unit

Catalog unit tests, symbols, and source files from tests/ and src/ directories.

Updated May 3, 2026
One-click install
npx skills add https://github.com/jreakin/jre-vidget --skill unit-jreakin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: unit
Source: https://github.com/jreakin/jre-vidget/tree/main/.claude/skills/generated/unit
Command: npx skills add https://github.com/jreakin/jre-vidget --skill unit-jreakin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps developers quickly understand and project a unit’s testing footprint by cataloging tests, symbols, and structure.

Core Features & Use Cases

  • Catalogs unit tests and key source files from tests/ and src/ to map coverage.
  • Highlights test names, symbol references, and entry points for quick navigation.
  • Use Case: when auditing a unit's test suite during refactoring or onboarding.

Quick Start

Analyze the Unit skill by listing its test files, symbols, and structure.

Frequently Asked Questions about unit

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

FAQPage Schema
How do I map test coverage for a unit's test suite?

Mapping test coverage involves cataloging test files and source files from the tests/ and src/ directories. This process surfaces test names, symbol references, and entry points to highlight the unit's testing footprint for quick navigation.

What is the best way to audit a unit's test suite during refactoring?

Auditing a test suite during refactoring requires listing the unit's test files, symbols, and structure. By extracting metadata like YAML frontmatter and enumerating key files, you can safely review functional requirements and detect optional components such as scripts or references.

How does code analysis extract YAML frontmatter for metadata generation?

Code analysis extracts YAML frontmatter by identifying and summarizing the unit's structure and key files. It captures functional requirements to generate safe, self-contained metadata, detecting optional components like scripts, references, and assets within the codebase areas.

Can I use this approach to onboard developers to a new codebase?

Yes, you can use this approach for onboarding by analyzing codebase areas containing tests and related source code. It quickly projects a unit's testing footprint, highlighting test names and entry points so new developers can easily navigate the unit's architecture.

Does this test suite analysis work without external dependencies?

Yes, this test suite analysis works without external dependencies. It detects optional components like scripts, references, and assets to ensure safe, self-contained metadata generation without requiring additional frameworks or libraries to map the unit's structure.