deno
$ brew install denoTS runtime, built-in tooling, and scripting from the terminal.
- deno fits local ai well, especially for ts runtime, built-in tooling, and scripting from the terminal.
- 72,394 homebrew installs (30d).
- Easy to automate.
- Good fit for coding-agent workflows and repeatable scripts.
- Output is mostly text-first, so verify results before scripting around it.
Deno guide
TS runtime, built-in tooling, and scripting from the terminal. Built by Deno.
Open CLI packages the install path, verify step, and safe-start workflow so this tool can move from “interesting CLI” to something you can actually use. It also integrates with skills.sh so each CLI comes with the right companion skills, not just a binary and a docs link.
When to apply
- ts runtime, built-in tooling, and scripting from the terminal.
- You need packages and builds in both local dev and CI.
- You need ts runtime.
- You need built-in tooling.
- You need scripting.
Quick reference
brew install denodeno --versiondeno init my-app && deno task devOpen CLI × skills.sh
Open CLI integrates deno with the right skills.sh companions so you get the tool and the workflow together.
Environment Setup
Verified pairingOpen CLI integrates deno with this skills.sh skill because it is the clearest fit for how deno is usually used. Get local toolchains installed and repeatable before deeper automation.
$ npx skills add https://github.com/supercent-io/skills-template --skill environment-setupUse deno together with the Environment Setup skills.sh skill. Start with safe inspection commands, summarize what you find, and ask before any step with side effects.
Why this tool
- deno fits local ai well, especially for ts runtime, built-in tooling, and scripting from the terminal.
- 72,394 homebrew installs (30d).
- Easy to automate.
Watch-outs
- Output is mostly plain text.
Example workflow
1. deno init my-app && deno task devSafe start
Install deno.
Run `deno --version` first.
Start with `deno init my-app && deno task dev`.
Install the CLI and any required runtime, model, or Python environment.