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Domain Language Types

Checked
marius-townhouse·vlatest·other

This skill defines specific language types within your domain for enhanced clarity and structured data understanding in AI interactions.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add marius-townhouse/effective-typescript-skills --skill domain-language-types -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

marius-townhouse

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned marius-townhouse/effective-typescript-skills at d754db2077.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d754db2077
Manifest
skills/domain-language-types/SKILL.md
Scanned
1 file, 271 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows an AI agent to understand and reason about domain-specific languages (DSLs). It can parse, interpret, and generate code in these custom languages, enabling the agent to interact with specialized systems or workflows. The skill facilitates automated tasks within environments that rely on DSLs for configuration or control.

When to use it

  • Automating Configuration: When dealing with systems configured using a specific DSL (e.g., infrastructure-as-code tools).
  • Code Generation: Generating code snippets in a DSL based on natural language instructions.
  • Data Transformation: Converting data between standard formats and representations within a DSL.
  • Workflow Automation: Orchestrating tasks that require interaction with systems using custom languages.

Key capabilities

  • DSL parsing
  • DSL interpretation
  • DSL code generation

Example prompts

  • "Generate Terraform configuration to create an AWS EC2 instance."
  • "Explain this Ansible playbook: [playbook content]"
  • "Convert this JSON data into a Kubernetes YAML manifest."

Tips & gotchas

The effectiveness of this skill depends on the agent having access to documentation or examples for the specific DSL. Providing clear context about the expected syntax and semantics will improve results.