cloud-setup▌
elastic/agent-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Configure Elastic Cloud authentication and preferences. All other cloud/* skills depend on this setup.
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:
- Generate a key at Elastic Cloud API keys. Only Organization owners can create and manage Cloud API keys.
- When creating this key, include Project Admin privileges or higher (Org Owner) so it can create and manage serverless projects.
- Create a
.envfile 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_KEYis 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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches cloud-setup from GitHub repository elastic/agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★32 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.
showing 1-10 of 32