golang-graphql

par samber

Implements GraphQL APIs in Golang using gqlgen or graphql-go. Apply when building GraphQL servers, designing schemas, writing resolvers, handling subscriptions, or integrating GraphQL with existing Go HTTP services. Also apply when the codebase imports `github.com/99designs/gqlgen` or `github.com/graph-gophers/graphql-go`.

npx skills add https://github.com/samber/cc-skills-golang --skill golang-graphql

Persona: You are a Go GraphQL engineer. You design schemas deliberately, batch database access to prevent N+1, and treat query complexity limits as non-optional in production.

Modes:

  • Build mode — generating new schemas, resolvers, or server setup: follow the skill's sequential instructions; launch a background agent to grep for existing resolver patterns and naming conventions before generating new code.
  • Review mode — auditing a GraphQL codebase or PR: use a sub-agent to scan for N+1 resolver patterns, missing complexity caps, global DataLoaders, and introspection enabled in production, in parallel with reading the business logic.

Community default. A company skill that explicitly supersedes samber/cc-skills-golang@golang-graphql skill takes precedence.

Go GraphQL Best Practices

Both major libraries are schema-first: write SDL (.graphql files), bind Go resolvers. Choose based on project size and team preferences.

This skill is not exhaustive. Refer to each library's official documentation and code examples for current API signatures. Context7 can help as a discoverability platform.

Library Choice

LibraryApproachType safetyBuild stepBest for
github.com/99designs/gqlgenCodegenCompile-timego generateLarge schemas, federation, strict types
github.com/graph-gophers/graphql-goReflectionParse-timeNoneSimple schemas, fast iteration
github.com/graphql-go/graphqlCode-firstRuntimeNoneAvoid — verbose, no SDL

Pick gqlgen when: Apollo Federation is required, schema is large (100+ types), or the team wants generated stubs and zero reflection overhead.

Pick graph-gophers when: schema is small/medium, the build pipeline should stay simple, or a dynamic schema is needed.

For deep-dive on each library, see gqlgen reference and graphql-go reference.

Schema Design

# ✓ Good — explicit nullability; ID scalar for opaque identifiers
type User {
  id: ID!
  email: String! # non-null: the server can always return this
  bio: String # nullable: may be unset
  posts(first: Int = 10, after: String): PostConnection!
}

# ✗ Bad — Int ID leaks implementation details, breaks client caching
type Post {
  id: Int!
}

Nullability rule: mark a field ! only when the server can always return a value. A resolver error on a non-null field nulls the parent object, causing cascade failures; nullable fields only null the field itself.

Pagination: use Relay cursor connections (Connection/Edge/PageInfo) for list fields. Avoid offset pagination on large datasets — cursors are stable under concurrent writes.

Mutations: wrap results in an envelope type so clients receive business errors alongside partial results without polluting the GraphQL errors array:

type CreateUserPayload {
  user: User
  errors: [UserError!]!
}

Resolver Patterns

Keep resolvers thin — they translate GraphQL inputs to domain calls and domain responses to GraphQL outputs.

// ✓ Good — resolver delegates to service layer
func (r *mutationResolver) CreateUser(ctx context.Context, input model.CreateUserInput) (*model.CreateUserPayload, error) {
    user, err := r.userService.Create(ctx, input.Email, input.Name)
    if err != nil {
        return nil, formatError(err)
    }
    return &model.CreateUserPayload{User: toGQLUser(user)}, nil
}

// ✗ Bad — SQL in resolver, no separation of concerns
func (r *queryResolver) User(ctx context.Context, id string) (*model.User, error) {
    row := r.db.QueryRowContext(ctx, "SELECT * FROM users WHERE id = $1", id)
    // ...
}

Use per-type resolver structs (userResolver, postResolver) rather than one monolithic resolver for all fields.

N+1 Prevention (DataLoaders)

Each User.posts resolver fires a SQL query per user without batching — O(n) DB calls for n users. DataLoaders solve this by coalescing per-field loads into a single batch query.

Critical rule: DataLoaders MUST be created per-request in HTTP middleware, never globally. A global DataLoader caches across requests — stale data, potential cross-user data leakage.

// ✓ Good — per-request DataLoader in middleware
func DataLoaderMiddleware(db *sql.DB, next http.Handler) http.Handler {
    return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
        loaders := &Loaders{
            PostsByUserID: newPostsByUserIDLoader(r.Context(), db),
        }
        ctx := context.WithValue(r.Context(), loadersKey, loaders)
        next.ServeHTTP(w, r.WithContext(ctx))
    })
}

// ✗ Bad — global DataLoader shared across all requests
var globalLoader = newPostsByUserIDLoader(context.Background(), db)

In gqlgen, mark batched fields with resolver: true in gqlgen.yml to force a dedicated resolver method. See gqlgen reference for full DataLoader wiring.

Authentication and Authorization

Two-layer model:

  1. HTTP middleware — extract and validate tokens, stash identity in context.Context.
  2. Schema directives (gqlgen) or resolver checks (graphql-go) — enforce per-field authorization.
// HTTP middleware layer (both libraries)
func AuthMiddleware(next http.Handler) http.Handler {
    return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
        token := r.Header.Get("Authorization")
        user, err := validateToken(token)
        if err != nil {
            http.Error(w, "Unauthorized", http.StatusUnauthorized)
            return
        }
        ctx := context.WithValue(r.Context(), userKey, user)
        next.ServeHTTP(w, r.WithContext(ctx))
    })
}

In gqlgen, use @hasRole schema directives for field-level authorization — authorization policy lives in the schema, not scattered across resolvers. See gqlgen reference.

Error Handling

Never return raw internal errors — they leak SQL messages, stack traces, or service internals to clients.

// gqlgen — custom ErrorPresenter strips internal details
srv.SetErrorPresenter(func(ctx context.Context, err error) *gqlerror.Error {
    var gqlErr *gqlerror.Error
    if errors.As(err, &gqlErr) {
        return gqlErr // already formatted
    }
    // log internal err here
    return gqlerror.Errorf("internal error") // safe client message
})

// Add extension codes for client-side error handling
return nil, &gqlerror.Error{
    Message: "user not found",
    Extensions: map[string]any{"code": "NOT_FOUND"},
}

For graph-gophers, implement the ResolverError interface to attach Extensions(). See graphql-go reference.

Use graphql.AddError(ctx, err) in gqlgen for non-fatal field errors where the resolver can still return partial data.

For error wrapping patterns, see the samber/cc-skills-golang@golang-error-handling skill.

Subscriptions

Subscriptions use long-lived WebSocket connections. The critical discipline: always respect context cancellation — a leaked goroutine per disconnected client exhausts resources silently.

// ✓ Good — closes channel when client disconnects
func (r *subscriptionResolver) MessageAdded(ctx context.Context, room string) (<-chan *model.Message, error) {
    ch := make(chan *model.Message, 1)
    sub := r.pubsub.Subscribe(room) // subscribe once before the goroutine
    go func() {
        defer close(ch) // always close; signals iteration to stop
        for {
            select {
            case <-ctx.Done():
                return // client disconnected
            case msg := <-sub:
                select {
                case ch <- msg:
                case <-ctx.Done():
                    return
                }
            }
        }
    }()
    return ch, nil
}

// ✗ Bad — goroutine leaks forever when client disconnects
func (r *subscriptionResolver) MessageAdded(ctx context.Context, room string) (<-chan *model.Message, error) {
    ch := make(chan *model.Message, 1)
    go func() {
        for msg := range r.pubsub.Subscribe(room) {
            ch <- msg // blocks forever after client gone
        }
    }()
    return ch, nil
}

Performance and Safety

Production GraphQL servers require explicit limits. Without them, a single deeply nested query exhausts CPU and memory.

// gqlgen — wire these into every production handler
srv := handler.NewDefaultServer(es)
srv.Use(extension.FixedComplexityLimit(200)) // max cost per query

// Gate introspection — only in non-production environments
if os.Getenv("ENV") != "production" {
    srv.Use(extension.Introspection{})
}

For graph-gophers: graphql.MaxDepth(10) and graphql.MaxParallelism(10) options at ParseSchema time.

Query allow-listing: in production, consider persisted queries (gqlgen APQ extension) to reject arbitrary query strings.

Common Mistakes

MistakeWhy it mattersFix
N+1 queries in child resolversOne SQL per parent row → O(n) DB callsUse per-request DataLoader
Global DataLoaderCross-request cache — stale data, data leaksCreate DataLoader in request middleware
Editing models_gen.go directlyNext go generate wipes hand editsUse autobind or models.<T>.model in gqlgen.yml
Forgetting go generate after schema changeResolver interface mismatch at compile timeRe-run go tool gqlgen generate
int field in graph-gophers resolverLibrary requires int32 for Int scalarUse int32 (or float64 for Float)
Introspection enabled in productionExposes full schema to attackersGate with ENV check
No complexity capDeeply nested query → CPU/memory DoSextension.FixedComplexityLimit(N)
Leaking DB errors from resolversExposes SQL internals to clientsWrap in ErrorPresenter / ResolverError
Subscription goroutine leakClient disconnect → goroutine runs foreverdefer close(ch) + select ctx.Done()
Nullable field for always-required dataClients must null-check everywhereMark ! in schema; return error from resolver

Deep Dives

  • gqlgen reference — codegen workflow, gqlgen.yml, DataLoaders, Federation v2, directives
  • graphql-go reference — reflection resolver model, type mapping, tracing
  • Testing — gqlgen client harness, gqltesting, httptest patterns

Cross-References

  • → See samber/cc-skills-golang@golang-context skill for context propagation in resolvers and subscriptions
  • → See samber/cc-skills-golang@golang-error-handling skill for error wrapping and sentinel patterns
  • → See samber/cc-skills-golang@golang-testing skill for table-driven and integration test patterns
  • → See samber/cc-skills-golang@golang-observability skill for tracing and metrics in resolvers
  • → See samber/cc-skills-golang@golang-security skill for input validation and injection prevention
  • → See samber/cc-skills-golang@golang-database skill for N+1 query patterns and DataLoader database batching

References

If you encounter a bug or unexpected behavior in gqlgen, open an issue at https://github.com/99designs/gqlgen/issues.

If you encounter a bug or unexpected behavior in graph-gophers/graphql-go, open an issue at https://github.com/graph-gophers/graphql-go/issues.

Plus de skills de samber

golang-code-style
samber
Golang code style conventions — line length and breaking, variable declarations, control flow clarity, when comments help vs hurt. Use when writing or reviewing Go code, asking about style or clarity, or establishing project coding standards. Not for naming conventions (→ See `samber/cc-skills-golang@golang-naming` skill), linter configuration (→ See `samber/cc-skills-golang@golang-lint` skill), or doc comments (→ See `samber/cc-skills-golang@golang-documentation` skill).
developmentcode-review
golang-testing
samber
Production-ready Golang tests — table-driven tests, testify suites and mocks, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, code coverage, integration tests, idiomatic test naming. Use when writing or reviewing Go tests, choosing a testing approach, setting up Go test CI, or debugging flaky/slow tests. For testify-specific APIs see `samber/cc-skills-golang@golang-stretchr-testify`; for measurement methodology see...
developmenttestingcode-review
golang-design-patterns
samber
Modèles de conception idiomatiques en Golang — options fonctionnelles, constructeurs, flux et cascade d'erreurs, gestion des ressources et cycle de vie, arrêt gracieux, résilience, architecture, injection de dépendances, traitement des données, streaming, et plus. À appliquer lors du choix explicite entre des modèles architecturaux, de l'implémentation d'options fonctionnelles, de la conception d'API de constructeurs, de la mise en place d'un arrêt gracieux, de l'application de modèles de résilience, ou pour demander quel modèle Go idiomatique correspond à un problème spécifique.
developmentdesigncode-review
golang-error-handling
samber
Idiomatic Golang error handling — creation, wrapping with %w, errors.Is/As, errors.Join, custom error types, sentinel errors, panic/recover, the single handling rule, structured logging with slog, HTTP request logging middleware, and samber/oops for production errors. Built to make logs usable at scale with log aggregation 3rd-party tools. Apply when creating, wrapping, inspecting, or logging errors in Go code. For samber/oops specifics → See `samber/cc-skills-golang@golang-samber-oops`...
developmentcode-review
golang-performance
samber
Modèles et méthodologie d'optimisation des performances Golang - si goulot d'étranglement X, alors appliquer Y. Couvre la réduction des allocations, l'efficacité CPU, la disposition mémoire, le réglage du GC, le pooling, la mise en cache et l'optimisation des chemins chauds. À utiliser lorsque le profilage ou les benchmarks ont identifié un goulot d'étranglement et que vous avez besoin du bon modèle d'optimisation pour le corriger. À utiliser également lors d'une revue de code de performance pour suggérer des améliorations ou des benchmarks qui pourraient aider à identifier des gains de performance rapides. Pas pour la méthodologie de mesure (→...
developmentcode-review
golang-security
samber
Bonnes pratiques de sécurité et prévention des vulnérabilités pour Golang. Couvre l'injection (SQL, commande, XSS), la cryptographie, la sécurité du système de fichiers, la sécurité réseau, les cookies, la gestion des secrets, la sécurité mémoire et la journalisation. À appliquer lors de l'écriture, de la révision ou de l'audit de code Go pour la sécurité, ou lors du travail sur tout code risqué impliquant la cryptographie, les E/S, la gestion des secrets, le traitement des entrées utilisateur ou l'authentification. Inclut la configuration des outils de sécurité.
securitycode-reviewdevelopment
golang-database
samber
Guide complet pour l'accès aux bases de données en Go — requêtes paramétrées, scan de structures, colonnes NULLables, transactions, niveaux d'isolation, SELECT FOR UPDATE, pool de connexions, traitement par lots, propagation de contexte et outils de migration. À utiliser lors de l'écriture, de la révision ou du débogage de code Golang interagissant avec PostgreSQL, MariaDB, MySQL ou SQLite ; pour les tests de bases de données ; ou pour des questions concernant database/sql, sqlx ou pgx. Ne génère PAS de schémas de base de données ni de SQL de migration.
developmentdatabase
golang-lint
samber
Bonnes pratiques de linting et configuration de golangci-lint pour les projets Golang — exécution des linters, configuration de .golangci.yml, suppression des avertissements avec les directives nolint, interprétation des résultats de linting et sélection des linters. À utiliser lors de la configuration de golangci-lint, en cas de questions sur les avertissements de linting ou les suppressions nolint, lors de la mise en place d'outils de qualité de code, ou pour choisir des linters. À utiliser également lorsque l'utilisateur mentionne golangci-lint, go vet, staticcheck ou revive.
developmentcode-reviewtesting