flow-engineer-skill

Create and validate structured SKILL.md files with YAML frontmatter.

3|Updated Oct 5, 2025

Search Tags:#workflow #template #validation #packaging #ai-agent #skill #skill-md

Ready to run

npx skills add https://github.com/korchasa/flow --skill flow-engineer-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: flow-engineer-skill
Source: https://github.com/korchasa/flow/tree/main/framework/skills/flow-engineer-skill
Command: npx skills add https://github.com/korchasa/flow --skill flow-engineer-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Designing and documenting consistent Skill Units (SKILL.md) for AI agents across IDEs, ensuring easy discovery, validation, and reuse.

Core Features & Use Cases

Clear frontmatter structure (name + description) for quick discovery
Templates and guidance to create SKILL.md bodies and optional bundles (scripts, references, assets)
Validation, packaging, and initialization tooling to streamline Skill rollout
Real-world workflows for creating, updating, and maintaining skills across teams

Quick Start

Create a new skill directory named flow-engineer-skill, populate SKILL.md with the correct frontmatter and body, and optionally add scripts/, references/, and assets/ as needed.

Frequently Asked Questions about flow-engineer-skill

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

FAQPage Schema

How do I create structured SKILL.md files for AI agents across different IDEs?▼

Agent Skills require YAML frontmatter containing a name and description for discovery, a structured markdown body defining the workflow, and optional bundled directories for scripts, references, and assets to support packaging and validation tooling.

How do I validate YAML frontmatter in AI agent skill templates?▼

To package AI agent skills for team rollout, populate a skill directory with a validated SKILL.md file and optional bundles, then use the provided initialization and packaging tooling to generate repeatable, validated artifacts ready for deployment.

What is the best way to document AI agent workflows for team reuse?▼

Agent Skills support optional bundles by allowing you to include separate directories for scripts, references, and assets alongside your SKILL.md file, providing packaged artifacts that extend the modular workflow capabilities for AI agents.

Do I need external dependencies to initialize and package modular AI workflows?▼

You do not need external dependencies to initialize and package modular AI workflows, as the tooling provides built-in templates, YAML frontmatter validation, and packaging scripts that operate independently within your skill directory structure.