Does this skill support MCP servers?

Yes, it provides specific documentation and patterns for loading environment variables into MCP server configurations via shell expansion or direct Node.js imports.

Which AI models can I configure with this tool?

It includes pre-defined configurations for Anthropic, OpenAI, Gemini, Perplexity, xAI, Mistral, OpenRouter, Azure, and local Ollama models.

How does the fallback architecture work?

The system first attempts to load variables from the jelly-dotenv skill directory, then falls back to the project root .env file, and finally checks tool-specific paths to ensure no configuration is missed.

Can I use Jelly Dotenv with Node.js and Bash?

Absolutely. It includes both shell scripts and JavaScript loaders (CommonJS/ES6) to make environment variables accessible across different runtimes.

Is it safe to store my API keys in this skill?

Yes, the skill is designed to use a git-ignored .env file for actual secrets while providing a .env.sample for structure, preventing sensitive data from being committed to version control.

Jelly Dotenv

Name: Jelly Dotenv
Author: dev-jelly

bydev-jelly

Developer Tools

Centralizes environment variable and API key management for Claude Code skills using a secure fallback architecture.

About

Jelly Dotenv provides a standardized, centralized system for managing sensitive credentials and configuration settings across the jelly- skill ecosystem. By utilizing a sophisticated fallback hierarchy—checking the skill-specific directory before the project root—it allows developers to securely handle API keys for major AI providers, databases, and third-party tools. This ensures that automated workflows remain consistent and secure while preventing configuration conflicts between different development environments and tools like Task Master.

Key Features

Centralized API key management for major AI providers like Anthropic and OpenAI
Universal Bash and Node.js loaders for cross-environment compatibility
0 GitHub stars
Direct integration patterns for MCP servers and task automation workflows
Sophisticated fallback architecture for multi-level .env file loading
Secure secret handling with git-ignored files and standardized .env.sample templates

Use Cases

Standardizing API key access across a suite of custom Claude Code skills
Managing secure credentials for automated Task Master AI workflows
Simplifying new project setup with pre-configured environment templates

About

Key Features

Centralized API key management for major AI providers like Anthropic and OpenAI
Universal Bash and Node.js loaders for cross-environment compatibility
0 GitHub stars
Direct integration patterns for MCP servers and task automation workflows
Sophisticated fallback architecture for multi-level .env file loading
Secure secret handling with git-ignored files and standardized .env.sample templates

Use Cases

Standardizing API key access across a suite of custom Claude Code skills
Managing secure credentials for automated Task Master AI workflows
Simplifying new project setup with pre-configured environment templates