[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KKAE52YC3SB3MPY2FVMAHJ":3,"skill-same:01M6KKAE52YC3SB3MPY2FVMAHJ":57},{"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":30,"linkOnly":31,"markdownContent":32,"markdownBody":33,"frontMatter":34,"refName":35,"commitSha":36,"skillDirectory":37,"forksCount":38,"repositoryHtmlUrl":39,"repositoryHomepageUrl":40,"ownerHtmlUrl":41,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":42,"install":43,"resources":56},"01M6KKAE52YC3SB3MPY2FVMAHJ","seven-char-regulated-verse",null,"Guidance on composing seven-character regulated verse (七言律诗). Use this skill whenever a task requires writing traditional Chinese poetry in the seven-character regulated style, ensuring adherence to structural, parallelism, and rhyming rules (using modern Mandarin pronunciation).","cxcscmu\u002FSkillLearnBench","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","01M6KCQDFQWPDSN0MKZY96MSQP","01M6KCQDM7G70TKJ28NTSQC0RZ",93,"MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb4-skill-creator-gemini-3-flash-preview\u002Fchinese-poem-generator\u002Fseven-char-regulated-verse\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29],"seven char regulated verse","writing","Rules","use","guidance","Poetry","character","chinese","pronunciation","task","structural","style","2026-11-10 10:12:30",false,"---\nname: seven-char-regulated-verse\ndescription: Guidance on composing seven-character regulated verse (七言律诗). Use this skill whenever a task requires writing traditional Chinese poetry in the seven-character regulated style, ensuring adherence to structural, parallelism, and rhyming rules (using modern Mandarin pronunciation).\n---\n\n# Seven-Character Regulated Verse (七言律诗)\n\nA guide for composing traditional Chinese poetry in the seven-character regulated verse format.\n\n## Core Structure\n- **Length**: Exactly 8 lines.\n- **Line Length**: Exactly 7 characters per line.\n- **Couplets**: The poem consists of 4 couplets:\n  1. **Shoulian (首联)**: Lines 1-2 (Head couplet) - Introduces the theme.\n  2. **Hanlian (颔联)**: Lines 3-4 (Jaw couplet) - Develops the theme; MUST be parallel (antithesis).\n  3. **Jinglian (颈联)**: Lines 5-6 (Neck couplet) - Transitions or deepens the theme; MUST be parallel (antithesis).\n  4. **Wei-lian (尾联)**: Lines 7-8 (Tail couplet) - Concludes the poem.\n\n## Rhyming (Modern Mandarin)\n- Rhyme typically occurs at the end of even-numbered lines (2, 4, 6, 8).\n- Line 1 may also rhyme (optional but common).\n- Use modern Mandarin pronunciation for rhyming.\n- All rhyming lines should share the same vowel sound (and often the same tone, usually level tone\u002F平声).\n\n## Parallelism (Dui-zhang 对仗)\n- Required for the middle two couplets (lines 3-4 and 5-6).\n- Nouns should match nouns, verbs match verbs, adjectives match adjectives.\n- Imagery should be balanced (e.g., \"mountain\" vs \"river\", \"old\" vs \"new\").\n\n## Tone Patterns (Ping-ze 平仄)\n- Traditionally, regulated verse follows strict tonal patterns (Level\u002FPing and Oblique\u002FZe).\n- While modern Mandarin tones (1, 2 = Level; 3, 4 = Oblique) can be used, prioritize the semantic flow and structural parallelism first unless strict classical adherence is requested.\n\n## Common Themes\n- Nature, parting, history, war, and personal reflection.\n- Use of classical imagery (e.g., autumn wind, lonely moon, frontier fortress).\n","# Seven-Character Regulated Verse (七言律诗)\n\nA guide for composing traditional Chinese poetry in the seven-character regulated verse format.\n\n## Core Structure\n- **Length**: Exactly 8 lines.\n- **Line Length**: Exactly 7 characters per line.\n- **Couplets**: The poem consists of 4 couplets:\n  1. **Shoulian (首联)**: Lines 1-2 (Head couplet) - Introduces the theme.\n  2. **Hanlian (颔联)**: Lines 3-4 (Jaw couplet) - Develops the theme; MUST be parallel (antithesis).\n  3. **Jinglian (颈联)**: Lines 5-6 (Neck couplet) - Transitions or deepens the theme; MUST be parallel (antithesis).\n  4. **Wei-lian (尾联)**: Lines 7-8 (Tail couplet) - Concludes the poem.\n\n## Rhyming (Modern Mandarin)\n- Rhyme typically occurs at the end of even-numbered lines (2, 4, 6, 8).\n- Line 1 may also rhyme (optional but common).\n- Use modern Mandarin pronunciation for rhyming.\n- All rhyming lines should share the same vowel sound (and often the same tone, usually level tone\u002F平声).\n\n## Parallelism (Dui-zhang 对仗)\n- Required for the middle two couplets (lines 3-4 and 5-6).\n- Nouns should match nouns, verbs match verbs, adjectives match adjectives.\n- Imagery should be balanced (e.g., \"mountain\" vs \"river\", \"old\" vs \"new\").\n\n## Tone Patterns (Ping-ze 平仄)\n- Traditionally, regulated verse follows strict tonal patterns (Level\u002FPing and Oblique\u002FZe).\n- While modern Mandarin tones (1, 2 = Level; 3, 4 = Oblique) can be used, prioritize the semantic flow and structural parallelism first unless strict classical adherence is requested.\n\n## Common Themes\n- Nature, parting, history, war, and personal reflection.\n- Use of classical imagery (e.g., autumn wind, lonely moon, frontier fortress).\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb4-skill-creator-gemini-3-flash-preview\u002Fchinese-poem-generator\u002Fseven-char-regulated-verse",8,"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":44,"prompt":54,"zipAvailable":55},[45,48,51],{"tool":46,"command":47},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill seven-char-regulated-verse",{"tool":49,"command":50},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill seven-char-regulated-verse",{"tool":52,"command":53},"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\u002Fb4-skill-creator-gemini-3-flash-preview\u002Fchinese-poem-generator\u002Fseven-char-regulated-verse\u002FSKILL.md",true,[],[58,76,101,119,138,150],{"skillNo":59,"name":60,"nameZh":6,"description":61,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":62,"categories":63,"keywords":69,"publishedAt":30},"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",[64],{"categoryNo":65,"categoryName":66,"taxonomyType":67,"taxonomyTypeDesc":68},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[70,71,72,73,74,75],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":85,"publishedAt":30},"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",[82],{"categoryNo":83,"categoryName":84,"taxonomyType":67,"taxonomyTypeDesc":68},"01JBSEEDCAT000000000000023","Skill与智能体开发",[86,87,88,89,90,91,92,93,94,95,96,97,98,99,100],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","for","user","it","requirements","essential","itineraries",{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":30},"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",[],[108,109,110,111,112,113,114,89,115,116,90,117,95,118,87],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":125,"publishedAt":30},"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",[],[126,127,128,95,129,130,131,132,22,133,134,135,117,136,137],"glm output","output","glm","tasks","metrics","json","basics","matching","verifier","processing","root","calibration",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":145,"publishedAt":30},"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",[144],{"categoryNo":83,"categoryName":84,"taxonomyType":67,"taxonomyTypeDesc":68},[146,137,128,127,22,132,129,147,148,95,149],"glm calibration","setup","companion","metric",{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":156,"publishedAt":30},"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",[],[157,128,132,158,146,137,95,127,159,160,161,21,162,163,129],"glm basics","inspect","relevant","files","good","how","Evaluation"]