[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KDHX93DFJFK2T2X6SFW8AT":3,"skill-same:01M6KDHX93DFJFK2T2X6SFW8AT":52},{"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":25,"linkOnly":26,"markdownContent":27,"markdownBody":28,"frontMatter":29,"refName":30,"commitSha":31,"skillDirectory":32,"forksCount":33,"repositoryHtmlUrl":34,"repositoryHomepageUrl":35,"ownerHtmlUrl":36,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":37,"install":38,"resources":51},"01M6KDHX93DFJFK2T2X6SFW8AT","seven-char-regulated-verse",null,"Rules and structure of Chinese seven-character regulated verse (七言律诗), including tonal patterns, parallelism, and rhyme schemes.","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\u002Fseven-char-regulated-verse\u002FSKILL.md",[],[18,19,20,21,22,23,24],"seven char regulated verse","Rules","character","chinese","patterns","structure","rhyme","2026-11-10 10:12:30",false,"---\nname: seven-char-regulated-verse\ndescription: Rules and structure of Chinese seven-character regulated verse (七言律诗), including tonal patterns, parallelism, and rhyme schemes.\n---\n\n# Seven-Character Regulated Verse (七言律诗)\n\n## Overview\nThe seven-character regulated verse (七言律诗) is one of the most prestigious forms in classical Chinese poetry. It consists of 8 lines, each containing exactly 7 characters.\n\n## Structural Rules\n\n### 1. Line Count and Character Count\n- Exactly **8 lines** (八句)\n- Each line has exactly **7 characters** (七言)\n\n### 2. Rhyme Scheme (押韵)\n- Lines **2, 4, 6, 8** must rhyme (韵脚) — these are the even-numbered lines.\n- Line **1** may optionally rhyme as well (首句入韵).\n- The rhyme is based on the final character of each line.\n- All rhyming characters must share the same rhyme group (韵部).\n- Traditionally uses 平声韵 (level tone rhyme).\n\n### 3. Tonal Patterns (平仄格律)\nThe four tones of modern Mandarin:\n- **平声 (level tone)**: 1st tone (阴平) and 2nd tone (阳平)\n- **仄声 (oblique tone)**: 3rd tone (上声) and 4th tone (去声)\n\nCommon tonal pattern (仄起平收, first line rhyming):\n```\n仄仄平平仄仄平 (line 1, rhymes)\n平平仄仄仄平平 (line 2, rhymes)\n平平仄仄平平仄 (line 3)\n仄仄平平仄仄平 (line 4, rhymes)\n仄仄平平平仄仄 (line 5)\n平平仄仄仄平平 (line 6, rhymes)\n平平仄仄平平仄 (line 7)\n仄仄平平仄仄平 (line 8, rhymes)\n```\n\nKey rule: \"一三五不论，二四六分明\" — positions 1, 3, 5 are flexible; positions 2, 4, 6 must follow the pattern strictly.\n\n### 4. Parallelism (对仗)\n- The **middle two couplets** (lines 3-4, lines 5-6) must use parallelism.\n- Parallelism means: matching parts of speech, matching semantic categories, and contrasting tones.\n- The first couplet (lines 1-2) and last couplet (lines 7-8) do not require parallelism.\n\n### 5. Structure by Couplet\n- **首联 (Opening couplet, lines 1-2)**: Introduces the theme, sets the scene.\n- **颔联 (Chin couplet, lines 3-4)**: Develops the theme; requires parallelism.\n- **颈联 (Neck couplet, lines 5-6)**: Deepens or turns the theme; requires parallelism.\n- **尾联 (Closing couplet, lines 7-8)**: Concludes, expresses emotion or aspiration.\n\n## Example: Du Fu's \"登高\"\n```\n风急天高猿啸哀，\n渚清沙白鸟飞回。\n无边落木萧萧下，\n不尽长江滚滚来。\n万里悲秋常作客，\n百年多病独登台。\n艰难苦恨繁霜鬓，\n潦倒新停浊酒杯。\n```\n","# Seven-Character Regulated Verse (七言律诗)\n\n## Overview\nThe seven-character regulated verse (七言律诗) is one of the most prestigious forms in classical Chinese poetry. It consists of 8 lines, each containing exactly 7 characters.\n\n## Structural Rules\n\n### 1. Line Count and Character Count\n- Exactly **8 lines** (八句)\n- Each line has exactly **7 characters** (七言)\n\n### 2. Rhyme Scheme (押韵)\n- Lines **2, 4, 6, 8** must rhyme (韵脚) — these are the even-numbered lines.\n- Line **1** may optionally rhyme as well (首句入韵).\n- The rhyme is based on the final character of each line.\n- All rhyming characters must share the same rhyme group (韵部).\n- Traditionally uses 平声韵 (level tone rhyme).\n\n### 3. Tonal Patterns (平仄格律)\nThe four tones of modern Mandarin:\n- **平声 (level tone)**: 1st tone (阴平) and 2nd tone (阳平)\n- **仄声 (oblique tone)**: 3rd tone (上声) and 4th tone (去声)\n\nCommon tonal pattern (仄起平收, first line rhyming):\n```\n仄仄平平仄仄平 (line 1, rhymes)\n平平仄仄仄平平 (line 2, rhymes)\n平平仄仄平平仄 (line 3)\n仄仄平平仄仄平 (line 4, rhymes)\n仄仄平平平仄仄 (line 5)\n平平仄仄仄平平 (line 6, rhymes)\n平平仄仄平平仄 (line 7)\n仄仄平平仄仄平 (line 8, rhymes)\n```\n\nKey rule: \"一三五不论，二四六分明\" — positions 1, 3, 5 are flexible; positions 2, 4, 6 must follow the pattern strictly.\n\n### 4. Parallelism (对仗)\n- The **middle two couplets** (lines 3-4, lines 5-6) must use parallelism.\n- Parallelism means: matching parts of speech, matching semantic categories, and contrasting tones.\n- The first couplet (lines 1-2) and last couplet (lines 7-8) do not require parallelism.\n\n### 5. Structure by Couplet\n- **首联 (Opening couplet, lines 1-2)**: Introduces the theme, sets the scene.\n- **颔联 (Chin couplet, lines 3-4)**: Develops the theme; requires parallelism.\n- **颈联 (Neck couplet, lines 5-6)**: Deepens or turns the theme; requires parallelism.\n- **尾联 (Closing couplet, lines 7-8)**: Concludes, expresses emotion or aspiration.\n\n## Example: Du Fu's \"登高\"\n```\n风急天高猿啸哀，\n渚清沙白鸟飞回。\n无边落木萧萧下，\n不尽长江滚滚来。\n万里悲秋常作客，\n百年多病独登台。\n艰难苦恨繁霜鬓，\n潦倒新停浊酒杯。\n```\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb1-one-shot-claude-opus-4-6\u002Fchinese-poem-generator\u002Fseven-char-regulated-verse",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":39,"prompt":49,"zipAvailable":50},[40,43,46],{"tool":41,"command":42},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill seven-char-regulated-verse",{"tool":44,"command":45},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill seven-char-regulated-verse",{"tool":47,"command":48},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill seven-char-regulated-verse","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\u002Fseven-char-regulated-verse\u002FSKILL.md",true,[],[53,71,96,114,134,146],{"skillNo":54,"name":55,"nameZh":6,"description":56,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":57,"categories":58,"keywords":64,"publishedAt":25},"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",[59],{"categoryNo":60,"categoryName":61,"taxonomyType":62,"taxonomyTypeDesc":63},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[65,66,67,68,69,70],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":80,"publishedAt":25},"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",[77],{"categoryNo":78,"categoryName":79,"taxonomyType":62,"taxonomyTypeDesc":63},"01JBSEEDCAT000000000000023","Skill与智能体开发",[81,82,83,84,85,86,87,88,89,90,91,92,93,94,95],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","for","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":25},"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",[],[103,104,105,106,107,108,109,84,110,111,85,112,90,113,82],"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":25},"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",[],[121,122,123,90,124,125,126,127,128,129,130,131,112,132,133],"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":25},"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":78,"categoryName":79,"taxonomyType":62,"taxonomyTypeDesc":63},[142,133,123,122,128,127,124,143,144,90,145],"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":25},"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",[],[153,123,127,154,142,133,90,122,155,156,157,158,159,160,124],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]