grep-skill-creator

Generate SKILL.md files for AI agent skills using GREP deep research.

1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/Parcha-ai/grep-research-skills --skill grep-skill-creator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grep-skill-creator
Source: https://github.com/Parcha-ai/grep-research-skills/tree/main/skills/grep-skill-creator
Command: npx skills add https://github.com/Parcha-ai/grep-research-skills --skill grep-skill-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automate the creation of high-quality SKILL.md files for AI agent skills using GREP deep research. This streamlines building new tools, plugins, or integrations by providing a solid, research-backed skeleton.

Core Features & Use Cases

  • Research-guided generation of production-ready SKILL.md files for new agent skills
  • Consistent frontmatter, structure, and content aligned with GREP quality standards
  • Save-ready outputs that can be placed in the project or used with Claude Code skill repositories

Quick Start

Provide a domain description and I will generate a complete SKILL.md using GREP research.

Frequently Asked Questions about grep-skill-creator

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

FAQPage Schema
How do I generate a SKILL.md file for a new AI agent skill?

To generate a SKILL.md file, provide a domain description to trigger GREP deep research, which produces a research-guided, production-ready skeleton with consistent frontmatter and quality-aligned structure.

What is a SKILL.md file used for in Claude Code or OpenClaw?

A SKILL.md file defines metadata, structure, and behavioral instructions for an AI agent skill, making it deployable within skill repositories for Claude Code, Cowork, or OpenClaw.

Can I automate SKILL.md creation for multiple agent plugins?

Yes, you can automate SKILL.md creation by providing domain descriptions for each plugin, applying a research-guided workflow to consistently produce save-ready outputs for your project repositories.

Does automated skill generation check for dependencies and toxicity?

Automated skill generation performs dependency and component checks, assesses toxicity, and validates frontmatter requirements alongside six quality patterns to ensure production-ready output.

What's the best way to ensure my AI skill metadata meets quality standards?

Use a research-guided generation workflow that validates frontmatter, applies six quality patterns, and runs toxicity assessments before saving the SKILL.md file to ensure quality standards.