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encore-frontend

Connect a frontend application (React, Next.js, Vue, Svelte, etc.) to an Encore.ts backend.

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Precio sin confirmar★ 26 Estrellas de GitHubRegistro actualizado · 13 sept 2026agent-skill

Resumen

Connect a frontend application (React, Next.js, Vue, Svelte, etc.) to an Encore.ts backend.

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

Frontend Integration with Encore

Instructions

Encore provides tools to connect your frontend applications to your backend APIs.

Generate a TypeScript Client
# Generate client for local development
encore gen client --output=./frontend/src/client.ts --env=local

# Generate client for a deployed environment
encore gen client --output=./frontend/src/client.ts --env=staging

This generates a fully typed client based on your API definitions.

Using the Generated Client
// frontend/src/client.ts is auto-generated
import Client from "./client";

const client = new Client("http://localhost:4000");

// Fully typed API calls
const user = await client.user.getUser({ id: "123" });
console.log(user.email);

const newUser = await client.user.createUser({
  email: "new@example.com",
  name: "New User",
});
React Example
// frontend/src/components/UserProfile.tsx
import { useState, useEffect } from "react";
import Client from "../client";

const client = new Client(import.meta.env.VITE_API_URL);

export function UserProfile({ userId }: { userId: string }) {
  const [user, setUser] = useState(null);
  const [loading, setLoading] = useState(true);
  const [error, setError] = useState(null);

  useEffect(() => {
    client.user.getUser({ id: userId })
      .then(setUser)
      .catch(setError)
      .finally(() => setLoading(false));
  }, [userId]);

  if (loading) return <div>Loading...</div>;
  if (error) return <div>Error: {error.message}</div>;
  
  return (
    <div>
      <h1>{user.name}</h1>
      <p>{user.email}</p>
    </div>
  );
}
React with TanStack Query
import { useQuery, useMutation, useQueryClient } from "@tanstack/react-query";
import Client from "../client";

const client = new Client(import.meta.env.VITE_API_URL);

export function UserProfile({ userId }: { userId: string }) {
  const { data: user, isLoading, error } = useQuery({
    queryKey: ["user", userId],
    queryFn: () => client.user.getUser({ id: userId }),
  });

  if (isLoading) return <div>Loading...</div>;
  if (error) return <div>Error: {error.message}</div>;
  
  return <div>{user.name}</div>;
}

export function CreateUserForm() {
  const queryClient = useQueryClient();
  
  const mutation = useMutation({
    mutationFn: (data: { email: string; name: string }) => 
      client.user.createUser(data),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ["users"] });
    },
  });

  const handleSubmit = (e: React.FormEvent<HTMLFormElement>) => {
    e.preventDefault();
    const formData = new FormData(e.currentTarget);
    mutation.mutate({
      email: formData.get("email") as string,
      name: formData.get("name") as string,
    });
  };

  return (
    <form onSubmit={handleSubmit}>
      <input name="email" type="email" required />
      <input name="name" required />
      <button type="submit" disabled={mutation.isPending}>
        {mutation.isPending ? "Creating..." : "Create User"}
      </button>
    </form>
  );
}
Next.js Server Components
// app/users/[id]/page.tsx
import Client from "@/lib/client";

const client = new Client(process.env.API_URL);

export default async function UserPage({ params }: { params: { id: string } }) {
  const user = await client.user.getUser({ id: params.id });
  
  return (
    <div>
      <h1>{user.name}</h1>
      <p>{user.email}</p>
    </div>
  );
}
CORS Configuration

Configure CORS in your encore.app file:

{
    "id": "my-app",
    "global_cors": {
        "allow_origins_with_credentials": [
            "http://localhost:3000",
            "https://myapp.com",
            "https://*.myapp.com"
        ]
    }
}
CORS Options
OptionDescription
allow_origins_without_credentialsOrigins allowed for non-credentialed requests (default: ["*"])
allow_origins_with_credentialsOrigins allowed for credentialed requests (cookies, auth headers)
allow_headersAdditional request headers to allow
expose_headersAdditional response headers to expose
debugEnable CORS debug logging
Authentication from Frontend

For authenticated requests, pass the Authorization header:

// Using fetch
const response = await fetch("http://localhost:4000/profile", {
  headers: {
    "Authorization": `Bearer ${token}`,
  },
});

// Or include credentials for cookie-based auth
const response = await fetch("http://localhost:4000/profile", {
  credentials: "include",
});

With TanStack Query, configure a default fetcher:

const queryClient = new QueryClient({
  defaultOptions: {
    queries: {
      queryFn: async ({ queryKey }) => {
        const response = await fetch(queryKey[0] as string, {
          headers: { Authorization: `Bearer ${getToken()}` },
        });
        if (!response.ok) throw new Error("Request failed");
        return response.json();
      },
    },
  },
});
Using Plain Fetch

If you prefer not to use the generated client:

async function getUser(id: string) {
  const response = await fetch(`http://localhost:4000/users/${id}`);
  if (!response.ok) {
    throw new Error(`HTTP error: ${response.status}`);
  }
  return response.json();
}

async function createUser(email: string, name: string) {
  const response = await fetch("http://localhost:4000/users", {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({ email, name }),
  });
  if (!response.ok) {
    throw new Error(`HTTP error: ${response.status}`);
  }
  return response.json();
}
Environment Variables
# .env.local (Next.js)
NEXT_PUBLIC_API_URL=http://localhost:4000

# .env (Vite)
VITE_API_URL=http://localhost:4000
Guidelines
  • Use encore gen client to generate typed API clients
  • Regenerate the client when your API changes
  • Configure CORS in encore.app for production domains
  • Use allow_origins_with_credentials for authenticated requests
  • Include Authorization header for token-based auth
  • Use credentials: "include" for cookie-based auth
  • Use environment variables for API URLs (different per environment)
  • The generated client handles errors and types automatically
Ver fuente ↗
Metadatos del archivo
name: encore-frontend
description: Connect a frontend application (React, Next.js, Vue, Svelte, etc.) to an Encore.ts backend.
when_to_use: >-
  User wants to generate a TypeScript API client for the browser (`encore gen client`), call Encore endpoints from React/Next.js/Vue/Svelte/SvelteKit/Remix/Astro, configure CORS in `encore.app`, or wire authentication tokens through a generated client. Trigger phrases: "TypeScript client", "API client", "Next.js frontend", "React frontend", "encore gen client", "CORS", "browser fetch", "SPA", "frontend can call this backend".
Ver texto original
---
name: encore-frontend
description: Connect a frontend application (React, Next.js, Vue, Svelte, etc.) to an Encore.ts backend.
when_to_use: >-
  User wants to generate a TypeScript API client for the browser (`encore gen client`), call Encore endpoints from React/Next.js/Vue/Svelte/SvelteKit/Remix/Astro, configure CORS in `encore.app`, or wire authentication tokens through a generated client. Trigger phrases: "TypeScript client", "API client", "Next.js frontend", "React frontend", "encore gen client", "CORS", "browser fetch", "SPA", "frontend can call this backend".
---

# Frontend Integration with Encore

## Instructions

Encore provides tools to connect your frontend applications to your backend APIs.

### Generate a TypeScript Client

```bash
# Generate client for local development
encore gen client --output=./frontend/src/client.ts --env=local

# Generate client for a deployed environment
encore gen client --output=./frontend/src/client.ts --env=staging
```

This generates a fully typed client based on your API definitions.

### Using the Generated Client

```typescript
// frontend/src/client.ts is auto-generated
import Client from "./client";

const client = new Client("http://localhost:4000");

// Fully typed API calls
const user = await client.user.getUser({ id: "123" });
console.log(user.email);

const newUser = await client.user.createUser({
  email: "new@example.com",
  name: "New User",
});
```

### React Example

```tsx
// frontend/src/components/UserProfile.tsx
import { useState, useEffect } from "react";
import Client from "../client";

const client = new Client(import.meta.env.VITE_API_URL);

export function UserProfile({ userId }: { userId: string }) {
  const [user, setUser] = useState(null);
  const [loading, setLoading] = useState(true);
  const [error, setError] = useState(null);

  useEffect(() => {
    client.user.getUser({ id: userId })
      .then(setUser)
      .catch(setError)
      .finally(() => setLoading(false));
  }, [userId]);

  if (loading) return <div>Loading...</div>;
  if (error) return <div>Error: {error.message}</div>;
  
  return (
    <div>
      <h1>{user.name}</h1>
      <p>{user.email}</p>
    </div>
  );
}
```

### React with TanStack Query

```tsx
import { useQuery, useMutation, useQueryClient } from "@tanstack/react-query";
import Client from "../client";

const client = new Client(import.meta.env.VITE_API_URL);

export function UserProfile({ userId }: { userId: string }) {
  const { data: user, isLoading, error } = useQuery({
    queryKey: ["user", userId],
    queryFn: () => client.user.getUser({ id: userId }),
  });

  if (isLoading) return <div>Loading...</div>;
  if (error) return <div>Error: {error.message}</div>;
  
  return <div>{user.name}</div>;
}

export function CreateUserForm() {
  const queryClient = useQueryClient();
  
  const mutation = useMutation({
    mutationFn: (data: { email: string; name: string }) => 
      client.user.createUser(data),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ["users"] });
    },
  });

  const handleSubmit = (e: React.FormEvent<HTMLFormElement>) => {
    e.preventDefault();
    const formData = new FormData(e.currentTarget);
    mutation.mutate({
      email: formData.get("email") as string,
      name: formData.get("name") as string,
    });
  };

  return (
    <form onSubmit={handleSubmit}>
      <input name="email" type="email" required />
      <input name="name" required />
      <button type="submit" disabled={mutation.isPending}>
        {mutation.isPending ? "Creating..." : "Create User"}
      </button>
    </form>
  );
}
```

### Next.js Server Components

```tsx
// app/users/[id]/page.tsx
import Client from "@/lib/client";

const client = new Client(process.env.API_URL);

export default async function UserPage({ params }: { params: { id: string } }) {
  const user = await client.user.getUser({ id: params.id });
  
  return (
    <div>
      <h1>{user.name}</h1>
      <p>{user.email}</p>
    </div>
  );
}
```

### CORS Configuration

Configure CORS in your `encore.app` file:

```json
{
    "id": "my-app",
    "global_cors": {
        "allow_origins_with_credentials": [
            "http://localhost:3000",
            "https://myapp.com",
            "https://*.myapp.com"
        ]
    }
}
```

### CORS Options

| Option | Description |
|--------|-------------|
| `allow_origins_without_credentials` | Origins allowed for non-credentialed requests (default: `["*"]`) |
| `allow_origins_with_credentials` | Origins allowed for credentialed requests (cookies, auth headers) |
| `allow_headers` | Additional request headers to allow |
| `expose_headers` | Additional response headers to expose |
| `debug` | Enable CORS debug logging |

### Authentication from Frontend

For authenticated requests, pass the Authorization header:

```typescript
// Using fetch
const response = await fetch("http://localhost:4000/profile", {
  headers: {
    "Authorization": `Bearer ${token}`,
  },
});

// Or include credentials for cookie-based auth
const response = await fetch("http://localhost:4000/profile", {
  credentials: "include",
});
```

With TanStack Query, configure a default fetcher:

```typescript
const queryClient = new QueryClient({
  defaultOptions: {
    queries: {
      queryFn: async ({ queryKey }) => {
        const response = await fetch(queryKey[0] as string, {
          headers: { Authorization: `Bearer ${getToken()}` },
        });
        if (!response.ok) throw new Error("Request failed");
        return response.json();
      },
    },
  },
});
```

### Using Plain Fetch

If you prefer not to use the generated client:

```typescript
async function getUser(id: string) {
  const response = await fetch(`http://localhost:4000/users/${id}`);
  if (!response.ok) {
    throw new Error(`HTTP error: ${response.status}`);
  }
  return response.json();
}

async function createUser(email: string, name: string) {
  const response = await fetch("http://localhost:4000/users", {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({ email, name }),
  });
  if (!response.ok) {
    throw new Error(`HTTP error: ${response.status}`);
  }
  return response.json();
}
```

### Environment Variables

```bash
# .env.local (Next.js)
NEXT_PUBLIC_API_URL=http://localhost:4000

# .env (Vite)
VITE_API_URL=http://localhost:4000
```

### Guidelines

- Use `encore gen client` to generate typed API clients
- Regenerate the client when your API changes
- Configure CORS in `encore.app` for production domains
- Use `allow_origins_with_credentials` for authenticated requests
- Include `Authorization` header for token-based auth
- Use `credentials: "include"` for cookie-based auth
- Use environment variables for API URLs (different per environment)
- The generated client handles errors and types automatically

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Apache-2.0
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Licencia: Apache-2.0

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • No explicit 'when not to use' or limitations section, which could lead to misuse in non-TypeScript or non-browser contexts.
  • Low GitHub adoption signal
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 26 GitHub stars
  • Stars/forks activity: 26 stars, 5 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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Empieza con una tarea pequeña

  1. 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
  2. 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
  3. 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

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Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente
encoredev/skills
Licencia
Apache-2.0
Versión
Unknown
Último push de GitHub
4 sept 2026
Registro actualizado
13 sept 2026
Ruta de instrucciones
encore/frontend/SKILL.md @ 741d95a38b44

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

58/100

Prometedor

Confianza

57/100

Do not auto-install

Auditoría

70/100

Requiere revisión

Abrir auditoría completaVer informe de evaluación
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • No explicit 'when not to use' or limitations section, which could lead to misuse in non-TypeScript or non-browser contexts.
  • Low GitHub adoption signal
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 26 GitHub stars
  • Stars/forks activity: 26 stars, 5 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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Más detalles
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      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "coding-agents",
      "agent-skill"
    ],
    "known_risks": [
      "No explicit 'when not to use' or limitations section, which could lead to misuse in non-TypeScript or non-browser contexts.",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Low GitHub adoption signal",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 26 GitHub stars",
      "Stars/forks activity: 26 stars, 5 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 70,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "No explicit 'when not to use' or limitations section, which could lead to misuse in non-TypeScript or non-browser contexts.",
      "Low GitHub adoption signal",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 58,
    "label": "Promising"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "Coding agents",
    "maintenance": "1mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "No explicit 'when not to use' or limitations section, which could lead to misuse in non-TypeScript or non-browser contexts.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision"
  ],
  "agent_contract": {
    "task_input": "Use encore-frontend in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 65/100 Manual review",
      "Audit: 70/100 Needs review",
      "Safety: 22/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "encoredev-encore-frontend (encore-frontend)",
      "install_command": "npx skills add encoredev/skills --skill encore-frontend",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "encoredev-encore-frontend",
      "task": "Use encore-frontend in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/encoredev-encore-frontend",
    "api": "https://www.openagentskill.com/api/agent/skills/encoredev-encore-frontend",
    "audit": "https://www.openagentskill.com/skills/encoredev-encore-frontend/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=encoredev-encore-frontend&task=Use%20encore-frontend%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20encore-frontend%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20encore-frontend%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/encoredev-encore-frontend/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/encoredev-encore-frontend"
  }
}

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