Reconciler Logic logo

Reconciler Logic

Organization
grafana
reconciler-logic

Implement reconcilers and watchers for grafana-app-sdk apps — write `TypedReconciler[*MyKind]` reconcile functions, apply generation-based skip patterns, do conflict-safe status updates via `resource.UpdateObject`, configure `BasicReconcileOptions` (namespace, label/field filters, finalizer management), use `Watcher` for event-style handling, reconcile `UnmanagedKinds` (resources your app doesn't own), and register the whole thing in `app.go`. Use when writing a reconciler, implementing the reconcile loop, adding async business logic, handling create/update/delete events, processing resource state changes, scheduling periodic resyncs with `RequeueAfter`, picking between Watcher and Reconciler, or wiring a controller into `app.go` — even when the user says "process this resource", "handle X events", or "write a controller" without saying "reconciler".

Overview

Publishergrafana
Repositoryskills
Skill namereconciler-logic
Stars
289
Forks
27
Bundled files
5
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Reconciler Logic 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/grafana/skills/tree/main/skills/grafana-app-sdk/reconciler-logic
  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/grafana/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/grafana-app-sdk/reconciler-logic .claude/skills/reconciler-logic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reconciler Logic 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 Reconciler Logic 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 Reconciler Logic 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.

Reconciler Logic

Reconcilers are the async business-logic layer of a grafana-app-sdk app. The SDK enqueues a reconcile event when a resource is created, updated, or deleted; the reconciler observes the current state and drives the system toward the desired state.

Common Workflows

Implementing a new reconciler end-to-end

bash
# 1. Generate operator stubs for a standalone app
grafana-app-sdk project component add operator

# 2. Implement the ReconcileFunc — see § TypedReconciler below for the pattern

# 3. Register the reconciler in app.go (see references/registration.md)

# 4. Generate, build, and verify it runs
grafana-app-sdk generate
go build ./...
go run ./cmd/operator   # tail logs — reconcile entries should appear when you kubectl-apply a resource

If the operator starts but no reconcile events fire when you create a resource:

  • Check BasicReconcileOptions.Namespace matches the resource's namespace
  • Check BasicReconcileOptions.LabelFilters / FieldSelectors — most "no events" issues are filter mismatches (kubectl get <resource> -o yaml to see labels)
  • Confirm the reconciler was attached to the right (latest) version of the kind

TypedReconciler — preferred pattern

operator.TypedReconciler handles type assertion and provides a strongly-typed ReconcileFunc:

go
type MyKindReconciler struct {
    operator.TypedReconciler[*v1alpha1.MyKind]
    client resource.Client
}

func NewMyKindReconciler(client resource.Client) *MyKindReconciler {
    r := &MyKindReconciler{client: client}
    r.ReconcileFunc = r.reconcile  // wire the typed func
    return r
}

func (r *MyKindReconciler) reconcile(
    ctx context.Context,
    req operator.TypedReconcileRequest[*v1alpha1.MyKind],
) (operator.ReconcileResult, error) {
    obj := req.Object

    // Skip if already reconciled this generation
    if obj.GetGeneration() == obj.Status.LastObservedGeneration &&
       req.Action != operator.ReconcileActionDeleted {
        return operator.ReconcileResult{}, nil
    }

    log := logging.FromContext(ctx).With("name", obj.GetName(), "namespace", obj.GetNamespace())
    log.Info("reconciling", "action", operator.ResourceActionFromReconcileAction(req.Action))

    if req.Action == operator.ReconcileActionDeleted {
        return operator.ReconcileResult{}, nil
    }

    // ... business logic ...

    // Atomic status update — see § Status updates below
    _, err := resource.UpdateObject(ctx, r.client, obj.GetStaticMetadata().Identifier(),
        func(obj *v1alpha1.MyKind, _ bool) (*v1alpha1.MyKind, error) {
            obj.Status.LastObservedGeneration = obj.GetGeneration()
            obj.Status.State = "Ready"
            return obj, nil
        },
        resource.UpdateOptions{Subresource: "status"},
    )
    return operator.ReconcileResult{}, err
}

ReconcileAction values: ReconcileActionCreated, ReconcileActionUpdated, ReconcileActionDeleted, ReconcileActionResynced.

To requeue after a delay (e.g. polling an external system):

go
return operator.ReconcileResult{RequeueAfter: 10 * time.Second}, nil

Status updates with resource.UpdateObject

Always use resource.UpdateObject for status writes — it fetches the latest version before applying your update function, avoiding 409 Conflict errors when multiple reconcile events race:

go
_, err := resource.UpdateObject(ctx, r.client, identifier,
    func(obj *v1alpha1.MyKind, exists bool) (*v1alpha1.MyKind, error) {
        obj.Status.LastObservedGeneration = obj.GetGeneration()
        obj.Status.State = "Ready"
        obj.Status.Message = ""
        return obj, nil
    },
    resource.UpdateOptions{Subresource: "status"},
)

Do not use client.Update for status — it sends the full object and races with spec changes made by users.

Generation-based skip

Check LastObservedGeneration at the top of the reconcile function to avoid re-processing unchanged resources:

go
if obj.GetGeneration() == obj.Status.LastObservedGeneration {
    return operator.ReconcileResult{}, nil
}

ReconcileOptions

Control informer behavior via BasicReconcileOptions on the AppManagedKind entry:

go
{
    Kind:       mykindv1alpha1.MyKindKind(),
    Reconciler: reconciler,
    ReconcileOptions: simple.BasicReconcileOptions{
        Namespace:      "my-namespace",          // watch one namespace; default is all
        LabelFilters:   []string{"env=prod"},    // only reconcile matching resources
        FieldSelectors: []string{"status.phase=Running"},
        UsePlain:       false,                   // false = wrap in OpinionatedReconciler (default; manages finalizers)
    },
},

UsePlain: false (the default) wraps your reconciler in OpinionatedReconciler, which manages finalizers automatically so the SDK can guarantee clean deletion.

References

  • references/watchers.md — Watcher alternative (event-style Add/Update/Delete callbacks) + decision matrix for watcher vs reconciler
  • references/unmanaged-kinds.md — UnmanagedKinds for reconciling resources your app doesn't own, with UseOpinionated: false guidance and common failure modes
  • references/registration.md — full app.go wiring (client setup, multi-version registration, ValidateManifest) + common failure modes

External resources

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Reconciler Logic AI skill do?

Implement reconcilers and watchers for grafana-app-sdk apps — write `TypedReconciler[*MyKind]` reconcile functions, apply generation-based skip patterns, do conflict-safe status updates via `resource.UpdateObject`, configure `BasicReconcileOptions` (namespace, label/field filters, finalizer management), use `Watcher` for event-style handling, reconcile `UnmanagedKinds` (resources your app doesn't own), and register the whole thing in `app.go`. Use when writing a reconciler, implementing the reconcile loop, adding async business logic, handling create/update/delete events, processing resourc...

Why use Reconciler Logic on TypingMind?

Because you install it once and use it with any model. Reconciler Logic 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 Reconciler Logic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/grafana/skills/tree/main/skills/grafana-app-sdk/reconciler-logic. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Reconciler Logic?

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 Reconciler Logic?

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

Is the Reconciler Logic AI skill free?

Yes. It is published on GitHub by grafana 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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