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Found 1,081 Skills
Armory.io integration. Manage data, records, and automate workflows. Use when the user wants to interact with Armory.io data.
Harness integration. Manage data, records, and automate workflows. Use when the user wants to interact with Harness data.
Deploys and operates containerized workloads on ECS, Fargate, and ECR. Covers task definitions, Fargate services, ECR repository setup and lifecycle policies, ECS Exec debugging, service scaling, deployment strategies, load balancer integration, and logging configuration. Use when deploying, debugging, or optimizing containers on AWS. ALSO USE for container deployment options (ECS vs ECS Express Mode), networking modes, health check troubleshooting, OOM errors, secrets injection, blue/green deployments, ECR image management, and App Runner sunset guidance and migration. NOT for Kubernetes, EKS, or CI/CD pipelines.
Connects an existing AWS Lambda function to Amazon API Gateway by creating a REST or HTTP API with resource/method setup, Lambda proxy integration, permissions, and deployment. Always use this skill when connecting Lambda to API Gateway — it handles CORS, throttling, access logging, and production security hardening that are easy to miss.
A broad Sentry API CLI with local search, SQL, export, and MCP surfaces for incident work. Trigger phrases: `check Sentry issues`, `list Sentry projects`, `debug a Sentry event`, `audit Sentry releases`, `search Sentry incidents`, `use Sentry`, `run Sentry`.
Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Covers module design patterns, state management strategies, provider configuration, security hardening, policy-as-code with Sentinel/OPA, and CI/CD plan/apply workflows. Use when: user wants to design Terraform modules, manage state backends, review Terraform security, implement multi-region deployments, or follow IaC best practices.
CI/CD Pipeline Builder
Set up and use Gonzo, the open-source terminal log analysis tool. Use when the user wants to tail, watch, stream, or analyze logs. Detects deployment platforms, generates pipe commands, and configures AI analysis.
This skill should be used when the user wants to manage Railway deployments, view logs, or debug issues. Covers deployment lifecycle (remove, stop, redeploy, restart), deployment visibility (list, status, history), and troubleshooting (logs, errors, failures, crashes, why deploy failed). NOT for deleting services - use environment skill with isDeleted for that.
Manage repositories, check pipelines, review merge requests, and monitor CI/CD on GitLab
Mesh VPN.
CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD, GitOps, monitoring.