[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6BXM2DCQE8ZQ2P9MHZFC3ZD":3,"skill-same:01M6BXM2DCQE8ZQ2P9MHZFC3ZD":58},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":26,"linkOnly":27,"markdownContent":28,"markdownBody":29,"frontMatter":30,"refName":36,"commitSha":37,"skillDirectory":38,"forksCount":39,"repositoryHtmlUrl":40,"repositoryHomepageUrl":6,"ownerHtmlUrl":41,"ownerBlogUrl":6,"ownerDescription":42,"updatedAt":43,"install":44,"resources":57},"01M6BXM2DCQE8ZQ2P9MHZFC3ZD","speak",null,"Speak text aloud using the Magpie TTS container in the realtime-api Docker stack. Zero external dependencies — just curl + aplay.","OriNachum\u002Fautonomous-intelligence","OriNachum","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F20955789?v=4","01M6BXKB8XY7RHN166G1TY4FRF","Ori Nachum","01M6BXKBCPVY67KNQ7D7QFH1PD",245,"MIT","https:\u002F\u002Fgithub.com\u002FOriNachum\u002Fautonomous-intelligence\u002Fblob\u002Fmain\u002Frealtime-api\u002F.agent\u002Fskills\u002Fspeak\u002FSKILL.md",[],[5,19,20,21,22,23,24,25],"docker","realtime","ZeRO","api","tts","stack","text","2026-11-10 10:12:30",false,"---\nname: speak\ndescription: Speak text aloud using the Magpie TTS container in the realtime-api Docker stack. Zero external dependencies — just curl + aplay.\ntriggers:\n  - speak\n  - say\n  - tell me\n  - read aloud\n  - announce\n---\n\n# Speak via Magpie TTS\n\nSynthesize speech using the local Magpie TTS container (port 9000) and play through speakers.\n\n## When to use\n\n- When the user says \"speak\", \"say\", \"tell me\", \"read aloud\"\n- After completing a significant task — speak a brief 1-2 sentence summary\n- When the user asks you to announce or vocalize something\n- To give audio feedback on deploy\u002Ftest results\n\n## Usage\n\n```bash\n\u002Fhome\u002Fspark\u002Fgit\u002Fautonomous-intelligence\u002Frealtime-api\u002Fscripts\u002Fspeak.sh \"Text to speak\"\n```\n\n## Options\n\n| Flag | Short | Default | Description |\n|------|-------|---------|-------------|\n| (positional) | | (required) | Text to speak |\n| `--voice` | `-v` | `Mia.Calm` | Voice name |\n| `--speed` | `-s` | `125` | Speed percentage |\n| `--url` | `-u` | `http:\u002F\u002Flocalhost:9000` | Magpie TTS URL |\n\n## Voices\n\nMia, Mia.Calm, Mia.Happy, Mia.Sad, Mia.Angry, Aria, Aria.Calm, Aria.Happy, Jason, Jason.Calm, Leo, Leo.Calm\n\n## Examples\n\n```bash\n# Default calm voice\n\u002Fhome\u002Fspark\u002Fgit\u002Fautonomous-intelligence\u002Frealtime-api\u002Fscripts\u002Fspeak.sh \"Deploy complete. All seven checks passed.\"\n\n# Happy announcement\n\u002Fhome\u002Fspark\u002Fgit\u002Fautonomous-intelligence\u002Frealtime-api\u002Fscripts\u002Fspeak.sh -v Mia.Happy \"All tests passed!\"\n\n# Different speed\n\u002Fhome\u002Fspark\u002Fgit\u002Fautonomous-intelligence\u002Frealtime-api\u002Fscripts\u002Fspeak.sh -s 140 \"Speaking faster now.\"\n```\n\n## Notes\n\n- Uses the Magpie TTS container from the realtime-api docker-compose stack (localhost:9000)\n- No Python dependencies — just curl and aplay\n- Audio plays through PipeWire\u002FALSA\n- Keep messages concise (1-2 sentences) for task summaries\n","# Speak via Magpie TTS\n\nSynthesize speech using the local Magpie TTS container (port 9000) and play through speakers.\n\n## When to use\n\n- When the user says \"speak\", \"say\", \"tell me\", \"read aloud\"\n- After completing a significant task — speak a brief 1-2 sentence summary\n- When the user asks you to announce or vocalize something\n- To give audio feedback on deploy\u002Ftest results\n\n## Usage\n\n```bash\n\u002Fhome\u002Fspark\u002Fgit\u002Fautonomous-intelligence\u002Frealtime-api\u002Fscripts\u002Fspeak.sh \"Text to speak\"\n```\n\n## Options\n\n| Flag | Short | Default | Description |\n|------|-------|---------|-------------|\n| (positional) | | (required) | Text to speak |\n| `--voice` | `-v` | `Mia.Calm` | Voice name |\n| `--speed` | `-s` | `125` | Speed percentage |\n| `--url` | `-u` | `http:\u002F\u002Flocalhost:9000` | Magpie TTS URL |\n\n## Voices\n\nMia, Mia.Calm, Mia.Happy, Mia.Sad, Mia.Angry, Aria, Aria.Calm, Aria.Happy, Jason, Jason.Calm, Leo, Leo.Calm\n\n## Examples\n\n```bash\n# Default calm voice\n\u002Fhome\u002Fspark\u002Fgit\u002Fautonomous-intelligence\u002Frealtime-api\u002Fscripts\u002Fspeak.sh \"Deploy complete. All seven checks passed.\"\n\n# Happy announcement\n\u002Fhome\u002Fspark\u002Fgit\u002Fautonomous-intelligence\u002Frealtime-api\u002Fscripts\u002Fspeak.sh -v Mia.Happy \"All tests passed!\"\n\n# Different speed\n\u002Fhome\u002Fspark\u002Fgit\u002Fautonomous-intelligence\u002Frealtime-api\u002Fscripts\u002Fspeak.sh -s 140 \"Speaking faster now.\"\n```\n\n## Notes\n\n- Uses the Magpie TTS container from the realtime-api docker-compose stack (localhost:9000)\n- No Python dependencies — just curl and aplay\n- Audio plays through PipeWire\u002FALSA\n- Keep messages concise (1-2 sentences) for task summaries\n",{"name":5,"triggers":31,"description":7},[5,32,33,34,35],"say","tell me","read aloud","announce","main","7f34d35030f36ee7a62c7fbab25446956053e524","realtime-api\u002F.agent\u002Fskills\u002Fspeak",15,"https:\u002F\u002Fgithub.com\u002FOriNachum\u002Fautonomous-intelligence","https:\u002F\u002Fgithub.com\u002FOriNachum","AI Expert, Tipalti, a Jetson AI Lab community leader, AWS Community Builder, A maintainer of dusty-nv\u002Fjetson-containers, Culture.dev and other OSS","2026-04-09 06:55:00",{"source":8,"skillName":5,"commands":45,"prompt":55,"zipAvailable":56},[46,49,52],{"tool":47,"command":48},"npx","npx skills add OriNachum\u002Fautonomous-intelligence --skill speak",{"tool":50,"command":51},"bunx","bunx skills add OriNachum\u002Fautonomous-intelligence --skill speak",{"tool":53,"command":54},"pnpm","pnpm dlx skills add OriNachum\u002Fautonomous-intelligence --skill speak","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FOriNachum\u002Fautonomous-intelligence\u002Fblob\u002Fmain\u002Frealtime-api\u002F.agent\u002Fskills\u002Fspeak\u002FSKILL.md",true,[],[59,78,96,125,138,145],{"skillNo":60,"name":61,"nameZh":6,"description":62,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":63,"categories":64,"keywords":70,"publishedAt":26},"01M6BXM48KCJWY2Z99GK4YHQZZ","test","Run TTS round-trip tests — pure-logic unit tests and optional integration tests against live TTS\u002FSTT services.","https:\u002F\u002Fgithub.com\u002FOriNachum\u002Fautonomous-intelligence\u002Fblob\u002Fmain\u002Frealtime-api\u002F.agent\u002Fskills\u002Ftest\u002FSKILL.md",[65],{"categoryNo":66,"categoryName":67,"taxonomyType":68,"taxonomyTypeDesc":69},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",[61,23,71,72,73,74,75,76,77],"services","verify","integration tests","unit tests","run tests","run","integration",{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":92,"publishedAt":26},"01M6BXM0RKDRNRQ3Y76040A4ZH","deploy","Build and deploy the realtime-api Docker container with full verification that deployed code matches local source.","https:\u002F\u002Fgithub.com\u002FOriNachum\u002Fautonomous-intelligence\u002Fblob\u002Fmain\u002Frealtime-api\u002F.agent\u002Fskills\u002Fdeploy\u002FSKILL.md",[84,87],{"categoryNo":85,"categoryName":86,"taxonomyType":68,"taxonomyTypeDesc":69},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":88,"categoryName":89,"taxonomyType":90,"taxonomyTypeDesc":91},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[80,19,20,93,94,22,95],"code","verification","ship",{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":106,"publishedAt":26},"01M6BXKXCQQM74B1TK7YH87Y2E","memory","Unified memory management for notes, knowledge graph, RAG search, and file analysis. 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