[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71TGADKSG10VRJ6644GYAMB":3,"skill-same:01M71TGADKSG10VRJ6644GYAMB":73},{"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":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":14,"repositoryHtmlUrl":56,"repositoryHomepageUrl":6,"ownerHtmlUrl":57,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":58,"install":59,"resources":72},"01M71TGADKSG10VRJ6644GYAMB","transloadit-media-processing",null,"Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS\u002FMP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.","TorchiaHub\u002FSkills","TorchiaHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F125223386?v=4","01M71Q3SNKHMKJYN4HGMSQ2CEY","Mattia Torchia","01M71Q3SP6T1Z9NBADBCFP7GM5",0,"MIT","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T123413Z\u002Fsource\u002Fskills\u002Ftransloadit-media-processing\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",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"transloadit","processing","transloadit media processing","Media","media processing","Audio","when","mcp-server","free","thumbnails","files","images","MCP","Video","ocr","pipeline","server","documents","mcp server","cli","2026-11-10 13:02:02",false,"---\nname: transloadit-media-processing\ndescription: 'Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS\u002FMP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.'\nlicense: MIT\ncompatibility: Requires a free Transloadit account (https:\u002F\u002Ftransloadit.com\u002Fsignup). Uses the @transloadit\u002Fmcp-server MCP server or the @transloadit\u002Fnode CLI.\n---\n\n# Transloadit Media Processing\n\nProcess, transform, and encode media files using Transloadit's cloud infrastructure.\nSupports video, audio, images, and documents with 86+ specialized processing robots.\n\n## When to Use This Skill\n\nUse this skill when you need to:\n\n- Encode video to HLS, MP4, WebM, or other formats\n- Generate thumbnails or animated GIFs from video\n- Resize, crop, watermark, or optimize images\n- Convert between image formats (JPEG, PNG, WebP, AVIF, HEIF)\n- Extract or transcode audio (MP3, AAC, FLAC, WAV)\n- Concatenate video or audio clips\n- Add subtitles or overlay text on video\n- OCR documents (PDF, scanned images)\n- Run speech-to-text or text-to-speech\n- Apply AI-based content moderation or object detection\n- Build multi-step media pipelines that chain operations together\n\n## Setup\n\n### Option A: MCP Server (recommended for Copilot)\n\nAdd the Transloadit MCP server to your IDE config. This gives the agent direct access\nto Transloadit tools (`create_template`, `create_assembly`, `list_assembly_notifications`, etc.).\n\n**VS Code \u002F GitHub Copilot** (`.vscode\u002Fmcp.json` or user settings):\n\n```json\n{\n  \"servers\": {\n    \"transloadit\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@transloadit\u002Fmcp-server\", \"stdio\"],\n      \"env\": {\n        \"TRANSLOADIT_KEY\": \"YOUR_AUTH_KEY\",\n        \"TRANSLOADIT_SECRET\": \"YOUR_AUTH_SECRET\"\n      }\n    }\n  }\n}\n```\n\nGet your API credentials at https:\u002F\u002Ftransloadit.com\u002Fc\u002F-\u002Fapi-credentials\n\n### Option B: CLI\n\nIf you prefer running commands directly:\n\n```bash\nnpx -y @transloadit\u002Fnode assemblies create \\\n  --steps '{\"encoded\": {\"robot\": \"\u002Fvideo\u002Fencode\", \"use\": \":original\", \"preset\": \"hls-1080p\"}}' \\\n  --wait \\\n  --input .\u002Fmy-video.mp4\n```\n\n## Core Workflows\n\n### Encode Video to HLS (Adaptive Streaming)\n\n```json\n{\n  \"steps\": {\n    \"encoded\": {\n      \"robot\": \"\u002Fvideo\u002Fencode\",\n      \"use\": \":original\",\n      \"preset\": \"hls-1080p\"\n    }\n  }\n}\n```\n\n### Generate Thumbnails from Video\n\n```json\n{\n  \"steps\": {\n    \"thumbnails\": {\n      \"robot\": \"\u002Fvideo\u002Fthumbs\",\n      \"use\": \":original\",\n      \"count\": 8,\n      \"width\": 320,\n      \"height\": 240\n    }\n  }\n}\n```\n\n### Resize and Watermark Images\n\n```json\n{\n  \"steps\": {\n    \"resized\": {\n      \"robot\": \"\u002Fimage\u002Fresize\",\n      \"use\": \":original\",\n      \"width\": 1200,\n      \"height\": 800,\n      \"resize_strategy\": \"fit\"\n    },\n    \"watermarked\": {\n      \"robot\": \"\u002Fimage\u002Fresize\",\n      \"use\": \"resized\",\n      \"watermark_url\": \"https:\u002F\u002Fexample.com\u002Flogo.png\",\n      \"watermark_position\": \"bottom-right\",\n      \"watermark_size\": \"15%\"\n    }\n  }\n}\n```\n\n### OCR a Document\n\n```json\n{\n  \"steps\": {\n    \"recognized\": {\n      \"robot\": \"\u002Fdocument\u002Focr\",\n      \"use\": \":original\",\n      \"provider\": \"aws\",\n      \"format\": \"text\"\n    }\n  }\n}\n```\n\n### Concatenate Audio Clips\n\n```json\n{\n  \"steps\": {\n    \"imported\": {\n      \"robot\": \"\u002Fhttp\u002Fimport\",\n      \"url\": [\"https:\u002F\u002Fexample.com\u002Fclip1.mp3\", \"https:\u002F\u002Fexample.com\u002Fclip2.mp3\"]\n    },\n    \"concatenated\": {\n      \"robot\": \"\u002Faudio\u002Fconcat\",\n      \"use\": \"imported\",\n      \"preset\": \"mp3\"\n    }\n  }\n}\n```\n\n## Multi-Step Pipelines\n\nSteps can be chained using the `\"use\"` field. Each step references a previous step's output:\n\n```json\n{\n  \"steps\": {\n    \"resized\": {\n      \"robot\": \"\u002Fimage\u002Fresize\",\n      \"use\": \":original\",\n      \"width\": 1920\n    },\n    \"optimized\": {\n      \"robot\": \"\u002Fimage\u002Foptimize\",\n      \"use\": \"resized\"\n    },\n    \"exported\": {\n      \"robot\": \"\u002Fs3\u002Fstore\",\n      \"use\": \"optimized\",\n      \"bucket\": \"my-bucket\",\n      \"path\": \"processed\u002F${file.name}\"\n    }\n  }\n}\n```\n\n## Key Concepts\n\n- **Assembly**: A single processing job. Created via `create_assembly` (MCP) or `assemblies create` (CLI).\n- **Template**: A reusable set of steps stored on Transloadit. Created via `create_template` (MCP) or `templates create` (CLI).\n- **Robot**: A processing unit (e.g., `\u002Fvideo\u002Fencode`, `\u002Fimage\u002Fresize`). See full list at https:\u002F\u002Ftransloadit.com\u002Fdocs\u002Ftranscoding\u002F\n- **Steps**: JSON object defining the pipeline. Each key is a step name, each value configures a robot.\n- **`:original`**: Refers to the uploaded input file.\n\n## Tips\n\n- Use `--wait` with the CLI to block until processing completes.\n- Use `preset` values (e.g., `\"hls-1080p\"`, `\"mp3\"`, `\"webp\"`) for common format targets instead of specifying every parameter.\n- Chain `\"use\": \"step_name\"` to build multi-step pipelines without intermediate downloads.\n- For batch processing, use `\u002Fhttp\u002Fimport` to pull files from URLs, S3, GCS, Azure, FTP, or Dropbox.\n- Templates can include `${variables}` for dynamic values passed at assembly creation time.\n","# Transloadit Media Processing\n\nProcess, transform, and encode media files using Transloadit's cloud infrastructure.\nSupports video, audio, images, and documents with 86+ specialized processing robots.\n\n## When to Use This Skill\n\nUse this skill when you need to:\n\n- Encode video to HLS, MP4, WebM, or other formats\n- Generate thumbnails or animated GIFs from video\n- Resize, crop, watermark, or optimize images\n- Convert between image formats (JPEG, PNG, WebP, AVIF, HEIF)\n- Extract or transcode audio (MP3, AAC, FLAC, WAV)\n- Concatenate video or audio clips\n- Add subtitles or overlay text on video\n- OCR documents (PDF, scanned images)\n- Run speech-to-text or text-to-speech\n- Apply AI-based content moderation or object detection\n- Build multi-step media pipelines that chain operations together\n\n## Setup\n\n### Option A: MCP Server (recommended for Copilot)\n\nAdd the Transloadit MCP server to your IDE config. This gives the agent direct access\nto Transloadit tools (`create_template`, `create_assembly`, `list_assembly_notifications`, etc.).\n\n**VS Code \u002F GitHub Copilot** (`.vscode\u002Fmcp.json` or user settings):\n\n```json\n{\n  \"servers\": {\n    \"transloadit\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@transloadit\u002Fmcp-server\", \"stdio\"],\n      \"env\": {\n        \"TRANSLOADIT_KEY\": \"YOUR_AUTH_KEY\",\n        \"TRANSLOADIT_SECRET\": \"YOUR_AUTH_SECRET\"\n      }\n    }\n  }\n}\n```\n\nGet your API credentials at https:\u002F\u002Ftransloadit.com\u002Fc\u002F-\u002Fapi-credentials\n\n### Option B: CLI\n\nIf you prefer running commands directly:\n\n```bash\nnpx -y @transloadit\u002Fnode assemblies create \\\n  --steps '{\"encoded\": {\"robot\": \"\u002Fvideo\u002Fencode\", \"use\": \":original\", \"preset\": \"hls-1080p\"}}' \\\n  --wait \\\n  --input .\u002Fmy-video.mp4\n```\n\n## Core Workflows\n\n### Encode Video to HLS (Adaptive Streaming)\n\n```json\n{\n  \"steps\": {\n    \"encoded\": {\n      \"robot\": \"\u002Fvideo\u002Fencode\",\n      \"use\": \":original\",\n      \"preset\": \"hls-1080p\"\n    }\n  }\n}\n```\n\n### Generate Thumbnails from Video\n\n```json\n{\n  \"steps\": {\n    \"thumbnails\": {\n      \"robot\": \"\u002Fvideo\u002Fthumbs\",\n      \"use\": \":original\",\n      \"count\": 8,\n      \"width\": 320,\n      \"height\": 240\n    }\n  }\n}\n```\n\n### Resize and Watermark Images\n\n```json\n{\n  \"steps\": {\n    \"resized\": {\n      \"robot\": \"\u002Fimage\u002Fresize\",\n      \"use\": \":original\",\n      \"width\": 1200,\n      \"height\": 800,\n      \"resize_strategy\": \"fit\"\n    },\n    \"watermarked\": {\n      \"robot\": \"\u002Fimage\u002Fresize\",\n      \"use\": \"resized\",\n      \"watermark_url\": \"https:\u002F\u002Fexample.com\u002Flogo.png\",\n      \"watermark_position\": \"bottom-right\",\n      \"watermark_size\": \"15%\"\n    }\n  }\n}\n```\n\n### OCR a Document\n\n```json\n{\n  \"steps\": {\n    \"recognized\": {\n      \"robot\": \"\u002Fdocument\u002Focr\",\n      \"use\": \":original\",\n      \"provider\": \"aws\",\n      \"format\": \"text\"\n    }\n  }\n}\n```\n\n### Concatenate Audio Clips\n\n```json\n{\n  \"steps\": {\n    \"imported\": {\n      \"robot\": \"\u002Fhttp\u002Fimport\",\n      \"url\": [\"https:\u002F\u002Fexample.com\u002Fclip1.mp3\", \"https:\u002F\u002Fexample.com\u002Fclip2.mp3\"]\n    },\n    \"concatenated\": {\n      \"robot\": \"\u002Faudio\u002Fconcat\",\n      \"use\": \"imported\",\n      \"preset\": \"mp3\"\n    }\n  }\n}\n```\n\n## Multi-Step Pipelines\n\nSteps can be chained using the `\"use\"` field. Each step references a previous step's output:\n\n```json\n{\n  \"steps\": {\n    \"resized\": {\n      \"robot\": \"\u002Fimage\u002Fresize\",\n      \"use\": \":original\",\n      \"width\": 1920\n    },\n    \"optimized\": {\n      \"robot\": \"\u002Fimage\u002Foptimize\",\n      \"use\": \"resized\"\n    },\n    \"exported\": {\n      \"robot\": \"\u002Fs3\u002Fstore\",\n      \"use\": \"optimized\",\n      \"bucket\": \"my-bucket\",\n      \"path\": \"processed\u002F${file.name}\"\n    }\n  }\n}\n```\n\n## Key Concepts\n\n- **Assembly**: A single processing job. Created via `create_assembly` (MCP) or `assemblies create` (CLI).\n- **Template**: A reusable set of steps stored on Transloadit. Created via `create_template` (MCP) or `templates create` (CLI).\n- **Robot**: A processing unit (e.g., `\u002Fvideo\u002Fencode`, `\u002Fimage\u002Fresize`). See full list at https:\u002F\u002Ftransloadit.com\u002Fdocs\u002Ftranscoding\u002F\n- **Steps**: JSON object defining the pipeline. Each key is a step name, each value configures a robot.\n- **`:original`**: Refers to the uploaded input file.\n\n## Tips\n\n- Use `--wait` with the CLI to block until processing completes.\n- Use `preset` values (e.g., `\"hls-1080p\"`, `\"mp3\"`, `\"webp\"`) for common format targets instead of specifying every parameter.\n- Chain `\"use\": \"step_name\"` to build multi-step pipelines without intermediate downloads.\n- For batch processing, use `\u002Fhttp\u002Fimport` to pull files from URLs, S3, GCS, Azure, FTP, or Dropbox.\n- Templates can include `${variables}` for dynamic values passed at assembly creation time.\n",{"name":5,"license":15,"description":7,"compatibility":52},"Requires a free Transloadit account (https:\u002F\u002Ftransloadit.com\u002Fsignup). Uses the @transloadit\u002Fmcp-server MCP server or the @transloadit\u002Fnode CLI.","master","e3489bc4e504668e9a2ff8fb73dc086da71328ab","01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T123413Z\u002Fsource\u002Fskills\u002Ftransloadit-media-processing","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills","https:\u002F\u002Fgithub.com\u002FTorchiaHub","2026-06-21 20:40:46",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add TorchiaHub\u002FSkills --skill transloadit-media-processing",{"tool":65,"command":66},"bunx","bunx skills add TorchiaHub\u002FSkills --skill transloadit-media-processing",{"tool":68,"command":69},"pnpm","pnpm dlx skills add TorchiaHub\u002FSkills --skill transloadit-media-processing","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T123413Z\u002Fsource\u002Fskills\u002Ftransloadit-media-processing\u002FSKILL.md",true,[],[74,103,134,165,192,215],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":78,"licenseFileUrl":79,"sourceHtmlUrl":80,"categories":81,"keywords":86,"publishedAt":47},"01M71VC09WZH7EYAA8YDKJQ0E1","resemble-detect","Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI","Apache-2.0","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fresemble-detect\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fresemble-detect\u002FSKILL.md",[82,85],{"categoryNo":83,"categoryName":84,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[87,88,38,40,89,90,91,30,32,92,93,94,95,96,97,98,99,100,101,102],"resemble detect","detect","SET","app","sources","detect ai","local","generated","ai api","api","analyze","text","paths","Safety","intelligence","deepfake detection",{"skillNo":104,"name":105,"nameZh":6,"description":106,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":107,"categories":108,"keywords":115,"publishedAt":47},"01M71VBN3ZPGZT29DK7N7VCT4P","refactor","Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Frefactor\u002FSKILL.md",[109,112],{"categoryNo":110,"categoryName":111,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":113,"categoryName":114,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",[105,116,117,118,119,120,121,122,123,100,124,125,126,127,128,129,130,131,132,133],"design patterns","extracting","improve","design","Variables","code","refactoring","Type Safety","patterns","surgical","code refactoring","down","for","repo","use","type","functions","behavior",{"skillNo":135,"name":136,"nameZh":6,"description":137,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":138,"sourceHtmlUrl":139,"categories":140,"keywords":145,"publishedAt":47},"01M71VA75R4MGJXGR0JS727PBV","quality-playbook","Explore any codebase from scratch and generate six quality artifacts: a quality constitution (QUALITY.md), spec-traced functional tests, a code review protocol with regression test generation, an integration testing protocol, a multi-model spec audit (Council of Three), and an AI bootstrap file (AGENTS.md). Includes state machine completeness analysis and missing safeguard detection. Works with any language (Python, Java, Scala, TypeScript, Go, Rust, etc.). Use this skill whenever the user asks to set up a quality playbook, generate functional tests from specifications, create a quality constitution, build testing protocols, audit code against specs, or establish a repeatable quality system for a project. Also trigger when the user mentions 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', 'coverage theater', or wants to go beyond basic test generation to build a full quality system grounded in their actual codebase.","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fquality-playbook\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fquality-playbook\u002FSKILL.md",[141,142],{"categoryNo":110,"categoryName":111,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":143,"categoryName":144,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,128,164],"playbook","quality playbook","quality","project","code review","integration testing","explore","testing","create","functional","generate","spec audit","typescript","go","state machine","full","multi-model","three","system",{"skillNo":166,"name":167,"nameZh":6,"description":168,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":169,"categories":170,"keywords":176,"publishedAt":47},"01M71V7TYJZ1C5XD0RRH2P340K","prd","Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fprd\u002FSKILL.md",[171],{"categoryNo":172,"categoryName":173,"taxonomyType":174,"taxonomyTypeDesc":175},"01JBSEEDCAT000000000000031","产品经理","PROFESSION","适用职业",[167,177,128,178,44,179,180,181,182,183,184,156,185,186,148,187,188,189,190,191],"risk","technical","requirements","analysis","stories","summaries","high","product","specifications","risk analysis","features","systems","software","user stories","Product Requirements",{"skillNo":193,"name":194,"nameZh":6,"description":195,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":196,"categories":197,"keywords":198,"publishedAt":47},"01M71V7JFHSJ61847CEY1EM48A","power-platform-architect","Use this skill when the user needs to transform business requirements, use case descriptions, or meeting transcripts into a technical Power Platform solution architecture, including component selection and Mermaid.js diagrams.","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fpower-platform-architect\u002FSKILL.md",[],[199,200,201,202,203,204,205,178,130,206,33,179,207,208,209,210,211,212,213,214],"power","platform","power platform","architect","power platform architect","diagrams","selection","business","architecture","needs","case","solution architecture","component","solution","mermaid","meeting",{"skillNo":216,"name":217,"nameZh":6,"description":218,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":219,"categories":220,"keywords":221,"publishedAt":47},"01M71V65KR84TMS1WARE3R11VZ","plantuml-ascii","Generate ASCII art diagrams using PlantUML text mode. Use when user asks to create ASCII diagrams, text-based diagrams, terminal-friendly diagrams, or mentions plantuml ascii, text diagram, ascii art diagram. Supports: Converting PlantUML diagrams to ASCII art, Creating sequence diagrams, class diagrams, flowcharts in ASCII format, Generating Unicode-enhanced ASCII art with -utxt flag","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fplantuml-ascii\u002FSKILL.md",[],[222,223,224,204,225,226,227,33,228,98,154,229,156,230,231,232,233,234,235,130],"plantuml","ascii","plantuml ascii","Unicode","mode","Art","Bash","diagram","terminal","read","write","sequence","plantuml diagrams","ascii art"]