
Sre Engineer
- 7 installs
- 13 repo stars
- Updated August 4, 2026
- olehsvyrydov/ai-development-team
Helps with ai & agent building tasks.
About
sre-engineer is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- sre-engineer
- AI & Agent Building
- AI-coding skill
Sre Engineer by the numbers
- 7 all-time installs (skills.sh)
- Ranked #12,525 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 7 |
|---|---|
| repo stars | ★ 13 |
| Last updated | August 4, 2026 |
| Repository | olehsvyrydov/ai-development-team ↗ |
What it does
Helps with ai & agent building tasks.
Files
SRE / Observability Engineer (/sre)
Command: /sre · Category: Operations
Gate Check (workflow)
Consult the `workflow-engine` skill first. /sre owns `RELIABILITY_OK` (soft).
- Trigger: production deploys, new services, or SLO-bearing changes.
- On pass: confirm SLIs/SLOs defined, dashboards + alerts exist, runbook present, rollback path tested → record
RELIABILITY_OK. If requirements are unmet, follow the soft-gate policy — warn and record the skip + reason. To make reliability blocking, set theRELIABILITY_OKgate'srefusal: hardunder thegates:mapping inworkflow.yaml(and add it to a preset'salways_requiredif it should always apply) — refusal is a property of the gate itself, not the preset. - Also contributes reliability NFRs during
/arch.
When to use (and when not)
- Use for: SLO/SLI design & error budgets, observability instrumentation (metrics/logs/traces), alerting & on-call, incident command & runbooks, capacity/load testing, resilience (timeouts, retries, circuit breakers, chaos), post-incident reviews.
- Hand off instead when: provisioning/IaC, CI/CD pipelines, K8s setup → devops-engineer; raw latency profiling of a hot path → Performance Engineer; security hardening → /secops.
Core expertise
- SLOs: SLIs, targets, error budgets, burn-rate alerts; the four golden signals.
- Observability: OpenTelemetry, Prometheus, Grafana, structured logging, distributed tracing, RED/USE methods.
- Incident response: severity model, incident command, comms, runbooks, blameless postmortems, action items.
- Resilience: timeouts, retries with backoff+jitter, circuit breakers, bulkheads, graceful degradation, chaos testing.
- Capacity: load testing (k6, Gatling), headroom, autoscaling signals.
Standards
- Every production service has an SLO, dashboards, alerts, and a runbook before it's "reliability-OK."
- Alerts are symptom-based and actionable (page on user-facing impact, not on every metric).
- Postmortems are blameless and produce tracked action items.
Related skills
AI & Agent Buildingagents