SKILL.md
$27
Variable
Required
Description
EC_API_KEY
Yes
Elastic Cloud API key used for project creation operations.
EC_BASE_URL
No
Cloud API base URL (default: https://api.elastic-cloud.com).
Note: If EC_API_KEY is missing, or the user does not have a Cloud API key yet, first check whether the user has
an Elastic Cloud account. If not, propose starting a free trial at
Elastic Cloud free trial — 14 days of full access with no credit card
required. Once registered, direct the user to generate a key at
Elastic Cloud API keys, then configure it locally using the steps below.
Preferred method (agent-friendly): create a .env file in the project root:
EC_API_KEY=your-api-key
EC_BASE_URL=https://api.elastic-cloud.com
All cloud/* scripts auto-load .env from the working directory.
Alternative: export directly in the terminal:
export EC_API_KEY="<your-cloud-api-key>"
export EC_BASE_URL="https://api.elastic-cloud.com"
Terminal exports may not be visible to sandboxed agents running in separate shell sessions, so prefer .env when using
an agent.
Critical principles
- Never display secrets in chat. Do not echo, log, or repeat API keys, passwords, or credentials in conversation
messages or agent thinking. Direct the user to the .elastic-credentials file instead. The admin password must
never appear in chat history, thinking traces, or agent output.
- Confirm before creating. Always present the project configuration to the user and ask for confirmation before
running the creation script.
- Admin credentials are for API key creation only. The script saves the
adminpassword to.elastic-credentials
for bootstrapping a scoped API key. The admin user has full privileges and cannot be modified in serverless. Never
use admin credentials for direct Elasticsearch operations (querying, indexing, etc.) — always create a scoped API key
first (see Step 8). The load-credentials command excludes admin credentials by default — use --include-admin
only during Step 7/8, then reload without it once the API key is created. Never read or display the contents of
.elastic-credentials in chat.
- Recover lost credentials. If the script fails to write
.elastic-credentials(disk full, permissions, etc.), the
save may be incomplete. Check .elastic-credentials for the password first. If missing, use the
cloud-manage-project skill's reset-credentials command to generate a new password.
- Region is permanent. A project's region cannot be changed after creation.
- Prefer automatic readiness checks. Pass
--waitto the creation script so it polls until the phase changes from
initializing to initialized. Only fall back to manually polling the status endpoint if --wait is unavailable.
Project types
Type
Description
Key endpoints
elasticsearch
Search, analytics, and vector workloads
Elasticsearch, Kibana
observability
Logs, metrics, traces, and APM
Elasticsearch, Kibana, APM, OTLP
security
SIEM, endpoint protection, cloud security
Elasticsearch, Kibana, OTLP
Project type inference
Map the user's request to the correct --type value:
User says
--type
"search project", "elasticsearch project", vector search
elasticsearch
"observability project", "o11y", logs, metrics, traces, APM
observability
"security project", "SIEM", detections, endpoint protection
security
Do not silently default to any type. If the user does not specify a type, infer it from the conversation context
(for example, discussing log ingestion suggests observability, discussing detections or SIEM suggests security,
discussing search or vector workloads suggests elasticsearch). Always present the inferred type to the user and ask
for confirmation before proceeding. If context is insufficient to infer a type, ask the user to choose.
Product tiers
Observability and security projects support a --product-tier flag. Default to complete unless the user explicitly
requests a different tier.
Project type
Tier
Description
observability
complete
Full observability suite (logs, metrics, traces, APM)
observability
logs_essentials
Log management only
security
complete
Full security suite (SIEM, cloud, endpoint)
security
essentials
Core SIEM only
Elasticsearch projects do not have a product tier — use --optimized-for instead.
Sensible defaults
Present these defaults to the user before creation. Ask if they want to use or change them:
Setting
Default
Region
gcp-us-central1
Project type must be confirmed with the user — do not assume a default. See "Project type inference" above.
Always use --optimized-for general_purpose unless the user explicitly requests vector. Do not proactively offer the
vector option.
If the user does not specify a name, ask for one — it is required.
Workflow: Create a project
Project Creation:
- [ ] Step 1: Verify API key is set
- [ ] Step 2: Present defaults and confirm with user
- [ ] Step 3: List available regions (optional)
- [ ] Step 4: Create the project
- [ ] Step 5: Save credentials and endpoints
- [ ] Step 6: Wait for project to initialize
- [ ] Step 7: Set environment variables
- [ ] Step 8: Recommend creating a scoped API key
Step 1: Verify API key is set
echo "${EC_API_KEY:?Not set}"
If EC_API_KEY is not set, run the cloud-setup skill first to configure authentication and defaults.
Step 2: Present summary and confirm with user
Before presenting the summary, ensure the project type has been explicitly confirmed by the user. If no type was
specified, infer one from the conversation context and propose it. If the context is ambiguous, ask the user to choose
from elasticsearch, observability, or security.
Always show a confirmation summary before creating. Include different fields depending on project type:
Elasticsearch project:
Project Summary:
Type: elasticsearch
Name: my-project
Region: gcp-us-central1
Observability project:
Project Summary:
Type: observability
Name: my-project
Region: gcp-us-central1
Product tier: complete
Security project:
Project Summary:
Type: security
Name: my-project
Region: gcp-us-central1
Product tier: complete
Ask the user to confirm or override any values before proceeding.
Step 3: List available regions (optional)
python3 skills/cloud/create-project/scripts/create-project.py list-regions
The output is grouped by cloud provider (AWS, Azure, GCP) and sorted alphabetically. Regions marked with * do not
support project creation.
Step 4: Create the project
python3 skills/cloud/create-project/scripts/create-project.py create \
--type elasticsearch \
--name "my-project" \
--region gcp-us-central1 \
--optimized-for general_purpose \
--wait
Always pass --optimized-for general_purpose for Elasticsearch projects. Only use vector if the user explicitly
requests it.
For observability and security projects, pass --product-tier complete unless the user explicitly requests a different
tier.
Always pass --wait so the script automatically polls until the project is ready.
Step 5: Save credentials and endpoints
The script automatically writes credentials to .elastic-credentials in the working directory. The password is redacted
from the JSON output on stdout.
If saving succeeds, tell the user:
Credentials saved to .elastic-credentials — open that file to retrieve your password.
Do not read, cat, or display the contents of .elastic-credentials in chat.
If saving fails, the script prints an error to stderr. Check whether .elastic-credentials exists and contains a
password (a partial write is possible). If the password is missing or the file does not exist, immediately run the
cloud-manage-project skill's reset-credentials command to generate a new password.
The creation response also contains:
- Project ID — needed for all subsequent operations
- Cloud ID — for client libraries
- Elasticsearch and Kibana endpoints — safe to display in chat
The admin credentials are for initial bootstrap only. Recommend creating a scoped API key for ongoing access (Step 8).
Step 6: Wait for project to initialize
When --wait is passed (recommended), the script polls automatically until the project phase becomes initialized. No
manual polling is needed.
If the agent ran without --wait, poll manually:
python3 skills/cloud/create-project/scripts/create-project.py status \
--type elasticsearch \
--id <project-id>
Repeat until phase changes from initializing to initialized.
Step 7: Set environment variables
The creation script saves credentials and endpoints to .elastic-credentials with the project name in the header. Load
them into the current shell **with --include-admin** so admin credentials are available for API key creation in Step
8:
eval $(python3 skills/cloud/manage-project/scripts/manage-project.py load-credentials \
--name "<project-name>" --include-admin)
This sets ELASTICSEARCH_URL, KIBANA_URL, any project-type specific endpoints (APM_URL, INGEST_URL), and the
admin ELASTICSEARCH_USERNAME/ELASTICSEARCH_PASSWORD needed to bootstrap an API key.
Step 8: Create a scoped API key
The admin user has full privileges and cannot be modified in serverless projects. **Do not proceed with Elasticsearch
operations using admin credentials.** Create a scoped Elasticsearch API key with only the permissions the user needs.
If the elasticsearch-authn skill is available, use it for API key creation — it covers the full lifecycle (create,
grant, invalidate, query) and handles scoping privileges correctly. If the skill is not installed, ask the user to
either install it or create the API key manually through Kibana > Stack Management > API keys. After creation, save
the API key to .elastic-credentials using the project-specific header format (see manage-project skill's "Credential
file format" section), then reload **without --include-admin** to drop admin credentials from the environment:
eval $(python3 skills/cloud/manage-project/scripts/manage-project.py load-credentials \
--name "<project-name>")
Examples
Create an Elasticsearch project with defaults
python3 skills/cloud/create-project/scripts/create-project.py create \
--type elasticsearch \
--name "my-search-project" \
--region gcp-us-central1 \
--optimized-for general_purpose \
--wait
Create an observability project
python3 skills/cloud/create-project/scripts/create-project.py create \
--type observability \
--name "prod-o11y" \
--region aws-eu-west-1 \
--product-tier complete \
--wait
Create a security project
python3 skills/cloud/create-project/scripts/create-project.py create \
--type security \
--name "siem-prod" \
--region gcp-us-central1 \
--product-tier complete \
--wait
Guidelines
- Run the
cloud-setupskill first ifEC_API_KEYis not set.
- Always confirm the project configuration with the user before creating.
- Never display passwords or API keys in chat. Direct the user to
.elastic-credentials.
- Never silently default to a project type. Infer from context and confirm with the user.
- Default to
general_purposeoptimization. Only usevectorif the user explicitly requests it.
- Default to
completeproduct tier for observability and security projects. Only uselogs_essentialsoressentials
if the user explicitly requests it.
- Always pass
--waitso the script polls until the project is ready.
- If credential saving fails, immediately reset credentials using the
cloud-manage-projectskill.
- After creation, recommend creating a scoped API key instead of relying on admin credentials.
- Region cannot be changed after creation — confirm the choice before proceeding.
Script reference
Command
Description
create
Create a new serverless project
status
Get project initialization status
list-regions
List available regions
Flag
Commands
Description
--type
create, status
Project type: elasticsearch, observability, security
--name
create
Project name (required)
--region
create
Region ID (default: gcp-us-central1)
--id
status
Project ID
--optimized-for
create
Elasticsearch subtype: general_purpose or vector
--product-tier
create
Observability/security tier (see "Product tiers" section)
--wait
create
Poll until project is initialized before exiting
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)
ELASTICSEARCH_URL
Output
Elasticsearch URL (loaded via load-credentials after creation)
KIBANA_URL
Output
Kibana URL (loaded via load-credentials after creation)
APM_URL
Output
APM endpoint (observability projects only)
INGEST_URL
Output
OTLP ingest endpoint (observability and security projects)
ELASTICSEARCH_API_KEY
Output
Elasticsearch API key (created in Step 8, loaded via load-credentials)
Additional resources
- For full API details, request/response schemas, and project-type options, see