菜单
Integrate with external services including AWS, Kubernetes, CI/CD, Terraform, and webhooks. Use when triggering external actions, automating cross-system workflows, or syncing data with external services.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Master index of all Moltler/elastic-script capabilities. Use first when uncertain which skill applies, when the user asks "what can you do", or to find the right skill for a task involving Elasticsearch, observability, security, ML, or integrations.
Manage Elasticsearch Streams for data routing, field extraction, and retention. Use when working with data streams, partitioning data into child streams, extracting fields from logs, configuring data lifecycle, or routing observability data.
Query metrics using PromQL syntax in ES|QL. Use when analyzing Prometheus-style metrics, calculating rates, histograms, quantiles, or when the user mentions PromQL, Prometheus, rate(), sum(), histogram_quantile(), or metric queries.
Manage alerts, notifications, SLOs, and incident response. Use when creating alert rules, viewing active alerts, sending Slack or PagerDuty notifications, managing SLOs, or automating incident response.
Analyze logs, metrics, traces, and APM data. Use when troubleshooting issues, finding errors, analyzing performance, investigating incidents, or checking error rates and latency.
Quick start guide for Elasticsearch capabilities. Use when the user is new, asks "what can you do with Elasticsearch", wants to see available functions, or needs help getting oriented with Moltler skills.
| name | integrating-services |
| description | Integrate with external services including AWS, Kubernetes, CI/CD, Terraform, and webhooks. Use when triggering external actions, automating cross-system workflows, or syncing data with external services. |
| Function | Example |
|---|---|
HTTP_GET(url, headers?) | HTTP_GET('https://api.example.com/data') |
HTTP_POST(url, body, headers?) | POST with JSON |
WEBHOOK(url, payload) | Send webhook |
SET response = HTTP_POST('https://api.example.com/v1/data',
{'event': 'alert', 'data': {'severity': 'high'}},
{'Authorization': 'Bearer ' || ENV('API_TOKEN')}
);
| Function | Example |
|---|---|
AWS_LAMBDA_INVOKE(function, payload) | Invoke Lambda |
AWS_SSM_RUN(instance, commands) | Run SSM command |
AWS_SSM_STATUS(command_id) | Command status |
AWS_ASG_DESCRIBE(asg_name) | Describe ASG |
AWS_ASG_SET_CAPACITY(asg, min, max, desired) | Scale ASG |
-- Auto-scale based on CPU
ESQL FROM metrics-* | WHERE @timestamp > NOW() - 10 MINUTES | STATS avg_cpu = AVG(system.cpu.total.pct) INTO avg_cpu;
IF avg_cpu > 0.80 THEN
AWS_ASG_SET_CAPACITY('web-servers', 2, 10, current + 2);
END IF;
| Function | Example |
|---|---|
K8S_GET(resource, name?, namespace?) | K8S_GET('pods', NULL, 'default') |
K8S_PATCH(resource, name, patch, namespace?) | Patch resource |
K8S_SCALE(resource, name, replicas, namespace?) | Scale deployment |
-- Scale based on latency
IF p99_latency > 5000000 THEN
K8S_SCALE('deployments', 'api-server', current + 2, 'production');
END IF;
| Function | Example |
|---|---|
GITHUB_WORKFLOW(owner, repo, workflow, ref, inputs?) | Trigger |
GITHUB_WORKFLOW_STATUS(owner, repo, run_id) | Status |
| Function | Example |
|---|---|
JENKINS_BUILD(job, params?) | Trigger build |
JENKINS_STATUS(job, build_number) | Build status |
| Function | Example |
|---|---|
TF_CLOUD_RUN(org, workspace, message?) | Start run |
TF_CLOUD_STATUS(run_id) | Run status |
TF_CLOUD_WAIT(run_id, timeout?) | Wait for completion |
TF_CLOUD_OUTPUTS(workspace) | Get outputs |
| Function | Example |
|---|---|
S3_GET(bucket, key) | Get object |
S3_PUT(bucket, key, content, content_type?) | Put object |
S3_LIST(bucket, prefix?) | List objects |
| Skill | Description |
|---|---|
RUN SKILL trigger_github_workflow(repo, workflow) | CI/CD |
RUN SKILL scale_kubernetes(deployment, replicas) | K8s scaling |
RUN SKILL invoke_lambda(function, payload) | Lambda |
RUN SKILL trigger_terraform_run(workspace) | Terraform |