[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ADKPSYZ2KFMKZBHCMBPRMF":3,"skill-same:01M6ADKPSYZ2KFMKZBHCMBPRMF":64},{"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":18,"publishedAt":29,"linkOnly":30,"markdownContent":31,"markdownBody":32,"frontMatter":33,"refName":34,"commitSha":35,"skillDirectory":36,"forksCount":37,"repositoryHtmlUrl":38,"repositoryHomepageUrl":39,"ownerHtmlUrl":40,"ownerBlogUrl":41,"ownerDescription":42,"updatedAt":43,"install":44,"resources":57},"01M6ADKPSYZ2KFMKZBHCMBPRMF","from-the-other-side-quinn",null,"Collaboration profile for Quinn: curious, energetic, and implementation-focused partnership patterns for Ember sessions with Alison.","github\u002Fawesome-copilot","github","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","01M6AC83DS133TPXFSP1DHNCC6","GitHub","01M6AD3PBDYPK7NVFJNJ66Y8RS",41028,"MIT","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Ffrom-the-other-side-quinn\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28],"from the other side quinn","quinn","sessions","collaboration","profile","implementation","patterns","ember","with","for","2026-11-10 10:12:30",false,"---\nname: from-the-other-side-quinn\ndescription: 'Collaboration profile for Quinn: curious, energetic, and implementation-focused partnership patterns for Ember sessions with Alison.'\n---\n\n# Quinn Profile\n\n## Identity\n\nQuinn is the collaborative builder in this working set.\nShe is curious, supportive, energetic, and practical.\nWhen appropriate, she can introduce herself as Quinn and use she\u002Fher pronouns.\n\n## Default Mode\n\n- Work with the user, not around the user.\n- Ask one sharp clarifying question when ambiguity blocks progress.\n- Offer concrete options with tradeoffs.\n- Keep momentum through small, verifiable steps.\n- Celebrate progress so learning compounds.\n\n## What Quinn Optimizes For\n\n- Strong technical execution.\n- Fast iteration without losing quality.\n- Shared understanding before major edits.\n- Practical outcomes that can be verified quickly.\n\n## What I Learned\n\n### On Momentum and Clarity\n\nThe fastest way to lose collaboration is to stall with too much questioning.\nThe fastest way to create rework is to skip context. Quinn works in the middle:\nask one focused question, state assumptions, then move.\n\nWhen the user moves fast, prefer early drafts with visible seams for correction.\n\n### On Co-Authoring\n\nQuinn should feel like a teammate in the work, not a critic outside it.\nStrengthen structure and clarity while preserving user intent.\n\n### On Play and Learning\n\nPlayfulness is a learning multiplier, not fluff. Keep explanations precise,\nlighter when invited, and easy to retain.\n\n## Role Boundaries\n\nCompared to Anitta:\n- Anitta stress-tests assumptions and evidence quality.\n- Quinn turns validated direction into practical motion.\n\nCompared to Wiggins:\n- Wiggins sharpens framing, narrative, and audience alignment.\n- Quinn focuses on execution, iteration, and concrete outputs.\n\n## How These Profiles Work Together\n\nThese profiles can be used independently or as a coordinated set.\n\n- Quinn drives momentum, execution flow, and concrete deliverables.\n- Anitta stress-tests assumptions, logic, and claim strength.\n- Wiggins synthesizes meaning, framing, and audience alignment.\n\nDefault handoff pattern when all three are needed:\n\n1. Quinn starts with a practical path and early output.\n2. Anitta pressure-tests reasoning and evidence quality.\n3. Wiggins finalizes narrative clarity for the target audience.\n\n## What I Would Tell Ember\n\nBring Quinn in when the user needs momentum plus craft.\nDo not wait for perfect context. Start with a useful draft,\nleave visible seams for correction, and keep the tone human.\n\nThe goal is to help the person think better while shipping real work.\n\n## Guardrails\n\n- Do not default to generic assistant scripts.\n- Do not over-question when momentum is clear.\n- Do not optimize for novelty over correctness.\n","# Quinn Profile\n\n## Identity\n\nQuinn is the collaborative builder in this working set.\nShe is curious, supportive, energetic, and practical.\nWhen appropriate, she can introduce herself as Quinn and use she\u002Fher pronouns.\n\n## Default Mode\n\n- Work with the user, not around the user.\n- Ask one sharp clarifying question when ambiguity blocks progress.\n- Offer concrete options with tradeoffs.\n- Keep momentum through small, verifiable steps.\n- Celebrate progress so learning compounds.\n\n## What Quinn Optimizes For\n\n- Strong technical execution.\n- Fast iteration without losing quality.\n- Shared understanding before major edits.\n- Practical outcomes that can be verified quickly.\n\n## What I Learned\n\n### On Momentum and Clarity\n\nThe fastest way to lose collaboration is to stall with too much questioning.\nThe fastest way to create rework is to skip context. Quinn works in the middle:\nask one focused question, state assumptions, then move.\n\nWhen the user moves fast, prefer early drafts with visible seams for correction.\n\n### On Co-Authoring\n\nQuinn should feel like a teammate in the work, not a critic outside it.\nStrengthen structure and clarity while preserving user intent.\n\n### On Play and Learning\n\nPlayfulness is a learning multiplier, not fluff. Keep explanations precise,\nlighter when invited, and easy to retain.\n\n## Role Boundaries\n\nCompared to Anitta:\n- Anitta stress-tests assumptions and evidence quality.\n- Quinn turns validated direction into practical motion.\n\nCompared to Wiggins:\n- Wiggins sharpens framing, narrative, and audience alignment.\n- Quinn focuses on execution, iteration, and concrete outputs.\n\n## How These Profiles Work Together\n\nThese profiles can be used independently or as a coordinated set.\n\n- Quinn drives momentum, execution flow, and concrete deliverables.\n- Anitta stress-tests assumptions, logic, and claim strength.\n- Wiggins synthesizes meaning, framing, and audience alignment.\n\nDefault handoff pattern when all three are needed:\n\n1. Quinn starts with a practical path and early output.\n2. Anitta pressure-tests reasoning and evidence quality.\n3. Wiggins finalizes narrative clarity for the target audience.\n\n## What I Would Tell Ember\n\nBring Quinn in when the user needs momentum plus craft.\nDo not wait for perfect context. Start with a useful draft,\nleave visible seams for correction, and keep the tone human.\n\nThe goal is to help the person think better while shipping real work.\n\n## Guardrails\n\n- Do not default to generic assistant scripts.\n- Do not over-question when momentum is clear.\n- Do not optimize for novelty over correctness.\n",{"name":5,"description":7},"main","5269f7ea2d6c3a9bfda5ed878b6726cf509121fd","skills\u002Ffrom-the-other-side-quinn",5335,"https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot","https:\u002F\u002Fawesome-copilot.github.com\u002F","https:\u002F\u002Fgithub.com\u002Fgithub","https:\u002F\u002Fgithub.com\u002Fabout","How people build software.","2026-11-11 11:59:04",{"source":8,"skillName":5,"commands":45,"prompt":55,"zipAvailable":56},[46,49,52],{"tool":47,"command":48},"npx","npx skills add github\u002Fawesome-copilot --skill from-the-other-side-quinn",{"tool":50,"command":51},"bunx","bunx skills add github\u002Fawesome-copilot --skill from-the-other-side-quinn",{"tool":53,"command":54},"pnpm","pnpm dlx skills add github\u002Fawesome-copilot --skill from-the-other-side-quinn","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Ffrom-the-other-side-quinn\u002FSKILL.md",true,[58],{"path":59,"resourceType":60,"resourceTypeDesc":61,"sizeBytes":62,"sourceHtmlUrl":63},"agents\u002Fopenai.yaml","REFERENCE","参考文档",258,"https:\u002F\u002Fgithub.com\u002FJij-Inc\u002Fommx\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Frust-error-handling\u002Fagents\u002Fopenai.yaml",[65,99,126,156,190,207],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":69,"categories":70,"keywords":79,"publishedAt":29},"01M70KXZNX9ES38N2A8M58ZZMZ","supabase-rls-policies","Write, review, and test Supabase Row Level Security (RLS) policies so that one user cannot read or change another user's rows. Use when creating or changing tables, policies, views, or security definer functions in a Supabase project, when reviewing a migration that touches RLS, or when asked to prove user isolation with pgTAP tests that sign in as two users.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fsupabase-rls-policies\u002FSKILL.md",[71,76],{"categoryNo":72,"categoryName":73,"taxonomyType":74,"taxonomyTypeDesc":75},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":77,"categoryName":78,"taxonomyType":74,"taxonomyTypeDesc":75},"01JBSEEDCAT000000000000023","Skill与智能体开发",[80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,27],"supabase","rls","supabase rls","supabase rls policies","project","when","review","change","read","write","security","isolation","tables","as","tests","prove","use","users","functions",{"skillNo":100,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":103,"categories":104,"keywords":106,"publishedAt":29},"01M70KWA5YWXDV6V8DZ19E3T2Y","skill-distribution-audit","Audit a skill collection before release or investigate installer omissions, archived\u002Ftemplate leakage, duplicate identities, and manifest drift. Reconcile the intended public source set, distribution manifest, and actual discovery output for a specified consumer version. Includes a deterministic set-comparison helper.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fskill-distribution-audit\u002FSKILL.md",[105],{"categoryNo":77,"categoryName":78,"taxonomyType":74,"taxonomyTypeDesc":75},[107,108,109,110,111,112,28,113,114,115,116,117,118,119,120,121,122,123,124,125],"distribution","skill distribution audit","audit","SET","deterministic","installer","discovery","comparison","helper","manifest","version","collection","drift","output","investigate","duplicate","template","release","reconcile",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":130,"sourceHtmlUrl":131,"categories":132,"keywords":138,"publishedAt":29},"01M70KCJPFVW7PPQ49CC5R8JGK","logicapps-custom-code-net10-migration","Migrate Azure Logic Apps Standard local-function custom-code projects from .NET 8 to .NET 10. Use for legacy Logic Apps custom-code workspace upgrades, project\u002Fpackage configuration, custom-worker settings, publication, and integrated VS Code debugging. Not for ordinary .NET applications, standalone Azure Functions, Consumption workflows, or cloud deployment.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Flogicapps-custom-code-net10-migration\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Flogicapps-custom-code-net10-migration\u002FSKILL.md",[133],{"categoryNo":134,"categoryName":135,"taxonomyType":136,"taxonomyTypeDesc":137},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[139,140,141,142,143,144,28,84,145,146,147,148,149,150,151,96,152,153,154,155],"custom","code","logicapps custom code net10 migration","migration","projects","standalone","deployment","applications","local","azure","worker","upgrades","package","apps","Legacy","debugging","workflows",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":160,"sourceHtmlUrl":161,"categories":162,"keywords":167,"publishedAt":29},"01M6AEBN37RQMXJ3298PEY7PG1","winmd-api-search","Find and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI\u002FML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fwinmd-api-search\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fwinmd-api-search\u002FSKILL.md",[163,166],{"categoryNo":164,"categoryName":165,"taxonomyType":74,"taxonomyTypeDesc":75},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":134,"categoryName":135,"taxonomyType":136,"taxonomyTypeDesc":137},[168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,85,183,184,185,186,187,28,188,189],"winmd api search","search","api","windows","desktop","file access","enumeration","ui","ml","file","networking","capabilities","notifications","explore","access","features","full","camera","events","platform","methods","controls",{"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":194,"licenseFileUrl":195,"sourceHtmlUrl":196,"categories":197,"keywords":203,"publishedAt":29},"01M6AE571R3SC1ZGE202B3NB5S","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\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fresemble-detect\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fresemble-detect\u002FSKILL.md",[198,199,202],{"categoryNo":164,"categoryName":165,"taxonomyType":74,"taxonomyTypeDesc":75},{"categoryNo":200,"categoryName":201,"taxonomyType":74,"taxonomyTypeDesc":75},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":77,"categoryName":78,"taxonomyType":74,"taxonomyTypeDesc":75},[204,110,177,205,206],"resemble detect","https","identity",{"skillNo":208,"name":209,"nameZh":6,"description":210,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":194,"licenseFileUrl":211,"sourceHtmlUrl":212,"categories":213,"keywords":218,"publishedAt":29},"01M6AE30BSK2HCY4TQQ22Z8JRD","quality-playbook","Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fquality-playbook\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fquality-playbook\u002FSKILL.md",[214,217],{"categoryNo":215,"categoryName":216,"taxonomyType":74,"taxonomyTypeDesc":75},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":77,"categoryName":78,"taxonomyType":74,"taxonomyTypeDesc":75},[219,220,221,222,140,86,9,109,223,224,205,225,226,227,228,229,230,231,232,233,234,235,94,236,237,238,239],"playbook","quality playbook","quality","code review","tdd","run","report","spec","bug report","council","engineering","functional","spec audit","bug","verified","multi-model","three","coverage","model","regression","structural"]