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Golang Graphql

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samber
golang-graphql

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`.

Overview

Publishersamber
Repositorycc-skills-golang
Skill namegolang-graphql
Stars
3.3K
Forks
213
Bundled files
4
LicenseMIT
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Golang Graphql 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.
  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/samber/cc-skills-golang.git /tmp/cc-skills-golang
mkdir -p .claude/skills
cp -r /tmp/cc-skills-golang/skills/golang-graphql .claude/skills/golang-graphql
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Golang Graphql 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 Golang Graphql 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 Golang Graphql 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.

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:

  • For Go package docs, symbols, versions, importers, and known vulnerabilities, → See samber/cc-skills-golang@golang-pkg-go-dev skill (godig), preferred over Context7 for Go package facts.
  • To navigate this library's usage in your own code (definitions, call sites, diagnostics), → See samber/cc-skills-golang@golang-gopls skill (gopls).
  • Context7 remains a fallback for docs not indexed on pkg.go.dev.

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

graphql
# ✓ 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:

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

Resolver Patterns

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

go
// ✓ 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.

go
// ✓ 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.
go
// 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.

go
// 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.

go
// ✓ 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.

go
// 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.

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 Golang Graphql AI skill do?

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`.

Why use Golang Graphql on TypingMind?

Because you install it once and use it with any model. Golang Graphql 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 Golang Graphql in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samber/cc-skills-golang/tree/main/skills/golang-graphql. 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 Golang Graphql?

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 Golang Graphql?

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

Is the Golang Graphql AI skill free?

Yes. It is published on GitHub by samber under the MIT 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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