skills-skills

Generate validated AI Skills from documentation using provided tools and scripts.

Updated Feb 23, 2026
One-click install
npx skills add https://github.com/zphwd/bianchengbaodian --skill skills-skills
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skills-skills
Source: https://github.com/zphwd/bianchengbaodian/tree/main/skills/skills-skills
Command: npx skills add https://github.com/zphwd/bianchengbaodian --skill skills-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bash, python3, pip, curl, tar, rsync, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the creation and improvement of AI Skills by providing a robust framework, templates, and validation tools, ensuring your Skills are effective and reliable.

Core Features & Use Cases

  • Skill Creation: Generate new Skills from documentation, code, or APIs using the vendored Skill Seekers tool.
  • Skill Refinement: Improve existing Skills by identifying and fixing common anti-patterns.
  • Quality Gate: Apply a strict validation process to ensure Skills meet production standards.
  • Use Case: You have a set of API documentation and want to turn it into a reusable AI Skill. Use this meta-skill to scaffold the Skill, extract key patterns, add examples, and validate its quality.

Quick Start

Use the create-skill.sh script to generate a new skill skeleton in the skills directory.

Frequently Asked Questions about skills-skills

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

FAQPage Schema
How do I turn API documentation into a reusable AI skill?

You can scaffold a new skill skeleton from arbitrary domain material like API documentation using the create-skill.sh script, which extracts key patterns and structures them into a validated, reusable AI skill.

What is the best way to validate AI skill quality before production?

The best way to validate AI skill quality is to apply automated quality gates and local validation scripts that check for common anti-patterns, ensuring your skills meet strict production standards before deployment.

How do I refine an existing AI skill to fix common anti-patterns?

To refine an existing AI skill and fix common anti-patterns, use the meta-framework's validation tools to identify structural weaknesses and apply best practice guidelines for standardized, maintainable skill development.

Do I need bash and python3 to build and validate AI skills?

Yes, you need bash, python3, pip, curl, tar, and rsync installed in your environment to run the scaffolding scripts, execute local validation, and support the skill development framework.

When should I use a meta-skill framework for skill development instead of manual coding?

You should use a meta-skill framework when you need to standardize skill creation from complex domain material, enforce automated quality gates, and maintain reliable, reusable AI skills at scale across multiple projects.