYH87WREJ":76},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M6FH7263XSWBVR5BYH87WREJ","parakeet-stt",null,"Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, or processing voice recordings locally without cloud APIs.","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fcarlulsoe\u002Fparakeet-stt\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"stt","parakeet stt","whisper","openai-compatible","URL","with","processing","v3","local","files","onnx","auto","use","fastapi","speech to text","text","Audio","api","NVIDIA","speech","2026-11-10 10:12:30",false,"---\nname: parakeet-stt\ndescription: >-\n  Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU).\n  30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API.\n  Use when transcribing audio files, converting speech to text, or processing\n  voice recordings locally without cloud APIs.\nhomepage: https:\u002F\u002Fgithub.com\u002Fgroxaxo\u002Fparakeet-tdt-0.6b-v3-fastapi-openai\nmetadata: {\"clawdbot\":{\"emoji\":\"?\",\"env\":[\"PARAKEET_URL\"]}}\n---\n\n# Parakeet TDT (Speech-to-Text)\n\nLocal transcription using NVIDIA Parakeet TDT 0.6B v3 with ONNX Runtime.\nRuns on CPU — no GPU required. ~30x faster than realtime.\n\n## Installation\n\n```bash\n# Clone the repo\ngit clone https:\u002F\u002Fgithub.com\u002Fgroxaxo\u002Fparakeet-tdt-0.6b-v3-fastapi-openai.git\ncd parakeet-tdt-0.6b-v3-fastapi-openai\n\n# Run with Docker (recommended)\ndocker compose up -d parakeet-cpu\n\n# Or run directly with Python\npip install -r requirements.txt\nuvicorn app.main:app --host 0.0.0.0 --port 5000\n```\n\nDefault port is `5000`. Set `PARAKEET_URL` to override (e.g., `http:\u002F\u002Flocalhost:5092`).\n\n## API Endpoint\n\nOpenAI-compatible API at `$PARAKEET_URL` (default: `http:\u002F\u002Flocalhost:5000`).\n\n## Quick Start\n\n```bash\n# Transcribe audio file (plain text)\ncurl -X POST $PARAKEET_URL\u002Fv1\u002Faudio\u002Ftranscriptions \\\n  -F \"file=@\u002Fpath\u002Fto\u002Faudio.mp3\" \\\n  -F \"response_format=text\"\n\n# Get timestamps and segments\ncurl -X POST $PARAKEET_URL\u002Fv1\u002Faudio\u002Ftranscriptions \\\n  -F \"file=@\u002Fpath\u002Fto\u002Faudio.mp3\" \\\n  -F \"response_format=verbose_json\"\n\n# Generate subtitles (SRT)\ncurl -X POST $PARAKEET_URL\u002Fv1\u002Faudio\u002Ftranscriptions \\\n  -F \"file=@\u002Fpath\u002Fto\u002Faudio.mp3\" \\\n  -F \"response_format=srt\"\n```\n\n## Python \u002F OpenAI SDK\n\n```python\nimport os\nfrom openai import OpenAI\n\nclient = OpenAI(\n    base_url=os.getenv(\"PARAKEET_URL\", \"http:\u002F\u002Flocalhost:5000\") + \"\u002Fv1\",\n    api_key=\"not-needed\"\n)\n\nwith open(\"audio.mp3\", \"rb\") as f:\n    transcript = client.audio.transcriptions.create(\n        model=\"parakeet-tdt-0.6b-v3\",\n        file=f,\n        response_format=\"text\"\n    )\nprint(transcript)\n```\n\n## Response Formats\n\n| Format | Output |\n|--------|--------|\n| `text` | Plain text |\n| `json` | `{\"text\": \"...\"}` |\n| `verbose_json` | Segments with timestamps and words |\n| `srt` | SRT subtitles |\n| `vtt` | WebVTT subtitles |\n\n## Supported Languages (25)\n\nEnglish, Spanish, French, German, Italian, Portuguese, Polish, Russian,\nUkrainian, Dutch, Swedish, Danish, Finnish, Norwegian, Greek, Czech,\nRomanian, Hungarian, Bulgarian, Slovak, Croatian, Lithuanian, Latvian,\nEstonian, Slovenian\n\nLanguage is auto-detected — no configuration needed.\n\n## Web Interface\n\nOpen `$PARAKEET_URL` in a browser for drag-and-drop transcription UI.\n\n## Docker Management\n\n```bash\n# Check status\ndocker ps --filter \"name=parakeet\"\n\n# View logs\ndocker logs -f \u003Ccontainer-name>\n\n# Restart\ndocker compose restart\n\n# Stop\ndocker compose down\n```\n\n## Why Parakeet over Whisper?\n\n- **Speed**: ~30x faster than realtime on CPU\n- **Accuracy**: Comparable to Whisper large-v3\n- **Privacy**: Runs 100% locally, no cloud calls\n- **Compatibility**: Drop-in replacement for OpenAI's transcription API\n","# Parakeet TDT (Speech-to-Text)\n\nLocal transcription using NVIDIA Parakeet TDT 0.6B v3 with ONNX Runtime.\nRuns on CPU — no GPU required. ~30x faster than realtime.\n\n## Installation\n\n```bash\n# Clone the repo\ngit clone https:\u002F\u002Fgithub.com\u002Fgroxaxo\u002Fparakeet-tdt-0.6b-v3-fastapi-openai.git\ncd parakeet-tdt-0.6b-v3-fastapi-openai\n\n# Run with Docker (recommended)\ndocker compose up -d parakeet-cpu\n\n# Or run directly with Python\npip install -r requirements.txt\nuvicorn app.main:app --host 0.0.0.0 --port 5000\n```\n\nDefault port is `5000`. Set `PARAKEET_URL` to override (e.g., `http:\u002F\u002Flocalhost:5092`).\n\n## API Endpoint\n\nOpenAI-compatible API at `$PARAKEET_URL` (default: `http:\u002F\u002Flocalhost:5000`).\n\n## Quick Start\n\n```bash\n# Transcribe audio file (plain text)\ncurl -X POST $PARAKEET_URL\u002Fv1\u002Faudio\u002Ftranscriptions \\\n  -F \"file=@\u002Fpath\u002Fto\u002Faudio.mp3\" \\\n  -F \"response_format=text\"\n\n# Get timestamps and segments\ncurl -X POST $PARAKEET_URL\u002Fv1\u002Faudio\u002Ftranscriptions \\\n  -F \"file=@\u002Fpath\u002Fto\u002Faudio.mp3\" \\\n  -F \"response_format=verbose_json\"\n\n# Generate subtitles (SRT)\ncurl -X POST $PARAKEET_URL\u002Fv1\u002Faudio\u002Ftranscriptions \\\n  -F \"file=@\u002Fpath\u002Fto\u002Faudio.mp3\" \\\n  -F \"response_format=srt\"\n```\n\n## Python \u002F OpenAI SDK\n\n```python\nimport os\nfrom openai import OpenAI\n\nclient = OpenAI(\n    base_url=os.getenv(\"PARAKEET_URL\", \"http:\u002F\u002Flocalhost:5000\") + \"\u002Fv1\",\n    api_key=\"not-needed\"\n)\n\nwith open(\"audio.mp3\", \"rb\") as f:\n    transcript = client.audio.transcriptions.create(\n        model=\"parakeet-tdt-0.6b-v3\",\n        file=f,\n        response_format=\"text\"\n    )\nprint(transcript)\n```\n\n## Response Formats\n\n| Format | Output |\n|--------|--------|\n| `text` | Plain text |\n| `json` | `{\"text\": \"...\"}` |\n| `verbose_json` | Segments with timestamps and words |\n| `srt` | SRT subtitles |\n| `vtt` | WebVTT subtitles |\n\n## Supported Languages (25)\n\nEnglish, Spanish, French, German, Italian, Portuguese, Polish, Russian,\nUkrainian, Dutch, Swedish, Danish, Finnish, Norwegian, Greek, Czech,\nRomanian, Hungarian, Bulgarian, Slovak, Croatian, Lithuanian, Latvian,\nEstonian, Slovenian\n\nLanguage is auto-detected — no configuration needed.\n\n## Web Interface\n\nOpen `$PARAKEET_URL` in a browser for drag-and-drop transcription UI.\n\n## Docker Management\n\n```bash\n# Check status\ndocker ps --filter \"name=parakeet\"\n\n# View logs\ndocker logs -f \u003Ccontainer-name>\n\n# Restart\ndocker compose restart\n\n# Stop\ndocker compose down\n```\n\n## Why Parakeet over Whisper?\n\n- **Speed**: ~30x faster than realtime on CPU\n- **Accuracy**: Comparable to Whisper large-v3\n- **Privacy**: Runs 100% locally, no cloud calls\n- **Compatibility**: Drop-in replacement for OpenAI's transcription API\n",{"name":5,"homepage":43,"metadata":44,"description":7},"https:\u002F\u002Fgithub.com\u002Fgroxaxo\u002Fparakeet-tdt-0.6b-v3-fastapi-openai",{"clawdbot":45},{"env":46,"emoji":48},[47],"PARAKEET_URL","?","main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fcarlulsoe\u002Fparakeet-stt",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add kbarbel640-del\u002Fskills --skill 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tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[83],{"categoryNo":84,"categoryName":85,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[89,90,35,23,91,92,93,94,95,96,33,97,98,99,100,101,102,103,104],"crowd prompting","prompting","tokens","domain","world","prompts","operations","instructions","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":116,"publishedAt":38},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[111],{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[117,35,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,94,30],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":142,"publishedAt":38},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[139],{"categoryNo":140,"categoryName":141,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000021","资料检索与研究",[143,144,145,146,147,148,149,23,150,131,30,151,35,152,153],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":155,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":159,"publishedAt":38},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[158],{"categoryNo":140,"categoryName":141,"taxonomyType":114,"taxonomyTypeDesc":115},[146,145,144,143,153,148,149,23,147,131,30,150,151,35,152],{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":166,"publishedAt":38},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[167,168,169,170,171,172,173,174,175,176,177,178,179],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":181,"name":182,"nameZh":6,"description":183,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":184,"categories":185,"keywords":190,"publishedAt":38},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[186,187],{"categoryNo":112,"categoryName":113,"taxonomyType":114,"taxonomyTypeDesc":115},{"categoryNo":188,"categoryName":189,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000037","律师与法务",[191,192,193,194,23,195,196,49,197,151,198,199,200,201,202,102,203,204,205],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]