[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AD6K0YXSC4WNX6JJX0NPCY":3,"skill-same:01M6AD6K0YXSC4WNX6JJX0NPCY":78},{"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":40,"linkOnly":41,"markdownContent":42,"markdownBody":43,"frontMatter":44,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":53,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":56,"updatedAt":57,"install":58,"resources":71},"01M6AD6K0YXSC4WNX6JJX0NPCY","arize-link",null,"Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset, evaluator, or annotation config in the Arize UI.","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\u002Farize-link\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],"arize link","Arize","link","datasets","when","traces","for","links","with","resources","evaluator","dataset","deep","sessions","use","session","team","open","sharing","ui","config","2026-11-10 10:12:30",false,"---\nname: arize-link\ndescription: Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset, evaluator, or annotation config in the Arize UI.\nmetadata:\n  author: arize\n  version: \"1.0\"\n---\n\n# Arize Link\n\nGenerate deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs.\n\n## When to Use\n\n- User wants a link to a trace, span, session, dataset, labeling queue, evaluator, or annotation config\n- You have IDs from exported data or logs and need to link back to the UI\n- User asks to \"open\" or \"view\" any of the above in Arize\n\n## Required Inputs\n\nCollect from the user or context (exported trace data, parsed URLs):\n\n| Always required | Resource-specific |\n|---|---|\n| `org_id` (base64) | `project_id` + `trace_id` [+ `span_id`] — trace\u002Fspan |\n| `space_id` (base64) | `project_id` + `session_id` — session |\n| | `dataset_id` — dataset |\n| | `queue_id` — specific queue (omit for list) |\n| | `evaluator_id` [+ `version`] — evaluator |\n\n**All path IDs must be base64-encoded** (characters: `A-Za-z0-9+\u002F=`). A raw numeric ID produces a valid-looking URL that 404s. If the user provides a number, ask them to copy the ID directly from their Arize browser URL (`https:\u002F\u002Fapp.arize.com\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002F…`). If you have a raw internal ID (e.g. `Organization:1:abC1`), base64-encode it before inserting into the URL.\n\n## URL Templates\n\nBase URL: `https:\u002F\u002Fapp.arize.com` (override for on-prem)\n\n**Trace** (add `&selectedSpanId={span_id}` to highlight a specific span):\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fprojects\u002F{project_id}?selectedTraceId={trace_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llm\n```\n\n**Session:**\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fprojects\u002F{project_id}?selectedSessionId={session_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llm\n```\n\n**Dataset** (`selectedTab`: `examples` or `experiments`):\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fdatasets\u002F{dataset_id}?selectedTab=examples\n```\n\n**Queue list \u002F specific queue:**\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fqueues\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fqueues\u002F{queue_id}\n```\n\n**Evaluator** (omit `?version=…` for latest):\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fevaluators\u002F{evaluator_id}\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fevaluators\u002F{evaluator_id}?version={version_url_encoded}\n```\nThe `version` value must be URL-encoded (e.g., trailing `=` → `%3D`).\n\n**Annotation configs:**\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fannotation-configs\n```\n\n## Time Range\n\nCRITICAL: `startA` and `endA` (epoch milliseconds) are **required** for trace\u002Fspan\u002Fsession links — omitting them defaults to the last 7 days and will show \"no recent data\" if the trace falls outside that window.\n\n**Priority order:**\n1. **User-provided URL** — extract and reuse `startA`\u002F`endA` directly.\n2. **Span `start_time`** — pad ±1 day (or ±1 hour for a tighter window).\n3. **Fallback** — last 90 days (`now - 90d` to `now`).\n\nPrefer tight windows; 90-day windows load slowly.\n\n## Instructions\n\n1. Gather IDs from user, exported data, or URL context.\n2. Verify all path IDs are base64-encoded.\n3. Determine `startA`\u002F`endA` using the priority order above.\n4. Substitute into the appropriate template and present as a clickable markdown link.\n\n## Troubleshooting\n\n| Problem | Solution |\n|---|---|\n| \"No data\" \u002F empty view | Trace outside time window — widen `startA`\u002F`endA` (±1h → ±1d → 90d). |\n| 404 | ID wrong or not base64. Re-check `org_id`, `space_id`, `project_id` from the browser URL. |\n| Span not highlighted | `span_id` may belong to a different trace. Verify against exported span data. |\n| `org_id` unknown | `ax` CLI doesn't expose it. Ask user to copy from `https:\u002F\u002Fapp.arize.com\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002F…`. |\n\n## Related Skills\n\n- **arize-trace**: Export spans to get `trace_id`, `span_id`, and `start_time`.\n\n## Examples\n\nSee references\u002FEXAMPLES.md for a complete set of concrete URLs for every link type.\n","# Arize Link\n\nGenerate deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs.\n\n## When to Use\n\n- User wants a link to a trace, span, session, dataset, labeling queue, evaluator, or annotation config\n- You have IDs from exported data or logs and need to link back to the UI\n- User asks to \"open\" or \"view\" any of the above in Arize\n\n## Required Inputs\n\nCollect from the user or context (exported trace data, parsed URLs):\n\n| Always required | Resource-specific |\n|---|---|\n| `org_id` (base64) | `project_id` + `trace_id` [+ `span_id`] — trace\u002Fspan |\n| `space_id` (base64) | `project_id` + `session_id` — session |\n| | `dataset_id` — dataset |\n| | `queue_id` — specific queue (omit for list) |\n| | `evaluator_id` [+ `version`] — evaluator |\n\n**All path IDs must be base64-encoded** (characters: `A-Za-z0-9+\u002F=`). A raw numeric ID produces a valid-looking URL that 404s. If the user provides a number, ask them to copy the ID directly from their Arize browser URL (`https:\u002F\u002Fapp.arize.com\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002F…`). If you have a raw internal ID (e.g. `Organization:1:abC1`), base64-encode it before inserting into the URL.\n\n## URL Templates\n\nBase URL: `https:\u002F\u002Fapp.arize.com` (override for on-prem)\n\n**Trace** (add `&selectedSpanId={span_id}` to highlight a specific span):\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fprojects\u002F{project_id}?selectedTraceId={trace_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llm\n```\n\n**Session:**\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fprojects\u002F{project_id}?selectedSessionId={session_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llm\n```\n\n**Dataset** (`selectedTab`: `examples` or `experiments`):\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fdatasets\u002F{dataset_id}?selectedTab=examples\n```\n\n**Queue list \u002F specific queue:**\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fqueues\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fqueues\u002F{queue_id}\n```\n\n**Evaluator** (omit `?version=…` for latest):\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fevaluators\u002F{evaluator_id}\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fevaluators\u002F{evaluator_id}?version={version_url_encoded}\n```\nThe `version` value must be URL-encoded (e.g., trailing `=` → `%3D`).\n\n**Annotation configs:**\n```\n{base_url}\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002Fannotation-configs\n```\n\n## Time Range\n\nCRITICAL: `startA` and `endA` (epoch milliseconds) are **required** for trace\u002Fspan\u002Fsession links — omitting them defaults to the last 7 days and will show \"no recent data\" if the trace falls outside that window.\n\n**Priority order:**\n1. **User-provided URL** — extract and reuse `startA`\u002F`endA` directly.\n2. **Span `start_time`** — pad ±1 day (or ±1 hour for a tighter window).\n3. **Fallback** — last 90 days (`now - 90d` to `now`).\n\nPrefer tight windows; 90-day windows load slowly.\n\n## Instructions\n\n1. Gather IDs from user, exported data, or URL context.\n2. Verify all path IDs are base64-encoded.\n3. Determine `startA`\u002F`endA` using the priority order above.\n4. Substitute into the appropriate template and present as a clickable markdown link.\n\n## Troubleshooting\n\n| Problem | Solution |\n|---|---|\n| \"No data\" \u002F empty view | Trace outside time window — widen `startA`\u002F`endA` (±1h → ±1d → 90d). |\n| 404 | ID wrong or not base64. Re-check `org_id`, `space_id`, `project_id` from the browser URL. |\n| Span not highlighted | `span_id` may belong to a different trace. Verify against exported span data. |\n| `org_id` unknown | `ax` CLI doesn't expose it. Ask user to copy from `https:\u002F\u002Fapp.arize.com\u002Forganizations\u002F{org_id}\u002Fspaces\u002F{space_id}\u002F…`. |\n\n## Related Skills\n\n- **arize-trace**: Export spans to get `trace_id`, `span_id`, and `start_time`.\n\n## Examples\n\nSee references\u002FEXAMPLES.md for a complete set of concrete URLs for every link type.\n",{"name":5,"metadata":45,"description":7},{"author":46,"version":47},"arize","1.0","main","5269f7ea2d6c3a9bfda5ed878b6726cf509121fd","skills\u002Farize-link",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":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add github\u002Fawesome-copilot --skill arize-link",{"tool":64,"command":65},"bunx","bunx skills add github\u002Fawesome-copilot --skill arize-link",{"tool":67,"command":68},"pnpm","pnpm dlx skills add github\u002Fawesome-copilot --skill arize-link","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Farize-link\u002FSKILL.md",true,[72],{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002FEXAMPLES.md","REFERENCE","参考文档",2059,"https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Farize-link\u002Freferences\u002FEXAMPLES.md",[79,111,138,168,201,218],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":93,"publishedAt":40},"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",[85,90],{"categoryNo":86,"categoryName":87,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000023","Skill与智能体开发",[94,95,96,97,98,23,99,100,101,102,103,104,105,106,107,108,33,109,110,27],"supabase","rls","supabase rls","supabase rls policies","project","review","change","read","write","security","isolation","tables","as","tests","prove","users","functions",{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":118,"publishedAt":40},"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",[117],{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},[119,120,121,122,123,124,25,125,126,127,128,129,130,131,132,133,134,135,136,137],"distribution","skill distribution audit","audit","SET","deterministic","installer","discovery","comparison","helper","manifest","version","collection","drift","output","investigate","duplicate","template","release","reconcile",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":142,"sourceHtmlUrl":143,"categories":144,"keywords":150,"publishedAt":40},"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",[145],{"categoryNo":146,"categoryName":147,"taxonomyType":148,"taxonomyTypeDesc":149},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[151,152,153,154,155,156,25,98,157,158,159,160,161,162,163,33,164,165,166,167],"custom","code","logicapps custom code net10 migration","migration","projects","standalone","deployment","applications","local","azure","worker","upgrades","package","apps","Legacy","debugging","workflows",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":172,"sourceHtmlUrl":173,"categories":174,"keywords":179,"publishedAt":40},"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",[175,178],{"categoryNo":176,"categoryName":177,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":146,"categoryName":147,"taxonomyType":148,"taxonomyTypeDesc":149},[180,181,182,183,184,185,186,38,187,188,189,190,191,192,193,23,194,195,196,197,198,25,199,200],"winmd api search","search","api","windows","desktop","file access","enumeration","ml","file","networking","capabilities","notifications","explore","access","features","full","camera","events","platform","methods","controls",{"skillNo":202,"name":203,"nameZh":6,"description":204,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":205,"licenseFileUrl":206,"sourceHtmlUrl":207,"categories":208,"keywords":214,"publishedAt":40},"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",[209,210,213],{"categoryNo":176,"categoryName":177,"taxonomyType":88,"taxonomyTypeDesc":89},{"categoryNo":211,"categoryName":212,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},[215,122,188,216,217],"resemble detect","https","identity",{"skillNo":219,"name":220,"nameZh":6,"description":221,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":205,"licenseFileUrl":222,"sourceHtmlUrl":223,"categories":224,"keywords":229,"publishedAt":40},"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",[225,228],{"categoryNo":226,"categoryName":227,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},[230,231,232,233,152,99,9,121,234,235,216,236,237,238,239,240,241,242,243,244,245,246,107,247,248,249,250],"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"]