lindy-multi-env-setup
Isolate Lindy AI environments using dedicated workspaces and environment-specific configuration.
Install
mkdir -p .claude/skills/lindy-multi-env-setup && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8987" && unzip -o skill.zip -d .claude/skills/lindy-multi-env-setup && rm skill.zipInstalls to .claude/skills/lindy-multi-env-setup
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Configure Lindy AI across development, staging, and production environments.Key capabilities
- →Isolate agents across development, staging, and production
- →Manage environment-specific API keys and secrets
- →Implement environment-aware deployment logic
- →Validate environment configurations at startup
How it works
Agents are deployed into separate workspaces for each environment, using environment-specific API keys and secret management to ensure isolation.
Inputs & outputs
When to use lindy-multi-env-setup
- →Set up isolated workspace environments
- →Manage environment-specific secrets
- →Implement multi-environment deployment logic
- →Prevent cross-environment data leakage
About this skill
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
Environment Strategy
| Environment | Workspace | API Key Source | Agent Config |
|---|---|---|---|
| Development | dev-workspace | .env.local | Debug prompts, test integrations |
| Staging | staging-workspace | CI/CD secrets | Production-like, test data |
| Production | prod-workspace | Secret manager | Hardened prompts, live integrations |
Instructions
Step 1: Create Separate Workspaces
- Log in at
- Create workspace for each environment:
[company]-dev,[company]-staging,[company]-prod - Generate separate API keys in each workspace
- Store each key in the appropriate secret store
Step 2: Environment Configuration
// config/lindy.ts — Environment-aware Lindy configuration
interface LindyConfig {
apiKey: string;
webhookUrl: string;
webhookSecret: string;
workspace: string;
model: string;
}
function getLindyConfig(): LindyConfig {
const env = process.env.NODE_ENV || 'development';
const configs: Record<string, LindyConfig> = {
development: {
apiKey: process.env.LINDY_API_KEY_DEV!,
webhookUrl: process.env.LINDY_WEBHOOK_URL_DEV!,
webhookSecret: process.env.LINDY_WEBHOOK_SECRET_DEV!,
workspace: 'dev',
model: 'gemini-flash', // Cheap model for dev
},
staging: {
apiKey: process.env.LINDY_API_KEY_STAGING!,
webhookUrl: process.env.LINDY_WEBHOOK_URL_STAGING!,
webhookSecret: process.env.LINDY_WEBHOOK_SECRET_STAGING!,
workspace: 'staging',
model: 'claude-sonnet', // Match prod model
},
production: {
apiKey: process.env.LINDY_API_KEY_PROD!,
webhookUrl: process.env.LINDY_WEBHOOK_URL_PROD!,
webhookSecret: process.env.LINDY_WEBHOOK_SECRET_PROD!,
workspace: 'production',
model: 'claude-sonnet',
},
};
const config = configs[env];
if (!config) throw new Error(`Unknown environment: ${env}`);
return config;
}
export const lindyConfig = getLindyConfig();
Step 3: Startup Validation
// validate-env.ts — Fail fast if Lindy config is missing
import { z } from 'zod';
const LindyEnvSchema = z.object({
LINDY_API_KEY: z.string().min(1, 'LINDY_API_KEY required'),
LINDY_WEBHOOK_SECRET: z.string().min(1, 'LINDY_WEBHOOK_SECRET required'),
LINDY_WEBHOOK_URL: z.string().url('LINDY_WEBHOOK_URL must be valid URL'),
});
export function validateLindyEnv() {
const result = LindyEnvSchema.safeParse({
LINDY_API_KEY: process.env.LINDY_API_KEY,
LINDY_WEBHOOK_SECRET: process.env.LINDY_WEBHOOK_SECRET,
LINDY_WEBHOOK_URL: process.env.LINDY_WEBHOOK_URL,
});
if (!result.success) {
console.error('Lindy environment validation failed:');
result.error.issues.forEach(i => console.error(` - ${i.path}: ${i.message}`));
process.exit(1);
}
console.log('Lindy environment validated successfully');
}
Step 4: Secret Management
# Development — .env.local (gitignored)
LINDY_API_KEY=lnd_dev_xxxxxxxxxxxx
LINDY_WEBHOOK_URL=https://public.lindy.ai/api/v1/webhooks/dev-id
LINDY_WEBHOOK_SECRET=whsec_dev_xxxxxxxxxxxx
# Staging — CI/CD secrets (GitHub Actions)
gh secret set LINDY_API_KEY_STAGING --body "lnd_staging_xxxx"
gh secret set LINDY_WEBHOOK_SECRET_STAGING --body "whsec_staging_xxxx"
# Production — Cloud secret manager
# AWS
aws secretsmanager create-secret \
--name prod/lindy/api-key \
--secret-string "lnd_prod_xxxxxxxxxxxx"
# GCP
echo -n "lnd_prod_xxxxxxxxxxxx" | \
gcloud secrets create lindy-api-key-prod --data-file=-
Step 5: Agent Promotion (Dev to Staging to Prod)
1. Build and test agent in dev workspace
2. Share agent as Template
3. Import template into staging workspace
4. Re-authorize integrations with staging accounts
5. Update webhook URLs to staging endpoints
6. Test with staging data for 24-48 hours
7. Repeat for production workspace
8. Update webhook URLs to production endpoints
9. Verify all integrations authorized with production accounts
Critical: OAuth tokens, webhook URLs, and phone numbers do NOT transfer between workspaces. Each must be reconfigured per environment.
Step 6: CI/CD Integration
# .github/workflows/deploy.yml
jobs:
deploy-staging:
if: github.ref == 'refs/heads/develop'
environment: staging
env:
LINDY_API_KEY: ${{ secrets.LINDY_API_KEY_STAGING }}
LINDY_WEBHOOK_SECRET: ${{ secrets.LINDY_WEBHOOK_SECRET_STAGING }}
steps:
- run: npm run deploy:staging
- run: npm run test:lindy:smoke
deploy-prod:
if: github.ref == 'refs/heads/main'
environment: production
env:
LINDY_API_KEY: ${{ secrets.LINDY_API_KEY_PROD }}
LINDY_WEBHOOK_SECRET: ${{ secrets.LINDY_WEBHOOK_SECRET_PROD }}
steps:
- run: npm run deploy:prod
- run: npm run test:lindy:smoke
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Dev agent hits prod data | Shared workspace | Use separate workspaces per environment |
| Staging integration fails | OAuth token expired | Re-authorize with staging service accounts |
| Webhook URL mismatch | Dev URL in prod config | Validate webhook URLs at startup |
| Secret not found in CI | Missing environment secret | Add via gh secret set per environment |
Resources
Next Steps
Proceed to lindy-observability for monitoring and alerting.
When not to use it
- →Do not share workspaces across environments to prevent data leakage
Prerequisites
Limitations
- →OAuth tokens, webhook URLs, and phone numbers do not transfer between workspaces
How it compares
This approach enforces strict workspace isolation rather than relying on a single shared environment for all development stages.
Compared to similar skills
lindy-multi-env-setup side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| lindy-multi-env-setup (this skill) | 0 | 27d | Review | Advanced |
| ollama-setup | 11 | 27d | Review | Beginner |
| cloudrun-development | 1 | 2mo | No flags | Advanced |
| ideogram-deploy-integration | 1 | 27d | Caution | Intermediate |
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