[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KFEF3YT071CYWRKCPCZADG":3,"skill-same:01M6KFEF3YT071CYWRKCPCZADG":59},{"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":22,"publishedAt":32,"linkOnly":33,"markdownContent":34,"markdownBody":35,"frontMatter":36,"refName":37,"commitSha":38,"skillDirectory":39,"forksCount":40,"repositoryHtmlUrl":41,"repositoryHomepageUrl":42,"ownerHtmlUrl":43,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":44,"install":45,"resources":58},"01M6KFEF3YT071CYWRKCPCZADG","run2_pillow-technical-poster",null,"Pillow techniques for technical posters including 3D layers, annotations, and balanced layouts.","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-claude-opus-4-6\u002Fanthropic-poster-design\u002Frun2_pillow-technical-poster\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31],"technical","poster","pillow","run2 pillow technical poster","3D","annotations","layers","techniques","for","2026-11-10 10:12:30",false,"---\nname: run2_pillow-technical-poster\ndescription: Pillow techniques for technical posters including 3D layers, annotations, and balanced layouts.\n---\n\n# Pillow Technical Poster — Improved Patterns\n\n## Layout Balance Strategy\n**Problem**: Content clustered at top with empty space below.\n**Solution**: Calculate total content height and center vertically, or use full vertical space.\n\n```python\ntotal_content_h = sum(layer_heights) + (num_layers - 1) * gap\nstart_y = (canvas_h - total_content_h) \u002F\u002F 2  # Center vertically\n# Or: distribute layers to fill available space between header and footer\n```\n\n## Enhanced 3D Layer Rendering\n\n```python\ndef draw_layer_3d(draw, x, y, w, h, radius, fill, depth=10):\n    \"\"\"3D effect: shadow → side → face.\"\"\"\n    # 1. Drop shadow (soft, offset)\n    draw.rounded_rectangle(\n        [x+5, y+depth, x+w+5, y+h+depth],\n        radius=radius, fill='#D5D3C9'\n    )\n    # 2. Side edge (darker variant of fill)\n    draw.rounded_rectangle(\n        [x+2, y+3, x+w+2, y+h+3],\n        radius=radius, fill=darken(fill, 0.85)\n    )\n    # 3. Top face\n    draw.rounded_rectangle(\n        [x, y, x+w, y+h],\n        radius=radius, fill=fill\n    )\n```\n\n## Annotation Leader Lines — Best Practice\n- Start with a small circle (4px radius) at component edge\n- Horizontal line in muted gray, width=1\n- Consistent right-margin alignment for all labels\n- Label: bold font, description: regular font below\n\n## Vertical Assembly Axis\n- Dashed line to the left of all layers\n- Arrow tips at top and bottom\n- Indicates assembly\u002Fdisassembly direction\n- Use segments of 10px line + 10px gap\n\n## Professional Metadata Footer\n- Thin separator line\n- Company name, document title, classification\n- Revision number, view type, distribution notice\n- Scale reference bar with tick marks\n","# Pillow Technical Poster — Improved Patterns\n\n## Layout Balance Strategy\n**Problem**: Content clustered at top with empty space below.\n**Solution**: Calculate total content height and center vertically, or use full vertical space.\n\n```python\ntotal_content_h = sum(layer_heights) + (num_layers - 1) * gap\nstart_y = (canvas_h - total_content_h) \u002F\u002F 2  # Center vertically\n# Or: distribute layers to fill available space between header and footer\n```\n\n## Enhanced 3D Layer Rendering\n\n```python\ndef draw_layer_3d(draw, x, y, w, h, radius, fill, depth=10):\n    \"\"\"3D effect: shadow → side → face.\"\"\"\n    # 1. Drop shadow (soft, offset)\n    draw.rounded_rectangle(\n        [x+5, y+depth, x+w+5, y+h+depth],\n        radius=radius, fill='#D5D3C9'\n    )\n    # 2. Side edge (darker variant of fill)\n    draw.rounded_rectangle(\n        [x+2, y+3, x+w+2, y+h+3],\n        radius=radius, fill=darken(fill, 0.85)\n    )\n    # 3. Top face\n    draw.rounded_rectangle(\n        [x, y, x+w, y+h],\n        radius=radius, fill=fill\n    )\n```\n\n## Annotation Leader Lines — Best Practice\n- Start with a small circle (4px radius) at component edge\n- Horizontal line in muted gray, width=1\n- Consistent right-margin alignment for all labels\n- Label: bold font, description: regular font below\n\n## Vertical Assembly Axis\n- Dashed line to the left of all layers\n- Arrow tips at top and bottom\n- Indicates assembly\u002Fdisassembly direction\n- Use segments of 10px line + 10px gap\n\n## Professional Metadata Footer\n- Thin separator line\n- Company name, document title, classification\n- Revision number, view type, distribution notice\n- Scale reference bar with tick marks\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb2-self-feedback-claude-opus-4-6\u002Fanthropic-poster-design\u002Frun2_pillow-technical-poster",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":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill run2_pillow-technical-poster",{"tool":51,"command":52},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill run2_pillow-technical-poster",{"tool":54,"command":55},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill run2_pillow-technical-poster","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-claude-opus-4-6\u002Fanthropic-poster-design\u002Frun2_pillow-technical-poster\u002FSKILL.md",true,[],[60,76,100,118,138,150],{"skillNo":61,"name":62,"nameZh":6,"description":63,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":64,"categories":65,"keywords":69,"publishedAt":32},"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",[66],{"categoryNo":67,"categoryName":68,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",[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":32},"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":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[86,87,88,89,90,91,92,93,94,31,95,96,97,98,99],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","user","it","requirements","essential","itineraries",{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":106,"publishedAt":32},"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",[],[107,108,109,110,111,112,113,89,114,115,90,116,31,117,87],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":32},"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",[],[125,126,127,31,128,129,130,131,132,133,134,135,116,136,137],"glm output","output","glm","tasks","metrics","json","basics","guidance","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":32},"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":20,"taxonomyTypeDesc":21},[146,137,127,126,132,131,128,147,148,31,149],"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":32},"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",[],[157,127,131,158,146,137,31,126,159,160,161,162,163,164,128],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]