[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KFYV43D9DFNSKM4TN4HTV0":3,"skill-same:01M6KFYV43D9DFNSKM4TN4HTV0":50},{"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":23,"linkOnly":24,"markdownContent":25,"markdownBody":26,"frontMatter":27,"refName":28,"commitSha":29,"skillDirectory":30,"forksCount":31,"repositoryHtmlUrl":32,"repositoryHomepageUrl":33,"ownerHtmlUrl":34,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":35,"install":36,"resources":49},"01M6KFYV43D9DFNSKM4TN4HTV0","run2_classical-poetry-mastery",null,"Detailed rules for seven-character regulated verse (七言律诗), including the \"Sticky\" (黏) and \"Opposing\" (对) rules.","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\u002Fb2-self-feedback-gemini-3-flash-preview\u002Fchinese-poem-generator\u002Frun2_classical-poetry-mastery\u002FSKILL.md",[],[18,19,20,21,22],"Poetry","run2 classical poetry mastery","Rules","character","for","2026-11-10 10:12:30",false,"---\nname: run2_classical-poetry-mastery\ndescription: Detailed rules for seven-character regulated verse (七言律诗), including the \"Sticky\" (黏) and \"Opposing\" (对) rules.\n---\n\n# Seven-Character Regulated Verse (七言律诗) Mastery\n\nA form of Classical Chinese poetry requiring 8 lines of 7 characters each.\n\n## 1. Structure\n- **Four Couplets (四联):**\n  - 首联 (Intro): Lines 1-2.\n  - 颔联 (Parallel): Lines 3-4. (Parallelism mandatory)\n  - 颈联 (Parallel): Lines 5-6. (Parallelism mandatory)\n  - 尾联 (Conclusion): Lines 7-8.\n\n## 2. Parallelism (对仗)\n- Part of speech matching (Noun-Noun, Verb-Verb).\n- Tonal opposition (Level-Oblique).\n- Semantic relationship (Contrast or Complement).\n\n## 3. Tone Patterns (平仄)\n- **Basic Rule:** The 2nd, 4th, and 6th characters must alternate between Level (平) and Oblique (仄).\n- **Sticky and Opposing Rules:**\n  - **对 (Opposing):** In a couplet (e.g., lines 1 and 2), the 2nd character's tone should be opposite.\n  - **黏 (Sticky):** Between couplets (e.g., lines 2 and 3), the 2nd character's tone should be the same.\n\n## 4. Tone Patterns (平起首句入韵)\n- 1: 平平仄仄仄平平 (Rhyme)\n- 2: 仄仄平平仄仄平 (Rhyme)\n- 3: 仄仄平平平仄仄\n- 4: 平平仄仄仄平平 (Rhyme)\n- 5: 平平仄仄平平仄\n- 6: 仄仄平平仄仄平 (Rhyme)\n- 7: 仄仄平平平仄仄\n- 8: 平平仄仄仄平平 (Rhyme)\n","# Seven-Character Regulated Verse (七言律诗) Mastery\n\nA form of Classical Chinese poetry requiring 8 lines of 7 characters each.\n\n## 1. Structure\n- **Four Couplets (四联):**\n  - 首联 (Intro): Lines 1-2.\n  - 颔联 (Parallel): Lines 3-4. (Parallelism mandatory)\n  - 颈联 (Parallel): Lines 5-6. (Parallelism mandatory)\n  - 尾联 (Conclusion): Lines 7-8.\n\n## 2. Parallelism (对仗)\n- Part of speech matching (Noun-Noun, Verb-Verb).\n- Tonal opposition (Level-Oblique).\n- Semantic relationship (Contrast or Complement).\n\n## 3. Tone Patterns (平仄)\n- **Basic Rule:** The 2nd, 4th, and 6th characters must alternate between Level (平) and Oblique (仄).\n- **Sticky and Opposing Rules:**\n  - **对 (Opposing):** In a couplet (e.g., lines 1 and 2), the 2nd character's tone should be opposite.\n  - **黏 (Sticky):** Between couplets (e.g., lines 2 and 3), the 2nd character's tone should be the same.\n\n## 4. Tone Patterns (平起首句入韵)\n- 1: 平平仄仄仄平平 (Rhyme)\n- 2: 仄仄平平仄仄平 (Rhyme)\n- 3: 仄仄平平平仄仄\n- 4: 平平仄仄仄平平 (Rhyme)\n- 5: 平平仄仄平平仄\n- 6: 仄仄平平仄仄平 (Rhyme)\n- 7: 仄仄平平平仄仄\n- 8: 平平仄仄仄平平 (Rhyme)\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb2-self-feedback-gemini-3-flash-preview\u002Fchinese-poem-generator\u002Frun2_classical-poetry-mastery",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":37,"prompt":47,"zipAvailable":48},[38,41,44],{"tool":39,"command":40},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill run2_classical-poetry-mastery",{"tool":42,"command":43},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill run2_classical-poetry-mastery",{"tool":45,"command":46},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill run2_classical-poetry-mastery","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-gemini-3-flash-preview\u002Fchinese-poem-generator\u002Frun2_classical-poetry-mastery\u002FSKILL.md",true,[],[51,69,93,111,131,143],{"skillNo":52,"name":53,"nameZh":6,"description":54,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":55,"categories":56,"keywords":62,"publishedAt":23},"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",[57],{"categoryNo":58,"categoryName":59,"taxonomyType":60,"taxonomyTypeDesc":61},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[63,64,65,66,67,68],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":73,"categories":74,"keywords":78,"publishedAt":23},"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",[75],{"categoryNo":76,"categoryName":77,"taxonomyType":60,"taxonomyTypeDesc":61},"01JBSEEDCAT000000000000023","Skill与智能体开发",[79,80,81,82,83,84,85,86,87,22,88,89,90,91,92],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","user","it","requirements","essential","itineraries",{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":23},"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",[],[100,101,102,103,104,105,106,82,107,108,83,109,22,110,80],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":117,"publishedAt":23},"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",[],[118,119,120,22,121,122,123,124,125,126,127,128,109,129,130],"glm output","output","glm","tasks","metrics","json","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":132,"name":133,"nameZh":6,"description":134,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":135,"categories":136,"keywords":138,"publishedAt":23},"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",[137],{"categoryNo":76,"categoryName":77,"taxonomyType":60,"taxonomyTypeDesc":61},[139,130,120,119,125,124,121,140,141,22,142],"glm calibration","setup","companion","metric",{"skillNo":144,"name":145,"nameZh":6,"description":146,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":149,"publishedAt":23},"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",[],[150,120,124,151,139,130,22,119,152,153,154,155,156,157,121],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]