[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6Q4KDAY93WRMK9GR7336V1P":3,"skill-same:01M6Q4KDAY93WRMK9GR7336V1P":82},{"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":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":57,"repositoryHtmlUrl":58,"repositoryHomepageUrl":6,"ownerHtmlUrl":59,"ownerBlogUrl":6,"ownerDescription":60,"updatedAt":61,"install":62,"resources":75},"01M6Q4KDAY93WRMK9GR7336V1P","audio-reply",null,"Generate audio replies using TTS. Trigger with \"read it to me [URL]\" to fetch and read content aloud, or \"talk to me [topic]\" to generate a spoken response. Also responds to \"speak\", \"say it\", \"voice reply\".","Kernel8901\u002Fai-agent-skills-classification","Kernel8901","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F72647553?v=4","01M6KV388J2H5PNC8D8P940BJD","01M6KV38CS5B3AY63RKZB410YM",7,"MIT","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F语音与转录\u002Faudio-reply-skill\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"Audio","audio reply","reply","say","voice reply","replies","URL","with","trigger","me","uv","github","fetch","read","speak","voice","tts","https","code","generate","2026-11-10 10:12:30",false,"---\nname: audio-reply\ndescription: 'Generate audio replies using TTS. Trigger with \"read it to me [URL]\" to fetch and read content aloud, or \"talk to me [topic]\" to generate a spoken response. Also responds to \"speak\", \"say it\", \"voice reply\".'\nhomepage: https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fclaude-code\nmetadata: {\"clawdbot\":{\"emoji\":\"?\",\"requires\":{\"bins\":[\"uv\"]}}}\n---\n\n# Audio Reply Skill\n\nGenerate spoken audio responses using MLX Audio TTS (chatterbox-turbo model).\n\n## Trigger Phrases\n\n- **\"read it to me [URL]\"** - Fetch content from URL and read it aloud\n- **\"talk to me [topic\u002Fquestion]\"** - Generate a conversational response as audio\n- **\"speak\"**, **\"say it\"**, **\"voice reply\"** - Convert your response to audio\n\n## How to Use\n\n### Mode 1: Read URL Content\n```\nUser: read it to me https:\u002F\u002Fexample.com\u002Farticle\n```\n1. Fetch the URL content using WebFetch\n2. Extract readable text (strip HTML, focus on main content)\n3. Generate audio using TTS\n4. Play the audio and delete the file afterward\n\n### Mode 2: Conversational Audio Response\n```\nUser: talk to me about the weather today\n```\n1. Generate a natural, conversational response\n2. Keep it concise (TTS works best with shorter segments)\n3. Convert to audio, play it, then delete the file\n\n## Implementation\n\n### TTS Command\n```bash\nuv run mlx_audio.tts.generate \\\n  --model mlx-community\u002Fchatterbox-turbo-fp16 \\\n  --text \"Your text here\" \\\n  --play \\\n  --file_prefix \u002Ftmp\u002Faudio_reply\n```\n\n### Key Parameters\n- `--model mlx-community\u002Fchatterbox-turbo-fp16` - Fast, natural voice\n- `--play` - Auto-play the generated audio\n- `--file_prefix` - Save to temp location for cleanup\n- `--exaggeration 0.3` - Optional: add expressiveness (0.0-1.0)\n- `--speed 1.0` - Adjust speech rate if needed\n\n### Text Preparation Guidelines\n\n**For \"read it to me\" mode:**\n1. Fetch URL with WebFetch tool\n2. Extract main content, strip navigation\u002Fads\u002Fboilerplate\n3. Summarize if very long (>500 words) - keep key points\n4. Add natural pauses with periods and commas\n\n**For \"talk to me\" mode:**\n1. Write conversationally, as if speaking\n2. Use contractions (I'm, you're, it's)\n3. Add filler words sparingly for naturalness ([chuckle], um, anyway)\n4. Keep responses under 200 words for best quality\n5. Avoid technical jargon unless explaining it\n\n### Audio Generation & Cleanup (IMPORTANT)\n\nAlways delete the audio file after playing - it's already in the chat history.\n\n```bash\n# Generate with unique filename and play\nOUTPUT_FILE=\"\u002Ftmp\u002Faudio_reply_$(date +%s)\"\nuv run mlx_audio.tts.generate \\\n  --model mlx-community\u002Fchatterbox-turbo-fp16 \\\n  --text \"Your response text\" \\\n  --play \\\n  --file_prefix \"$OUTPUT_FILE\"\n\n# ALWAYS clean up after playing\nrm -f \"${OUTPUT_FILE}\"*.wav 2>\u002Fdev\u002Fnull\n```\n\n### Error Handling\n\nIf TTS fails:\n1. Check if model is downloaded (first run downloads ~500MB)\n2. Ensure `uv` is installed and in PATH\n3. Fall back to text response with apology\n\n## Example Workflows\n\n### Example 1: Read URL\n```\nUser: read it to me https:\u002F\u002Fblog.example.com\u002Fnew-feature\n\nAssistant actions:\n1. WebFetch the URL\n2. Extract article content\n3. Generate TTS:\n   uv run mlx_audio.tts.generate \\\n     --model mlx-community\u002Fchatterbox-turbo-fp16 \\\n     --text \"Here's what I found... [article summary]\" \\\n     --play --file_prefix \u002Ftmp\u002Faudio_reply_1706123456\n4. Delete: rm -f \u002Ftmp\u002Faudio_reply_1706123456*.wav\n5. Confirm: \"Done reading the article to you.\"\n```\n\n### Example 2: Talk to Me\n```\nUser: talk to me about what you can help with\n\nAssistant actions:\n1. Generate conversational response text\n2. Generate TTS:\n   uv run mlx_audio.tts.generate \\\n     --model mlx-community\u002Fchatterbox-turbo-fp16 \\\n     --text \"Hey! So I can help you with all kinds of things...\" \\\n     --play --file_prefix \u002Ftmp\u002Faudio_reply_1706123789\n3. Delete: rm -f \u002Ftmp\u002Faudio_reply_1706123789*.wav\n4. (No text output needed - audio IS the response)\n```\n\n## Notes\n\n- First run may take longer as the model downloads (~500MB)\n- Audio quality is best for English; other languages may vary\n- For long content, consider chunking into multiple audio segments\n- The `--play` flag uses system audio - ensure volume is up\n","# Audio Reply Skill\n\nGenerate spoken audio responses using MLX Audio TTS (chatterbox-turbo model).\n\n## Trigger Phrases\n\n- **\"read it to me [URL]\"** - Fetch content from URL and read it aloud\n- **\"talk to me [topic\u002Fquestion]\"** - Generate a conversational response as audio\n- **\"speak\"**, **\"say it\"**, **\"voice reply\"** - Convert your response to audio\n\n## How to Use\n\n### Mode 1: Read URL Content\n```\nUser: read it to me https:\u002F\u002Fexample.com\u002Farticle\n```\n1. Fetch the URL content using WebFetch\n2. Extract readable text (strip HTML, focus on main content)\n3. Generate audio using TTS\n4. Play the audio and delete the file afterward\n\n### Mode 2: Conversational Audio Response\n```\nUser: talk to me about the weather today\n```\n1. Generate a natural, conversational response\n2. Keep it concise (TTS works best with shorter segments)\n3. Convert to audio, play it, then delete the file\n\n## Implementation\n\n### TTS Command\n```bash\nuv run mlx_audio.tts.generate \\\n  --model mlx-community\u002Fchatterbox-turbo-fp16 \\\n  --text \"Your text here\" \\\n  --play \\\n  --file_prefix \u002Ftmp\u002Faudio_reply\n```\n\n### Key Parameters\n- `--model mlx-community\u002Fchatterbox-turbo-fp16` - Fast, natural voice\n- `--play` - Auto-play the generated audio\n- `--file_prefix` - Save to temp location for cleanup\n- `--exaggeration 0.3` - Optional: add expressiveness (0.0-1.0)\n- `--speed 1.0` - Adjust speech rate if needed\n\n### Text Preparation Guidelines\n\n**For \"read it to me\" mode:**\n1. Fetch URL with WebFetch tool\n2. Extract main content, strip navigation\u002Fads\u002Fboilerplate\n3. Summarize if very long (>500 words) - keep key points\n4. Add natural pauses with periods and commas\n\n**For \"talk to me\" mode:**\n1. Write conversationally, as if speaking\n2. Use contractions (I'm, you're, it's)\n3. Add filler words sparingly for naturalness ([chuckle], um, anyway)\n4. Keep responses under 200 words for best quality\n5. Avoid technical jargon unless explaining it\n\n### Audio Generation & Cleanup (IMPORTANT)\n\nAlways delete the audio file after playing - it's already in the chat history.\n\n```bash\n# Generate with unique filename and play\nOUTPUT_FILE=\"\u002Ftmp\u002Faudio_reply_$(date +%s)\"\nuv run mlx_audio.tts.generate \\\n  --model mlx-community\u002Fchatterbox-turbo-fp16 \\\n  --text \"Your response text\" \\\n  --play \\\n  --file_prefix \"$OUTPUT_FILE\"\n\n# ALWAYS clean up after playing\nrm -f \"${OUTPUT_FILE}\"*.wav 2>\u002Fdev\u002Fnull\n```\n\n### Error Handling\n\nIf TTS fails:\n1. Check if model is downloaded (first run downloads ~500MB)\n2. Ensure `uv` is installed and in PATH\n3. Fall back to text response with apology\n\n## Example Workflows\n\n### Example 1: Read URL\n```\nUser: read it to me https:\u002F\u002Fblog.example.com\u002Fnew-feature\n\nAssistant actions:\n1. WebFetch the URL\n2. Extract article content\n3. Generate TTS:\n   uv run mlx_audio.tts.generate \\\n     --model mlx-community\u002Fchatterbox-turbo-fp16 \\\n     --text \"Here's what I found... [article summary]\" \\\n     --play --file_prefix \u002Ftmp\u002Faudio_reply_1706123456\n4. Delete: rm -f \u002Ftmp\u002Faudio_reply_1706123456*.wav\n5. Confirm: \"Done reading the article to you.\"\n```\n\n### Example 2: Talk to Me\n```\nUser: talk to me about what you can help with\n\nAssistant actions:\n1. Generate conversational response text\n2. Generate TTS:\n   uv run mlx_audio.tts.generate \\\n     --model mlx-community\u002Fchatterbox-turbo-fp16 \\\n     --text \"Hey! So I can help you with all kinds of things...\" \\\n     --play --file_prefix \u002Ftmp\u002Faudio_reply_1706123789\n3. Delete: rm -f \u002Ftmp\u002Faudio_reply_1706123789*.wav\n4. (No text output needed - audio IS the response)\n```\n\n## Notes\n\n- First run may take longer as the model downloads (~500MB)\n- Audio quality is best for English; other languages may vary\n- For long content, consider chunking into multiple audio segments\n- The `--play` flag uses system audio - ensure volume is up\n",{"name":5,"homepage":48,"metadata":49,"description":7},"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fclaude-code",{"clawdbot":50},{"emoji":51,"requires":52},"?",{"bins":53},[33],"main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","语音与转录\u002Faudio-reply-skill",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science geek","2026-04-05 16:43:56",{"source":8,"skillName":5,"commands":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill audio-reply",{"tool":68,"command":69},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill audio-reply",{"tool":71,"command":72},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill audio-reply","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F语音与转录\u002Faudio-reply-skill\u002FSKILL.md",true,[76],{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"_meta.json","REFERENCE","参考文档",281,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F语音与转录\u002Faudio-reply-skill\u002F_meta.json",[83,107,141,152,162,190],{"skillNo":84,"name":85,"nameZh":6,"description":86,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":87,"categories":88,"keywords":89,"publishedAt":43},"01M6Q5R6WZ06RRB9RQTW54B34B","zyfai","Earn yield on any Ethereum wallet on Base, Arbitrum, and Plasma. Use when a user wants passive DeFi yield on their funds. Deploys a non-custodial subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzyfai-sdk\u002FSKILL.md",[],[85,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106],"safe","ethereum","defi","Optimization","user","use","Wallet","base","deposit","withdraw","yield","arbitrum","non-custodial","passive","defi yield","earn","yield optimization",{"skillNo":108,"name":109,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":123,"publishedAt":43},"01M6Q5R337B5JSNER4P4YS03TN","zerion-api","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api\u002FSKILL.md",[112,115,118],{"categoryNo":113,"categoryName":114,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":116,"categoryName":117,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":119,"categoryName":120,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[124,125,126,127,128,129,130,92,131,96,132,133,134,135,136,137,138,139,140],"api","zerion api","zerion","MCP","mcp server","server","blockchain","transactions","crypto wallet","crypto","evm","solana","query","across","positions","token","prices",{"skillNo":142,"name":143,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":144,"categories":145,"keywords":149,"publishedAt":43},"01M6Q5QZFYTDAZMZ27BN5VZXAR","zerion-api-skill","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-skill\u002FSKILL.md",[146,147,148],{"categoryNo":113,"categoryName":114,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":116,"categoryName":117,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":119,"categoryName":120,"taxonomyType":121,"taxonomyTypeDesc":122},[124,150,151,125,126,127,128,129,130,92,131,96,133,134,135,136,137,138,139,140],"api skill","zerion api skill",{"skillNo":153,"name":154,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":160,"publishedAt":43},"01M6Q5QW17QW98RA3FE45E4RD8","zerion-api-mcp","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-mcp\u002FSKILL.md",[157,158,159],{"categoryNo":113,"categoryName":114,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":116,"categoryName":117,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":119,"categoryName":120,"taxonomyType":121,"taxonomyTypeDesc":122},[127,124,161,125,126,128,129,92,131,96,132,133,134,135,136,137,138,139,140],"zerion api mcp",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":171,"publishedAt":43},"01M6Q5QQYZB7A501BDEQWKGSJT","yahoo-finance-forex","Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR\u002FUSD, GBP\u002FUSD, USD\u002FJPY, etc.). Analyzes sentiment and provides trading context.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-forex\u002FSKILL.md",[168],{"categoryNo":169,"categoryName":170,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000040","财务",[172,173,174,175,176,34,40,177,178,179,180,181,182,183,184,185,186,187,188,189],"finance","yahoo finance","forex","yahoo","yahoo finance forex","sentiment","real-time","python3","install","Market","usd","news","time","currency","gbp","pip","market data","for",{"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":197,"publishedAt":43},"01M6Q5QM6VS84WZVM7BKXXPF32","yahoo-finance","This skill should be used when the user asks to \"get stock prices\", \"check stock quotes\", \"look up earnings\", \"get financial data\", \"find trending stocks\", or needs stock market data from Yahoo Finance.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-cli\u002FSKILL.md",[196],{"categoryNo":169,"categoryName":170,"taxonomyType":121,"taxonomyTypeDesc":122},[172,173,175,198,199,200,201,202,203,181,204,205,206,207,208,209,210,211,140,188],"cli","homebrew","find","check","brew","up","local","get","stock","link","trending","sf","quotes","ln"]