marsai:writing-skills

Codify ad-hoc Skill drafts into test-validated SKILL.md structures with YAML frontmatter.

2|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/V4-Company/marsai --skill marsai-writing-skills
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: marsai:writing-skills
Source: https://github.com/V4-Company/marsai/tree/main/default/skills/writing-skills
Command: npx skills add https://github.com/V4-Company/marsai --skill marsai-writing-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Writing Skills often start as ad-hoc drafts and lack the discipline, testability, and structure that ensure consistent agent behavior. This skill defines a RED-GREEN-REFACTOR workflow for writing Skills and codifies frontmatter, progressive disclosure, and safety checks to prevent rationalization and scope creep.

Core Features & Use Cases

  • Standardized SKILL.md structure with YAML frontmatter (name + description) and a concise, ASO-friendly description.
  • Progressive disclosure patterns that load only what is needed (frontmatter, then SKILL body, then references/assets as required).
  • Built-in guidance for testing, anti-rationalization tables, and deployment readiness to ensure high-quality Skills.

Quick Start

Create a new MarsAI Skill by drafting SKILL.md with frontmatter and a minimal body, then run a baseline RED-GREEN-REFACTOR verification.

Frequently Asked Questions about marsai:writing-skills

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

FAQPage Schema
How do I structure a Claude Skill with YAML frontmatter and progressive disclosure?

To structure a Claude Skill, draft a SKILL.md file with YAML frontmatter containing name and description fields, followed by a concise three-section description body. Progressive disclosure loads only frontmatter first, then the body, and finally references or scripts as required.

What is the RED-GREEN-REFACTOR workflow for writing agent Skills?

The RED-GREEN-REFACTOR workflow for writing Skills is a test-driven development process that validates agent behavior. RED drafts the baseline Skill, GREEN verifies it passes structural and toxicity checks, and REFACTOR optimizes the content for ASO-friendly discovery and scope discipline.

How do I prevent rationalization and scope creep when generating AI documentation?

To prevent rationalization and scope creep in AI documentation, apply built-in anti-rationalization tables and strict frontmatter constraints during generation. This enforces concise descriptions, trigger guidance, and deployment readiness checks to maintain consistent agent behavior.

Do I need to write tests for ad-hoc Skill drafts before deployment?

Yes, you need to run baseline test validation for ad-hoc Skill drafts before deployment. The standardization process enforces test-validated Skills by verifying frontmatter constraints, description structure, and safety checks to ensure high-quality, consistent agent execution.

What is the best way to optimize Skill descriptions for discovery?

The best way to optimize Skill descriptions for discovery is to write ASO-friendly text within the YAML frontmatter. Include a concise description with trigger guidance, followed by a short Quick Start sentence, ensuring the content passes toxicity checks and frontmatter constraints.