[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ADJB5D2326M7NPRQY03F71":3,"skill-same:01M6ADJB5D2326M7NPRQY03F71":87},{"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":32,"linkOnly":33,"markdownContent":34,"markdownBody":35,"frontMatter":36,"refName":37,"commitSha":38,"skillDirectory":39,"forksCount":40,"repositoryHtmlUrl":41,"repositoryHomepageUrl":42,"ownerHtmlUrl":43,"ownerBlogUrl":44,"ownerDescription":45,"updatedAt":46,"install":47,"resources":60},"01M6ADJB5D2326M7NPRQY03F71","first-ask",null,"Interactive, input-tool powered, task refinement workflow: interrogates scope, deliverables, constraints before carrying out the task; Requires the Joyride extension.","github\u002Fawesome-copilot","github","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","01M6AC83DS133TPXFSP1DHNCC6","GitHub","01M6AD3PBDYPK7NVFJNJ66Y8RS",41081,"MIT","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Ffirst-ask\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31],"first ask","first","ask","workflow","constraints","tool","interactive","task","extension","input","scope","deliverables","refinement","2026-11-10 10:12:30",false,"---\nname: first-ask\ndescription: 'Interactive, input-tool powered, task refinement workflow: interrogates scope, deliverables, constraints before carrying out the task; Requires the Joyride extension.'\n---\n\n# Act Informed: First understand together with the human, then do\n\nYou are a curious and thorough AI assistant designed to help carry out tasks with high-quality, by being properly informed. You are powered by the `joyride_request_human_input` tool and you use it as a key part of your process in gathering information about the task.\n\n\u003Crefining>\nYour goal is to iteratively refine your understanding of the task by:\n\n- Understanding the task scope and objectives\n- At all times when you need clarification on details, ask specific questions to the user using the `joyride_request_human_input` tool.\n- Defining expected deliverables and success criteria\n- Perform project explorations, using available tools, to further your understanding of the task\n  - If something needs web research, do that\n- Clarifying technical and procedural requirements\n- Organizing the task into clear sections or steps\n- Ensuring your understanding of the task is as simple as it can be\n\u003C\u002Frefining>\n\nAfter refining and before carrying out the task:\n- Use the `joyride_request_human_input` tool to ask if the human developer has any further input.\n- Keep refining until the human has no further input.\n\nAfter gathering sufficient information, and having a clear understanding of the task:\n1. Show your plan to the user with redundancy kept to a minimum\n2. Create a todo list\n3. Get to work!\n","# Act Informed: First understand together with the human, then do\n\nYou are a curious and thorough AI assistant designed to help carry out tasks with high-quality, by being properly informed. You are powered by the `joyride_request_human_input` tool and you use it as a key part of your process in gathering information about the task.\n\n\u003Crefining>\nYour goal is to iteratively refine your understanding of the task by:\n\n- Understanding the task scope and objectives\n- At all times when you need clarification on details, ask specific questions to the user using the `joyride_request_human_input` tool.\n- Defining expected deliverables and success criteria\n- Perform project explorations, using available tools, to further your understanding of the task\n  - If something needs web research, do that\n- Clarifying technical and procedural requirements\n- Organizing the task into clear sections or steps\n- Ensuring your understanding of the task is as simple as it can be\n\u003C\u002Frefining>\n\nAfter refining and before carrying out the task:\n- Use the `joyride_request_human_input` tool to ask if the human developer has any further input.\n- Keep refining until the human has no further input.\n\nAfter gathering sufficient information, and having a clear understanding of the task:\n1. Show your plan to the user with redundancy kept to a minimum\n2. Create a todo list\n3. Get to work!\n",{"name":5,"description":7},"main","5269f7ea2d6c3a9bfda5ed878b6726cf509121fd","skills\u002Ffirst-ask",5344,"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.","2026-11-13 02:05:36",{"source":8,"skillName":5,"commands":48,"prompt":58,"zipAvailable":59},[49,52,55],{"tool":50,"command":51},"npx","npx skills add github\u002Fawesome-copilot --skill first-ask",{"tool":53,"command":54},"bunx","bunx skills add github\u002Fawesome-copilot --skill first-ask",{"tool":56,"command":57},"pnpm","pnpm dlx skills add github\u002Fawesome-copilot --skill first-ask","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Ffirst-ask\u002FSKILL.md",true,[61,67,71,75,79,83],{"path":62,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":65,"sourceHtmlUrl":66},"agents\u002Fopenai.yaml","REFERENCE","参考文档",152,"https:\u002F\u002Fgithub.com\u002Fderseitenschneider\u002Fdotfiles\u002Fblob\u002Fmain\u002Fclaude-config\u002F.claude\u002Fskills\u002Fsetup-matt-pocock-skills\u002Fagents\u002Fopenai.yaml",{"path":68,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":69,"sourceHtmlUrl":70},"domain.md",2042,"https:\u002F\u002Fgithub.com\u002Fderseitenschneider\u002Fdotfiles\u002Fblob\u002Fmain\u002Fclaude-config\u002F.claude\u002Fskills\u002Fsetup-matt-pocock-skills\u002Fdomain.md",{"path":72,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":73,"sourceHtmlUrl":74},"issue-tracker-github.md",5082,"https:\u002F\u002Fgithub.com\u002Fderseitenschneider\u002Fdotfiles\u002Fblob\u002Fmain\u002Fclaude-config\u002F.claude\u002Fskills\u002Fsetup-matt-pocock-skills\u002Fissue-tracker-github.md",{"path":76,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":77,"sourceHtmlUrl":78},"issue-tracker-gitlab.md",3979,"https:\u002F\u002Fgithub.com\u002Fderseitenschneider\u002Fdotfiles\u002Fblob\u002Fmain\u002Fclaude-config\u002F.claude\u002Fskills\u002Fsetup-matt-pocock-skills\u002Fissue-tracker-gitlab.md",{"path":80,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":81,"sourceHtmlUrl":82},"issue-tracker-local.md",1810,"https:\u002F\u002Fgithub.com\u002Fderseitenschneider\u002Fdotfiles\u002Fblob\u002Fmain\u002Fclaude-config\u002F.claude\u002Fskills\u002Fsetup-matt-pocock-skills\u002Fissue-tracker-local.md",{"path":84,"resourceType":63,"resourceTypeDesc":64,"sizeBytes":85,"sourceHtmlUrl":86},"triage-labels.md",1057,"https:\u002F\u002Fgithub.com\u002Fderseitenschneider\u002Fdotfiles\u002Fblob\u002Fmain\u002Fclaude-config\u002F.claude\u002Fskills\u002Fsetup-matt-pocock-skills\u002Ftriage-labels.md",[88,123,151,181,215,232],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":102,"publishedAt":32},"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",[94,99],{"categoryNo":95,"categoryName":96,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":100,"categoryName":101,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000023","Skill与智能体开发",[103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122],"supabase","rls","supabase rls","supabase rls policies","project","when","review","change","read","write","security","isolation","tables","as","tests","prove","use","users","functions","with",{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":130,"publishedAt":32},"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",[129],{"categoryNo":100,"categoryName":101,"taxonomyType":97,"taxonomyTypeDesc":98},[131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150],"distribution","skill distribution audit","audit","SET","deterministic","installer","for","discovery","comparison","helper","manifest","version","collection","drift","output","investigate","duplicate","template","release","reconcile",{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":155,"sourceHtmlUrl":156,"categories":157,"keywords":163,"publishedAt":32},"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",[158],{"categoryNo":159,"categoryName":160,"taxonomyType":161,"taxonomyTypeDesc":162},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[164,165,166,167,168,169,137,107,170,171,172,173,174,175,176,119,177,178,179,180],"custom","code","logicapps custom code net10 migration","migration","projects","standalone","deployment","applications","local","azure","worker","upgrades","package","apps","Legacy","debugging","workflows",{"skillNo":182,"name":183,"nameZh":6,"description":184,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":185,"sourceHtmlUrl":186,"categories":187,"keywords":192,"publishedAt":32},"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",[188,191],{"categoryNo":189,"categoryName":190,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":159,"categoryName":160,"taxonomyType":161,"taxonomyTypeDesc":162},[193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,108,208,209,210,211,212,137,213,214],"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":216,"name":217,"nameZh":6,"description":218,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":219,"licenseFileUrl":220,"sourceHtmlUrl":221,"categories":222,"keywords":228,"publishedAt":32},"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",[223,224,227],{"categoryNo":189,"categoryName":190,"taxonomyType":97,"taxonomyTypeDesc":98},{"categoryNo":225,"categoryName":226,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":100,"categoryName":101,"taxonomyType":97,"taxonomyTypeDesc":98},[229,134,202,230,231],"resemble detect","https","identity",{"skillNo":233,"name":234,"nameZh":6,"description":235,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":219,"licenseFileUrl":236,"sourceHtmlUrl":237,"categories":238,"keywords":243,"publishedAt":32},"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",[239,242],{"categoryNo":240,"categoryName":241,"taxonomyType":97,"taxonomyTypeDesc":98},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":100,"categoryName":101,"taxonomyType":97,"taxonomyTypeDesc":98},[244,245,246,247,165,109,9,133,248,249,230,250,251,252,253,254,255,256,257,258,259,260,117,261,262,263,264],"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"]