How do I install the Lindy Deploy Integration skill?

Run npx skillmds@latest add micsapp/lindy-deploy-integration in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Lindy Deploy Integration safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Lindy Deploy Integration?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Lindy Deploy Integration free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Lindy Deploy Integration?

micsapp (@micsapp) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Lindy Deploy Integration by micsapp

Name: Lindy Deploy Integration
Rating: 4.5 (4 reviews)
Author: micsapp

Lindy Deploy Integration

Configure deployment pipelines for Lindy AI integrations. Use when deploying to production, setting up staging environments, or automating agent deployments. Trigger with phrases like "deploy lindy", "lindy deployment", "lindy production deploy", "release lindy agents".

micsapp Updated Sep 8, 2026 3 repo stars

File contents

Lindy AI Deploy Integration

Overview

Deploy Lindy AI agent integrations to production environments. Lindy agents run on Lindy's managed infrastructure, so deployment focuses on configuring your application's connection to Lindy agents, managing API credentials, and setting up webhook endpoints that Lindy agents interact with.

Prerequisites

Lindy account with agents configured
Lindy API key stored in LINDY_API_KEY environment variable
Application endpoints ready for Lindy agent callbacks
Deployment platform CLI (Vercel, Docker, etc.)

Instructions

Step 1: Configure Agent Connection

Step 2: Docker Deployment

Step 3: Vercel Deployment

Step 4: Production Agent Trigger

Step 5: Health Check

For detailed implementation code and configurations, load the reference guide: Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)

Error Handling

Issue	Cause	Solution
Agent not found	Invalid agent ID	Verify agent IDs in Lindy dashboard
Webhook unreachable	Wrong URL or HTTPS	Ensure public HTTPS endpoint
API key invalid	Key revoked	Regenerate in Lindy settings
Agent timeout	Complex task	Increase agent timeout in Lindy config

Examples

Basic usage: Apply lindy deploy integration to a standard project setup with default configuration options.

Advanced scenario: Customize lindy deploy integration for production environments with multiple constraints and team-specific requirements.

Resources

Next Steps

For webhook handling, see lindy-webhooks-events.

Output

Configuration files or code changes applied to the project
Validation report confirming correct implementation
Summary of changes made and their rationale

See CI/CD implementation details for output format specifications.

---name: lindy-deploy-integrationdescription: Configure deployment pipelines for Lindy AI integrations. Use when deploying to production, setting up staging environments, or automating agent deployments. Trigger with phrases like "deploy lindy", "lindy deployment", "lindy production deploy", "release lindy agents".license: MIT---# Lindy AI Deploy Integration## OverviewDeploy Lindy AI agent integrations to production environments. Lindy agents run on Lindy's managed infrastructure, so deployment focuses on configuring your application's connection to Lindy agents, managing API credentials, and setting up webhook endpoints that Lindy agents interact with.## Prerequisites- Lindy account with agents configured- Lindy API key stored in `LINDY_API_KEY` environment variable- Application endpoints ready for Lindy agent callbacks- Deployment platform CLI (Vercel, Docker, etc.)## Instructions### Step 1: Configure Agent Connection### Step 2: Docker Deployment### Step 3: Vercel Deployment### Step 4: Production Agent Trigger### Step 5: Health CheckFor detailed implementation code and configurations, load the reference guide:`Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)`## Error Handling| Issue | Cause | Solution ||-------|-------|----------|| Agent not found | Invalid agent ID | Verify agent IDs in Lindy dashboard || Webhook unreachable | Wrong URL or HTTPS | Ensure public HTTPS endpoint || API key invalid | Key revoked | Regenerate in Lindy settings || Agent timeout | Complex task | Increase agent timeout in Lindy config |## Examples**Basic usage**: Apply lindy deploy integration to a standard project setup with default configuration options.**Advanced scenario**: Customize lindy deploy integration for production environments with multiple constraints and team-specific requirements.## Resources- [Lindy AI Documentation](https://docs.lindy.ai)- [Lindy API Reference](https://docs.lindy.ai/api)## Next StepsFor webhook handling, see `lindy-webhooks-events`.## Output- Configuration files or code changes applied to the project- Validation report confirming correct implementation- Summary of changes made and their rationaleSee [CI/CD implementation details](${CLAUDE_SKILL_DIR}/references/implementation.md) for output format specifications.

Frequently asked questions