[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FZPWN8ZE0BJC3G7WJWTPAN":3,"skill-same:01M6FZPWN8ZE0BJC3G7WJWTPAN":104},{"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":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M6FZPWN8ZE0BJC3G7WJWTPAN","qwen-tts",null,"Local text-to-speech using Qwen3-TTS-12Hz-1.7B-CustomVoice. Use when generating audio from text, creating voice messages, or when TTS is requested. Supports 10 languages including Italian, 9 premium speaker voices, and instruction-based voice control (emotion, tone, style). Alternative to cloud-based TTS services like ElevenLabs. Runs entirely offline after initial model download.","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\u002Fpaki81\u002Fqwen-tts\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"qwen tts","Qwen","tts","italian","text-to-speech","style","emotion","control","tone","local","qwen3","voice control","speech","use","model","text","voice","Audio","services","messages","2026-11-10 10:12:30",false,"---\nname: qwen-tts\ndescription: Local text-to-speech using Qwen3-TTS-12Hz-1.7B-CustomVoice. Use when generating audio from text, creating voice messages, or when TTS is requested. Supports 10 languages including Italian, 9 premium speaker voices, and instruction-based voice control (emotion, tone, style). Alternative to cloud-based TTS services like ElevenLabs. Runs entirely offline after initial model download.\n---\n\n# Qwen TTS\n\nLocal text-to-speech using Hugging Face's Qwen3-TTS-12Hz-1.7B-CustomVoice model.\n\n## Quick Start\n\nGenerate speech from text:\n\n```bash\nscripts\u002Ftts.py \"Ciao, come va?\" -l Italian -o output.wav\n```\n\nWith voice instruction (emotion\u002Fstyle):\n\n```bash\nscripts\u002Ftts.py \"Sono felice!\" -i \"Parla con entusiasmo\" -l Italian -o happy.wav\n```\n\nDifferent speaker:\n\n```bash\nscripts\u002Ftts.py \"Hello world\" -s Ryan -l English -o hello.wav\n```\n\n## Installation\n\n**First-time setup** (one-time):\n\n```bash\ncd skills\u002Fpublic\u002Fqwen-tts\nbash scripts\u002Fsetup.sh\n```\n\nThis creates a local virtual environment and installs `qwen-tts` package (~500MB).\n\n**Note:** First synthesis downloads ~1.7GB model from Hugging Face automatically.\n\n## Usage\n\n```bash\nscripts\u002Ftts.py [options] \"Text to speak\"\n```\n\n### Options\n\n- `-o, --output PATH` - Output file path (default: qwen_output.wav)\n- `-s, --speaker NAME` - Speaker voice (default: Vivian)\n- `-l, --language LANG` - Language (default: Auto)\n- `-i, --instruct TEXT` - Voice instruction (emotion, style, tone)\n- `--list-speakers` - Show available speakers\n- `--model NAME` - Model name (default: CustomVoice 1.7B)\n\n### Examples\n\n**Basic Italian speech:**\n```bash\nscripts\u002Ftts.py \"Benvenuto nel futuro del text-to-speech\" -l Italian -o welcome.wav\n```\n\n**With emotion\u002Finstruction:**\n```bash\nscripts\u002Ftts.py \"Sono molto felice di vederti!\" -i \"Parla con entusiasmo e gioia\" -l Italian -o happy.wav\n```\n\n**Different speaker:**\n```bash\nscripts\u002Ftts.py \"Hello, nice to meet you\" -s Ryan -l English -o ryan.wav\n```\n\n**List available speakers:**\n```bash\nscripts\u002Ftts.py --list-speakers\n```\n\n## Available Speakers\n\nThe CustomVoice model includes 9 premium voices:\n\n| Speaker | Language | Description |\n|---------|----------|-------------|\n| Vivian | Chinese | Bright, slightly edgy young female |\n| Serena | Chinese | Warm, gentle young female |\n| Uncle_Fu | Chinese | Seasoned male, low mellow timbre |\n| Dylan | Chinese (Beijing) | Youthful Beijing male, clear |\n| Eric | Chinese (Sichuan) | Lively Chengdu male, husky |\n| Ryan | English | Dynamic male, rhythmic |\n| Aiden | English | Sunny American male |\n| Ono_Anna | Japanese | Playful female, light nimble |\n| Sohee | Korean | Warm female, rich emotion |\n\n**Recommendation:** Use each speaker's native language for best quality, though all speakers support all 10 languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, Italian).\n\n## Voice Instructions\n\nUse `-i, --instruct` to control emotion, tone, and style:\n\n**Italian examples:**\n- `\"Parla con entusiasmo\"`\n- `\"Tono serio e professionale\"`\n- `\"Voce calma e rilassante\"`\n- `\"Leggi come un narratore\"`\n\n**English examples:**\n- `\"Speak with excitement\"`\n- `\"Very happy and energetic\"`\n- `\"Calm and soothing voice\"`\n- `\"Read like a narrator\"`\n\n## Integration with OpenClaw\n\nThe script outputs the audio file path to stdout (last line), making it compatible with OpenClaw's TTS workflow:\n\n```bash\n# OpenClaw captures the output path\ncd skills\u002Fpublic\u002Fqwen-tts\nOUTPUT=$(scripts\u002Ftts.py \"Ciao\" -s Vivian -l Italian -o \u002Ftmp\u002Faudio.wav 2>\u002Fdev\u002Fnull)\n# OUTPUT = \u002Ftmp\u002Faudio.wav\n```\n\n## Performance\n\n- **GPU (CUDA):** ~1-3 seconds for short phrases\n- **CPU:** ~10-30 seconds for short phrases  \n- **Model size:** ~1.7GB (auto-downloads on first run)\n- **Venv size:** ~500MB (installed dependencies)\n\n## Troubleshooting\n\n**Setup fails:**\n```bash\n# Ensure Python 3.10-3.12 is available\npython3.12 --version\n\n# Re-run setup\ncd skills\u002Fpublic\u002Fqwen-tts\nrm -rf venv\nbash scripts\u002Fsetup.sh\n```\n\n**Model download slow\u002Ffails:**\n```bash\n# Use mirror (China mainland)\nexport HF_ENDPOINT=https:\u002F\u002Fhf-mirror.com\nscripts\u002Ftts.py \"Test\" -o test.wav\n```\n\n**Out of memory (GPU):**\nThe model automatically falls back to CPU if GPU memory insufficient.\n\n**Audio quality issues:**\n- Try different speaker: `--list-speakers`\n- Add instruction: `-i \"Speak clearly and slowly\"`\n- Check language matches text: `-l Italian` for Italian text\n\n## Model Details\n\n- **Model:** Qwen\u002FQwen3-TTS-12Hz-1.7B-CustomVoice\n- **Source:** Hugging Face (https:\u002F\u002Fhuggingface.co\u002FQwen\u002FQwen3-TTS-12Hz-1.7B-CustomVoice)\n- **License:** Check model card for current license terms\n- **Sample Rate:** 16kHz\n- **Output Format:** WAV (uncompressed)\n","# Qwen TTS\n\nLocal text-to-speech using Hugging Face's Qwen3-TTS-12Hz-1.7B-CustomVoice model.\n\n## Quick Start\n\nGenerate speech from text:\n\n```bash\nscripts\u002Ftts.py \"Ciao, come va?\" -l Italian -o output.wav\n```\n\nWith voice instruction (emotion\u002Fstyle):\n\n```bash\nscripts\u002Ftts.py \"Sono felice!\" -i \"Parla con entusiasmo\" -l Italian -o happy.wav\n```\n\nDifferent speaker:\n\n```bash\nscripts\u002Ftts.py \"Hello world\" -s Ryan -l English -o hello.wav\n```\n\n## Installation\n\n**First-time setup** (one-time):\n\n```bash\ncd skills\u002Fpublic\u002Fqwen-tts\nbash scripts\u002Fsetup.sh\n```\n\nThis creates a local virtual environment and installs `qwen-tts` package (~500MB).\n\n**Note:** First synthesis downloads ~1.7GB model from Hugging Face automatically.\n\n## Usage\n\n```bash\nscripts\u002Ftts.py [options] \"Text to speak\"\n```\n\n### Options\n\n- `-o, --output PATH` - Output file path (default: qwen_output.wav)\n- `-s, --speaker NAME` - Speaker voice (default: Vivian)\n- `-l, --language LANG` - Language (default: Auto)\n- `-i, --instruct TEXT` - Voice instruction (emotion, style, tone)\n- `--list-speakers` - Show available speakers\n- `--model NAME` - Model name (default: CustomVoice 1.7B)\n\n### Examples\n\n**Basic Italian speech:**\n```bash\nscripts\u002Ftts.py \"Benvenuto nel futuro del text-to-speech\" -l Italian -o welcome.wav\n```\n\n**With emotion\u002Finstruction:**\n```bash\nscripts\u002Ftts.py \"Sono molto felice di vederti!\" -i \"Parla con entusiasmo e gioia\" -l Italian -o happy.wav\n```\n\n**Different speaker:**\n```bash\nscripts\u002Ftts.py \"Hello, nice to meet you\" -s Ryan -l English -o ryan.wav\n```\n\n**List available speakers:**\n```bash\nscripts\u002Ftts.py --list-speakers\n```\n\n## Available Speakers\n\nThe CustomVoice model includes 9 premium voices:\n\n| Speaker | Language | Description |\n|---------|----------|-------------|\n| Vivian | Chinese | Bright, slightly edgy young female |\n| Serena | Chinese | Warm, gentle young female |\n| Uncle_Fu | Chinese | Seasoned male, low mellow timbre |\n| Dylan | Chinese (Beijing) | Youthful Beijing male, clear |\n| Eric | Chinese (Sichuan) | Lively Chengdu male, husky |\n| Ryan | English | Dynamic male, rhythmic |\n| Aiden | English | Sunny American male |\n| Ono_Anna | Japanese | Playful female, light nimble |\n| Sohee | Korean | Warm female, rich emotion |\n\n**Recommendation:** Use each speaker's native language for best quality, though all speakers support all 10 languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, Italian).\n\n## Voice Instructions\n\nUse `-i, --instruct` to control emotion, tone, and style:\n\n**Italian examples:**\n- `\"Parla con entusiasmo\"`\n- `\"Tono serio e professionale\"`\n- `\"Voce calma e rilassante\"`\n- `\"Leggi come un narratore\"`\n\n**English examples:**\n- `\"Speak with excitement\"`\n- `\"Very happy and energetic\"`\n- `\"Calm and soothing voice\"`\n- `\"Read like a narrator\"`\n\n## Integration with OpenClaw\n\nThe script outputs the audio file path to stdout (last line), making it compatible with OpenClaw's TTS workflow:\n\n```bash\n# OpenClaw captures the output path\ncd skills\u002Fpublic\u002Fqwen-tts\nOUTPUT=$(scripts\u002Ftts.py \"Ciao\" -s Vivian -l Italian -o \u002Ftmp\u002Faudio.wav 2>\u002Fdev\u002Fnull)\n# OUTPUT = \u002Ftmp\u002Faudio.wav\n```\n\n## Performance\n\n- **GPU (CUDA):** ~1-3 seconds for short phrases\n- **CPU:** ~10-30 seconds for short phrases  \n- **Model size:** ~1.7GB (auto-downloads on first run)\n- **Venv size:** ~500MB (installed dependencies)\n\n## Troubleshooting\n\n**Setup fails:**\n```bash\n# Ensure Python 3.10-3.12 is available\npython3.12 --version\n\n# Re-run setup\ncd skills\u002Fpublic\u002Fqwen-tts\nrm -rf venv\nbash scripts\u002Fsetup.sh\n```\n\n**Model download slow\u002Ffails:**\n```bash\n# Use mirror (China mainland)\nexport HF_ENDPOINT=https:\u002F\u002Fhf-mirror.com\nscripts\u002Ftts.py \"Test\" -o test.wav\n```\n\n**Out of memory (GPU):**\nThe model automatically falls back to CPU if GPU memory insufficient.\n\n**Audio quality issues:**\n- Try different speaker: `--list-speakers`\n- Add instruction: `-i \"Speak clearly and slowly\"`\n- Check language matches text: `-l Italian` for Italian text\n\n## Model Details\n\n- **Model:** Qwen\u002FQwen3-TTS-12Hz-1.7B-CustomVoice\n- **Source:** Hugging Face (https:\u002F\u002Fhuggingface.co\u002FQwen\u002FQwen3-TTS-12Hz-1.7B-CustomVoice)\n- **License:** Check model card for current license terms\n- **Sample Rate:** 16kHz\n- **Output Format:** WAV (uncompressed)\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fpaki81\u002Fqwen-tts",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":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add kbarbel640-del\u002Fskills --skill qwen-tts",{"tool":56,"command":57},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill qwen-tts",{"tool":59,"command":60},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill 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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",[141],{"categoryNo":142,"categoryName":143,"taxonomyType":144,"taxonomyTypeDesc":145},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[147,119,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,124,31],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking",{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":172,"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",[169],{"categoryNo":170,"categoryName":171,"taxonomyType":144,"taxonomyTypeDesc":145},"01JBSEEDCAT000000000000021","资料检索与研究",[173,174,175,176,177,178,179,120,180,161,31,181,119,182,183],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":185,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":189,"publishedAt":38},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[188],{"categoryNo":170,"categoryName":171,"taxonomyType":144,"taxonomyTypeDesc":145},[176,175,174,173,183,178,179,120,177,161,31,180,181,119,182],{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":194,"categories":195,"keywords":196,"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",[],[197,198,199,200,201,202,203,204,205,206,207,208,209],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":211,"name":212,"nameZh":6,"description":213,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":214,"categories":215,"keywords":220,"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",[216,217],{"categoryNo":142,"categoryName":143,"taxonomyType":144,"taxonomyTypeDesc":145},{"categoryNo":218,"categoryName":219,"taxonomyType":114,"taxonomyTypeDesc":115},"01JBSEEDCAT000000000000037","律师与法务",[221,222,223,224,120,225,226,43,227,181,228,229,230,231,232,132,233,234,235],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]