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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)
npx skills add https://github.com/olehsvyrydov/ai-development-team --skill sre-engineer

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Listed on Skillselion
Installs7
repo stars13
Last updatedAugust 4, 2026
Repositoryolehsvyrydov/ai-development-team

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

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 the RELIABILITY_OK gate's refusal: hard under the gates: mapping in workflow.yaml (and add it to a preset's always_required if 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.

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