[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FBVFJ008FEMYTP6PT7VRW2":3,"skill-same:01M6FBVFJ008FEMYTP6PT7VRW2":73},{"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":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":29,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":6,"ownerHtmlUrl":57,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":58,"install":59,"resources":72},"01M6FBVFJ008FEMYTP6PT7VRW2","sre-dashboards",null,"Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services.","boisenoise\u002Fskills-collections","boisenoise","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F193180?v=4","01M6CDBDQK6BDN55ZMA6B6PKBM","01M6CDBDVSJ3JPTBYN26FZ7TZK",12,"MIT","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-sre-dashboards\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"sre dashboards","dashboards","sre","only","2026","relevant","error","scripts","critical","signals","across","main","community","design","saturation","reliability","access","devops-security","kubectl","ci","git","2026-11-10 10:12:30",false,"---\nname: sre-dashboards\ndescription: Design and operationalize SRE dashboards that surface reliability, latency,\n  error, saturation, and capacity signals across services.\ncategory: devops\nrisk: critical\nsource: https:\u002F\u002Fgithub.com\u002FBagelHole\u002FDevOps-Security-Agent-Skills\nsource_repo: BagelHole\u002FDevOps-Security-Agent-Skills\nsource_type: community\ndate_added: '2026-09-20'\nlicense: MIT\nlicense_source: https:\u002F\u002Fgithub.com\u002FBagelHole\u002FDevOps-Security-Agent-Skills\u002Fblob\u002Fmain\u002FLICENSE\ncompatibility: Requires the relevant platform CLIs (kubectl, helm, terraform, git,\n  CI runners) and authorized access to the target environment. Docs-only; helper scripts\n  and templates not bundled.\nmetadata:\n  author: devops-skills\n  version: '1.0'\n---\n\n# SRE Dashboards\n\nBuild dashboards that help teams detect, triage, and prevent reliability incidents.\n\n## When to Use This Skill\n\nUse this skill when:\n- Defining service-level dashboards for production systems\n- Tracking SLO health and error-budget burn\n- Creating incident command-center views\n- Standardizing dashboard patterns across teams\n\n## Prerequisites\n\n- Metrics pipeline (Prometheus, OpenTelemetry, or vendor equivalent)\n- Logs\u002Ftraces linked to services and environments\n- Agreed service taxonomy (team, service, tier, environment)\n\n## Dashboard Architecture\n\nStructure dashboards in layers:\n\n1. **Executive Reliability View**: SLO attainment, incident counts, MTTR trends.\n2. **Service Health View**: RED\u002FUSE metrics, dependency health, release markers.\n3. **Deep-Dive View**: Per-endpoint latency, resource saturation, error categories.\n\nKeep each view answer-oriented:\n- *Are customers impacted?*\n- *What changed?*\n- *Where is the bottleneck?*\n\n## Core SRE Panels\n\n### Golden Signals\n\n- **Latency**: p50\u002Fp95\u002Fp99 request duration by endpoint\n- **Traffic**: request throughput and queue depth\n- **Errors**: 5xx rate, failed jobs, timeout ratio\n- **Saturation**: CPU, memory, disk I\u002FO, thread\u002Fconnection pool exhaustion\n\n### SLO Panels\n\n- Current SLI value (rolling windows: 5m, 1h, 24h, 30d)\n- Error-budget remaining (%)\n- Burn-rate panels (fast and slow windows)\n- Multi-window burn alert status\n\n### Change Correlation\n\n- Deployment markers and config-change annotations\n- Feature flag state overlays\n- Upstream\u002Fdownstream dependency error rates\n\n## Example PromQL Snippets\n\n```promql\n# API error rate (%)\n100 * sum(rate(http_requests_total{status=~\"5..\"}[5m]))\n  \u002F sum(rate(http_requests_total[5m]))\n```\n\n```promql\n# p95 latency by route\nhistogram_quantile(0.95,\n  sum by (le, route) (rate(http_request_duration_seconds_bucket[5m]))\n)\n```\n\n```promql\n# 5-minute burn rate for an illustrative 99.9% availability SLO\n(\n  sum(rate(http_requests_total{status=~\"5..\"}[5m]))\n  \u002F sum(rate(http_requests_total[5m]))\n) \u002F (1 - 0.999)\n```\n\nBurn rate divides the bad-event ratio by the allowed bad-event ratio `(1 - SLO)`, not by another window’s observed errors. Compute the 1h window separately and combine short\u002Flong threshold conditions for an alert. Scope both numerator and denominator to the same service\u002Fenvironment; distinguish missing\u002Fno-traffic data from healthy zero errors. See [Google SRE alerting guidance](https:\u002F\u002Fsre.google\u002Fworkbook\u002Falerting-on-slos\u002F).\n\n## Operational Guidelines\n\n- Use consistent color semantics (green=healthy, yellow=degrading, red=breach)\n- Label units explicitly (ms, req\u002Fs, %, cores)\n- Default time windows to incident-friendly ranges (15m, 1h, 6h, 24h)\n- Minimize panel count per dashboard to reduce cognitive load\n- Add runbook links directly in panel descriptions\n\n## Troubleshooting\n\n### Panel appears flat or empty\n\n- Verify label cardinality and filters (`service`, `env`, `region`)\n- Confirm scrape\u002Fingest latency is within expected range\n- Check metric rename regressions after instrumentation updates\n\n### High cardinality slows dashboards\n\n- Aggregate by stable dimensions (`service`, `route_group`) instead of raw IDs\n- Use recording rules for expensive percentile and ratio queries\n- Split deep-dive dashboards from NOC summary dashboards\n\n## Related Skills\n\n- prometheus-grafana (`prometheus-grafana`) - Dashboard implementation and PromQL\n- opentelemetry (`opentelemetry`) - Standardized telemetry instrumentation\n- alerting-oncall (`alerting-oncall`) - Reliability alert routing and escalation\n- agent-observability (`agent-observability`) - AI workload reliability telemetry\n\n## Limitations\n\n- Guidance executes against real environments: confirm target, blast radius, and rollback plan before applying anything.\n- Never deploy to production without explicit approval. Docs-only import: upstream scripts and templates not bundled.\n\n### Example\n\n```bash\ngit status && git diff --stat\nkubectl diff -f manifest.yaml\n```\n\n> Adapted from [BagelHole\u002FDevOps-Security-Agent-Skills](https:\u002F\u002Fgithub.com\u002FBagelHole\u002FDevOps-Security-Agent-Skills) (MIT); frontmatter, When to Use\u002FLimitations, and safety boundaries added for upstream compliance. Docs-only import: helper scripts and templates not bundled.\n","# SRE Dashboards\n\nBuild dashboards that help teams detect, triage, and prevent reliability incidents.\n\n## When to Use This Skill\n\nUse this skill when:\n- Defining service-level dashboards for production systems\n- Tracking SLO health and error-budget burn\n- Creating incident command-center views\n- Standardizing dashboard patterns across teams\n\n## Prerequisites\n\n- Metrics pipeline (Prometheus, OpenTelemetry, or vendor equivalent)\n- Logs\u002Ftraces linked to services and environments\n- Agreed service taxonomy (team, service, tier, environment)\n\n## Dashboard Architecture\n\nStructure dashboards in layers:\n\n1. **Executive Reliability View**: SLO attainment, incident counts, MTTR trends.\n2. **Service Health View**: RED\u002FUSE metrics, dependency health, release markers.\n3. **Deep-Dive View**: Per-endpoint latency, resource saturation, error categories.\n\nKeep each view answer-oriented:\n- *Are customers impacted?*\n- *What changed?*\n- *Where is the bottleneck?*\n\n## Core SRE Panels\n\n### Golden Signals\n\n- **Latency**: p50\u002Fp95\u002Fp99 request duration by endpoint\n- **Traffic**: request throughput and queue depth\n- **Errors**: 5xx rate, failed jobs, timeout ratio\n- **Saturation**: CPU, memory, disk I\u002FO, thread\u002Fconnection pool exhaustion\n\n### SLO Panels\n\n- Current SLI value (rolling windows: 5m, 1h, 24h, 30d)\n- Error-budget remaining (%)\n- Burn-rate panels (fast and slow windows)\n- Multi-window burn alert status\n\n### Change Correlation\n\n- Deployment markers and config-change annotations\n- Feature flag state overlays\n- Upstream\u002Fdownstream dependency error rates\n\n## Example PromQL Snippets\n\n```promql\n# API error rate (%)\n100 * sum(rate(http_requests_total{status=~\"5..\"}[5m]))\n  \u002F sum(rate(http_requests_total[5m]))\n```\n\n```promql\n# p95 latency by route\nhistogram_quantile(0.95,\n  sum by (le, route) (rate(http_request_duration_seconds_bucket[5m]))\n)\n```\n\n```promql\n# 5-minute burn rate for an illustrative 99.9% availability SLO\n(\n  sum(rate(http_requests_total{status=~\"5..\"}[5m]))\n  \u002F sum(rate(http_requests_total[5m]))\n) \u002F (1 - 0.999)\n```\n\nBurn rate divides the bad-event ratio by the allowed bad-event ratio `(1 - SLO)`, not by another window’s observed errors. Compute the 1h window separately and combine short\u002Flong threshold conditions for an alert. Scope both numerator and denominator to the same service\u002Fenvironment; distinguish missing\u002Fno-traffic data from healthy zero errors. See [Google SRE alerting guidance](https:\u002F\u002Fsre.google\u002Fworkbook\u002Falerting-on-slos\u002F).\n\n## Operational Guidelines\n\n- Use consistent color semantics (green=healthy, yellow=degrading, red=breach)\n- Label units explicitly (ms, req\u002Fs, %, cores)\n- Default time windows to incident-friendly ranges (15m, 1h, 6h, 24h)\n- Minimize panel count per dashboard to reduce cognitive load\n- Add runbook links directly in panel descriptions\n\n## Troubleshooting\n\n### Panel appears flat or empty\n\n- Verify label cardinality and filters (`service`, `env`, `region`)\n- Confirm scrape\u002Fingest latency is within expected range\n- Check metric rename regressions after instrumentation updates\n\n### High cardinality slows dashboards\n\n- Aggregate by stable dimensions (`service`, `route_group`) instead of raw IDs\n- Use recording rules for expensive percentile and ratio queries\n- Split deep-dive dashboards from NOC summary dashboards\n\n## Related Skills\n\n- prometheus-grafana (`prometheus-grafana`) - Dashboard implementation and PromQL\n- opentelemetry (`opentelemetry`) - Standardized telemetry instrumentation\n- alerting-oncall (`alerting-oncall`) - Reliability alert routing and escalation\n- agent-observability (`agent-observability`) - AI workload reliability telemetry\n\n## Limitations\n\n- Guidance executes against real environments: confirm target, blast radius, and rollback plan before applying anything.\n- Never deploy to production without explicit approval. Docs-only import: upstream scripts and templates not bundled.\n\n### Example\n\n```bash\ngit status && git diff --stat\nkubectl diff -f manifest.yaml\n```\n\n> Adapted from [BagelHole\u002FDevOps-Security-Agent-Skills](https:\u002F\u002Fgithub.com\u002FBagelHole\u002FDevOps-Security-Agent-Skills) (MIT); frontmatter, When to Use\u002FLimitations, and safety boundaries added for upstream compliance. Docs-only import: helper scripts and templates not bundled.\n",{"name":5,"risk":26,"source":44,"license":14,"category":45,"metadata":46,"date_added":49,"description":7,"source_repo":50,"source_type":30,"compatibility":51,"license_source":52},"https:\u002F\u002Fgithub.com\u002FBagelHole\u002FDevOps-Security-Agent-Skills","devops",{"author":47,"version":48},"devops-skills","1.0","2026-09-20","BagelHole\u002FDevOps-Security-Agent-Skills","Requires the relevant platform CLIs (kubectl, helm, terraform, git, CI runners) and authorized access to the target environment. Docs-only; helper scripts and templates not bundled.","https:\u002F\u002Fgithub.com\u002FBagelHole\u002FDevOps-Security-Agent-Skills\u002Fblob\u002Fmain\u002FLICENSE","7bf2279c8a65758319526a721d5c4b75683aec9c","skills\u002Fantigravity-sre-dashboards",3,"https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections","https:\u002F\u002Fgithub.com\u002Fboisenoise","2026-11-11 14:20:43",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add boisenoise\u002Fskills-collections --skill sre-dashboards",{"tool":65,"command":66},"bunx","bunx skills add boisenoise\u002Fskills-collections --skill sre-dashboards",{"tool":68,"command":69},"pnpm","pnpm dlx skills add boisenoise\u002Fskills-collections --skill sre-dashboards","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-sre-dashboards\u002FSKILL.md",true,[],[74,100,128,154,173,196],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":78,"licenseFileUrl":79,"sourceHtmlUrl":80,"categories":81,"keywords":82,"publishedAt":39},"01M6WNH92BHVFXHGPDZCPJ0AG0","web-access","Use Treg for public web or platform data only when existing search, browser and connected tools cannot cover the task, with explicit cost and data boundaries.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-web-access\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-web-access\u002FSKILL.md",[],[83,34,84,85,86,87,88,89,90,91,92,21,93,94,95,26,96,97,98,99,22],"web","web access","official","development","browser","search","data","Tools","read","fetch","youtube","free tools","platform","free","cover","normal","when",{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":78,"licenseFileUrl":104,"sourceHtmlUrl":105,"categories":106,"keywords":112,"publishedAt":39},"01M6WNF9XAYAB2CZDDJBAKNM93","treg","Use the Treg CLI or MCP catalog to discover, price and call authorized external tools with team-scoped credentials and a user-approved budget.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-treg\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-treg\u002FSKILL.md",[107],{"categoryNo":108,"categoryName":109,"taxonomyType":110,"taxonomyTypeDesc":111},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[102,113,114,115,85,86,116,90,117,118,119,120,121,122,123,26,124,125,126,127,22],"MCP","cli","github","license","Budget","credentials","team","catalog","use","call","discover","external tools","with","scoped","blob",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":78,"licenseFileUrl":132,"sourceHtmlUrl":133,"categories":134,"keywords":140,"publishedAt":39},"01M6WN93MEAZ4E41DYAHJRPHQT","recruit","Turn a job description into an evidence-linked candidate shortlist through Treg, with job-related ranking and optional authorized business contact enrichment.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-recruit\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-recruit\u002FSKILL.md",[135],{"categoryNo":136,"categoryName":137,"taxonomyType":138,"taxonomyTypeDesc":139},"01JBSEEDCAT000000000000038","人力资源","PROFESSION","适用职业",[130,115,85,116,141,142,143,144,145,146,26,147,148,149,125,150,151,152,153,127,102,22],"https","email","enrichment","business","evidence","phone","ranking","post","job description","for","person","candidate","reason",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":78,"licenseFileUrl":158,"sourceHtmlUrl":159,"categories":160,"keywords":161,"publishedAt":39},"01M6WN8R5RXSMHM9B4D9FAFX42","rea-growth","Analyze a company’s public growth and content through Treg, distinguish observations from hypotheses, and produce an evidence-linked playbook within an approved budget.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-rea-growth\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-rea-growth\u002FSKILL.md",[],[162,163,164,115,85,116,165,166,141,167,117,168,169,170,145,26,171,172,127,102,22],"growth","rea","rea growth","produce","content","playbook","marketing","analyze","public","observations","company",{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":78,"licenseFileUrl":177,"sourceHtmlUrl":178,"categories":179,"keywords":180,"publishedAt":39},"01M6WN2EVE3RQRGWAKBT4S7YT2","make-ugc","Create original AI UGC-style product videos through Treg: research hooks, approve a licensed presenter and voice, generate clips, add captions and report costs.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-make-ugc\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-make-ugc\u002FSKILL.md",[],[181,182,115,183,85,184,116,185,186,187,188,189,26,190,191,192,193,194,195,127],"make","make ugc","research","create","Video","Captions","ads","short","hooks","head","style","niche","trending","talking-head","approve",{"skillNo":197,"name":198,"nameZh":6,"description":199,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":78,"licenseFileUrl":200,"sourceHtmlUrl":201,"categories":202,"keywords":203,"publishedAt":39},"01M6WN10ARAA63Y8K1YNGXJ2RM","lead-signals","Find and qualify public buying signals through Treg, rank fitting business accounts and optionally enrich authorized business contact information.","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-lead-signals\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-lead-signals\u002FSKILL.md",[],[27,204,205,115,85,116,206,207,144,208,209,26,210,211,212,213,214,215,216,127],"lead","lead signals","how","find","ready","as","how to","qualify","people","information","enrich","changes","funding"]