add-api-endpoint

Create API layer components for a new entity. Includes usecase interactors (internal/usecase/), proto definitions (schema/proto/), gRPC handlers (internal/infrastructure/grpc/), and DI registration. Use when adding CRUD endpoints or Step 3 of CRUD workflow (after add-domain-entity).

181 stars

Best use case

add-api-endpoint is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Create API layer components for a new entity. Includes usecase interactors (internal/usecase/), proto definitions (schema/proto/), gRPC handlers (internal/infrastructure/grpc/), and DI registration. Use when adding CRUD endpoints or Step 3 of CRUD workflow (after add-domain-entity).

Teams using add-api-endpoint should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/add-api-endpoint/SKILL.md --create-dirs "https://raw.githubusercontent.com/majiayu000/claude-skill-registry/main/skills/data/add-api-endpoint/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/add-api-endpoint/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How add-api-endpoint Compares

Feature / Agentadd-api-endpointStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Create API layer components for a new entity. Includes usecase interactors (internal/usecase/), proto definitions (schema/proto/), gRPC handlers (internal/infrastructure/grpc/), and DI registration. Use when adding CRUD endpoints or Step 3 of CRUD workflow (after add-domain-entity).

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Add API Endpoint

Create complete API layer: usecase interactors, proto definitions, gRPC handlers, and DI registration.

## Prerequisites

- Domain entity created (use **add-domain-entity** skill first)
- Repository interface and implementation ready
- SQLBoiler models generated (`make migrate.up`)

## Workflow Overview

```
1. Usecase Input/Output  -->  internal/usecase/input/, output/
2. Interactor Interface  -->  internal/usecase/{actor}_{entity}.go
3. Interactor Impl       -->  internal/usecase/{actor}_{entity}_impl.go
4. Proto Definition      -->  schema/proto/rapid/{actor}_api/v1/
5. Generate Proto        -->  make generate.buf
6. Handler Marshaller    -->  handler/{actor}/marshaller/{entity}.go
7. Handler Methods       -->  handler/{actor}/{entity}.go
8. Update Handler Struct -->  handler/{actor}/handler.go
9. Register in DI        -->  dependency/dependency.go
10. Generate & Test      -->  make generate.mock && make test
```

## Step 1: Create Usecase Input/Output

Location: `internal/usecase/input/{actor}_{entity}.go`

Create input structs for each operation (Create, Get, List, Update, Delete).
Each struct needs a `Validate()` method.

See: [references/usecase-patterns.md](references/usecase-patterns.md#input-structs)

Location: `internal/usecase/output/{actor}_{entity}.go`

Create output struct only for List operations (returns slice + count).

See: [references/usecase-patterns.md](references/usecase-patterns.md#output-structs)

## Step 2: Create Interactor Interface

Location: `internal/usecase/{actor}_{entity}.go`

Define interface with `//go:generate` directive for mock generation.

See: [references/usecase-patterns.md](references/usecase-patterns.md#interactor-interface)

## Step 3: Implement Interactor

Location: `internal/usecase/{actor}_{entity}_impl.go`

Implement CRUD methods following transaction patterns:
- **Create**: Validate -> Create entity -> RWTx -> Get with Preload
- **Get**: Validate -> Get with Preload
- **List**: Validate -> List + Count with Preload
- **Update**: Validate -> RWTx(Get ForUpdate -> Update) -> Get with Preload
- **Delete**: Validate -> RWTx(Get ForUpdate -> Delete)

See: [references/usecase-patterns.md](references/usecase-patterns.md#interactor-implementation)

## Step 4: Define Protocol Buffers

Create two files:
- Model/Enum: `schema/proto/rapid/{actor}_api/v1/model_{entity}.proto`
- Request/Response: `schema/proto/rapid/{actor}_api/v1/api_{entity}.proto`

Then add RPCs to: `schema/proto/rapid/{actor}_api/v1/api.proto`

See: [references/proto-patterns.md](references/proto-patterns.md)

## Step 5: Generate Proto Code

```bash
make generate.buf
```

## Step 6: Create Handler Marshaller

Location: `internal/infrastructure/grpc/internal/handler/{actor}/marshaller/{entity}.go`

Convert between domain models and proto messages.

See: [references/handler-patterns.md](references/handler-patterns.md#marshaller)

## Step 7: Create Handler Methods

Location: `internal/infrastructure/grpc/internal/handler/{actor}/{entity}.go`

Implement gRPC handler methods that delegate to interactors.

See: [references/handler-patterns.md](references/handler-patterns.md#handler-methods)

## Step 8: Update Handler Struct

Location: `internal/infrastructure/grpc/internal/handler/{actor}/handler.go`

Add new interactor field and constructor parameter.

See: [references/handler-patterns.md](references/handler-patterns.md#handler-struct)

## Step 9: Register in DI

Location: `internal/infrastructure/dependency/dependency.go`

1. Add interactor field to `Dependency` struct
2. Initialize repository and interactor in `Inject()` method
3. Update `grpc/run.go` to pass interactor to handler constructor

See: [references/handler-patterns.md](references/handler-patterns.md#di-registration)

## Step 10: Generate Mocks & Test

```bash
make generate.mock
make test
```

## Checklist

- [ ] Input structs with `Validate()` method
- [ ] Output struct for List operation
- [ ] Interactor interface with `//go:generate`
- [ ] Interactor implementation with proper transaction handling
- [ ] Proto model/enum definitions
- [ ] Proto request/response messages with `openapiv2_schema`
- [ ] Proto service RPCs with HTTP annotations
- [ ] Proto code generated (`make generate.buf`)
- [ ] Handler marshaller (both directions + enums)
- [ ] Handler methods
- [ ] Handler struct updated
- [ ] DI configuration updated
- [ ] Mocks generated (`make generate.mock`)
- [ ] Tests passing (`make test`)

## Common Errors

| Error | Solution |
|-------|----------|
| `undefined: pb.Example` | Run `make generate.buf` |
| `undefined: mock_usecase.MockAdminExampleInteractor` | Run `make generate.mock` |
| Handler method not found | Check handler struct field name and interface registration |

Related Skills

add-api-endpoint-tassadar2499-novatune

181
from majiayu000/claude-skill-registry

Add a new minimal API endpoint to NovaTune with service, models, and tests

Add Admin API Endpoint

181
from majiayu000/claude-skill-registry

Add a new endpoint or endpoints to Ghost's Admin API at `ghost/api/admin/**`.

add-trpc-endpoint

174
from majiayu000/claude-skill-registry

Scaffold new tRPC API endpoints for the dealflow-network project with proper Zod validation, middleware, database functions, and client hooks. Use when adding new API routes, creating CRUD operations, or extending existing routers.

add-auth-endpoint

174
from majiayu000/claude-skill-registry

Add authentication endpoints (register, login, refresh, logout) to NovaTune

ux

159
from majiayu000/claude-skill-registry

This AI agent skill provides comprehensive guidance for creating professional and insightful User Experience (UX) designs, covering user research, information architecture, interaction design, visual guidance, and usability evaluation. It aims to produce actionable, user-centered solutions that avoid generic AI aesthetics.

UX Design & StrategyClaude

thor-skills

159
from majiayu000/claude-skill-registry

An entry point and router for AI agents to manage various THOR-related cybersecurity tasks, including running scans, analyzing logs, troubleshooting, and maintenance.

SecurityClaude

ontopo

159
from majiayu000/claude-skill-registry

An AI agent skill to search for Israeli restaurants, check table availability, view menus, and retrieve booking links via the Ontopo platform, acting as an unofficial interface to its data.

General Utilities

grail-miner

159
from majiayu000/claude-skill-registry

This skill assists in setting up, managing, and optimizing Grail miners on Bittensor Subnet 81, handling tasks like environment configuration, R2 storage, model checkpoint management, and performance tuning.

DevOps & Infrastructure

astro

159
from majiayu000/claude-skill-registry

This skill provides essential Astro framework patterns, focusing on server-side rendering (SSR), static site generation (SSG), middleware, and TypeScript best practices. It helps AI agents implement secure authentication, manage API routes, and debug rendering behaviors within Astro projects.

Coding & Development

chrome-debug

159
from majiayu000/claude-skill-registry

This skill empowers AI agents to debug web applications and inspect browser behavior using the Chrome DevTools Protocol (CDP), offering both collaborative (headful) and automated (headless) modes.

Coding & DevelopmentClaude

vly-money

159
from majiayu000/claude-skill-registry

Generate crypto payment links for supported tokens and networks, manage access to X402 payment-protected content, and provide direct access to the vly.money wallet interface.

Fintech & CryptoClaude

modal-deployment

159
from majiayu000/claude-skill-registry

Run Python code in the cloud with serverless containers, GPUs, and autoscaling using Modal. This skill enables agents to generate code for deploying ML models, running batch jobs, serving APIs, and scaling compute-intensive workloads.

DevOps & Infrastructure