cloud-create-project
Creates Elastic Cloud Serverless projects (Elasticsearch, Observability, or Security) via the REST API, saves credentials to file, and bootstraps a scoped Elasticsearch API key. Use when creating a new serverless project, provisioning a search or observability environment, or spinning up a new Elastic Cloud project.
What this skill does
# Create Serverless Project
Create Elastic Cloud Serverless projects using the Serverless REST API. Use the `cloud-manage-project` skill for day-2
operations like listing, updating, or deleting projects.
## Prerequisites and permissions
- Ensure `EC_API_KEY` is configured. If not, run `cloud-setup` skill first.
- Creating projects requires a Cloud API key with **Admin** or **Organization owner** role.
- This skill does not perform a separate role pre-check. Attempt the requested operation and let the API enforce
authorization. If the API returns an authorization error (for example, `403 Forbidden`), stop and ask the user to
verify the provided API key permissions.
### Manual setup fallback (when `cloud-setup` is unavailable)
If this skill is installed standalone and `cloud-setup` is not available, instruct the user to configure Cloud
environment variables manually before running commands. Never ask the user to paste API keys in chat.
| 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](https://cloud.elastic.co/registration) — 14 days of full access with no credit card
> required. Once registered, direct the user to generate a key at
> [Elastic Cloud API keys](https://cloud.elastic.co/account/keys), then configure it locally using the steps below.
Preferred method (agent-friendly): create a `.env` file in the project root:
```bash
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:
```bash
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 `admin` password 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 `--wait` to 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
```text
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
```bash
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:**
```text
Project Summary:
Type: elasticsearch
Name: 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.