Individual skill
lindy-multi-env-setup
Configure Lindy AI across development, staging, and production environments. Use when setting up isolated workspaces, per-environment secrets, or environment-specific agent configurations. Trigger with phrases like "lindy environments", "lindy staging", "lindy dev prod", "lindy environment setup", "lindy workspace isolation".
skills/.curated/lindy-multi-env-setup/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- lindy Declared skill tag
- deployment Declared skill tag
- devops Derived category
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SKILL.mdcore · 7,496 bytesSKILL.mdcore · 7,496 bytesreferences/implementation-guide.mddoc · 4,915 bytesreferences/implementation.mddoc · 4,045 bytes
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# Lindy Multi-Environment Setup
## Overview
Isolate Lindy AI agents across development, staging, and production using separate
workspaces, dedicated API keys, and environment-specific webhook configurations.
Lindy agents live in workspaces — each environment should use its own workspace
to prevent cross-environment data leakage.
## Prerequisites
- Multiple Lindy workspaces (one per environment) or Enterprise plan
- Secret management solution (env vars, Vault, AWS/GCP secrets)
- CI/CD pipeline with environment-aware deployment
- Application with environment detection logic