SSH connection to remote servers. Use when you need to execute commands on a remote server, check logs, restart services, or manage Docker containers.
npx skills add https://github.com/artwist-polyakov/polyakov-claude-skills --skill ssh-remote-connection
Universal skill for connecting to remote servers via SSH.
# Interactive shell
scripts/connect.sh
# Run command directly
scripts/connect.sh "docker compose logs backend --tail 50"
cp config/.env.example config/.env
config/.env with actual valuesKey-based authentication:
SSH_HOST=your-server.example.com
SSH_USER=ubuntu
SSH_AUTH_METHOD=key
SSH_KEY_PATH=/absolute/path/to/private/key
SSH_KEY_PASSWORD=
SERVER_PROJECT_PATH=/path/to/project
Password-based authentication:
SSH_HOST=your-server.example.com
SSH_USER=ubuntu
SSH_AUTH_METHOD=password
SSH_PASSWORD='your account password'
SERVER_PROJECT_PATH=/path/to/project
chmod +x scripts/connect.sh
Set environment variables in your cloud configuration:
SSH_HOST — server hostname or IPSSH_USER — SSH usernameSSH_PORT — SSH port (optional)SSH_AUTH_METHOD — auto, key, or password (optional, defaults to auto)SSH_KEY_PATH — path to private key for key authenticationSSH_KEY_PASSWORD — key passphrase (optional)SSH_PASSWORD — SSH account password for password authenticationSERVER_PROJECT_PATH — project directory on serverFor password authentication, the local runtime must have either sshpass or expect.
If the host key is not trusted yet, connect once manually or add the host to known_hosts
before running non-interactive commands.
git pull on the server. User will handle git sync manually.docker compose (not docker-compose) on the server.# View logs
scripts/connect.sh "docker compose logs backend --tail 100"
# Restart service
scripts/connect.sh "docker compose restart backend"
# Rebuild and restart
scripts/connect.sh "docker compose build backend && docker compose up -d backend"
# Check status
scripts/connect.sh "docker compose ps"
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take artwist-polyakov/ssh-remote-connection from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.