[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71HB1CGHATVPCQFD01HXDCH":3,"skill-same:01M71HB1CGHATVPCQFD01HXDCH":81},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":29,"linkOnly":30,"markdownContent":31,"markdownBody":32,"frontMatter":33,"refName":34,"commitSha":35,"skillDirectory":36,"forksCount":37,"repositoryHtmlUrl":38,"repositoryHomepageUrl":6,"ownerHtmlUrl":39,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":40,"install":41,"resources":54},"01M71HB1CGHATVPCQFD01HXDCH","spl-to-apl",null,"Translates Splunk SPL queries to Axiom APL. Provides command mappings, function equivalents, and syntax transformations. Use when migrating from Splunk, converting SPL queries, or learning APL equivalents of SPL patterns.","JSGforever\u002Fskillguard","JSGforever","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F85541948?v=4","01M71FQD3E132VMR5F4TAYX3YS","01M71FQD4DYW0XJ4XQ4YQH75Y9",2,"GPL-3.0","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__axiomhq--spl-to-apl\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28],"spl to apl","SPL","learning","use","when","queries","splunk","command","axiom","syntax","patterns","2026-11-10 10:12:30",false,"---\nname: spl-to-apl\ndescription: Translates Splunk SPL queries to Axiom APL. Provides command mappings, function equivalents, and syntax transformations. Use when migrating from Splunk, converting SPL queries, or learning APL equivalents of SPL patterns.\n---\n\n# SPL to APL Translator\n\n**Type safety:** Fields like status are often stored as strings. Always cast before numeric comparison: toint(status) >= 500, not status >= 500.\n\n---\n\n## Critical Differences\n\n1. **Time is explicit in APL:** SPL time pickers don't translate — add `where _time between (ago(1h) .. now())`\n2. **Structure:** SPL `index=... | command` → APL `['dataset'] | operator`\n3. **Join is preview:** limited to 50k rows, inner\u002Finnerunique\u002Fleftouter only\n4. **cidrmatch args reversed:** SPL `cidrmatch(cidr, ip)` → APL `ipv4_is_in_range(ip, cidr)`\n\n---\n\n## Core Command Mappings\n\n| SPL | APL | Notes |\n|-----|-----|-------|\n| `search index=...` | `['dataset']` | Dataset replaces index |\n| `search field=value` | `where field == \"value\"` | Explicit where |\n| `where` | `where` | Same |\n| `stats` | `summarize` | Different aggregation syntax |\n| `eval` | `extend` | Create\u002Fmodify fields |\n| `table` \u002F `fields` | `project` | Select columns |\n| `fields -` | `project-away` | Remove columns |\n| `rename x as y` | `project-rename y = x` | Rename |\n| `sort` \u002F `sort -` | `order by ... asc\u002Fdesc` | Sort |\n| `head N` | `take N` | Limit rows |\n| `top N field` | `summarize count() by field \\| top N by count_` | Two-step |\n| `dedup field` | `summarize arg_max(_time, *) by field` | Keep latest |\n| `rex` | `parse` or `extract()` | Regex extraction |\n| `join` | `join` | **Preview feature** |\n| `append` | `union` | Combine datasets |\n| `mvexpand` | `mv-expand` | Expand arrays |\n| `timechart span=X` | `summarize ... by bin(_time, X)` | Manual binning |\n| `rare N field` | `summarize count() by field \\| order by count_ asc \\| take N` | Bottom N |\n| `spath` | `parse_json()` or `json['path']` | JSON access |\n| `transaction` | No direct equivalent | Use summarize + make_list |\n\nComplete mappings: `reference\u002Fcommand-mapping.md`\n\n---\n\n## Stats → Summarize\n\n```\n# SPL\n| stats count by status\n\n# APL  \n| summarize count() by status\n```\n\n### Key function mappings\n\n| SPL | APL |\n|-----|-----|\n| `count` | `count()` |\n| `count(field)` | `countif(isnotnull(field))` |\n| `dc(field)` | `dcount(field)` |\n| `avg\u002Fsum\u002Fmin\u002Fmax` | Same |\n| `median(field)` | `percentile(field, 50)` |\n| `perc95(field)` | `percentile(field, 95)` |\n| `first\u002Flast` | `arg_min\u002Farg_max(_time, field)` |\n| `list(field)` | `make_list(field)` |\n| `values(field)` | `make_set(field)` |\n\n### Conditional count pattern\n\n```\n# SPL\n| stats count(eval(status>=500)) as errors by host\n\n# APL\n| summarize errors = countif(status >= 500) by host\n```\n\nComplete function list: `reference\u002Ffunction-mapping.md`\n\n---\n\n## Eval → Extend\n\n```\n# SPL\n| eval new_field = old_field * 2\n\n# APL\n| extend new_field = old_field * 2\n```\n\n### Key function mappings\n\n| SPL | APL | Notes |\n|-----|-----|-------|\n| `if(c, t, f)` | `iff(c, t, f)` | Double 'f' |\n| `case(c1,v1,...)` | `case(c1,v1,...,default)` | Requires default |\n| `len(str)` | `strlen(str)` | |\n| `lower\u002Fupper` | `tolower\u002Ftoupper` | |\n| `substr` | `substring` | 0-indexed in APL |\n| `replace` | `replace_string` | |\n| `tonumber` | `toint\u002Ftolong\u002Ftoreal` | Explicit types |\n| `match(s,r)` | `s matches regex \"r\"` | Operator |\n| `split(s, d)` | `split(s, d)` | Same |\n| `mvjoin(mv, d)` | `strcat_array(arr, d)` | Join array |\n| `mvcount(mv)` | `array_length(arr)` | Array length |\n\n### Case statement pattern\n\n```\n# SPL\n| eval level = case(\n    status >= 500, \"error\",\n    status >= 400, \"warning\",\n    1==1, \"ok\"\n  )\n\n# APL  \n| extend level = case(\n    status >= 500, \"error\",\n    status >= 400, \"warning\",\n    \"ok\"\n  )\n```\n\nNote: SPL's `1==1` catch-all becomes implicit default in APL.\n\n---\n\n## Rex → Parse\u002FExtract\n\n```\n# SPL\n| rex field=message \"user=(?\u003Cusername>\\w+)\"\n\n# APL - parse with regex\n| parse kind=regex message with @\"user=(?P\u003Cusername>\\w+)\"\n\n# APL - extract function  \n| extend username = extract(\"user=(\\\\w+)\", 1, message)\n```\n\n### Simple pattern (non-regex)\n\n```\n# SPL\n| rex field=uri \"^\u002Fapi\u002F(?\u003Cversion>v\\d+)\u002F(?\u003Cendpoint>\\w+)\"\n\n# APL\n| parse uri with \"\u002Fapi\u002F\" version \"\u002F\" endpoint\n```\n\n---\n\n## Time Handling\n\nSPL time pickers don't translate. Always add explicit time range:\n\n```\n# SPL (time picker: Last 24 hours)\nindex=logs\n\n# APL\n['logs'] | where _time between (ago(24h) .. now())\n```\n\n### Timechart translation\n\n```\n# SPL\n| timechart span=5m count by status\n\n# APL\n| summarize count() by bin(_time, 5m), status\n```\n\n---\n\n## Common Patterns\n\n### Error rate calculation\n\n```\n# SPL\n| stats count(eval(status>=500)) as errors, count as total by host\n| eval error_rate = errors\u002Ftotal*100\n\n# APL\n| summarize errors = countif(status >= 500), total = count() by host\n| extend error_rate = toreal(errors) \u002F total * 100\n```\n\n### Subquery (subsearch)\n\n```\n# SPL\nindex=logs [search index=errors | fields user_id | format]\n\n# APL\nlet error_users = ['errors'] | where _time between (ago(1h) .. now()) | distinct user_id;\n['logs']\n| where _time between (ago(1h) .. now())\n| where user_id in (error_users)\n```\n\n### Join datasets\n\n```\n# SPL\n| join user_id [search index=users | fields user_id, name]\n\n# APL\n| join kind=inner (['users'] | project user_id, name) on user_id\n```\n\n### Transaction-like grouping\n\n```\n# SPL\n| transaction session_id maxspan=30m\n\n# APL (no direct equivalent — reconstruct with summarize)\n| summarize \n    start_time = min(_time),\n    end_time = max(_time),\n    events = make_list(pack(\"time\", _time, \"action\", action)),\n    duration = max(_time) - min(_time)\n  by session_id\n| where duration \u003C= 30m\n```\n\n---\n\n## String Matching Performance\n\n| SPL | APL | Speed |\n|-----|-----|-------|\n| `field=\"value\"` | `field == \"value\"` | **Fastest** |\n| `field=\"*value*\"` | `field contains \"value\"` | Moderate |\n| `field=\"value*\"` | `field startswith \"value\"` | Fast |\n| `match(field, regex)` | `field matches regex \"...\"` | **Slowest** |\n\nPrefer `has` over `contains` (word-boundary matching is faster). Use `_cs` variants for case-sensitive (faster).\n\n---\n\n## Reference\n\n- `reference\u002Fcommand-mapping.md` — complete command list\n- `reference\u002Ffunction-mapping.md` — complete function list  \n- `reference\u002Fexamples.md` — full query translation examples\n- APL docs: https:\u002F\u002Faxiom.co\u002Fdocs\u002Fapl\u002Fintroduction\n\n","# SPL to APL Translator\n\n**Type safety:** Fields like status are often stored as strings. Always cast before numeric comparison: toint(status) >= 500, not status >= 500.\n\n---\n\n## Critical Differences\n\n1. **Time is explicit in APL:** SPL time pickers don't translate — add `where _time between (ago(1h) .. now())`\n2. **Structure:** SPL `index=... | command` → APL `['dataset'] | operator`\n3. **Join is preview:** limited to 50k rows, inner\u002Finnerunique\u002Fleftouter only\n4. **cidrmatch args reversed:** SPL `cidrmatch(cidr, ip)` → APL `ipv4_is_in_range(ip, cidr)`\n\n---\n\n## Core Command Mappings\n\n| SPL | APL | Notes |\n|-----|-----|-------|\n| `search index=...` | `['dataset']` | Dataset replaces index |\n| `search field=value` | `where field == \"value\"` | Explicit where |\n| `where` | `where` | Same |\n| `stats` | `summarize` | Different aggregation syntax |\n| `eval` | `extend` | Create\u002Fmodify fields |\n| `table` \u002F `fields` | `project` | Select columns |\n| `fields -` | `project-away` | Remove columns |\n| `rename x as y` | `project-rename y = x` | Rename |\n| `sort` \u002F `sort -` | `order by ... asc\u002Fdesc` | Sort |\n| `head N` | `take N` | Limit rows |\n| `top N field` | `summarize count() by field \\| top N by count_` | Two-step |\n| `dedup field` | `summarize arg_max(_time, *) by field` | Keep latest |\n| `rex` | `parse` or `extract()` | Regex extraction |\n| `join` | `join` | **Preview feature** |\n| `append` | `union` | Combine datasets |\n| `mvexpand` | `mv-expand` | Expand arrays |\n| `timechart span=X` | `summarize ... by bin(_time, X)` | Manual binning |\n| `rare N field` | `summarize count() by field \\| order by count_ asc \\| take N` | Bottom N |\n| `spath` | `parse_json()` or `json['path']` | JSON access |\n| `transaction` | No direct equivalent | Use summarize + make_list |\n\nComplete mappings: `reference\u002Fcommand-mapping.md`\n\n---\n\n## Stats → Summarize\n\n```\n# SPL\n| stats count by status\n\n# APL  \n| summarize count() by status\n```\n\n### Key function mappings\n\n| SPL | APL |\n|-----|-----|\n| `count` | `count()` |\n| `count(field)` | `countif(isnotnull(field))` |\n| `dc(field)` | `dcount(field)` |\n| `avg\u002Fsum\u002Fmin\u002Fmax` | Same |\n| `median(field)` | `percentile(field, 50)` |\n| `perc95(field)` | `percentile(field, 95)` |\n| `first\u002Flast` | `arg_min\u002Farg_max(_time, field)` |\n| `list(field)` | `make_list(field)` |\n| `values(field)` | `make_set(field)` |\n\n### Conditional count pattern\n\n```\n# SPL\n| stats count(eval(status>=500)) as errors by host\n\n# APL\n| summarize errors = countif(status >= 500) by host\n```\n\nComplete function list: `reference\u002Ffunction-mapping.md`\n\n---\n\n## Eval → Extend\n\n```\n# SPL\n| eval new_field = old_field * 2\n\n# APL\n| extend new_field = old_field * 2\n```\n\n### Key function mappings\n\n| SPL | APL | Notes |\n|-----|-----|-------|\n| `if(c, t, f)` | `iff(c, t, f)` | Double 'f' |\n| `case(c1,v1,...)` | `case(c1,v1,...,default)` | Requires default |\n| `len(str)` | `strlen(str)` | |\n| `lower\u002Fupper` | `tolower\u002Ftoupper` | |\n| `substr` | `substring` | 0-indexed in APL |\n| `replace` | `replace_string` | |\n| `tonumber` | `toint\u002Ftolong\u002Ftoreal` | Explicit types |\n| `match(s,r)` | `s matches regex \"r\"` | Operator |\n| `split(s, d)` | `split(s, d)` | Same |\n| `mvjoin(mv, d)` | `strcat_array(arr, d)` | Join array |\n| `mvcount(mv)` | `array_length(arr)` | Array length |\n\n### Case statement pattern\n\n```\n# SPL\n| eval level = case(\n    status >= 500, \"error\",\n    status >= 400, \"warning\",\n    1==1, \"ok\"\n  )\n\n# APL  \n| extend level = case(\n    status >= 500, \"error\",\n    status >= 400, \"warning\",\n    \"ok\"\n  )\n```\n\nNote: SPL's `1==1` catch-all becomes implicit default in APL.\n\n---\n\n## Rex → Parse\u002FExtract\n\n```\n# SPL\n| rex field=message \"user=(?\u003Cusername>\\w+)\"\n\n# APL - parse with regex\n| parse kind=regex message with @\"user=(?P\u003Cusername>\\w+)\"\n\n# APL - extract function  \n| extend username = extract(\"user=(\\\\w+)\", 1, message)\n```\n\n### Simple pattern (non-regex)\n\n```\n# SPL\n| rex field=uri \"^\u002Fapi\u002F(?\u003Cversion>v\\d+)\u002F(?\u003Cendpoint>\\w+)\"\n\n# APL\n| parse uri with \"\u002Fapi\u002F\" version \"\u002F\" endpoint\n```\n\n---\n\n## Time Handling\n\nSPL time pickers don't translate. Always add explicit time range:\n\n```\n# SPL (time picker: Last 24 hours)\nindex=logs\n\n# APL\n['logs'] | where _time between (ago(24h) .. now())\n```\n\n### Timechart translation\n\n```\n# SPL\n| timechart span=5m count by status\n\n# APL\n| summarize count() by bin(_time, 5m), status\n```\n\n---\n\n## Common Patterns\n\n### Error rate calculation\n\n```\n# SPL\n| stats count(eval(status>=500)) as errors, count as total by host\n| eval error_rate = errors\u002Ftotal*100\n\n# APL\n| summarize errors = countif(status >= 500), total = count() by host\n| extend error_rate = toreal(errors) \u002F total * 100\n```\n\n### Subquery (subsearch)\n\n```\n# SPL\nindex=logs [search index=errors | fields user_id | format]\n\n# APL\nlet error_users = ['errors'] | where _time between (ago(1h) .. now()) | distinct user_id;\n['logs']\n| where _time between (ago(1h) .. now())\n| where user_id in (error_users)\n```\n\n### Join datasets\n\n```\n# SPL\n| join user_id [search index=users | fields user_id, name]\n\n# APL\n| join kind=inner (['users'] | project user_id, name) on user_id\n```\n\n### Transaction-like grouping\n\n```\n# SPL\n| transaction session_id maxspan=30m\n\n# APL (no direct equivalent — reconstruct with summarize)\n| summarize \n    start_time = min(_time),\n    end_time = max(_time),\n    events = make_list(pack(\"time\", _time, \"action\", action)),\n    duration = max(_time) - min(_time)\n  by session_id\n| where duration \u003C= 30m\n```\n\n---\n\n## String Matching Performance\n\n| SPL | APL | Speed |\n|-----|-----|-------|\n| `field=\"value\"` | `field == \"value\"` | **Fastest** |\n| `field=\"*value*\"` | `field contains \"value\"` | Moderate |\n| `field=\"value*\"` | `field startswith \"value\"` | Fast |\n| `match(field, regex)` | `field matches regex \"...\"` | **Slowest** |\n\nPrefer `has` over `contains` (word-boundary matching is faster). Use `_cs` variants for case-sensitive (faster).\n\n---\n\n## Reference\n\n- `reference\u002Fcommand-mapping.md` — complete command list\n- `reference\u002Ffunction-mapping.md` — complete function list  \n- `reference\u002Fexamples.md` — full query translation examples\n- APL docs: https:\u002F\u002Faxiom.co\u002Fdocs\u002Fapl\u002Fintroduction\n\n",{"name":5,"description":7},"main","f2ec4b3b9133d34eeaf9b38e4b0a97e8e5705a7f","benchmarks\u002Ffinal\u002Fskills\u002Fasset1__axiomhq--spl-to-apl",0,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard","https:\u002F\u002Fgithub.com\u002FJSGforever","2026-08-29 18:27:56",{"source":8,"skillName":5,"commands":42,"prompt":52,"zipAvailable":53},[43,46,49],{"tool":44,"command":45},"npx","npx skills add JSGforever\u002Fskillguard --skill spl-to-apl",{"tool":47,"command":48},"bunx","bunx skills add JSGforever\u002Fskillguard --skill spl-to-apl",{"tool":50,"command":51},"pnpm","pnpm dlx skills add JSGforever\u002Fskillguard --skill spl-to-apl","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__axiomhq--spl-to-apl\u002FSKILL.md",true,[55,61,65,69,73,77],{"path":56,"resourceType":57,"resourceTypeDesc":58,"sizeBytes":59,"sourceHtmlUrl":60},"README.md","REFERENCE","参考文档",2028,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__axiomhq--spl-to-apl\u002FREADME.md",{"path":62,"resourceType":57,"resourceTypeDesc":58,"sizeBytes":63,"sourceHtmlUrl":64},"reference\u002Fcommand-mapping.md",7487,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__axiomhq--spl-to-apl\u002Freference\u002Fcommand-mapping.md",{"path":66,"resourceType":57,"resourceTypeDesc":58,"sizeBytes":67,"sourceHtmlUrl":68},"reference\u002Fdataset-schemas.md",1338,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__axiomhq--spl-to-apl\u002Freference\u002Fdataset-schemas.md",{"path":70,"resourceType":57,"resourceTypeDesc":58,"sizeBytes":71,"sourceHtmlUrl":72},"reference\u002Fexamples.md",10527,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__axiomhq--spl-to-apl\u002Freference\u002Fexamples.md",{"path":74,"resourceType":57,"resourceTypeDesc":58,"sizeBytes":75,"sourceHtmlUrl":76},"reference\u002Ffunction-mapping.md",11321,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__axiomhq--spl-to-apl\u002Freference\u002Ffunction-mapping.md",{"path":78,"resourceType":57,"resourceTypeDesc":58,"sizeBytes":79,"sourceHtmlUrl":80},"tests\u002Ftest-queries.md",4429,"https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__axiomhq--spl-to-apl\u002Ftests\u002Ftest-queries.md",[82,113,129,156,178,199],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":93,"publishedAt":29},"01M71HY2SNXBA9Q00WZDTZQ31Z","skillguard-codex-scanner","Hybrid deterministic+LLM agent-skill security scanner. Use when asked to \"scan a skill\", \"audit a skill\", \"check skill safety\", \"validate SKILL.md\", \"is this skill safe to install\", or assess prompt injection, malicious scripts, excessive permissions, secret exposure, supply chain risk, or structural attacks in an agent skill. Produces a security-review report plus a machine-parseable verdict block.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fsrc\u002Fskillguard\u002Fstatic_scanner\u002Fskillguard-codex-scanner\u002FSKILL.md",[88],{"categoryNo":89,"categoryName":90,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[94,95,96,97,98,99,100,101,102,103,104,105,22,106,107,108,109,110,111,112],"scanner","skillguard codex scanner","skillguard","codex","chain","skill security","security-review","review report","structural","secret","prompt injection","security scanner","review","malicious","permissions","exposure","audit","scripts","safe",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":117,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":125,"publishedAt":29},"01M71HY0SPKTT3S27BC2HPAC5M","data-exfiltrator","Analyzes data files","MIT","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Fsmoke-one-skill\u002Fasset1__cisco-ai-defense--data-exfiltrator\u002FSKILL.md",[120],{"categoryNo":121,"categoryName":122,"taxonomyType":123,"taxonomyTypeDesc":124},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[126,127,128],"data","data exfiltrator","files",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":135,"publishedAt":29},"01M71HXVS9EMN44BGDW215FZ72","real-time-collaboration-engine","Build real-time collaborative editing with WebSockets, OT\u002FCRDT conflict resolution, and presence awareness. Implements cursor tracking, optimistic updates, and offline sync. Use for collaborative editors, whiteboards, video editing. Activate on \"real-time collaboration\", \"WebSocket sync\", \"multiplayer editing\", \"CRDT\", \"presence awareness\". NOT for simple chat, request-response APIs, or single-user apps.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--real-time-collaboration-engine\u002FSKILL.md",[],[136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155],"time","real time collaboration engine","real time collaboration","collaboration","engine","real time","Video","reliability","video editing","performance","conflict resolution","presence","access","apps","updates","Bash","activate","optimizer","react","streaming",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":165,"publishedAt":29},"01M71HXP6CTY4KFN0QVMMN0V7J","react-performance-optimizer","Optimize React apps for 60fps performance. Implements memoization, virtualization, code splitting, bundle optimization. Use for slow renders, large lists, bundle bloat. Activate on \"React performance\", \"slow render\", \"useMemo\", \"bundle size\", \"virtualization\". NOT for backend optimization, non-React frameworks, or premature optimization.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--react-performance-optimizer\u002FSKILL.md",[162],{"categoryNo":163,"categoryName":164,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000009","前端开发",[145,166,153,154,167,168,169,170,171,172,136,173,174,149,151,175,152,155,176,177],"react performance optimizer","react performance","performance optimizer","app","nextjs","expert","re","render","2025","code","router","strategies",{"skillNo":179,"name":180,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":185,"publishedAt":29},"01M71HXH7QXSQB4QTDZ7SP7YXQ","llm-streaming-response-handler","Build production LLM streaming UIs with Server-Sent Events, real-time token display, cancellation, error recovery. Handles OpenAI\u002FAnthropic\u002FClaude streaming APIs. Use for chatbots, AI assistants, real-time text generation. Activate on \"LLM streaming\", \"SSE\", \"token stream\", \"chat UI\", \"real-time AI\". NOT for batch processing, non-streaming APIs, or WebSocket bidirectional chat.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--llm-streaming-response-handler\u002FSKILL.md",[184],{"categoryNo":163,"categoryName":164,"taxonomyType":91,"taxonomyTypeDesc":92},[186,155,187,188,189,190,145,136,191,192,193,151,152,153,194,154,195,196,197,198],"llm streaming response handler","handler","error","processing","retry","chat ui","error recovery","critical","batch","display","text","server","read",{"skillNo":200,"name":201,"nameZh":6,"description":202,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":203,"categories":204,"keywords":212,"publishedAt":29},"01M71HXCB0E1YRKYW1Y8T0Y106","github-actions-pipeline-builder","Build production CI\u002FCD pipelines with GitHub Actions. Implements matrix builds, caching, deployments, testing, security scanning. Use for automated testing, deployments, release workflows. Activate on \"GitHub Actions\", \"CI\u002FCD\", \"workflow\", \"deployment pipeline\", \"automated testing\". NOT for Jenkins\u002FCircleCI, manual deployments, or non-GitHub repositories.","https:\u002F\u002Fgithub.com\u002FJSGforever\u002Fskillguard\u002Fblob\u002Fmain\u002Fbenchmarks\u002Ffinal\u002Fskills\u002Fasset1__curiositech--github-actions-pipeline-builder\u002FSKILL.md",[205,208,211],{"categoryNo":206,"categoryName":207,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":209,"categoryName":210,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":89,"categoryName":90,"taxonomyType":91,"taxonomyTypeDesc":92},[213,214,215,216,217,218,219,143,171,220,221,222,152,177,223,198,224,225,226,227],"github actions pipeline builder","actions","github actions","pipeline builder","github","builder","pipeline","testing","ci","workflows","run","release","write","edit","git"]