[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KDHRHNZC6QMKAJS6THPDMW":3,"skill-same:01M6KDHRHNZC6QMKAJS6THPDMW":53},{"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":26,"linkOnly":27,"markdownContent":28,"markdownBody":29,"frontMatter":30,"refName":31,"commitSha":32,"skillDirectory":33,"forksCount":34,"repositoryHtmlUrl":35,"repositoryHomepageUrl":36,"ownerHtmlUrl":37,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":38,"install":39,"resources":52},"01M6KDHRHNZC6QMKAJS6THPDMW","chinese-rhyme-modern",null,"Modern Mandarin rhyme groups for classical Chinese poetry composition, mapping finals to rhyme categories.","cxcscmu\u002FSkillLearnBench","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","01M6KCQDFQWPDSN0MKZY96MSQP","01M6KCQDM7G70TKJ28NTSQC0RZ",92,"MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb1-one-shot-claude-opus-4-6\u002Fchinese-poem-generator\u002Fchinese-rhyme-modern\u002FSKILL.md",[],[18,19,20,21,22,23,24,25],"chinese","rhyme","chinese rhyme modern","Composition","Poetry","mapping","categories","for","2026-11-10 10:12:30",false,"---\nname: chinese-rhyme-modern\ndescription: Modern Mandarin rhyme groups for classical Chinese poetry composition, mapping finals to rhyme categories.\n---\n\n# Modern Mandarin Rhyme Groups for Poetry (中华新韵)\n\n## Overview\nWhen composing classical-style Chinese poetry using modern Mandarin pronunciation (普通话), the rhyming is based on the vowel finals (韵母) of Pinyin.\n\n## Common Rhyme Groups (韵部)\n\n### 1. 麻花韵 (a, ia, ua)\nExamples: 家(jiā), 花(huā), 沙(shā), 下(xià), 华(huá)\n\n### 2. 波歌韵 (o, e, uo)\nExamples: 歌(gē), 河(hé), 多(duō), 国(guó)\n\n### 3. 皆来韵 (ai, uai)\nExamples: 来(lái), 开(kāi), 台(tái), 怀(huái)\n\n### 4. 开微韵 (ei, ui\u002Fuei)\nExamples: 飞(fēi), 归(guī), 回(huí), 催(cuī)\n\n### 5. 姑苏韵 (u)\nExamples: 书(shū), 湖(hú), 路(lù), 图(tú)\n\n### 6. 鱼居韵 (ü)\nExamples: 鱼(yú), 居(jū), 去(qù)\n\n### 7. 豪遥韵 (ao, iao)\nExamples: 高(gāo), 朝(cháo), 遥(yáo), 桥(qiáo)\n\n### 8. 侯求韵 (ou, iu\u002Fiou)\nExamples: 楼(lóu), 秋(qiū), 流(liú), 州(zhōu)\n\n### 9. 寒山韵 (an, ian, uan, üan)\nExamples: 山(shān), 年(nián), 关(guān), 圆(yuán), 天(tiān), 间(jiān)\n\n### 10. 痕辰韵 (en, in, un, ün)\nExamples: 人(rén), 春(chūn), 门(mén), 新(xīn)\n\n### 11. 唐阳韵 (ang, iang, uang)\nExamples: 光(guāng), 乡(xiāng), 长(cháng), 黄(huáng)\n\n### 12. 庚青韵 (eng, ing, ong, iong)\nExamples: 声(shēng), 明(míng), 风(fēng), 中(zhōng)\n\n## Key Rules\n- All rhyming characters in a poem must belong to the **same rhyme group**.\n- For regulated verse, rhyming characters should be in **平声 (1st or 2nd tone)**.\n- Modern Mandarin has no 入声 (entering tone), so all characters are classified as 平 or 仄 based on their modern tones.\n","# Modern Mandarin Rhyme Groups for Poetry (中华新韵)\n\n## Overview\nWhen composing classical-style Chinese poetry using modern Mandarin pronunciation (普通话), the rhyming is based on the vowel finals (韵母) of Pinyin.\n\n## Common Rhyme Groups (韵部)\n\n### 1. 麻花韵 (a, ia, ua)\nExamples: 家(jiā), 花(huā), 沙(shā), 下(xià), 华(huá)\n\n### 2. 波歌韵 (o, e, uo)\nExamples: 歌(gē), 河(hé), 多(duō), 国(guó)\n\n### 3. 皆来韵 (ai, uai)\nExamples: 来(lái), 开(kāi), 台(tái), 怀(huái)\n\n### 4. 开微韵 (ei, ui\u002Fuei)\nExamples: 飞(fēi), 归(guī), 回(huí), 催(cuī)\n\n### 5. 姑苏韵 (u)\nExamples: 书(shū), 湖(hú), 路(lù), 图(tú)\n\n### 6. 鱼居韵 (ü)\nExamples: 鱼(yú), 居(jū), 去(qù)\n\n### 7. 豪遥韵 (ao, iao)\nExamples: 高(gāo), 朝(cháo), 遥(yáo), 桥(qiáo)\n\n### 8. 侯求韵 (ou, iu\u002Fiou)\nExamples: 楼(lóu), 秋(qiū), 流(liú), 州(zhōu)\n\n### 9. 寒山韵 (an, ian, uan, üan)\nExamples: 山(shān), 年(nián), 关(guān), 圆(yuán), 天(tiān), 间(jiān)\n\n### 10. 痕辰韵 (en, in, un, ün)\nExamples: 人(rén), 春(chūn), 门(mén), 新(xīn)\n\n### 11. 唐阳韵 (ang, iang, uang)\nExamples: 光(guāng), 乡(xiāng), 长(cháng), 黄(huáng)\n\n### 12. 庚青韵 (eng, ing, ong, iong)\nExamples: 声(shēng), 明(míng), 风(fēng), 中(zhōng)\n\n## Key Rules\n- All rhyming characters in a poem must belong to the **same rhyme group**.\n- For regulated verse, rhyming characters should be in **平声 (1st or 2nd tone)**.\n- Modern Mandarin has no 入声 (entering tone), so all characters are classified as 平 or 仄 based on their modern tones.\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb1-one-shot-claude-opus-4-6\u002Fchinese-poem-generator\u002Fchinese-rhyme-modern",7,"https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench","https:\u002F\u002Fcxcscmu.github.io\u002FSkillLearnBench","https:\u002F\u002Fgithub.com\u002Fcxcscmu","2026-10-02 22:55:36",{"source":8,"skillName":5,"commands":40,"prompt":50,"zipAvailable":51},[41,44,47],{"tool":42,"command":43},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill chinese-rhyme-modern",{"tool":45,"command":46},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill chinese-rhyme-modern",{"tool":48,"command":49},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill chinese-rhyme-modern","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb1-one-shot-claude-opus-4-6\u002Fchinese-poem-generator\u002Fchinese-rhyme-modern\u002FSKILL.md",true,[],[54,72,96,114,134,146],{"skillNo":55,"name":56,"nameZh":6,"description":57,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":58,"categories":59,"keywords":65,"publishedAt":26},"01M6KM5KH175P5ABP5JMX2SBDQ","object_counter","Count occurrences of an object in the image using computer vision algorithm.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fvideo-object-counting\u002Fobject_counter\u002FSKILL.md",[60],{"categoryNo":61,"categoryName":62,"taxonomyType":63,"taxonomyTypeDesc":64},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[66,67,68,69,70,71],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":81,"publishedAt":26},"01M6KM51TMVXG79MMPCS6Y8G86","travel-planning-workflow","Invoke this skill when performing travel planning. It defines a structured workflow for generating itineraries. Following this workflow is essential to ensure the final plan satisfies user requirements.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Ftravel-planning-workflow\u002FSKILL.md",[78],{"categoryNo":79,"categoryName":80,"taxonomyType":63,"taxonomyTypeDesc":64},"01JBSEEDCAT000000000000023","Skill与智能体开发",[82,83,84,85,86,87,88,89,90,25,91,92,93,94,95],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","user","it","requirements","essential","itineraries",{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":102,"publishedAt":26},"01M6KM4DY820XHS9YTSK5QP5HD","bundled-dataset-search-tool","invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Fbundled-dataset-search-tool\u002FSKILL.md",[],[103,104,105,106,107,108,109,85,110,111,86,112,25,113,83],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":120,"publishedAt":26},"01M6KM465BB9PQ0B548HQSVAWZ","glm-output","Output-processing guidance for GLM tasks. Especially useful after glm-basics and glm-calibration when you need verifier-matching metrics from output.nc and a final \u002Froot\u002Fmetrics.json.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-output\u002FSKILL.md",[],[121,122,123,25,124,125,126,127,128,129,130,131,112,132,133],"glm output","output","glm","tasks","metrics","json","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":135,"name":136,"nameZh":6,"description":137,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":138,"categories":139,"keywords":141,"publishedAt":26},"01M6KM40KY3QWDW5W97S39R2BC","glm-calibration","Calibration guidance for GLM tasks. Often most effective after glm-basics has clarified the setup; glm-output is the companion skill for exact final metric computation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-calibration\u002FSKILL.md",[140],{"categoryNo":79,"categoryName":80,"taxonomyType":63,"taxonomyTypeDesc":64},[142,133,123,122,128,127,124,143,144,25,145],"glm calibration","setup","companion","metric",{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":152,"publishedAt":26},"01M6KM3VHHVSGMGHJQB3PPT6YG","glm-basics","A good starting point for GLM calibration tasks. Use to inspect glm3.nml, confirm how GLM runs, and identify the relevant files before moving on to calibration and output evaluation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-basics\u002FSKILL.md",[],[153,123,127,154,142,133,25,122,155,156,157,158,159,160,124],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]