MCPInstall

encore-getting-started

Set up Encore.ts from scratch. Install the CLI, log in, create an app, check that it runs, and connect Encore's MCP servers, with a pointer to the skill for each step. Ends where building starts. Not for architecture or feature questions.

Installs
678
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/encoredev/skills --skill encore-getting-started
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads encore-getting-started automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Setting Up Encore.ts

Instructions

This guide is for Encore.ts. For Encore Go, use encore-go-getting-started. If the user hasn't said which language they want, ask.

Do the steps in order. Each step says how to tell it worked. If a step fails, load the skill it names.

1. Check the CLI

encore version
  • Prints encore version v...: go to step 2.
  • Command not found: install it (encore-install), then go to step 2.

2. Log in

Skip this step if the user only wants to run the app locally.

encore auth whoami
  • logged in as <email>: go to step 3.
  • not logged in.: start encore auth login in the background. Send the user the pairing code and URL it prints, and ask them to approve it in a browser on any device. Wait for Successfully logged in! (encore-login).
  • logged in as app <app-id>, or no person can approve a login (CI): an auth key can't create apps. Ask the user to create the app in the Cloud Dashboard, then run encore app clone <app-id>, cd into it, and go to step 4.

3. Create the app

encore app create my-app --example=ts/hello-world
cd my-app
  • Ends with Successfully created app my-app!: go to step 4.
  • Keep the --example flag. In a terminal, the CLI asks for a language and template when it's missing. Without a terminal, which is how agents usually run commands, it can't ask, and creates an empty Go app instead.
  • Empty app: for an app with no services, use --example=ts/empty instead, and skip step 4.
  • Other templates and errors: see encore-create-app.

4. Check that it runs

encore check 'curl /hello/world'
  • Prints {"message":"Hello world!"} and exits 0: go to step 5.
  • Fails: see encore-run.

To keep the app running for the user, start encore run in the background, never in the foreground (encore-run). The API is at http://localhost:4000, and the local development dashboard, with a trace of every request, is at http://localhost:9400.

5. Connect Encore's MCP servers

The MCP servers let you inspect and call the app while you build it, and read its deploys once it's on Encore Cloud. If the user created the app with --llm-rules=<tool>, the local server may already be configured for that tool: check before adding it again.

  1. Local server: from the app's root directory, run encore mcp start. It prints MCP stdio Command: encore mcp run --app=<app-id>. Add that command to the user's tool. In Claude Code:

    claude mcp add --transport stdio encore-local -- encore mcp run --app=<app-id>
    
  2. Encore Cloud server (only if you logged in at step 2):

    claude mcp add --transport http --scope user encore-cloud https://api.encore.dev/mcp
    
  3. Cursor, VS Code, other tools, or an API key instead of signing in: see encore-mcp.

6. Report back

Setup is done. Tell the user:

  • Where the app is: its directory, and, if it's on Encore Cloud, its Cloud Dashboard at https://app.encore.dev/<app-id>.
  • What's left for them: their tool loads the new MCP servers when it restarts. If you added encore-cloud, they also need to authenticate it once: in Claude Code, /mcp, select encore-cloud, and choose Authenticate.

To build on the app, load the skill for the task. The hello-world app has one service, hello, in hello/.

ToLoad
Add endpoints, validation, and errorsencore-api
Add services or call one service from anotherencore-service
Add a SQL databaseencore-database
Require login on endpointsencore-auth
Add Pub/Sub, cron jobs, buckets, secrets, or cachingencore-pubsub, encore-cron, encore-bucket, encore-secret, encore-cache
Write testsencore-testing
Deploy: commit, then git push encoreencore-deploy

FAQ

What does the encore-getting-started skill do?

Set up Encore.ts from scratch. Install the CLI, log in, create an app, check that it runs, and connect Encore's MCP servers, with a pointer to the skill for each step. Ends where building starts. Not for architecture or feature questions.

How do I install encore-getting-started?

Run npx skills add https://github.com/encoredev/skills --skill encore-getting-started in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/encore-getting-started/ (personal) or .claude/skills/encore-getting-started/ (project).

Which AI agents can use encore-getting-started?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is encore-getting-started safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains encore-getting-started?

It is published by encoredev in encoredev/skills, and it is an official skill from the maker of the technology it covers. It has 678 recorded installs.

More from encoredev/skills

View all →

encore-api

encoredev/skills

Define typed API endpoints in Encore.ts using api(...) from encore.dev/api. Covers typed request/response interfaces, path/query/header/cookie params, request validation, and APIError. For raw endpoints (api.raw()) and inbound webhooks, use encore-webhook instead.

OfficialBackend & APIs836 installs

encore-auth

encoredev/skills

Protect Encore.ts endpoints with authentication and authorize callers. Covers authHandler, Gateway, getAuthData, and auth: true.

OfficialBackend & APIs829 installs

encore-code-review

encoredev/skills

Review existing Encore.ts code for best practices and common anti-patterns.

OfficialCode Quality & Workflow827 installs

encore-service

encoredev/skills

Implement Encore.ts services and lay out an application using encore.service.ts, service directories, systems, and encore/clients. For service boundaries and architecture decisions, use encore-architecture.

OfficialCode Quality & Workflow827 installs

encore-database

encoredev/skills

Work with PostgreSQL in Encore.ts using SQLDatabase from encore.dev/storage/sqldb — schema migrations and SQL queries.

OfficialData & Databases807 installs

encore-testing

encoredev/skills

Write or run automated tests for Encore.ts code with encore test and vitest/jest. Covers isolated per-test databases, calling handlers directly, and describe/it/expect.

OfficialTesting & QA795 installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs