cloud-setup

elastic/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/elastic/agent-skills --skill cloud-setup
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summary

Configure Elastic Cloud authentication and preferences. All other cloud/* skills depend on this setup.

skill.md

Cloud Environment Setup

Configure Elastic Cloud authentication and preferences. All other cloud/* skills depend on this setup.

Workflow

Setup Progress:
- [ ] Step 1: Verify API key
- [ ] Step 2: Set defaults
- [ ] Step 3: Validate connection

Step 1: Verify API key

Check whether EC_API_KEY is already set:

echo "${EC_API_KEY:?Not set}"

If not set, instruct the user to set it. Never ask the user to paste an API key into the chat — secrets must not appear in conversation history.

If the user indicates they do not have an Elastic Cloud account yet, propose starting a free trial at Elastic Cloud free trial. The trial provides 14 days of full access to Elastic Cloud Serverless with no credit card required. Once the user has registered and logged in, proceed with API key generation below.

Direct the user to:

  1. Generate a key at Elastic Cloud API keys. Only Organization owners can create and manage Cloud API keys.
  2. When creating this key, include Project Admin privileges or higher (Org Owner) so it can create and manage serverless projects.
  3. Create a .env file in the project root (recommended — works in sandboxed agent shells):
EC_API_KEY=your-api-key

All cloud/* scripts auto-load .env from the working directory — no manual sourcing needed.

Alternatively, export directly in the terminal:

export EC_API_KEY="your-api-key"

Terminal exports might not be visible to sandboxed agents running in a separate shell session. Prefer the .env file when working with an agent.

Remind the user that storing secrets in local files is acceptable for development, but for production or shared environments, use a centralized secrets manager (for example, HashiCorp Vault, AWS Secrets Manager, 1Password CLI) to avoid secrets sprawl.

Step 2: Set defaults

Export the base URL and default region:

export EC_BASE_URL="https://api.elastic-cloud.com"
export EC_REGION="gcp-us-central1"

Ask the user if they want a different region. To list available regions:

curl -s -H "Authorization: ApiKey ${EC_API_KEY}" \
  "${EC_BASE_URL}/api/v1/serverless/regions" | python3 -m json.tool

Step 3: Validate connection

Confirm the API key works by calling the regions endpoint:

curl -sf -H "Authorization: ApiKey ${EC_API_KEY}" \
  "${EC_BASE_URL}/api/v1/serverless/regions" > /dev/null && echo "Authenticated." || echo "Authentication failed."

If validation fails, check:

  • The API key is valid and not expired
  • Network connectivity to api.elastic-cloud.com

Examples

First-time setup

User: set up my cloud environment
Agent: Check if EC_API_KEY is set in your terminal. If not, generate a key at
       https://cloud.elastic.co/account/keys and run:
       export EC_API_KEY="your-key"
       Then confirm and I'll validate the connection.

Setup with custom region

User: set up cloud with eu region
Agent: [runs setup, sets EC_REGION to user's preferred EU region]

Guidelines

  • Never receive, echo, or log API keys, passwords, or any credentials in the chat. Instruct the user to manage secrets in their terminal or using files directly.
  • Always validate the connection after setting the key.
  • Default region is gcp-us-central1 — only change if the user requests a different region.
  • This skill is a prerequisite. Other cloud skills should refer here when EC_API_KEY is missing.

Environment variables

Variable Required Description
EC_API_KEY Yes Elastic Cloud API key
EC_BASE_URL No Cloud API base URL (default: https://api.elastic-cloud.com)
EC_REGION No Default region (default: gcp-us-central1)

Troubleshooting

Problem Fix
401 Unauthorized API key is invalid or expired — generate a new one
connection refused Check network access to api.elastic-cloud.com
how to use cloud-setup

How to use cloud-setup on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add cloud-setup
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/elastic/agent-skills --skill cloud-setup

The skills CLI fetches cloud-setup from GitHub repository elastic/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/cloud-setup

Reload or restart Cursor to activate cloud-setup. Access the skill through slash commands (e.g., /cloud-setup) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.732 reviews
  • Li Park· Dec 24, 2024

    cloud-setup reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ganesh Mohane· Dec 20, 2024

    cloud-setup has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Daniel Thomas· Dec 20, 2024

    We added cloud-setup from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amelia Shah· Dec 4, 2024

    Solid pick for teams standardizing on skills: cloud-setup is focused, and the summary matches what you get after install.

  • Daniel Brown· Nov 23, 2024

    cloud-setup has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sakshi Patil· Nov 11, 2024

    Solid pick for teams standardizing on skills: cloud-setup is focused, and the summary matches what you get after install.

  • Ira Wang· Nov 11, 2024

    Keeps context tight: cloud-setup is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Amelia Sharma· Nov 7, 2024

    cloud-setup fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Amelia Martin· Oct 26, 2024

    Registry listing for cloud-setup matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chinedu Garcia· Oct 14, 2024

    Keeps context tight: cloud-setup is the kind of skill you can hand to a new teammate without a long onboarding doc.

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