Kubiya-ai
Official@kubiyabot · United States of America
Empowering the future of technical operations through a digital workforce of AI Teammates
Agent Skills by Kubiya-ai
Showing 29 vetted skills indexed across 1 GitHub repositories.
test-skill
Validate tool invocations and command workflows in a minimal testing environment.
datadog
Query Datadog metrics, manage monitors, and post events via dogshell CLI.
docker
Automate Docker container and image management via the native Docker CLI.
kubernetes
Execute kubectl commands to manage Kubernetes clusters.
terraform
Automate Terraform infrastructure-as-code tasks by wrapping the native CLI.
git
Automate Git version-control operations via the native CLI.
azure
Manage Azure resources via the native az CLI.
gcp
Manage Google Cloud resources by wrapping the native gcloud CLI.
postgres
Run PostgreSQL queries and admin tasks via the psql CLI.
redis
Run Redis CLI commands inside a Docker container.
ffmpeg
Run FFmpeg commands in Docker containers for media processing.
mysql
Execute SQL queries against MySQL databases using a Docker-based client.
mongodb
Run MongoDB shell commands in Docker containers via connection strings.
imagemagick
Execute ImageMagick image manipulation commands inside a Docker sandbox.
slack-skill
Send Slack messages and manage channels via the Web API.
discord
Manage Discord servers, channels, roles, and threads via CLI commands.
digitalocean
Manage DigitalOcean droplets, DNS, and databases via the API.
aws-skill
Manage AWS S3, EC2, and Lambda resources from the terminal.
grafana
Manage Grafana dashboards, alerts, and data sources via the HTTP API.
python-example
Build and test Python skills using the Skill Engine SDK.
pagerduty
Automate PagerDuty incident retrieval, creation, acknowledgment, and resolution via REST API.
circleci-skill
Manage CircleCI v2 pipelines, workflows, jobs, and project configurations via API.
linear
Manage Linear issues and projects via GraphQL queries and mutations.
github-skill
Manage GitHub repositories, issues, pull requests, branches, releases, and actions via REST API.
Frequently Asked Questions About Kubiya-ai
FAQPage SchemaWhat specific operational tasks can be performed using these capabilities?▼
Users can execute infrastructure provisioning via Terraform, manage Kubernetes clusters, perform database administration for SQL and NoSQL systems, and handle incident response tasks within PagerDuty. Additionally, the system supports media processing with FFmpeg and ImageMagick, alongside comprehensive management of GitHub repositories and Jira project boards.
Which technical personas benefit most from these integrated capabilities?▼
Site Reliability Engineers, DevOps practitioners, and backend developers are the primary users. These personas utilize the system to reduce context switching by executing terminal-based commands for cloud resource management, database maintenance, and project tracking directly within their existing communication platforms.
What are the prerequisites for deploying and running these capabilities?▼
Deployment requires a configured environment capable of executing Docker containers, as many operations are sandboxed within containerized runtimes. Users must also provide valid authentication credentials, such as OAuth2 tokens or service account keys, for the specific cloud providers, databases, and project management platforms being accessed.