vueuse-functions

Extract structured metadata from SKILL.md files and optional resource directories.

Updated Apr 6, 2022
One-click install
npx skills add https://github.com/wjyugutou/study-test-demo --skill vueuse-functions-wjyugutou
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vueuse-functions
Source: https://github.com/wjyugutou/study-test-demo/tree/main/.trae/skills/vueuse-functions
Command: npx skills add https://github.com/wjyugutou/study-test-demo --skill vueuse-functions-wjyugutou

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill formalizes how to map and extract structured metadata from Skill Units that use SKILL.md as the entry point, enabling consistent discovery across a large repository.

Core Features & Use Cases

  • Centralized discovery: identify Skill Units by the presence of SKILL.md and read its name and description for indexing.
  • Contextual extraction: catalog optional resources like references, scripts, and assets to determine usable components.
  • Consistent metadata generation: produce a uniform metadata payload (name, description, dependencies, components, etc.) for each Skill Unit to fuel search and tooling.

Quick Start

Run the analysis on the repository to locate the VueUse Skill Unit at .trae/skills/vueuse-functions, read its SKILL.md frontmatter for name/description, inspect any references/asset directories, and assemble the required fields.

Frequently Asked Questions about vueuse-functions

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

FAQPage Schema
How do I extract structured metadata from SKILL.md frontmatter in a VueUse repository?

To extract structured metadata from SKILL.md frontmatter, locate the file at the root of each directory and parse its YAML frontmatter to map fields like name, tagline, and keywords into a uniform metadata object for indexing.

How does VueUse skill discovery work for large repositories?

VueUse skill discovery works by locating SKILL.md files at directory roots, reading their YAML frontmatter, and cataloging optional resources like scripts, references, and assets to generate a complete skill unit record for consistent indexing.

What is the best way to map VueUse composables to a structured metadata payload?

The best way to map VueUse composables to a structured metadata payload is to parse the YAML frontmatter from SKILL.md and detect dependencies under scripts, references, and assets directories to populate the required fields.

Can I use VueUse metadata extraction to detect dependencies and components automatically?

Yes, VueUse metadata extraction detects dependencies and components automatically by inspecting optional resources under the scripts, references, and assets directories after reading the SKILL.md frontmatter.

What fields are required when generating a VueUse skill unit record?

Generating a VueUse skill unit record requires the fields name, tagline, description, request, complexity, category, keywords, dependencies, components, is_toxic, and toxic_reason to produce a complete metadata payload.

Why does my VueUse skill metadata extraction return incomplete fields?

VueUse skill metadata extraction returns incomplete fields if the YAML frontmatter in SKILL.md is missing values or if optional resource directories like scripts, references, and assets are not detected during the scan.