[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71QG2NXMSMBMENY825FSW3E":3,"skill-same:01M71QG2NXMSMBMENY825FSW3E":79},{"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":16,"sourceHtmlUrl":17,"categories":18,"keywords":29,"publishedAt":48,"linkOnly":49,"markdownContent":50,"markdownBody":51,"frontMatter":52,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":14,"repositoryHtmlUrl":57,"repositoryHomepageUrl":6,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":59,"install":60,"resources":73},"01M71QG2NXMSMBMENY825FSW3E","brand-guidelines",null,"Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.","TorchiaHub\u002FSkills","TorchiaHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F125223386?v=4","01M71Q3SNKHMKJYN4HGMSQ2CEY","Mattia Torchia","01M71Q3SP6T1Z9NBADBCFP7GM5",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\u002Fbrand-guidelines\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\u002Fbrand-guidelines\u002FSKILL.md",[19,24],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":25,"categoryName":26,"taxonomyType":27,"taxonomyTypeDesc":28},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"guidelines","brand guidelines","brand","formatting","it","typography","look","style","artifact","visual","sort","apply","when","use","design","company","official","standards","2026-11-10 13:02:02",false,"---\nname: brand-guidelines\ndescription: Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.\nlicense: Complete terms in LICENSE.txt\n---\n\n# Anthropic Brand Styling\n\n## Overview\n\nTo access Anthropic's official brand identity and style resources, use this skill.\n\n**Keywords**: branding, corporate identity, visual identity, post-processing, styling, brand colors, typography, Anthropic brand, visual formatting, visual design\n\n## Brand Guidelines\n\n### Colors\n\n**Main Colors:**\n\n- Dark: `#141413` - Primary text and dark backgrounds\n- Light: `#faf9f5` - Light backgrounds and text on dark\n- Mid Gray: `#b0aea5` - Secondary elements\n- Light Gray: `#e8e6dc` - Subtle backgrounds\n\n**Accent Colors:**\n\n- Orange: `#d97757` - Primary accent\n- Blue: `#6a9bcc` - Secondary accent\n- Green: `#788c5d` - Tertiary accent\n\n### Typography\n\n- **Headings**: Poppins (with Arial fallback)\n- **Body Text**: Lora (with Georgia fallback)\n- **Note**: Fonts should be pre-installed in your environment for best results\n\n## Features\n\n### Smart Font Application\n\n- Applies Poppins font to headings (24pt and larger)\n- Applies Lora font to body text\n- Automatically falls back to Arial\u002FGeorgia if custom fonts unavailable\n- Preserves readability across all systems\n\n### Text Styling\n\n- Headings (24pt+): Poppins font\n- Body text: Lora font\n- Smart color selection based on background\n- Preserves text hierarchy and formatting\n\n### Shape and Accent Colors\n\n- Non-text shapes use accent colors\n- Cycles through orange, blue, and green accents\n- Maintains visual interest while staying on-brand\n\n## Technical Details\n\n### Font Management\n\n- Uses system-installed Poppins and Lora fonts when available\n- Provides automatic fallback to Arial (headings) and Georgia (body)\n- No font installation required - works with existing system fonts\n- For best results, pre-install Poppins and Lora fonts in your environment\n\n### Color Application\n\n- Uses RGB color values for precise brand matching\n- Applied via python-pptx's RGBColor class\n- Maintains color fidelity across different systems\n","# Anthropic Brand Styling\n\n## Overview\n\nTo access Anthropic's official brand identity and style resources, use this skill.\n\n**Keywords**: branding, corporate identity, visual identity, post-processing, styling, brand colors, typography, Anthropic brand, visual formatting, visual design\n\n## Brand Guidelines\n\n### Colors\n\n**Main Colors:**\n\n- Dark: `#141413` - Primary text and dark backgrounds\n- Light: `#faf9f5` - Light backgrounds and text on dark\n- Mid Gray: `#b0aea5` - Secondary elements\n- Light Gray: `#e8e6dc` - Subtle backgrounds\n\n**Accent Colors:**\n\n- Orange: `#d97757` - Primary accent\n- Blue: `#6a9bcc` - Secondary accent\n- Green: `#788c5d` - Tertiary accent\n\n### Typography\n\n- **Headings**: Poppins (with Arial fallback)\n- **Body Text**: Lora (with Georgia fallback)\n- **Note**: Fonts should be pre-installed in your environment for best results\n\n## Features\n\n### Smart Font Application\n\n- Applies Poppins font to headings (24pt and larger)\n- Applies Lora font to body text\n- Automatically falls back to Arial\u002FGeorgia if custom fonts unavailable\n- Preserves readability across all systems\n\n### Text Styling\n\n- Headings (24pt+): Poppins font\n- Body text: Lora font\n- Smart color selection based on background\n- Preserves text hierarchy and formatting\n\n### Shape and Accent Colors\n\n- Non-text shapes use accent colors\n- Cycles through orange, blue, and green accents\n- Maintains visual interest while staying on-brand\n\n## Technical Details\n\n### Font Management\n\n- Uses system-installed Poppins and Lora fonts when available\n- Provides automatic fallback to Arial (headings) and Georgia (body)\n- No font installation required - works with existing system fonts\n- For best results, pre-install Poppins and Lora fonts in your environment\n\n### Color Application\n\n- Uses RGB color values for precise brand matching\n- Applied via python-pptx's RGBColor class\n- Maintains color fidelity across different systems\n",{"name":5,"license":53,"description":7},"Complete terms in LICENSE.txt","master","e3489bc4e504668e9a2ff8fb73dc086da71328ab","01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\u002Fbrand-guidelines","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills","https:\u002F\u002Fgithub.com\u002FTorchiaHub","2026-06-21 20:40:46",{"source":8,"skillName":5,"commands":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add TorchiaHub\u002FSkills --skill brand-guidelines",{"tool":66,"command":67},"bunx","bunx skills add TorchiaHub\u002FSkills --skill brand-guidelines",{"tool":69,"command":70},"pnpm","pnpm dlx skills add TorchiaHub\u002FSkills --skill brand-guidelines","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\u002Fbrand-guidelines\u002FSKILL.md",true,[74],{"path":75,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":78,"sourceHtmlUrl":16},"LICENSE.txt","LICENSE","许可证",11345,[80,114,142,173,199,222],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":84,"sourceHtmlUrl":85,"categories":86,"keywords":93,"publishedAt":48},"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","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",[87,90],{"categoryNo":88,"categoryName":89,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":91,"categoryName":92,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000016","图像与多媒体",[94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113],"resemble detect","detect","images","Video","SET","app","sources","Media","Audio","detect ai","local","generated","ai api","api","analyze","text","paths","Safety","intelligence","deepfake detection",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":118,"licenseFileUrl":6,"sourceHtmlUrl":119,"categories":120,"keywords":125,"publishedAt":48},"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.","MIT","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Frefactor\u002FSKILL.md",[121,124],{"categoryNo":122,"categoryName":123,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},[116,126,127,128,44,129,130,131,132,111,133,134,135,136,137,138,43,139,140,141],"design patterns","extracting","improve","Variables","code","refactoring","Type Safety","patterns","surgical","code refactoring","down","for","repo","type","functions","behavior",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":118,"licenseFileUrl":146,"sourceHtmlUrl":147,"categories":148,"keywords":153,"publishedAt":48},"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",[149,150],{"categoryNo":122,"categoryName":123,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":151,"categoryName":152,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000008","测试与质量",[154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,137,172],"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":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":118,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":182,"publishedAt":48},"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",[179],{"categoryNo":180,"categoryName":181,"taxonomyType":27,"taxonomyTypeDesc":28},"01JBSEEDCAT000000000000031","产品经理",[175,183,137,184,185,186,187,188,189,190,191,164,192,193,156,194,195,196,197,198],"risk","technical","documents","requirements","analysis","stories","summaries","high","product","specifications","risk analysis","features","systems","software","user stories","Product Requirements",{"skillNo":200,"name":201,"nameZh":6,"description":202,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":118,"licenseFileUrl":6,"sourceHtmlUrl":203,"categories":204,"keywords":205,"publishedAt":48},"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",[],[206,207,208,209,210,211,212,184,43,213,42,186,214,215,216,217,218,219,220,221],"power","platform","power platform","architect","power platform architect","diagrams","selection","business","architecture","needs","case","solution architecture","component","solution","mermaid","meeting",{"skillNo":223,"name":224,"nameZh":6,"description":225,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":118,"licenseFileUrl":6,"sourceHtmlUrl":226,"categories":227,"keywords":228,"publishedAt":48},"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",[],[229,230,231,211,232,233,234,42,235,109,162,236,164,237,238,239,240,241,242,43],"plantuml","ascii","plantuml ascii","Unicode","mode","Art","Bash","diagram","terminal","read","write","sequence","plantuml diagrams","ascii art"]