skill-factory

Create Claude skills with validation scripts and distribution packaging.

4|Updated May 20, 2026
One-click install
npx skills add https://github.com/valorisa/Claude-Skills --skill skill-factory-valorisa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-factory
Source: https://github.com/valorisa/Claude-Skills/tree/main/skills/skill-factory
Command: npx skills add https://github.com/valorisa/Claude-Skills --skill skill-factory-valorisa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Creating high-quality, production-ready Claude skills requires following official Anthropic patterns, proper validation, testing, and distribution packaging. Without a structured approach, skills suffer from poor triggering, token inefficiency, and inconsistent execution.

Core Features & Use Cases

  • Complete Lifecycle Management: Handles design, implementation, validation, iteration, and distribution of Claude skills following Anthropic's official best practices.
  • Quality Assurance: Includes automated validation scripts, trigger accuracy testing (>90% target), and performance baseline comparison to ensure skills work reliably.
  • Category-Based Design: Supports all three skill categories—Document Creation, Workflow Automation, and MCP Enhancement—with appropriate architectural patterns for each.

Quick Start

Use the skill-factory skill to create a production-ready Claude skill with validation, test suites, and distribution-ready packaging.

Frequently Asked Questions about skill-factory

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

FAQPage Schema
How do I create production-ready Claude skills that follow Anthropic best practices?

Create production-ready Claude skills by transforming workflows into portable components with YAML frontmatter, kebab-case naming, progressive disclosure structure, and validation scripts to ensure trigger accuracy and token efficiency.

What is progressive disclosure structure when building Claude skills?

Progressive disclosure structure organizes Claude skills to reveal complexity incrementally, optimizing token efficiency and execution reliability while maintaining trigger accuracy for document creation, workflow automation, and MCP enhancement.

How do I validate trigger accuracy for workflow automation skills?

Validate trigger accuracy for workflow automation skills by running automated validation scripts that test performance baselines and target over 90% trigger reliability before distribution packaging.

Do I need YAML frontmatter to package Claude skills for distribution?

Yes, YAML frontmatter with kebab-case naming is required to package Claude skills for distribution, ensuring proper triggering, consistent execution, and adherence to official Anthropic architectural patterns.

Can I use skill-factory to audit the quality and token efficiency of existing Claude skills?

Yes, you can use skill-factory to audit existing Claude skills by applying its automated validation scripts, testing trigger accuracy against a 90% target, and comparing performance baselines to identify token inefficiencies.

What's the best way to package MCP enhancement skills compared to document creation skills?

Package MCP enhancement and document creation skills by applying category-based architectural patterns specific to each type, using validation scripts and progressive disclosure to ensure reliable triggering and execution across both categories.