skillit-cli

Extract Commander and yargs CLI command structures into structured AI skills.

7|3|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/pradeepmouli/skillit --skill skillit-cli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skillit-cli
Source: https://github.com/pradeepmouli/skillit/tree/main/skills/skillit-cli
Command: npx skills add https://github.com/pradeepmouli/skillit --skill skillit-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill turns command-line tools into structured, discoverable agent skills so you do not have to manually rewrite command trees, flags, and help text into documentation.

Core Features & Use Cases

  • Commander introspection: Reads a Commander program and extracts commands, options, and arguments with high fidelity.
  • Fallback help parsing: Works from raw help output when runtime access to the CLI object is unavailable, including non-Commander tools like yargs or oclif.
  • Metadata correlation: Merges typed config information with CLI surfaces so JSDoc notes such as usage hints and guardrails appear in the generated skill.
  • Use case: A developer can point this Skill at a CLI package and produce a consistent skill entry for agents, documentation, and automation workflows.

Quick Start

Use the skill to analyze a CLI project and generate a structured skill that captures its commands, options, and usage guidance.

Frequently Asked Questions about skillit-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract CLI command structures into AI agent skills?

Extract CLI command structures into AI agent skills by introspecting Commander programs or parsing raw help text to capture subcommands, options, defaults, and JSDoc metadata into a structured skill entry.

Can I generate CLI documentation from yargs or oclif tools without runtime access?

Yes, CLI documentation generation works for yargs or oclif tools without runtime access by using fallback help parsing to read raw help output and extract command trees and flags.

What is the best way to turn command-line tools into discoverable agent skills?

The best way to turn command-line tools into discoverable agent skills is merging runtime introspection with typed config information to correlate JSDoc usage hints and guardrails directly into the generated skill.

Does CLI introspection preserve subcommands and default option values?

Yes, CLI introspection preserves subcommands, options, default values, and JSDoc metadata during extraction to ensure the generated agent skill accurately reflects the original command-line tool's structure and constraints.

Do I need a Commander program to generate structured documentation for my CLI?

No, you do not need a Commander program to generate structured documentation. Fallback parsing extracts command structures directly from raw help output, supporting various command-line frameworks like yargs or oclif.