[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71NPQ9DRT54QSQJ0BHBM3VG":3,"skill-same:01M71NPQ9DRT54QSQJ0BHBM3VG":76},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":54,"updatedAt":55,"install":56,"resources":69},"01M71NPQ9DRT54QSQJ0BHBM3VG","video-generation",null,"Use this skill when the user requests to generate, create, or imagine videos. Supports structured prompts and reference image for guided generation.","q2805187159\u002FAnvil","q2805187159","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F105276843?v=4","01M71KF4TN999VNJX9FY9QT06A","铁甲勇士宋小宝","01M71KF4V97XXQ7AGES97R4Q9F",3,"MIT","https:\u002F\u002Fgithub.com\u002Fq2805187159\u002FAnvil\u002Fblob\u002Fmain\u002Fskills\u002Fvideo-generation\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"Video","video generation","generation","for","use","when","image","create","imagine","requests","generate","videos","reference","prompts","user","structured","2026-11-10 10:56:23",false,"---\nname: video-generation\ndescription: Use this skill when the user requests to generate, create, or imagine videos. Supports structured prompts and reference image for guided generation.\n---\n\n# Video Generation Skill\n\n## Overview\n\nThis skill generates high-quality videos using structured prompts and a Python script. The workflow includes creating JSON-formatted prompts and executing video generation with optional reference image.\n\n## Core Capabilities\n\n- Create structured JSON prompts for AIGC video generation\n- Support reference image as guidance or the first\u002Flast frame of the video\n- Generate videos through automated Python script execution\n\n## Workflow\n\n### Step 1: Understand Requirements\n\nWhen a user requests video generation, identify:\n\n- Subject\u002Fcontent: What should be in the image\n- Style preferences: Art style, mood, color palette\n- Technical specs: Aspect ratio, composition, lighting\n- Reference image: Any image to guide generation\n- You don't need to check the folder under `\u002Fmnt\u002Fuser-data`\n\n### Step 2: Create Structured Prompt\n\nGenerate a structured JSON file in `\u002Fmnt\u002Fuser-data\u002Fworkspace\u002F` with naming pattern: `{descriptive-name}.json`\n\n### Step 3: Create Reference Image (Optional when image-generation skill is available)\n\nGenerate reference image for the video generation.\n\n- If only 1 image is provided, use it as the guided frame of the video\n\n### Step 3: Execute Generation\n\nCall the Python script:\n```bash\npython \u002Fmnt\u002Fskills\u002Fpublic\u002Fvideo-generation\u002Fscripts\u002Fgenerate.py \\\n  --prompt-file \u002Fmnt\u002Fuser-data\u002Fworkspace\u002Fprompt-file.json \\\n  --reference-images \u002Fpath\u002Fto\u002Fref1.jpg \\\n  --output-file \u002Fmnt\u002Fuser-data\u002Foutputs\u002Fgenerated-video.mp4 \\\n  --aspect-ratio 16:9\n```\n\nParameters:\n\n- `--prompt-file`: Absolute path to JSON prompt file (required)\n- `--reference-images`: Absolute paths to reference image (optional)\n- `--output-file`: Absolute path to output image file (required)\n- `--aspect-ratio`: Aspect ratio of the generated image (optional, default: 16:9)\n\n[!NOTE]\nDo NOT read the python file, instead just call it with the parameters.\n\n## Video Generation Example\n\nUser request: \"Generate a short video clip depicting the opening scene from \"The Chronicles of Narnia: The Lion, the Witch and the Wardrobe\"\n\nStep 1: Search for the opening scene of \"The Chronicles of Narnia: The Lion, the Witch and the Wardrobe\" online\n\nStep 2: Create a JSON prompt file with the following content:\n\n```json\n{\n  \"title\": \"The Chronicles of Narnia - Train Station Farewell\",\n  \"background\": {\n    \"description\": \"World War II evacuation scene at a crowded London train station. Steam and smoke fill the air as children are being sent to the countryside to escape the Blitz.\",\n    \"era\": \"1940s wartime Britain\",\n    \"location\": \"London railway station platform\"\n  },\n  \"characters\": [\"Mrs. Pevensie\", \"Lucy Pevensie\"],\n  \"camera\": {\n    \"type\": \"Close-up two-shot\",\n    \"movement\": \"Static with subtle handheld movement\",\n    \"angle\": \"Profile view, intimate framing\",\n    \"focus\": \"Both faces in focus, background soft bokeh\"\n  },\n  \"dialogue\": [\n    {\n      \"character\": \"Mrs. Pevensie\",\n      \"text\": \"You must be brave for me, darling. I'll come for you... I promise.\"\n    },\n    {\n      \"character\": \"Lucy Pevensie\",\n      \"text\": \"I will be, mother. I promise.\"\n    }\n  ],\n  \"audio\": [\n    {\n      \"type\": \"Train whistle blows (signaling departure)\",\n      \"volume\": 1\n    },\n    {\n      \"type\": \"Strings swell emotionally, then fade\",\n      \"volume\": 0.5\n    },\n    {\n      \"type\": \"Ambient sound of the train station\",\n      \"volume\": 0.5\n    }\n  ]\n}\n```\n\nStep 3: Use the image-generation skill to generate the reference image\n\nLoad the image-generation skill and generate a single reference image `narnia-farewell-scene-01.jpg` according to the skill.\n\nStep 4: Use the generate.py script to generate the video\n```bash\npython \u002Fmnt\u002Fskills\u002Fpublic\u002Fvideo-generation\u002Fscripts\u002Fgenerate.py \\\n  --prompt-file \u002Fmnt\u002Fuser-data\u002Fworkspace\u002Fnarnia-farewell-scene.json \\\n  --reference-images \u002Fmnt\u002Fuser-data\u002Foutputs\u002Fnarnia-farewell-scene-01.jpg \\\n  --output-file \u002Fmnt\u002Fuser-data\u002Foutputs\u002Fnarnia-farewell-scene-01.mp4 \\\n  --aspect-ratio 16:9\n```\n> Do NOT read the python file, just call it with the parameters.\n\n## Output Handling\n\nAfter generation:\n\n- Videos are typically saved in `\u002Fmnt\u002Fuser-data\u002Foutputs\u002F`\n- Share generated videos (come first) with user as well as generated image if applicable, using `present_files` tool\n- Provide brief description of the generation result\n- Offer to iterate if adjustments needed\n\n## Notes\n\n- Always use English for prompts regardless of user's language\n- JSON format ensures structured, parsable prompts\n- Reference image enhance generation quality significantly\n- Iterative refinement is normal for optimal results\n","# Video Generation Skill\n\n## Overview\n\nThis skill generates high-quality videos using structured prompts and a Python script. The workflow includes creating JSON-formatted prompts and executing video generation with optional reference image.\n\n## Core Capabilities\n\n- Create structured JSON prompts for AIGC video generation\n- Support reference image as guidance or the first\u002Flast frame of the video\n- Generate videos through automated Python script execution\n\n## Workflow\n\n### Step 1: Understand Requirements\n\nWhen a user requests video generation, identify:\n\n- Subject\u002Fcontent: What should be in the image\n- Style preferences: Art style, mood, color palette\n- Technical specs: Aspect ratio, composition, lighting\n- Reference image: Any image to guide generation\n- You don't need to check the folder under `\u002Fmnt\u002Fuser-data`\n\n### Step 2: Create Structured Prompt\n\nGenerate a structured JSON file in `\u002Fmnt\u002Fuser-data\u002Fworkspace\u002F` with naming pattern: `{descriptive-name}.json`\n\n### Step 3: Create Reference Image (Optional when image-generation skill is available)\n\nGenerate reference image for the video generation.\n\n- If only 1 image is provided, use it as the guided frame of the video\n\n### Step 3: Execute Generation\n\nCall the Python script:\n```bash\npython \u002Fmnt\u002Fskills\u002Fpublic\u002Fvideo-generation\u002Fscripts\u002Fgenerate.py \\\n  --prompt-file \u002Fmnt\u002Fuser-data\u002Fworkspace\u002Fprompt-file.json \\\n  --reference-images \u002Fpath\u002Fto\u002Fref1.jpg \\\n  --output-file \u002Fmnt\u002Fuser-data\u002Foutputs\u002Fgenerated-video.mp4 \\\n  --aspect-ratio 16:9\n```\n\nParameters:\n\n- `--prompt-file`: Absolute path to JSON prompt file (required)\n- `--reference-images`: Absolute paths to reference image (optional)\n- `--output-file`: Absolute path to output image file (required)\n- `--aspect-ratio`: Aspect ratio of the generated image (optional, default: 16:9)\n\n[!NOTE]\nDo NOT read the python file, instead just call it with the parameters.\n\n## Video Generation Example\n\nUser request: \"Generate a short video clip depicting the opening scene from \"The Chronicles of Narnia: The Lion, the Witch and the Wardrobe\"\n\nStep 1: Search for the opening scene of \"The Chronicles of Narnia: The Lion, the Witch and the Wardrobe\" online\n\nStep 2: Create a JSON prompt file with the following content:\n\n```json\n{\n  \"title\": \"The Chronicles of Narnia - Train Station Farewell\",\n  \"background\": {\n    \"description\": \"World War II evacuation scene at a crowded London train station. Steam and smoke fill the air as children are being sent to the countryside to escape the Blitz.\",\n    \"era\": \"1940s wartime Britain\",\n    \"location\": \"London railway station platform\"\n  },\n  \"characters\": [\"Mrs. Pevensie\", \"Lucy Pevensie\"],\n  \"camera\": {\n    \"type\": \"Close-up two-shot\",\n    \"movement\": \"Static with subtle handheld movement\",\n    \"angle\": \"Profile view, intimate framing\",\n    \"focus\": \"Both faces in focus, background soft bokeh\"\n  },\n  \"dialogue\": [\n    {\n      \"character\": \"Mrs. Pevensie\",\n      \"text\": \"You must be brave for me, darling. I'll come for you... I promise.\"\n    },\n    {\n      \"character\": \"Lucy Pevensie\",\n      \"text\": \"I will be, mother. I promise.\"\n    }\n  ],\n  \"audio\": [\n    {\n      \"type\": \"Train whistle blows (signaling departure)\",\n      \"volume\": 1\n    },\n    {\n      \"type\": \"Strings swell emotionally, then fade\",\n      \"volume\": 0.5\n    },\n    {\n      \"type\": \"Ambient sound of the train station\",\n      \"volume\": 0.5\n    }\n  ]\n}\n```\n\nStep 3: Use the image-generation skill to generate the reference image\n\nLoad the image-generation skill and generate a single reference image `narnia-farewell-scene-01.jpg` according to the skill.\n\nStep 4: Use the generate.py script to generate the video\n```bash\npython \u002Fmnt\u002Fskills\u002Fpublic\u002Fvideo-generation\u002Fscripts\u002Fgenerate.py \\\n  --prompt-file \u002Fmnt\u002Fuser-data\u002Fworkspace\u002Fnarnia-farewell-scene.json \\\n  --reference-images \u002Fmnt\u002Fuser-data\u002Foutputs\u002Fnarnia-farewell-scene-01.jpg \\\n  --output-file \u002Fmnt\u002Fuser-data\u002Foutputs\u002Fnarnia-farewell-scene-01.mp4 \\\n  --aspect-ratio 16:9\n```\n> Do NOT read the python file, just call it with the parameters.\n\n## Output Handling\n\nAfter generation:\n\n- Videos are typically saved in `\u002Fmnt\u002Fuser-data\u002Foutputs\u002F`\n- Share generated videos (come first) with user as well as generated image if applicable, using `present_files` tool\n- Provide brief description of the generation result\n- Offer to iterate if adjustments needed\n\n## Notes\n\n- Always use English for prompts regardless of user's language\n- JSON format ensures structured, parsable prompts\n- Reference image enhance generation quality significantly\n- Iterative refinement is normal for optimal results\n",{"name":5,"description":7},"main","6ffadc67c9777282fa1f9330ec12ac8778064409","skills\u002Fvideo-generation",0,"https:\u002F\u002Fgithub.com\u002Fq2805187159\u002FAnvil","https:\u002F\u002Fgithub.com\u002Fq2805187159","Independent Researcher\r\n\r\nEmail: q2805187159@gmail.com\r\n\r\nGithub: q2805187159\r\n\r\nResearch Interests:\r\n- LLM Agents\r\n- Tool Routing\r\n- RAG","2026-06-24 18:31:41",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add q2805187159\u002FAnvil --skill video-generation",{"tool":62,"command":63},"bunx","bunx skills add q2805187159\u002FAnvil --skill video-generation",{"tool":65,"command":66},"pnpm","pnpm dlx skills add q2805187159\u002FAnvil --skill video-generation","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fq2805187159\u002FAnvil\u002Fblob\u002Fmain\u002Fskills\u002Fvideo-generation\u002FSKILL.md",true,[70],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"scripts\u002Fgenerate.py","SCRIPT","脚本",3225,"https:\u002F\u002Fgithub.com\u002Fq2805187159\u002FAnvil\u002Fblob\u002Fmain\u002Fskills\u002Fvideo-generation\u002Fscripts\u002Fgenerate.py",[77,108,139,146,169,190],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":81,"licenseFileUrl":82,"sourceHtmlUrl":83,"categories":84,"keywords":91,"publishedAt":43},"01M71NPWVVMB1AZ8XGKNJFT0YP","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fq2805187159\u002FAnvil\u002Fblob\u002Fmain\u002Fskills\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fq2805187159\u002FAnvil\u002Fblob\u002Fmain\u002Fskills\u002Fwebapp-testing\u002FSKILL.md",[85,88],{"categoryNo":86,"categoryName":87,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":89,"categoryName":90,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[92,93,94,30,95,96,97,98,99,100,101,102,103,104,105,106,107],"webapp","testing","webapp testing","applications","local","frontend","debugging","toolkit","logs","browser","with","playwright","web","behavior","ui","screenshots",{"skillNo":109,"name":110,"nameZh":6,"description":111,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":112,"categories":113,"keywords":122,"publishedAt":43},"01M71NPTQ96H4XSZVZT422BNRB","web-design-guidelines","Review UI code for Web Interface Guidelines compliance. Use when asked to \"review my UI\", \"check accessibility\", \"audit design\", \"review UX\", or \"check my site against best practices\".","https:\u002F\u002Fgithub.com\u002Fq2805187159\u002FAnvil\u002Fblob\u002Fmain\u002Fskills\u002Fweb-design-guidelines\u002FSKILL.md",[114,117],{"categoryNo":115,"categoryName":116,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":118,"categoryName":119,"taxonomyType":120,"taxonomyTypeDesc":121},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[123,124,104,125,126,30,127,128,129,31,32,130,131,132,133,134,135,136,137,138],"guidelines","design","web design guidelines","web design","vercel","interface","web interface guidelines","best practices","file","code","review","check","compliance","audit","ux","accessibility",{"skillNo":140,"name":110,"nameZh":6,"description":111,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":145,"publishedAt":43},"01M71NPS2D31Y2BGFYA9DB7CE4","https:\u002F\u002Fgithub.com\u002Fq2805187159\u002FAnvil\u002Fblob\u002Fmain\u002Fskills\u002Fweb-design-guidelines copy\u002FSKILL.md",[143,144],{"categoryNo":115,"categoryName":116,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":118,"categoryName":119,"taxonomyType":120,"taxonomyTypeDesc":121},[123,124,104,125,126,30,127,128,129,31,32,130,131,132,133,134,135,136,137,138],{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":153,"publishedAt":43},"01M71NPN57CT154SWXAS52475X","youtube-downloader","Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.","https:\u002F\u002Fgithub.com\u002Fq2805187159\u002FAnvil\u002Fblob\u002Fmain\u002Fskills\u002Fvideo-downloader\u002FSKILL.md",[152],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[154,155,156,157,158,159,160,31,32,161,102,162,163,164,165,166,38,167,41,168],"youtube","youtube downloader","mp4","as","downloads","Audio","only","mp3","options","quality","format","settings","grab","formats","download",{"skillNo":170,"name":171,"nameZh":6,"description":172,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":173,"categories":174,"keywords":175,"publishedAt":43},"01M71NPKD95YB8N3J6J78QGFFW","verification-before-completion","Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always","https:\u002F\u002Fgithub.com\u002Fq2805187159\u002FAnvil\u002Fblob\u002Fmain\u002Fskills\u002Fverification-before-completion\u002FSKILL.md",[],[176,177,178,179,180,181,182,31,183,32,184,185,186,187,188,189],"verification","verification before completion","running","evidence","complete","prs","claim","assertions","committing","output","claims","work","about","commands",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":194,"categories":195,"keywords":199,"publishedAt":43},"01M71NPH7A588X9MSPFYFF8ZVA","vercel-deploy","Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as \"Deploy my app\", \"Deploy this to production\", \"Create a preview deployment\", \"Deploy and give me the link\", or \"Push this live\". No authentication required - returns preview URL and claimable deployment link.","https:\u002F\u002Fgithub.com\u002Fq2805187159\u002FAnvil\u002Fblob\u002Fmain\u002Fskills\u002Fvercel-deploy-claimable\u002FSKILL.md",[196],{"categoryNo":197,"categoryName":198,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署",[127,200,201,202,157,203,204,205,206,207,95,31,32,208,209,34,210,36,211,212],"vercel deploy","deploy","app","push","preview url","deployment","actions","authentication","URL","preview","me","link","Production"]