Skill

Set Up Complete Development Environments from Scratch

Set up and verify development environments with platform-specific installation, dependency configuration, and troubleshooting guidance.


88
Spark score
out of 100
Updated 29 days ago
Source checked Oct 9, 2026
Version 19.1.0

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Why it matters

Help developers configure fully functional development environments by providing step-by-step guidance through tool installation, dependency configuration, environment variable setup, and verification testing.

Outcomes

What it gets done

01

Install required development tools and frameworks

02

Configure project dependencies and package managers

03

Set up environment variables and configuration files

04

Verify the complete setup works correctly through testing

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-environment-setup-guide | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

This skill guides development environment setup from requirements through verification. It includes Node.js, Python, and Docker examples plus fixes for PATH, permissions, ports, and database connection issues. Use it for a new project, developer onboarding, a new machine, or setup documentation. Select versions from the project's constraints rather than treating historical examples as current recommendations.

What it does

Environment Setup Guide organizes developer setup into requirements, inspection, installation, configuration, and verification. It identifies the programming language and version, package manager, database, development tools, environment variables, and configuration files a project needs. Before adding software, it checks what is already installed and then provides platform-specific installation guidance.

Supported environments include Node.js projects, Python applications with virtual environments, and a Docker Compose development stack. The goal is a setup that can be checked with version commands, basic tool operations, database connections, and application startup rather than an installation sequence with no evidence that it worked.

When to use - and when NOT to

Use it when starting a project, onboarding a teammate, moving to another machine or operating system, troubleshooting environment problems, or writing setup instructions. Document prerequisites, common errors, and verification steps, and test the instructions on a clean system.

Historical version examples are not current support recommendations. Select versions using project lockfiles, runtime constraints, and official support matrices, and do not assume a newer major release is compatible. Dependency installation can execute lifecycle scripts. Protect secret environment files and exclude them from version control. Confirm a disposable or local database target before applying the example's project-specific migrations.

Inputs and outputs

Inputs include the operating system, project requirements, installed-tool inventory, dependency files, and required configuration. Outputs include installation instructions, environment-file guidance, shell and IDE configuration, and steps for confirming that the project starts correctly. An initial inventory example is:

node --version
python --version
git --version
docker --version

Node.js guidance covers dependencies, environment variables, development startup, and npm permission problems. Python guidance creates and activates a virtual environment, installs requirements, configures application variables, and starts a Flask example. Prefer project-local dependencies or virtual environments over unnecessary global installation, and use nvm or pyenv where appropriate.

Troubleshooting addresses missing commands through PATH and shell configuration, permission errors without defaulting to sudo, occupied ports through an alternate port or a verified owned process, and failed database connections through service, connection-string, and credential checks. Setup scripts can automate prerequisite checks, dependency installation, safe environment-file creation, and verification.

Integrations

Platform examples use Homebrew on macOS, Linux package managers, and Windows installers or package tools. Git, IDE settings, shell files, and npm configuration are included. The Docker example connects an application to PostgreSQL with persistent data. It is for local development: use unique credentials, loopback-bound published ports, and readiness checks because depends_on alone does not establish database readiness. Docker group membership grants root-equivalent host control; rootless Docker may be appropriate.

Source README

Help developers set up complete development environments from scratch. This skill provides step-by-step guidance for installing tools, configuring dependencies, setting up environment variables, and verifying the setup works correctly.

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