instantly-multi-env-setup
Configure Instantly.ai across development, staging, and production environments. Use when setting up multi-workspace deployments, isolating test from production, or managing per-environment API keys and webhook endpoints. Trigger with phrases like "instantly environments", "instantly staging", "instantly dev prod", "instantly multi-env", "instantly workspace isolation".
What this skill does
# Instantly Multi-Environment Setup
## Overview
Configure Instantly API v2 integrations across development, staging, and production environments. Instantly uses workspace-level isolation — each workspace has its own accounts, campaigns, leads, and API keys. This skill covers workspace separation, environment-specific configuration, mock server for dev, and safe promotion workflows.
## Environment Strategy
| Environment | Instantly Backend | API Keys | Webhooks | Purpose |
|-------------|------------------|----------|----------|---------|
| Development | Mock server | `mock-key` | localhost:3000 | Code iteration |
| Staging | Separate workspace | Staging key | staging.yourapp.com | Integration testing |
| Production | Production workspace | Prod key | prod.yourapp.com | Live outreach |
## Instructions
### Step 1: Environment Configuration
```typescript
// src/config.ts
import "dotenv/config";
type Env = "development" | "staging" | "production";
interface InstantlyConfig {
env: Env;
apiKey: string;
baseUrl: string;
webhookSecret: string;
useMock: boolean;
dailyLimitCap: number;
enableRealSending: boolean;
}
export function getConfig(): InstantlyConfig {
const env = (process.env.NODE_ENV || "development") as Env;
const configs: Record<Env, InstantlyConfig> = {
development: {
env: "development",
apiKey: process.env.INSTANTLY_API_KEY_DEV || "mock-key",
baseUrl: "https://developer.instantly.ai/_mock/api/v2",
webhookSecret: "dev-secret",
useMock: true,
dailyLimitCap: 5,
enableRealSending: false,
},
staging: {
env: "staging",
apiKey: process.env.INSTANTLY_API_KEY_STAGING || "",
baseUrl: "https://api.instantly.ai/api/v2",
webhookSecret: process.env.INSTANTLY_WEBHOOK_SECRET_STAGING || "",
useMock: false,
dailyLimitCap: 10,
enableRealSending: true,
},
production: {
env: "production",
apiKey: process.env.INSTANTLY_API_KEY_PROD || "",
baseUrl: "https://api.instantly.ai/api/v2",
webhookSecret: process.env.INSTANTLY_WEBHOOK_SECRET_PROD || "",
useMock: false,
dailyLimitCap: 100,
enableRealSending: true,
},
};
const config = configs[env];
if (!config.useMock && !config.apiKey) {
throw new Error(`INSTANTLY_API_KEY_${env.toUpperCase()} is required for ${env}`);
}
return config;
}
```
### Step 2: Environment-Specific .env Files
```bash
# .env.development
NODE_ENV=development
INSTANTLY_API_KEY_DEV=mock-key
INSTANTLY_BASE_URL=https://developer.instantly.ai/_mock/api/v2
INSTANTLY_WEBHOOK_SECRET=dev-secret-123
# .env.staging
NODE_ENV=staging
INSTANTLY_API_KEY_STAGING=your-staging-workspace-key
INSTANTLY_BASE_URL=https://api.instantly.ai/api/v2
INSTANTLY_WEBHOOK_SECRET_STAGING=staging-secret-456
# .env.production
NODE_ENV=production
INSTANTLY_API_KEY_PROD=your-production-workspace-key
INSTANTLY_BASE_URL=https://api.instantly.ai/api/v2
INSTANTLY_WEBHOOK_SECRET_PROD=prod-secret-789
```
### Step 3: Safe Campaign Creation with Environment Guards
```typescript
import { getConfig } from "./config";
import { InstantlyClient } from "./instantly/client";
const config = getConfig();
const client = new InstantlyClient(config.apiKey, config.baseUrl);
async function createCampaignSafe(name: string, sequences: any[]) {
// Guard: add environment prefix to campaign names
const envPrefix = config.env === "production" ? "" : `[${config.env.toUpperCase()}] `;
const safeName = `${envPrefix}${name}`;
// Guard: cap daily limit per environment
const campaign = await client.campaigns.create({
name: safeName,
daily_limit: Math.min(50, config.dailyLimitCap),
sequences,
campaign_schedule: {
start_date: new Date().toISOString().split("T")[0],
schedules: [{
name: "Business Hours",
timing: { from: "09:00", to: "17:00" },
days: { "1": true, "2": true, "3": true, "4": true, "5": true, "0": false, "6": false },
timezone: "America/New_York",
}],
},
stop_on_reply: true,
});
console.log(`[${config.env}] Campaign created: ${campaign.name} (${campaign.id})`);
// Guard: never auto-activate in production
if (config.env !== "production") {
await client.campaigns.activate(campaign.id);
console.log(`[${config.env}] Campaign auto-activated (non-prod)`);
} else {
console.log(`[production] Campaign created in DRAFT — manual activation required`);
}
return campaign;
}
```
### Step 4: Workspace Isolation Verification
```typescript
async function verifyWorkspaceIsolation() {
const config = getConfig();
// Get current workspace info
const workspace = await client.request<{
id: string; name: string;
}>("/workspaces/current");
console.log(`Environment: ${config.env}`);
console.log(`Workspace: ${workspace.name} (${workspace.id})`);
// Safety check: verify workspace matches expected environment
const expectedWorkspaceNames: Record<string, string[]> = {
development: ["dev", "test", "mock"],
staging: ["staging", "stage", "qa"],
production: ["prod", "production", "live"],
};
const expected = expectedWorkspaceNames[config.env] || [];
const nameMatch = expected.some((n) =>
workspace.name.toLowerCase().includes(n)
);
if (!nameMatch && config.env !== "development") {
console.warn(`WARNING: Workspace name "${workspace.name}" doesn't match expected ${config.env} pattern`);
console.warn("Verify you're using the correct API key for this environment");
}
// List accounts to verify correct workspace
const accounts = await client.accounts.list(5);
console.log(`Accounts in workspace: ${accounts.length}`);
}
```
### Step 5: Webhook Registration Per Environment
```typescript
async function setupWebhooksForEnv() {
const config = getConfig();
const webhookBaseUrls: Record<string, string> = {
development: "http://localhost:3000",
staging: "https://staging-webhooks.yourapp.com",
production: "https://webhooks.yourapp.com",
};
const baseUrl = webhookBaseUrls[config.env];
// Clean up existing webhooks
const existing = await client.webhooks.list();
for (const w of existing) {
if (w.name.startsWith(`[${config.env}]`)) {
await client.webhooks.delete(w.id);
}
}
// Register environment-specific webhooks
const events = ["reply_received", "email_bounced", "lead_interested", "lead_meeting_booked"];
for (const event of events) {
await client.webhooks.create({
name: `[${config.env}] ${event}`,
target_hook_url: `${baseUrl}/webhooks/instantly`,
event_type: event,
headers: { "X-Webhook-Secret": config.webhookSecret },
});
}
console.log(`[${config.env}] Registered ${events.length} webhooks -> ${baseUrl}`);
}
```
## Promotion Workflow
```
Development (mock) → Staging (real API, test data) → Production (live)
| | |
| Code changes | Integration test | Manual activation
| Unit tests | Small lead list (10) | Full lead list
| Mock server | Staging workspace | Production workspace
| | Webhook verification | Monitoring + alerts
```
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| Wrong workspace | API key mismatch | Run `verifyWorkspaceIsolation()` |
| Prod campaign auto-launched | Missing environment guard | Add `if (env !== "production")` check |
| Webhook pointing to wrong env | Stale webhook registration | Re-run `setupWebhooksForEnv()` |
| Staging data in production | Cross-env contamination | Use separate workspaces with separate API keys |
## Resources
- [Instantly Workspaces](https://developer.instantly.ai/api/v2/schemas)
- [Instantly API v2 Docs](https://developer.instantly.ai/)
- Instantly Mock Server
## Next Steps
For observability and monitoring, see `instantly-observability`.Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.