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SRE & Incident Management Platform
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install 1kalin/afrexai-sre-platformInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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:
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
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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