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Found 916 Skills
Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.
Land and deploy workflow. Merges the PR, waits for CI and deploy, verifies production health via canary checks. Takes over after /ship creates the PR. Use when: "merge", "land", "deploy", "merge and verify", "land it", "ship it to production".
Interactive AI-driven game for learning Docker, Linux, networking, and Kubernetes through story-driven challenges in your AI editor.
Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.
Umbrella skill for Capgo cloud workflows. Use when the user needs native builds, OTA releases, store publishing, or organization-level Capgo operations and the request spans more than one Capgo workflow.
Investigate stuck runs and execution failures by tracing Symphony and Codex logs with issue/session identifiers; use when runs stall, retry repeatedly, or fail unexpectedly.
Check the latest test-related CI results for the current pull request.
Deploys applications to TrueFoundry. Handles single HTTP services, async/queue workers, multi-service projects, and declarative manifest apply. Supports `tfy apply`, `tfy deploy`, docker-compose translation, and CI/CD pipelines. Use when deploying apps, applying manifests, shipping services, or orchestrating multi-service deployments.
Deploys and monitors TrueFoundry batch jobs, scheduled cron jobs, and one-time tasks. Uses YAML manifests with `tfy apply`. Use when deploying jobs, scheduling cron tasks, checking job run status, or viewing execution history. For listing job applications, use `applications` skill.
Views, downloads, and searches application and job logs from TrueFoundry. Supports time-range filtering, pod filtering, and error search.
Generate production-ready Dockerfile for any GitHub project. Supports monorepo, multi-stage builds, workspace detection, and iterative build-fix cycles. Use when user asks to create, generate, write, fix, or improve a Dockerfile, wants to containerize an application, mentions Docker build issues, needs a .dockerignore, or wants to package their app as a Docker image. Also triggers on "/dockerfile".
Use when the user wants to deploy and run a prepared AWS FIS experiment. Triggers on "execute FIS experiment", "run FIS experiment", "start chaos experiment", "deploy FIS template", "启动 FIS 实验", "运行混沌实验", "执行故障注入实验", "deploy and run the experiment in [directory]". Expects a prepared experiment directory (from aws-fis-experiment-prepare or manually created) containing experiment-template.json, iam-policy.json, cfn-template.yaml, and alarm configs. Deploys resources via CLI or CloudFormation, starts the experiment with strict user confirmation, monitors progress, and generates results report.