[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6PRH34KQ01QVFFXJGGTMPS4":3,"skill-same:01M6PRH34KQ01QVFFXJGGTMPS4":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":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":14,"repositoryHtmlUrl":50,"repositoryHomepageUrl":6,"ownerHtmlUrl":51,"ownerBlogUrl":52,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M6PRH34KQ01QVFFXJGGTMPS4","redis-observability",null,"Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops\u002Fsec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO, MEMORY DOCTOR, CLIENT LIST, FT.PROFILE), and when to use the Redis Insight GUI. Use when setting up monitoring or alerts for a Redis instance, diagnosing a performance regression, profiling a slow FT.SEARCH query, or wiring Redis metrics into Prometheus, Datadog, or similar.","headmktlucca-ui\u002Fneuroads-lp","headmktlucca-ui","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F247379838?v=4","01M6PDVAV6M1W96D1SR1PDF8CS","NeuroAds","01M6PDVAZ4P281GNDKD45CYTF5",0,"MIT","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fredis-observability\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"redis observability","observability","redis","use","wiring","for","which","gui","incident","query","connections","up","memory","ops","regression","search","prometheus","doctor","monitor","performance","2026-11-10 10:12:30",false,"---\nname: redis-observability\ndescription: Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops\u002Fsec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO, MEMORY DOCTOR, CLIENT LIST, FT.PROFILE), and when to use the Redis Insight GUI. Use when setting up monitoring or alerts for a Redis instance, diagnosing a performance regression, profiling a slow FT.SEARCH query, or wiring Redis metrics into Prometheus, Datadog, or similar.\nlicense: MIT\nmetadata:\n  author: Redis, Inc.\n  version: \"0.1.0\"\n---\n\n# Redis Observability\n\nWhat to watch, what to run, and what to alert on. Covers the metrics every Redis deployment should monitor and the built-in commands for ad-hoc diagnosis.\n\n## When to apply\n\n- Setting up monitoring or alerts for a Redis instance.\n- Diagnosing a Redis performance regression (high latency, memory pressure, connection storms).\n- Profiling a slow `FT.SEARCH` or pipeline.\n- Wiring Redis metrics into Prometheus, Datadog, CloudWatch, or similar.\n\n## 1. Monitor these metrics\n\nThese come from `INFO` and should be exported to your monitoring system.\n\n| Metric | What it tells you | Alert when |\n|---|---|---|\n| `used_memory` | Current memory usage | > 80% of `maxmemory` |\n| `connected_clients` | Open connections | Sudden spikes or drops |\n| `blocked_clients` | Clients waiting on blocking ops | > 0 sustained |\n| `instantaneous_ops_per_sec` | Current throughput | Significant drops |\n| `keyspace_hits` \u002F `keyspace_misses` | Cache hit ratio | Hit ratio \u003C 80% |\n| `rejected_connections` | Hit `maxclients` cap | > 0 |\n| `rdb_last_save_time` | Last persistence snapshot | Too old vs. RPO |\n\n```python\ninfo = redis.info()\nhit_ratio = info[\"keyspace_hits\"] \u002F max(1, info[\"keyspace_hits\"] + info[\"keyspace_misses\"])\nprint(f\"Memory:    {info['used_memory_human']}\")\nprint(f\"Clients:   {info['connected_clients']}\")\nprint(f\"Ops\u002Fsec:   {info['instantaneous_ops_per_sec']}\")\nprint(f\"Hit ratio: {hit_ratio:.1%}\")\n```\n\nSee [references\u002Fmetrics.md](references\u002Fmetrics.md).\n\n## 2. Built-in commands for debugging\n\nReach for these when something looks off.\n\n| Topic | Command |\n|---|---|\n| Slow commands | `SLOWLOG GET 10` \u002F `SLOWLOG LEN` \u002F `SLOWLOG RESET` |\n| Server snapshot | `INFO all` (or `INFO memory` \u002F `INFO stats` \u002F `INFO clients` \u002F `INFO replication`) |\n| Memory diagnostics | `MEMORY DOCTOR` \u002F `MEMORY STATS` \u002F `MEMORY USAGE \u003Ckey>` |\n| Connections | `CLIENT LIST` \u002F `CLIENT INFO` |\n| RQE \u002F Search | `FT.INFO \u003Cidx>` \u002F `FT.PROFILE \u003Cidx> SEARCH QUERY \"...\"` |\n\nThe two most useful for incident triage:\n\n- **`SLOWLOG GET`** to find queries that exceeded the `slowlog-log-slower-than` threshold (10ms by default). The output shows the exact command and duration in microseconds.\n- **`MEMORY DOCTOR`** for memory pressure — it returns a one-paragraph summary of what's unusual about memory usage right now.\n\n```python\nfor entry in redis.slowlog_get(10):\n    print(f\"{entry['duration']}μs  {entry['command']}\")\n```\n\nSee [references\u002Fcommands.md](references\u002Fcommands.md).\n\n## 3. Redis Insight\n\nFor interactive use (running queries, browsing keys, profiling indexes), [Redis Insight](https:\u002F\u002Fredis.io\u002Finsight\u002F) is the official GUI. It surfaces the same `SLOWLOG` \u002F `INFO` \u002F `FT.PROFILE` data visually and includes Redis Copilot for natural-language queries. Useful during development and incident response; not a replacement for exporting metrics to your monitoring system.\n\n## References\n\n- [Redis: Latency monitoring](https:\u002F\u002Fredis.io\u002Fdocs\u002Flatest\u002Foperate\u002Foss_and_stack\u002Fmanagement\u002Foptimization\u002Flatency\u002F)\n- [Redis Insight](https:\u002F\u002Fredis.io\u002Finsight\u002F)\n","# Redis Observability\n\nWhat to watch, what to run, and what to alert on. Covers the metrics every Redis deployment should monitor and the built-in commands for ad-hoc diagnosis.\n\n## When to apply\n\n- Setting up monitoring or alerts for a Redis instance.\n- Diagnosing a Redis performance regression (high latency, memory pressure, connection storms).\n- Profiling a slow `FT.SEARCH` or pipeline.\n- Wiring Redis metrics into Prometheus, Datadog, CloudWatch, or similar.\n\n## 1. Monitor these metrics\n\nThese come from `INFO` and should be exported to your monitoring system.\n\n| Metric | What it tells you | Alert when |\n|---|---|---|\n| `used_memory` | Current memory usage | > 80% of `maxmemory` |\n| `connected_clients` | Open connections | Sudden spikes or drops |\n| `blocked_clients` | Clients waiting on blocking ops | > 0 sustained |\n| `instantaneous_ops_per_sec` | Current throughput | Significant drops |\n| `keyspace_hits` \u002F `keyspace_misses` | Cache hit ratio | Hit ratio \u003C 80% |\n| `rejected_connections` | Hit `maxclients` cap | > 0 |\n| `rdb_last_save_time` | Last persistence snapshot | Too old vs. RPO |\n\n```python\ninfo = redis.info()\nhit_ratio = info[\"keyspace_hits\"] \u002F max(1, info[\"keyspace_hits\"] + info[\"keyspace_misses\"])\nprint(f\"Memory:    {info['used_memory_human']}\")\nprint(f\"Clients:   {info['connected_clients']}\")\nprint(f\"Ops\u002Fsec:   {info['instantaneous_ops_per_sec']}\")\nprint(f\"Hit ratio: {hit_ratio:.1%}\")\n```\n\nSee [references\u002Fmetrics.md](references\u002Fmetrics.md).\n\n## 2. Built-in commands for debugging\n\nReach for these when something looks off.\n\n| Topic | Command |\n|---|---|\n| Slow commands | `SLOWLOG GET 10` \u002F `SLOWLOG LEN` \u002F `SLOWLOG RESET` |\n| Server snapshot | `INFO all` (or `INFO memory` \u002F `INFO stats` \u002F `INFO clients` \u002F `INFO replication`) |\n| Memory diagnostics | `MEMORY DOCTOR` \u002F `MEMORY STATS` \u002F `MEMORY USAGE \u003Ckey>` |\n| Connections | `CLIENT LIST` \u002F `CLIENT INFO` |\n| RQE \u002F Search | `FT.INFO \u003Cidx>` \u002F `FT.PROFILE \u003Cidx> SEARCH QUERY \"...\"` |\n\nThe two most useful for incident triage:\n\n- **`SLOWLOG GET`** to find queries that exceeded the `slowlog-log-slower-than` threshold (10ms by default). The output shows the exact command and duration in microseconds.\n- **`MEMORY DOCTOR`** for memory pressure — it returns a one-paragraph summary of what's unusual about memory usage right now.\n\n```python\nfor entry in redis.slowlog_get(10):\n    print(f\"{entry['duration']}μs  {entry['command']}\")\n```\n\nSee [references\u002Fcommands.md](references\u002Fcommands.md).\n\n## 3. Redis Insight\n\nFor interactive use (running queries, browsing keys, profiling indexes), [Redis Insight](https:\u002F\u002Fredis.io\u002Finsight\u002F) is the official GUI. It surfaces the same `SLOWLOG` \u002F `INFO` \u002F `FT.PROFILE` data visually and includes Redis Copilot for natural-language queries. Useful during development and incident response; not a replacement for exporting metrics to your monitoring system.\n\n## References\n\n- [Redis: Latency monitoring](https:\u002F\u002Fredis.io\u002Fdocs\u002Flatest\u002Foperate\u002Foss_and_stack\u002Fmanagement\u002Foptimization\u002Flatency\u002F)\n- [Redis Insight](https:\u002F\u002Fredis.io\u002Finsight\u002F)\n",{"name":5,"license":15,"metadata":44,"description":7},{"author":45,"version":46},"Redis, Inc.","0.1.0","main","7a940b8e5af16c95e5c190a524421d32fc7445a9",".claude\u002Fskills\u002Fredis-observability","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui","https:\u002F\u002Fneuroads.com.br","2026-08-12 00:42:44",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add headmktlucca-ui\u002Fneuroads-lp --skill redis-observability",{"tool":60,"command":61},"bunx","bunx skills add headmktlucca-ui\u002Fneuroads-lp --skill redis-observability",{"tool":63,"command":64},"pnpm","pnpm dlx skills add headmktlucca-ui\u002Fneuroads-lp --skill redis-observability","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fredis-observability\u002FSKILL.md",true,[68,74],{"path":69,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":72,"sourceHtmlUrl":73},"references\u002Fcommands.md","REFERENCE","参考文档",853,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fredis-observability\u002Freferences\u002Fcommands.md",{"path":75,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002Fmetrics.md",1218,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fredis-observability\u002Freferences\u002Fmetrics.md",[79,104,128,154,172,206],{"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":39},"01M6PTDCZTXTGSTX4RFK901YSZ","xunit-skill","Generates xUnit.net tests in C#. Covers Fact\u002FTheory, constructor injection, IClassFixture, and FluentAssertions. Use when user mentions \"xUnit\", \"[Fact]\", \"[Theory]\", \"Assert.Equal\", \"C# xUnit\". Triggers on: \"xUnit\", \"[Fact]\", \"[Theory]\", \"Assert.Equal C#\", \"xUnit.net\".","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fxunit-skill\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",[94,95,96,97,98,22,99,100,101,102,103],"xunit","xunit skill","testing","injection","user","tests","triggers","unit","unit-testing","C#",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":112,"publishedAt":39},"01M6PTCB59ZTG5FTMWGPYEMMBP","xcuitest-skill","Generates XCUITest UI tests for iOS\u002FiPadOS apps in Swift. Apple's native testing framework for reliable, fast UI automation. Supports local simulators and TestMu AI cloud real devices. Use when user mentions \"XCUITest\", \"XCTest\", \"iOS UI test\", \"Swift test\", \"XCUIApplication\". Triggers on: \"XCUITest\", \"XCTest UI\", \"iOS UI test\", \"Swift UI test\", \"XCUIApplication\", \"TestMu\".","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fxcuitest-skill\u002FSKILL.md",[110,111],{"categoryNo":86,"categoryName":87,"taxonomyType":88,"taxonomyTypeDesc":89},{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},[113,114,96,115,116,117,118,119,22,120,121,122,123,124,99,100,125,126,24,127],"xcuitest","xcuitest skill","automation","test","testing framework","ios","devices","mobile","mobile-testing","ui test","local","apple","apps","native","objective",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":132,"categories":133,"keywords":138,"publishedAt":39},"01M6PTATMNTY9NF4J7KSR76YK6","world-builder","Create and manage generative game zones for Dorothy's Pokemon-style world. Use this skill when creating, updating, or designing game worlds via MCP tools.","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fworld-builder\u002FSKILL.md",[134,137],{"categoryNo":135,"categoryName":136,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},[139,140,141,142,143,144,145,146,22,147,148,149,150,151,152,24,153],"builder","world","world builder","MCP","create","mcp tools","Tools","game","pokemon","manage","style","via","theme","zone","generative",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":162,"publishedAt":39},"01M6PT9Z92JTSQEHE1QR0NNW5F","webdriverio-skill","Generates WebdriverIO (WDIO) automation tests in JavaScript or TypeScript. Supports local and TestMu AI cloud. Use when user mentions \"WebdriverIO\", \"WDIO\", \"wdio.conf\", \"browser.url\", \"$\", \"$$\". Triggers on: \"WebdriverIO\", \"WDIO\", \"wdio\", \"browser.$\".","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fwebdriverio-skill\u002FSKILL.md",[160,161],{"categoryNo":86,"categoryName":87,"taxonomyType":88,"taxonomyTypeDesc":89},{"categoryNo":91,"categoryName":92,"taxonomyType":88,"taxonomyTypeDesc":89},[163,96,164,115,165,166,167,168,98,22,169,123,99,100,170,171],"webdriverio skill","typescript","javascript","browser","cloud","e2e","e2e-testing","URL","conf",{"skillNo":173,"name":174,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":187,"publishedAt":39},"01M6PT9NVK36ZWCQ69YXK3FR4K","web-design-guidelines","Web platform design and accessibility guidelines. Use when building web interfaces, auditing accessibility, implementing responsive layouts, or reviewing web UI code. Triggers on tasks involving HTML, CSS, web components, WCAG compliance, responsive design, or web performance.","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fweb\u002FSKILL.md",[178,181,182],{"categoryNo":179,"categoryName":180,"taxonomyType":88,"taxonomyTypeDesc":89},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":135,"categoryName":136,"taxonomyType":88,"taxonomyTypeDesc":89},{"categoryNo":183,"categoryName":184,"taxonomyType":185,"taxonomyTypeDesc":186},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[188,189,190,191,192,193,38,194,195,196,197,198,199,200,201,202,203,204,100,205],"design","web","guidelines","web design guidelines","web design","css","components","web components","tasks","code","web performance","ui","platform design","html","responsive design","responsive","platform","implementing",{"skillNo":207,"name":208,"nameZh":6,"description":209,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":210,"categories":211,"keywords":214,"publishedAt":39},"01M6PT9A3JKRE3X34276F2FW5R","watchos-design-guidelines","Apple Human Interface Guidelines for Apple Watch. Use when building watchOS apps, complications, or workout features. Triggers on tasks involving Watch UI, Digital Crown, glanceable interfaces, or wrist-based interactions.","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fwatchos\u002FSKILL.md",[212,213],{"categoryNo":135,"categoryName":136,"taxonomyType":88,"taxonomyTypeDesc":89},{"categoryNo":183,"categoryName":184,"taxonomyType":185,"taxonomyTypeDesc":186},[188,190,215,196,199,22,216,217,124,204,218,100,125,219,24,220,221],"watchos design guidelines","workout","human","watch","interface","platform-design","features"]