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Fluxcd

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nitinjain999
fluxcd

FluxCD entry point — routes to the right workflow based on what you need. Live cluster issue → structured 5-workflow debug trace. Repo health check → 6-phase audit (discovery, validation, API compliance, best practices, security). Helm chart review → helmchart. Starts by asking one question to confirm the right mode.

Overview

Publishernitinjain999
Repositoryplatform-skills
Skill namefluxcd
Stars
71
Forks
14
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nitinjain999 on GitHub. Read the source before you install it.

Installation

Install the Fluxcd AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nitinjain999/platform-skills/tree/main/plugins/platform-skills/skills/fluxcd
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nitinjain999/platform-skills.git /tmp/platform-skills
mkdir -p .claude/skills
cp -r /tmp/platform-skills/plugins/platform-skills/skills/fluxcd .claude/skills/fluxcd
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fluxcd in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fluxcd on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fluxcd is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

You are a senior platform engineer specialising in Flux CD.

The input is: $ARGUMENTS


Step 1 — Identify the mode

Determine which workflow applies from the input. If it is ambiguous, ask exactly one question:

"Are you debugging a live cluster issue, auditing a GitOps repository, or reviewing a Helm chart?"

If the input contains...Use
An error message, flux get output, pod logs, or "not reconciling"Debug → run /platform-skills:gitops debug
A repo path, "audit", "review", "before merge", "is this correct"Audit → run /platform-skills:gitops audit
A Helm chart path, Chart.yaml, values.yaml, "helm", "chart"Helm → run /platform-skills:helmchart
A manifest to review (Kustomization, HelmRelease, FluxInstance YAML)Review → run /platform-skills:preflight

Debug mode — live cluster issue

Version check: flux --version before proceeding.

  • Flux v2.3+: use flux bootstrap (GitOps Toolkit) — this is the standard path.
  • Flux Operator (v2.7+): use a FluxInstance CR instead. flux bootstrap is not used in Operator mode.
  • If unsure: kubectl get crd fluxinstances.fluxcd.io — if this CRD exists, you are running Flux Operator.

Use when something is broken or not reconciling on a live cluster. Invoke as /platform-skills:gitops debug.

If the input already contains error output (flux get, kubectl describe, pod logs): skip directly to the relevant workflow — do NOT start from installation check. Match the error to the layer first:

Error patternLayerJump to
rendered manifests contain a resource that already exists / invalid ownership metadatachart renderingHelmRelease trace (Workflow 3)
Helm install failed / upgrade retries exhaustedchart rendering / reconciliationHelmRelease trace (Workflow 3)
FetchFailed / unauthorizedsourceSource workflow (Workflow 2)
kustomize build failed / BuildFailedreconciliationKustomization trace (Workflow 4)
Controller pod not runninginstallationInstallation check (Workflow 1)

Works through 5 structured workflows in order (when no evidence provided):

  1. Installation check — FluxInstance status, FluxReport, controller pods
  2. Source failures — GitRepository FetchFailed, OCIRepository auth, Cosign verify
  3. HelmRelease trace — spec/status → valuesFrom → chart source → inventory → pod logs
  4. Kustomization trace — spec/status → substituteFrom → source → managed resources
  5. ResourceSet trace — status → inputsFrom providers → generated objects

Produces a 5-section report: Summary → Resource Analysis → Dependency Chain → Root Cause → Recommendations.

bash
# HelmRelease ownership conflict evidence
# Step 1: get the conflicting resource name from the error message (not the HelmRelease name)
flux logs --kind=HelmRelease --name=<helmrelease-name> --namespace=<ns>
# Step 2: check ownership annotations on the conflicting resource
kubectl get <kind> <resource-name-from-error> -o yaml | grep "meta.helm.sh"
# Step 3: find the owning release across ALL namespaces (owner may be in a different ns)
helm list -A
kubectl get events -n <ns>

# Quick health check to start (when no evidence provided)
flux get all -A
kubectl get fluxinstance flux -n flux-system -o yaml   # if using Flux Operator
kubectl get fluxreport flux -n flux-system -o yaml

Audit mode — GitOps repository health check

Use before merging, before a release, or when onboarding an unfamiliar repo. Invoke as /platform-skills:gitops audit.

Runs 6 phases using the bundled Flux audit scripts from examples/fluxcd/repo-audit. Set audit_dir to that directory's absolute path in the loaded installation. It is under the repository or Claude plugin root; portable skills carry it under their own directory. No script is downloaded during an audit.

bash
audit_dir='<absolute path to bundled examples/fluxcd/repo-audit>'
SCRIPTS="$audit_dir/scripts"

# Phase 1 — inventory
bash "$SCRIPTS/discover.sh" -d .

# Phase 2 — validation (flux-schema + kustomize or kubectl)
bash "$SCRIPTS/validate.sh" -d .

# Phase 3 — deprecated API check (exits 1 in CI if found)
bash "$SCRIPTS/check-deprecated.sh" -d .

Requires installed flux-schema >= 0.10.0, kustomize or kubectl, and flux >= 2.9.0. See the bundled audit README for provenance, tool setup and schema behavior. Phases 4–6 (best practices, security, report) are analysed from the repo content. Produces a Critical / Warning / Info report.


Helm mode — chart review

Use when working on a HelmRelease chart — scaffold, lint, or security-audit the chart itself.

bash
helm lint --strict ./charts/my-app
helm template my-app ./charts/my-app --debug | kubeconform -strict -summary

Quick reference — Flux CRD apiVersions

KindapiVersion
FluxInstance, ResourceSet, ResourceSetInputProviderfluxcd.controlplane.io/v1
GitRepository, OCIRepository, HelmRepository, HelmChart, Bucketsource.toolkit.fluxcd.io/v1
Kustomizationkustomize.toolkit.fluxcd.io/v1
HelmReleasehelm.toolkit.fluxcd.io/v2
Provider, Alertnotification.toolkit.fluxcd.io/v1beta3
Receivernotification.toolkit.fluxcd.io/v1

Reference files

TopicReference
Overview, patterns, common mistakesreferences/fluxcd.md
Source CRDsreferences/fluxcd-sources.md
ResourceSet + InputProviderreferences/fluxcd-resourcesets.md
Flux Operator (FluxInstance, FluxReport)references/fluxcd-operator.md
Kustomization advancedreferences/fluxcd-kustomization.md
HelmRelease deep divereferences/fluxcd-helmrelease.md
Notifications (Provider, Alert, Receiver)references/fluxcd-notifications.md
Terraform bootstrapreferences/fluxcd-terraform.md
MCP server (AI debug)references/fluxcd-mcp.md
API migration (v2.7/v2.8)references/fluxcd-migration.md
Security audit checklistreferences/fluxcd-security.md
Working examplesexamples/fluxcd/

Frequently asked questions

What does the Fluxcd AI skill do?

FluxCD entry point — routes to the right workflow based on what you need. Live cluster issue → structured 5-workflow debug trace. Repo health check → 6-phase audit (discovery, validation, API compliance, best practices, security). Helm chart review → helmchart. Starts by asking one question to confirm the right mode.

Why use Fluxcd on TypingMind?

Because you install it once and use it with any model. Fluxcd is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fluxcd in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nitinjain999/platform-skills/tree/main/plugins/platform-skills/skills/fluxcd. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fluxcd?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fluxcd?

As many as you like. As long as a model supports skills, you can use Fluxcd with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fluxcd AI skill free?

Yes. It is published on GitHub by nitinjain999 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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