Detect shell-script projects and generate Dockerfile patterns from start.sh.
npx skills add https://github.com/nixopus/agent --skill shell-deploy
Please help me install this Agent Skill. Skill: shell-deploy Source: https://github.com/nixopus/agent/tree/main/skills/shell-deploy Command: npx skills add https://github.com/nixopus/agent --skill shell-deploy
Deploying shell-script projects often requires manual setup, environment preparation, and Dockerfile configuration. This skill automates interpreter detection, recognizes start.sh based projects, and provides Dockerfile pattern guidance to streamline containerized deployments.
Detect a shell-script project by the presence of start.sh and generate an appropriate Dockerfile pattern, applying optional setup.sh if present.
High-intent search queries and answers about installing and using this skill.
To deploy a shell-script project using Docker, you need a start.sh file at the project root. The deployment process detects the shell interpreter from the entry script's shebang and applies the appropriate Dockerfile pattern to produce a runnable container image.
Interpreter detection for a start.sh script works by reading the shebang line in the entry script. This identifies the specific shell interpreter, which is then used to select a compatible runtime configuration for the Dockerfile pattern.
Yes, you can run a setup script during the Docker image build. If your project includes an optional setup.sh file, the deployment process will execute it during the build to prepare the environment inside the container image.
To containerize a start.sh based application, you need the start.sh file at the project root. The automation handles interpreter inference and Dockerfile pattern generation, requiring no additional dependencies to create the runnable container image.
Shell script deployment fails without a start.sh file because detection relies on finding this specific file at the project root. The automation uses the presence of start.sh to recognize the project and infer the interpreter for the Dockerfile.
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