encore-go-api

encoredev/skills · updated Apr 8, 2026

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$npx skills add https://github.com/encoredev/skills --skill encore-go-api
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summary

When creating API endpoints with Encore Go, follow these patterns:

skill.md

Encore Go API Endpoints

Instructions

When creating API endpoints with Encore Go, follow these patterns:

1. Basic API Endpoint

Use the //encore:api annotation above your function:

package user

import "context"

type GetUserParams struct {
    ID string
}

type User struct {
    ID    string `json:"id"`
    Email string `json:"email"`
    Name  string `json:"name"`
}

//encore:api public method=GET path=/users/:id
func GetUser(ctx context.Context, params *GetUserParams) (*User, error) {
    // Implementation
    return &User{ID: params.ID, Email: "[email protected]", Name: "John"}, nil
}

2. POST with Request Body

type CreateUserParams struct {
    Email string `json:"email"`
    Name  string `json:"name"`
}

//encore:api public method=POST path=/users
func CreateUser(ctx context.Context, params *CreateUserParams) (*User, error) {
    // Implementation
    return &User{ID: "new-id", Email: params.Email, Name: params.Name}, nil
}

API Annotation Options

Option Values Description
public - Accessible from outside
private - Only callable from other services
auth - Requires authentication
method GET, POST, PUT, PATCH, DELETE HTTP method
path string URL path with :param for path params
sensitive - Redacts request/response payloads from traces

Examples

//encore:api public method=GET path=/health
//encore:api private method=POST path=/internal/process
//encore:api auth method=GET path=/profile
//encore:api public sensitive method=POST path=/auth/login

Sensitive Data

Mark sensitive fields to redact them from tracing logs:

type LoginParams struct {
    Email    string `json:"email"`
    Password string `json:"password" encore:"sensitive"`
}

Or mark the entire endpoint as sensitive in the annotation:

//encore:api public sensitive method=POST path=/auth/login
func Login(ctx context.Context, params *LoginParams) (*TokenResponse, error) {
    // Request and response will be redacted from traces
}

Custom HTTP Status Codes

Return custom HTTP status codes using the encore:"httpstatus" tag:

type CreateResponse struct {
    ID     string `json:"id"`
    Status int    `encore:"httpstatus"`
}

//encore:api public method=POST path=/items
func CreateItem(ctx context.Context, params *CreateParams) (*CreateResponse, error) {
    item := createItem(params)
    return &CreateResponse{
        ID:     item.ID,
        Status: 201,  // Returns HTTP 201 Created
    }, nil
}

Request Parameter Sources

Path Parameters

// Path: /users/:id
type GetUserParams struct {
    ID string  // Automatically mapped from :id
}

Query Parameters

// Path: /users
type ListUsersParams struct {
    Limit  int `query:"limit"`
    Offset int `query:"offset"`
}

//encore:api public method=GET path=/users
func ListUsers(ctx context.Context, params *ListUsersParams) (*ListResponse, error) {
    // params.Limit and params.Offset come from query string
}

Headers

type WebhookParams struct {
    Signature string `header:"X-Webhook-Signature"`
    Payload   string `json:"payload"`
}

Cookies

import "net/http"

type AuthParams struct {
    SessionCookie *http.Cookie `cookie:"session"`
    CSRFToken     string       `header:"X-CSRF-Token"`
}

//encore:api auth method=POST path=/logout
func Logout(ctx context.Context, params *AuthParams) error {
    // Access params.SessionCookie.Value
    return nil
}

Raw Endpoints

Use //encore:api raw for webhooks or direct HTTP access:

import "net/http"

//encore:api public raw path=/webhooks/stripe method=POST
func StripeWebhook(w http.ResponseWriter, req *http.Request) {
    sig := req.Header.Get("Stripe-Signature")
    // Handle raw request...
    w.WriteHeader(http.StatusOK)
}

Response Types

Standard Response

type Response struct {
    Message string `json:"message"`
}

//encore:api public method=GET path=/hello
func Hello(ctx context.Context) (*Response, error) {
    return &Response{Message: "Hello, World!"}, nil
}

No Response Body

//encore:api public method=DELETE path=/users/:id
func DeleteUser(ctx context.Context, params *DeleteParams) error {
    // Return only error (no response body on success)
    return nil
}

No Request Parameters

//encore:api public method=GET path=/health
func Health(ctx context.Context) (*HealthResponse, error) {
    return &HealthResponse{Status: "ok"}, nil
}

Error Handling

Use errs package for proper HTTP error responses:

import "encore.dev/beta/errs"

//encore:api public method=GET path=/users/:id
func GetUser(ctx context.Context, params *GetUserParams) (*User, error) {
    user, err := findUser(params.ID)
    if err != nil {
        return nil, err
    }
    if user == nil {
        return nil, &errs.Error{
            Code:    errs.NotFound,
            Message: "user not found",
        }
    }
    return user, nil
}

Common Error Codes

Code HTTP Status Usage
errs.NotFound 404 Resource doesn't exist
how to use encore-go-api

How to use encore-go-api on Cursor

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1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add encore-go-api
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/encoredev/skills --skill encore-go-api

The skills CLI fetches encore-go-api from GitHub repository encoredev/skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/encore-go-api

Reload or restart Cursor to activate encore-go-api. Access the skill through slash commands (e.g., /encore-go-api) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.548 reviews
  • Shikha Mishra· Dec 20, 2024

    I recommend encore-go-api for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Anika Thomas· Dec 12, 2024

    We added encore-go-api from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Meera Choi· Dec 4, 2024

    Solid pick for teams standardizing on skills: encore-go-api is focused, and the summary matches what you get after install.

  • Sofia Khanna· Dec 4, 2024

    encore-go-api reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • William Singh· Nov 27, 2024

    encore-go-api has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sofia Sethi· Nov 23, 2024

    I recommend encore-go-api for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sofia Shah· Nov 23, 2024

    Registry listing for encore-go-api matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Rahul Santra· Nov 11, 2024

    Solid pick for teams standardizing on skills: encore-go-api is focused, and the summary matches what you get after install.

  • Kwame Dixit· Nov 3, 2024

    Useful defaults in encore-go-api — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Anika Li· Oct 22, 2024

    Registry listing for encore-go-api matched our evaluation — installs cleanly and behaves as described in the markdown.

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