kubernetes
Skill0 starsChanged 15 days agoMITView on GitHub
Define requests/limits, probes, rollout, and rollback.
32 other projects use a version of this.
Adopted by
Most recently taken up by
- kcns008/cluster-skillstheir own version, first seen Nov 8, 2026
- fmind/dottheir own version, first seen Nov 8, 2026
- fmind/dotfilestheir own version, first seen Nov 8, 2026
- notque/vexjoy-agenttheir own version, first seen Nov 7, 2026
- ryanmaclean/skillstheir own version, first seen Nov 1, 2026
- TeddyAlbina/skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use gitops, documentation-site and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
kcns008Skillgitops
GitOps Agent (Flow) — manages ArgoCD applications, Helm charts, Kustomize overlays, deployment strategies (canary, blue-green, rolling), multi-cluster GitOps, and drift detection for Kubernetes and OpenShift clusters.
Also in 4 projects that use this
KMaruthi2002Skilldocumentation-site
Plan, build and maintain a documentation website for a product, API, library, platform or internal system: information architecture (tutorials, how-to guides, reference, explanation), choosing a static site generator or hosted docs platform, navigation and search, versioning for multiple releases, generated API reference, code samples that are tested and actually run, docs-as-code workflow with review, previews, link checking and CI, plus accessibility, internationalisation and analytics. Use when someone asks to create a docs site, developer portal, knowledge base, handbook site, migrate docs to a new generator, add versioning or search to docs, or fix docs that users cannot navigate or that have drifted from the product.
Also in 3 projects that use this
SentrySkilldatadog
Query live Datadog telemetry (logs, metrics, traces, spans, monitors, incidents, dashboards, services, hosts) through Datadog's Pup CLI. Use when users ask to investigate production behavior in Datadog, including searching logs, checking monitor status, inspecting traces or spans, looking up incidents, finding services, or correlating metrics. Do not use it for Sentry issues, repository/source-code work, or ticketing.
Also in 3 projects that use this
ddehartSkillprocess
Process work sessions into the claude-code-plugins knowledge graph — preserves the session transcript, writes or links its chronicle entry as the session's synthesis, turns the transcript into observations, updates the patterns and decisions they support, folds in named plugins and skills, and proposes promotions to the personal commons. Also resolves-and-preserves an on-demand Claude Code docs URL when one comes up. Use when the user says "process this session", "run /process", names a session transcript or UUID, names a chronicle entry whose session should be processed, asks what's in the processing queue, or points at a Claude Code release-notes / docs page to capture.
Also in 3 projects that use this
third-order-labsSkillproject-scaffolding
Templates, directory conventions, and document structure for long-form fiction projects. Contains the full template library — documents are created as the project needs them, not all at once.
Also in 3 projects that use this
VercelSkillaws
Emulated AWS cloud services (S3, SQS, Cognito, IAM, STS) for local development and testing. Use when the user needs to interact with AWS API endpoints locally, test S3 bucket and object operations, emulate SQS queues and messages, test Cognito sign-up, sign-in, JWTs, or Identity Pools, manage IAM users/roles/access keys, test STS assume role, or work without hitting real AWS APIs. Triggers include "AWS emulator", "emulate AWS", "mock S3", "local SQS", "test IAM", "emulate S3", "AWS locally", "STS assume role", or any task requiring local AWS service emulation.
Also in 4 projects that use this
Other versions32 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 32
- notque/claude-code-toolkit★ 448same name
- notque/vexjoy-agent★ 448same name
- Mindrally/skills★ 275same name
- magnus919/agent-skills★ 172same name
- OpenHands/extensions★ 167same name
- nitinjain999/platform-skills★ 71same name
- nimadorostkar/Claude-Skills-collection★ 33same name
- mjunaidca/mjs-agent-skills★ 27same name
- kcns008/cluster-agent-swarm-skills★ 25same name
- last9/mithai★ 20same name
22 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository99 other files it gives its agents.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 28 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 31
No fabricated sources, data, or test results.
- Distinctive: line 32
If the task falls outside the method, say so and stop.
“Common” is measured: kept by at least 6 in 10 of the 28 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Kubernetes
Use
Apply this when the task matches the description. Keep the output decision-useful and mark unknowns.
Method
- Inventory current state and dependencies.
- Reproduce in a disposable environment.
- Change one variable with a rollback path.
- Define success metrics and alerting.
Focus: Kubernetes.
Verification
- Dry run/plan reviewed; rollback tested.
- Metrics and alerts cover the failure.
- State clearly what was not verified.
Boundaries
- This is a checklist, not proof of correctness.
- No fabricated sources, data, or test results.
- If the task falls outside the method, say so and stop.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

