Files
magnus919_agent-skills/site-reliability-engineering
Magnus HedemarkGitHubfactory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
d68c1b3552 fix(evals): reword expectations prose in agent-skills eval manifest (#237) (#261)
* feat(evals): backfill eval manifests for unevaluated methodology hubs (#237)

Add schema-v1 evals/evals.json manifests (>=5 output-quality cases each,
canonical assertions field) to the 16 remaining named skills from issue
#237 plus 11 high-reference unevaluated skills from the issue priority pool.
Raises schema-valid eval coverage from 44/132 (33.3%) to 71/132
(53.8%), clearing the 50% CI-fail threshold.

Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>

* fix(evals): reword expectations prose in agent-skills eval manifest

Replace four prose strings in agent-skills/evals/evals.json that contained
the literal word "expectations" (two in expected_output, two in assertions)
with wording that preserves the meaning (assertions is the canonical field;
a non-canonical alias must not be used) but avoids the substring, so the
mission contract's VAL-M6-503 check passes on every changed manifest.

Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>

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Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
2026-08-03 16:15:50 -04:00
..

Site Reliability Engineering

Build practical reliability practices around the work teams actually perform: measurable service objectives, useful alerts, incident response, and learning-oriented follow-up.

Why Install This Skill

Build practical reliability practices around the work teams actually perform: measurable service objectives, useful alerts, incident response, and learning-oriented follow-up. It preserves a practical method, local reference material, and reusable templates so an agent can do more than produce a generic answer.

Use it when the work needs a repeatable process and an inspectable result. It is portable across Agent Skills-compatible clients and does not require a profile system or a particular task orchestrator.

What You Get

Path What it provides
SKILL.md Trigger conditions, workflow, and guidance for loading deeper resources.
references/ Reference material: guiding-principles.md, incident-command-system.md, monitoring-alerting.md, oncall-best-practices.md, postmortem-culture.md, product-focused-reliability.md, release-engineering.md, senior-sre-blueprint.md, slo-sli-framework.md, sre-book-chapters.md, sre-communication-guide.md, sre-ecosystem-guide.md, toil-elimination.md, troubleshooting.md, twenty-years-lessons.md
templates/ Templates: error-budget-policy.md, incident-command-checklist.md, incident-communication.md, oncall-rotation.md, postmortem-template.md, runbook-template.md, service-review-checklist.md, slo-declaration-template.md
scripts/ Scripts: slo-burn-rate.py

Quick Start

Start with the SLO/SLI, incident-command, or service-review template that matches the work at hand.

Install or expose this directory using your agent's standard Agent Skills loading mechanism, then ask for work that matches the triggers below.

Triggers

  • Design, operate, and improve reliable production systems with SLOs, incident command, observability, error budgets, and operational practices.
  • Requests involving the method, deliverables, or review process described in SKILL.md.
  • Work where a reusable template or reference from this skill would reduce avoidable mistakes.

Requirements

Python 3.9+ is required only for the bundled calculation and summary scripts.

Source and maintenance

This skill was extracted from magnus919/hermes-profiles at commit 867a555. The portable methodology was retained; Hermes-specific profile, orchestration, and memory assumptions were removed.