Agent skill

Apollo Deploy Integration

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Deploy Apollo.io integrations to production. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedDevOps & Cloud

Install Apollo Deploy Integration

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill apollo-deploy-integration -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace apollo-deploy-integration --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/apollo-deploy-integration .claude/skills/apollo-deploy-integration && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
apollo-deploy-integration
GitHub stars
2.8k
Token cost
~1.8k tokens
SKILL.md length
279 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Deploy Apollo.io integrations to production. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 5 steps: Health Check Endpoint → Deploy to GCP Cloud Run → Deploy to Vercel → …
  • Deploying Apollo integrations
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
  • Calls gcloud, vercel and kubectl; reaches api.apollo.io; needs APOLLO_API_KEY

What it does

Apollo Deploy Integration is an agent skill from jeremylongshore/tons-of-skills-marketplace. Deploy Apollo.io integrations to production. Use when deploying Apollo integrations, configuring production environments, or setting up deployment pipelines. Trigger with phrases like "deploy apollo", "apollo production deploy", "apollo deployment pipeline", "apollo to production".

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation-guide.md`). Compatibility notes: Designed for Claude Code

It sits in DevOps & Cloud, covering GraphQL, CI/CD and Deployment. It works with Kubernetes, Google Cloud, Cloud Run and Vercel. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Deploying Apollo integrations
  • Configuring production environments
  • Setting up deployment pipelines
  • With phrases like deploy apollo

Example prompts

  • “deploy apollo”
  • “apollo production deploy”
  • “apollo deployment pipeline”
  • “/apollo-deploy-integration”

Requirements

  • Node.js
  • A credential in APOLLO_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(gh:*), Bash(curl:*)

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Health Check Endpoint
  2. Deploy to GCP Cloud Run
  3. Deploy to Vercel
  4. Deploy to Kubernetes
  5. Pre-Deploy Validation

What it can do on your machine

Read from SKILL.md and the folder at commit 80f86df. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(gh:*)
    • Bash(curl:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • gcloud
    • vercel
    • kubectl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.apollo.io

    Also links to:

    • cloud.google.com
    • vercel.com
    • kubernetes.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • APOLLO_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Apollo Deploy Integration loads about 1.8k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 279 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit 80f86df, republished under its MIT licence (© jeremylongshore). 279 words, ~1,772 tokens.

Download SKILL.mdSave it as .claude/skills/apollo-deploy-integration/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
apollo-deploy-integration
description
Deploy Apollo.io integrations to production. Use when deploying Apollo integrations, configuring production environments, or setting up deployment pipelines. Trigger with phrases like "deploy apollo", "apollo production deploy", "apollo deployment pipeline", "apollo to production".
allowed-tools
Read, Write, Edit, Bash(gh:*), Bash(curl:*)
compatibility
Designed for Claude Code
version
1.13.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, apollo, deployment

Apollo Deploy Integration

Overview

Deploy Apollo.io integrations to production with configurations for Vercel, GCP Cloud Run, and Kubernetes. All configurations use x-api-key header auth, health check endpoints verifying Apollo connectivity, and secret management best practices.

Prerequisites

  • Valid Apollo master API key
  • Node.js 18+
  • Target platform CLI installed (vercel, gcloud, or kubectl)

Instructions

Step 1: Health Check Endpoint

Every deployment needs a health endpoint that verifies Apollo API connectivity.

typescript
// src/health.ts
import axios from 'axios';
import { Router } from 'express';

export const healthRouter = Router();

healthRouter.get('/health', async (req, res) => {
  const checks: Record<string, string> = {
    apiKey: process.env.APOLLO_API_KEY ? 'set' : 'MISSING',
    nodeEnv: process.env.NODE_ENV ?? 'not set',
  };

  try {
    const start = Date.now();
    const resp = await axios.get('https://api.apollo.io/api/v1/auth/health', {
      headers: { 'x-api-key': process.env.APOLLO_API_KEY! },
      timeout: 5000,
    });
    checks.apollo = resp.data.is_logged_in ? `ok (${Date.now() - start}ms)` : 'invalid key';
  } catch (err: any) {
    checks.apollo = `error: ${err.response?.status ?? err.message}`;
  }

  const healthy = checks.apollo.startsWith('ok') && checks.apiKey === 'set';
  res.status(healthy ? 200 : 503).json({ status: healthy ? 'healthy' : 'unhealthy', checks });
});
Step 2: Deploy to GCP Cloud Run
dockerfile
FROM node:20-slim AS build
WORKDIR /app
COPY package*.json ./
RUN npm ci --production=false
COPY . .
RUN npm run build

FROM node:20-slim
WORKDIR /app
COPY --from=build /app/dist ./dist
COPY --from=build /app/node_modules ./node_modules
COPY package*.json ./
EXPOSE 8080
CMD ["node", "dist/index.js"]
bash
# Store API key in GCP Secret Manager
echo -n "$APOLLO_API_KEY" | gcloud secrets create apollo-api-key --data-file=-

# Deploy with secret injection
gcloud run deploy apollo-integration \
  --source . \
  --region us-central1 \
  --set-secrets "APOLLO_API_KEY=apollo-api-key:latest" \
  --set-env-vars "NODE_ENV=production" \
  --min-instances 1 --max-instances 10 \
  --port 8080
Step 3: Deploy to Vercel
json
{
  "name": "apollo-integration",
  "builds": [{ "src": "src/index.ts", "use": "@vercel/node" }],
  "routes": [{ "src": "/(.*)", "dest": "src/index.ts" }],
  "env": { "APOLLO_API_KEY": "@apollo-api-key", "NODE_ENV": "production" }
}
bash
vercel secrets add apollo-api-key "$APOLLO_API_KEY"
vercel --prod
Step 4: Deploy to Kubernetes
yaml
# k8s/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: apollo-integration
spec:
  replicas: 2
  selector:
    matchLabels: { app: apollo-integration }
  template:
    metadata:
      labels: { app: apollo-integration }
    spec:
      containers:
        - name: apollo
          image: gcr.io/my-project/apollo-integration:latest
          ports: [{ containerPort: 8080 }]
          envFrom:
            - secretRef: { name: apollo-credentials }
          env:
            - { name: NODE_ENV, value: "production" }
          livenessProbe:
            httpGet: { path: /health, port: 8080 }
            initialDelaySeconds: 10
            periodSeconds: 30
          readinessProbe:
            httpGet: { path: /health, port: 8080 }
            initialDelaySeconds: 5
            periodSeconds: 10
          resources:
            requests: { memory: "128Mi", cpu: "100m" }
            limits: { memory: "256Mi", cpu: "500m" }
---
apiVersion: v1
kind: Secret
metadata:
  name: apollo-credentials
type: Opaque
stringData:
  APOLLO_API_KEY: "your-master-key-here"
Step 5: Pre-Deploy Validation
typescript
// src/scripts/pre-deploy.ts
async function preDeployCheck() {
  const checks: Array<{ name: string; pass: boolean }> = [];

  // API key set
  checks.push({ name: 'APOLLO_API_KEY set', pass: !!process.env.APOLLO_API_KEY });

  // Auth works
  try {
    const resp = await axios.get('https://api.apollo.io/api/v1/auth/health', {
      headers: { 'x-api-key': process.env.APOLLO_API_KEY! },
    });
    checks.push({ name: 'Apollo auth valid', pass: resp.data.is_logged_in });
  } catch { checks.push({ name: 'Apollo auth valid', pass: false }); }

  // Build succeeds
  try {
    const { execSync } = await import('child_process');
    execSync('npm run build', { stdio: 'pipe' });
    checks.push({ name: 'Build succeeds', pass: true });
  } catch { checks.push({ name: 'Build succeeds', pass: false }); }

  const allPass = checks.every((c) => c.pass);
  checks.forEach((c) => console.log(`${c.pass ? 'PASS' : 'FAIL'} ${c.name}`));
  console.log(`\nDeploy: ${allPass ? 'READY' : 'BLOCKED'}`);
  process.exit(allPass ? 0 : 1);
}
preDeployCheck();

Output

  • Express health check endpoint verifying Apollo connectivity
  • GCP Cloud Run deployment with Secret Manager integration
  • Vercel deployment with encrypted secrets
  • Kubernetes manifests with liveness/readiness probes
  • Pre-deploy validation script

Examples

For a Cloud Run release, create the production secret through the platform’s secret manager rather than applying the placeholder Kubernetes stringData example. Deploy one revision with a restricted service identity, wait for the pre-deploy checks and readiness probe to succeed, and issue a redacted health request from the approved monitoring path. Promote traffic gradually while tracking provider authentication failures and request latency. If the new revision returns 503, halt promotion and send traffic back to the last known healthy revision; do not diagnose by printing or replacing the secret in a shell command, manifest, or application log.

Error Handling

IssueResolution
Health check 503Check APOLLO_API_KEY secret is mounted correctly
Container crash loopReview startup logs, verify secret names match
Rollback neededgcloud run deploy --revision, vercel rollback, or kubectl rollout undo
Secret rotationUpdate secret, redeploy — health check confirms new key works

Resources

Next Steps

Proceed to apollo-webhooks-events for webhook implementation.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/apollo-deploy-integration of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/implementation-guide.md

Open the folder on GitHubat commit 80f86df

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Apollo Deploy Integration this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.8kAutomated safety check: PassMIT
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Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2606 repos~1.1kAutomated safety check: NotesCustom licence
Google Agents CLI Deploypifferologo/cloud-agents-cli1291 repos~6kAutomated safety check: PassApache-2.0
Google Cloud Solution Guided Gke AI Migrationgoogle/skills21k—~8.3kAutomated safety check: PassApache-2.0
Deployment Automationaiskillstore/marketplace4301 repos~3kAutomated safety check: NotesNone

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Questions about Apollo Deploy Integration

What does Apollo Deploy Integration do?

Deploy Apollo.io integrations to production. An agent skill from jeremylongshore/tons-of-skills-marketplace. Apollo Deploy Integration is an agent skill from jeremylongshore/tons-of-skills-marketplace.io integrations to production.

When should I use Apollo Deploy Integration?

Apollo Deploy Integration fits situations like: deploying Apollo integrations; configuring production environments; setting up deployment pipelines; with phrases like deploy apollo.

How do I install Apollo Deploy Integration in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apollo-deploy-integration -a claude-code`. Or copy the skill folder (skills/.curated/apollo-deploy-integration in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/apollo-deploy-integration in your project. Claude Code loads it when a task matches its description.

How do I install Apollo Deploy Integration in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apollo-deploy-integration -a codex`. Or copy the skill folder (skills/.curated/apollo-deploy-integration in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/apollo-deploy-integration in your project. Codex loads it when a task matches its description.

Can I use Apollo Deploy Integration in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apollo-deploy-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/apollo-deploy-integration, .gemini/skills/apollo-deploy-integration, .github/skills/apollo-deploy-integration and .opencode/skills/apollo-deploy-integration in your project.

What does Apollo Deploy Integration need to run?

Going by SKILL.md and its folder, Apollo Deploy Integration needs the command-line tools its instructions call (gcloud, vercel and kubectl) and credentials named APOLLO_API_KEY. Our summary lists: Node.js; A credential in APOLLO_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(gh:*), Bash(curl:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Apollo Deploy Integration access the network?

SKILL.md names 4 domains. In commands or code: api.apollo.io; the agent is likely to contact it when it follows the instructions. As links in the text: cloud.google.com, vercel.com and kubernetes.io. This is read from the text; nothing was executed.

Is Apollo Deploy Integration safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Apollo Deploy Integration use?

Apollo Deploy Integration is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Apollo Deploy Integration use?

About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.3k tokens, read only when the agent opens those files.

What are the alternatives to Apollo Deploy Integration?

Skills that share tags, products or a category with Apollo Deploy Integration: CI/CD Pipeline Principles (irahardianto/awesome-agv, 157 stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Google Agents CLI Deploy (pifferologo/cloud-agents-cli, 129 stars) and Google Cloud Solution Guided Gke AI Migration (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Apollo Deploy Integration?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,825 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 9, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.