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anandartinanandartin/celestial-skills/skills/kubernetes-helm-engineering/AGENTS.md

celestial-skills / kubernetes-helm-engineering

AGENTS.md1 starsChanged 18 days agoApache-2.0View on GitHub

Services deployed to Kubernetes through versioned Helm charts with health probes, resource limits and safe rollouts by default. When a Celestial experience skill is in use, give each journey one end-to-end test (happy path plus its error and empty states) and name an

The file

We split this AGENTS.md into the rules it gives an agent

8 rules. About 0 are common, 7 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Prefer small, pure functions and explicit types at module boundaries.

    line 29
  2. Distinctive:

    Run database migrations as a separate pre-upgrade Job that is backward compatible with the running version.

    line 37
  3. Distinctive:

    Every async action has loading, empty, error and success states, matching the experience skill.

    line 40
  4. Distinctive:

    Every container sets CPU and memory requests, and a memory limit sized from observed usage.

    line 51
  5. Distinctive:

    Use native elements first.

    line 54
  6. Very specific:

    When a Celestial experience skill is in use, give each journey one end-to-end test (happy path plus its error and empty states) and name …

    line 59
  7. Distinctive:

    Every release has a written rollback path

    line 99
  8. Distinctive:

    Check events and pod restarts first: kubectl describe and recent logs for the failing revision

    line 105

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

AGENTS.md — Kubernetes with Helm

Services deployed to Kubernetes through versioned Helm charts with health probes, resource limits and safe rollouts by default.

Setup and commands

  • dev: helm template charts/<service> -f environments/staging/<service>.yaml
  • lint: helm lint charts/<service> -f environments/prod/<service>.yaml && helm template charts/<service> | kubeconform -strict -summary
  • test: helm unittest charts/<service>
  • build: helm package charts/<service>
  • deploy: helm upgrade --install <service> charts/<service> -f environments/prod/<service>.yaml --atomic --wait --timeout 10m
  • install: helm dependency build charts/<service>

Project structure

  • charts/<service>/Chart.yaml — Chart metadata, version and appVersion
  • charts/<service>/values.yaml — Safe defaults: probes on, limits set, one replica, no secrets
  • charts/<service>/values.schema.json — Schema for every value the chart accepts
  • charts/<service>/templates/ — Deployment, Service, HPA, PodDisruptionBudget, NetworkPolicy and _helpers.tpl
  • charts/<service>/tests/ — helm-unittest suites for the templates
  • environments/<env>/<service>.yaml — Per-environment overrides: replicas, image tag, resources, hostnames
  • charts/library/ — Shared library chart with the common labels and pod spec helpers

Code style

  • Files: kebab-case.yaml; templates named after the kind (deployment.yaml, service.yaml)
  • Tests: charts/<service>/tests/<template>_test.yaml
  • Branches: type/short-description, e.g. feat/api-hpa
  • Components: Release and resource names kebab-case; standard app.kubernetes.io/* labels on every object

Code

  • Prefer small, pure functions and explicit types at module boundaries. (Easier to test, review and change.)
  • Reference images by immutable tag or digest; never deploy latest. (A rollback must return to exactly the bytes that ran before.)

Components

  • Components read design tokens; no raw hex values, pixel sizes or font names in component code. (One token change restyles the product.)

Data

  • Analytics events are object_action in snake_case and come from the experience skill’s measures. (Names stay consistent across teams and tools.)
  • Run database migrations as a separate pre-upgrade Job that is backward compatible with the running version. (Old and new pods overlap during a rolling update.)

Errors

  • Every async action has loading, empty, error and success states, matching the experience skill. (Unhandled states are where users get stuck.)
  • Define readiness and liveness probes separately; liveness never checks downstream dependencies. (A slow database should remove pods from traffic, not restart them in a loop.)

Security

  • Secrets never live in the repository; read them from the environment or a secret store. (A leaked key outlives the commit that removed it.)
  • Validate every input on the server, even when the client already did. (Clients can be bypassed.)
  • Web pages ship a Content-Security-Policy, HSTS, X-Frame-Options and nosniff. (Cheap protection against the most common attacks.)
  • Pods run as non-root with a read-only root filesystem, dropped capabilities and no privilege escalation. (Limits what an attacker can do from a compromised container.)
  • Secrets come from an external secret store via a controller; values files never contain secret values. (Values files are committed and rendered into logs.)

Performance

  • Every container sets CPU and memory requests, and a memory limit sized from observed usage. (The scheduler places pods correctly and one service cannot starve its neighbours.)

Accessibility

  • Use native elements first; add ARIA only when no native element fits. (Native controls bring keyboard and screen-reader support for free.)

Design and journeys

This stack has no UI; design skills do not apply.

When a Celestial experience skill is in use, give each journey one end-to-end test (happy path plus its error and empty states) and name analytics events object_action from its measures.

Testing and checks (must pass before a pull request)

GateToolThresholdWhen
Lint and typeshelm lint + kubeconform -strict + values schema0 errors for every environment's values fileEvery pull request
Unit and component testsThe stack’s test runnerAll pass; every design-skill component state coveredEvery pull request
Journey testsEnd-to-end runnerOne test per experience-skill journey: happy path + error stateEvery pull request
AccessibilityAutomated audit (axe on web, platform audit on mobile)WCAG 2.2 AA · no new violationsEvery pull request
Performance budgetLab measurement in CIWeb: LCP ≤ 2.5s · INP ≤ 200ms · CLS ≤ 0.1 · ≤ 170KB JS per route. Mobile: cold start ≤ 2s · 60fps scrollEvery pull request
Dependency and secret scanImage vulnerability scan + secret scanner over charts and valuesNo high or critical image findings without an exception; no secretsEvery pull request and nightly
Preview deployHosting preview environmentA working preview link on the pull requestEvery pull request
Policy checkAdmission-policy rules run in CI (e.g. Kyverno or OPA CLI) against rendered manifestsNo pod without limits, probes, non-root or pinned imageEvery pull request

Pull requests

  • Branching: Trunk-based; main describes what should run in each environment.

Review checklist

  • Correctness: does it do what the issue asks, including edge cases?
  • Readability: could a new teammate change it safely?
  • Architecture: is it in the right place, with the right boundaries?
  • Security: inputs, secrets, permissions, dependencies
  • Performance: budgets, queries, bundle size
  • Tests fail when the code is broken (flip a condition and re-run)
  • Reviewer reads the rendered diff (helm diff or template output), not only the template change
  • Changes to RBAC, NetworkPolicy or security context need a platform reviewer

Definition of done

  • Acceptance criteria met and demoed on the preview link
  • Tests added for new behaviour and every state
  • Accessibility and performance gates green
  • Analytics events named from the experience skill
  • Docs or changelog updated when behaviour changes
  • Chart renders and validates for every environment
  • Rollout completed in staging with probes green and no restarts

Release

  • Small pull requests (aim for under 400 changed lines)
  • CI green before review
  • Squash-merge to main; main is always deployable
  • Every release has a written rollback path
  • Upgrade with --atomic so a failed rollout reverts automatically
  • Promote the same chart version and image digest from staging to production

Incidents

  • helm rollback <service> <revision> to the last good release, then revert the commit so git matches
  • Check events and pod restarts first: kubectl describe and recent logs for the failing revision

Generated from the Celestial engineering skill “Kubernetes with Helm” (engineering core v1.0, checked 2026-10-26).

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