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SRE & Incident Management Platform
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install 1kalin/afrexai-sre-platform打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Complete Site Reliability Engineering system — from SLO definition through incident response, chaos engineering, and operational excellence. Zero dependencies.
Before building anything, assess where you are.
service:
name: ""
tier: "" # critical | important | standard | experimental
owner_team: ""
oncall_rotation: ""
dependencies:
upstream: [] # services we call
downstream: [] # services that call us
data_classification: "" # public | internal | confidential | restricted
deployment_frequency: "" # daily | weekly | biweekly | monthly
architecture: "" # monolith | microservice | serverless | hybrid
language: ""
infra: "" # k8s | ECS | Lambda | VM | bare-metal
traffic_pattern: "" # steady | diurnal | spiky | seasonal
peak_rps: 0
storage_gb: 0
monthly_cost_usd: 0
| Dimension | 1 (Ad-hoc) | 3 (Defined) | 5 (Optimized) | Score |
|---|---|---|---|---|
| SLOs | No SLOs defined | SLOs exist, reviewed quarterly | Data-driven SLOs, auto error budgets | |
| Monitoring | Basic health checks | Golden signals + dashboards | Full observability, anomaly detection | |
| Incident Response | No runbooks, hero culture | Documented process, postmortems | Automated detection, structured ICS | |
| Automation | Manual deployments | CI/CD pipeline, some automation | Self-healing, auto-scaling, GitOps | |
| Chaos Engineering | No testing | Basic failure injection | Continuous chaos in production | |
| Capacity Planning | Reactive scaling | Quarterly forecasting | Predictive auto-scaling | |
| Toil Management | >50% toil | Toil tracked, reduction plans | <25% toil, systematic elimination | |
| On-Call Health | Burnout, 24/7 individuals | Rotation exists, escalation paths | Balanced load, <2 pages/shift |
Score interpretation:
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
The most comprehensive SRE skill on ClawHub. Complete system from SLO definition through incident response, chaos engineering, toil management, and operational excellence.
clawhub install afrexai-sre-platform
"Assess reliability for payment-service"
"Define SLOs for our API gateway"
"Start incident for elevated 5xx errors on checkout"
"Plan chaos experiment for database failover"
This free skill gives you the methodology. For industry-specific reliability patterns:
# SRE & Incident Management Platform
Complete Site Reliability Engineering system — from SLO definition through incident response, chaos engineering, and operational excellence. Zero dependencies.
---
## Phase 1: Reliability Assessment
Before building anything, assess where you are.
### Service Catalog Entry
```yaml
service:
name: ""
tier: "" # critical | important | standard | experimental
owner_team: ""
oncall_rotation: ""
dependencies:
upstream: [] # services we call
downstream: [] # services that call us
data_classification: "" # public | internal | confidential | restricted
deployment_frequency: "" # daily | weekly | biweekly | monthly
architecture: "" # monolith | microservice | serverless | hybrid
language: ""
infra: "" # k8s | ECS | Lambda | VM | bare-metal
traffic_pattern: "" # steady | diurnal | spiky | seasonal
peak_rps: 0
storage_gb: 0
monthly_cost_usd: 0
```
### Maturity Assessment (Score 1-5 per dimension)
| Dimension | 1 (Ad-hoc) | 3 (Defined) | 5 (Optimized) | Score |
|-----------|-----------|-------------|---------------|-------|
| SLOs | No SLOs defined | SLOs exist, reviewed quarterly | Data-driven SLOs, auto error budgets | |
| Monitoring | Basic health checks | Golden signals + dashboards | Full observability, anomaly detection | |
| Incident Response | No runbooks, hero culture | Documented process, postmortems | Automated detection, structured ICS | |
| Automation | Manual deployments | CI/CD pipeline, some automation | Self-healing, auto-scaling, GitOps | |
| Chaos Engineering | No testing | Basic failure injection | Continuous chaos in production | |
| Capacity Planning | Reactive scaling | Quarterly forecasting | Predictive auto-scaling | |
| Toil Management | >50% toil | Toil tracked, reduction plans | <25% toil, systematic elimination | |
| On-Call Health | Burnout, 24/7 individuals | Rotation exists, escalation paths | Balanced load, <2 pages/shift | |
**Score interpretation:**
- 8-1...# AfrexAI SRE & Incident Management Platform ⚡ The most comprehensive SRE skill on ClawHub. Complete system from SLO definition through incident response, chaos engineering, toil management, and operational excellence. ## Install ```bash clawhub install afrexai-sre-platform ``` ## What's Inside - **Reliability Assessment** — 8-dimension maturity model with scoring - **SLI/SLO Framework** — Selection guides, burn rate alerts, 28-day rolling windows - **Error Budget Management** — 4-state policy with automated escalation rules - **Monitoring Architecture** — Golden Signals + USE + RED methods, alert design rules - **Incident Response** — Full ICS framework, severity matrix, communication templates - **Postmortem Framework** — Blameless template, Five Whys, Fishbone analysis, action tracking - **Chaos Engineering** — 12 experiment templates, Game Day runbook, maturity model - **Toil Management** — Inventory, priority matrix, automation targets - **Capacity Planning** — Growth modeling, load testing benchmarks, scaling strategies - **On-Call Excellence** — Health metrics, rotation practices, handoff templates, runbook template - **Production Readiness Review** — 28-point checklist before any service goes live - **Self-Healing Patterns** — Auto-remediation templates, multi-region strategies ## Quick Start ``` "Assess reliability for payment-service" "Define SLOs for our API gateway" "Start incident for elevated 5xx errors on checkout" "Plan chaos experiment for database failover" ``` ## ⚡ Level Up This free skill gives you the methodology. For industry-specific reliability patterns: - **[SaaS Context Pack ($47)](https://afrexai-cto.github.io/context-packs/)** — SaaS-specific SLOs, multi-tenant reliability, PLG scaling - **[Fintech Context Pack ($47)](https://afrexai-cto.github.io/context-packs/)** — Financial system SLOs, compliance monitoring, payment reliability - **[Healthcare Context Pack ($47)](https://afrexai-cto.github.io/context-packs/)** — HIPAA-awar...
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