skill-name

Define reusable TRAE skill units with SKILL.md frontmatter and descriptive body.

20|19|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/trae-community/trae-skills --skill skill-name-trae-community
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-name
Source: https://github.com/trae-community/trae-skills/tree/main/skills/_template
Command: npx skills add https://github.com/trae-community/trae-skills --skill skill-name-trae-community

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a framework for defining and packaging deterministic agent instructions as a reusable unit that TRAE can load on demand, reducing redundancy and improving consistency across projects.

Core Features & Use Cases

  • Flexible packaging: a skill consists of a SKILL.md frontmatter and a descriptive body that can include optional resources.
  • On-demand loading: skills are discovered and loaded only when tasks match their descriptions, saving tokens and context.
  • Use Case: Imagine a team standardizing a sequence for data extraction tasks across multiple projects.

Quick Start

Create a new skill by adding a SKILL.md with a valid frontmatter and a descriptive body in the skills directory.

Frequently Asked Questions about skill-name

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

FAQPage Schema
How do I create reusable automation skills for TRAE?

To create reusable TRAE skills, define a SKILL.md file containing valid YAML frontmatter and a descriptive body. This packages deterministic agent instructions into a unit that TRAE loads on demand across projects.

What is on-demand skill loading and how does it save context?

On-demand loading discovers and activates skills only when task descriptions match, saving tokens and context. This mechanism reduces redundancy by injecting deterministic guidance solely when the specific automation task is triggered.

Do I need external scripts to package a TRAE skill?

No external scripts are mandatory to package a TRAE skill. A valid skill requires only a SKILL.md frontmatter specifying the name and description, alongside a descriptive body, though optional resources directories can be included.

How do I standardize automation workflows across multiple projects?

You standardize automation workflows by defining deterministic agent instructions as a reusable TRAE skill. Packaging these instructions in a SKILL.md ensures consistent execution and reduces redundancy across multiple projects.

What are the frontmatter requirements for a valid TRAE skill?

The frontmatter requirements for a valid TRAE skill mandate specifying the skill name and description in YAML format. This frontmatter combined with a descriptive body enables skill discovery and on-demand loading.

Why are my TRAE skills not loading during task execution?

TRAE skills fail to load if the SKILL.md frontmatter lacks mandatory name and description fields, or if the task description does not match the skill's descriptive body, preventing on-demand discovery and context injection.