pro-skill-creator

Create, review, and improve standard skills with defined triggers and inputs.

7|Updated Jun 19, 2025

Search Tags:#python #skill creation #skill management #skill improvement #skill review

Ready to run

npx skills add https://github.com/Cassiiopeia/projectops --skill pro-skill-creator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pro-skill-creator
Source: https://github.com/Cassiiopeia/projectops/tree/main/skills/pro-skill-creator
Command: npx skills add https://github.com/Cassiiopeia/projectops --skill pro-skill-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, yaml, markdown, requests, json, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the process of creating, reviewing, and improving standard skills, reducing manual effort and ensuring quality.

Core Features & Use Cases

Skill Creation: Automate the creation of standard skills with triggers, inputs, outputs, and pain points extraction.
Skill Review: Review existing skills against 8 core principles and best practices.
Skill Improvement: Apply patches and improvements to existing skills based on review feedback.
Use Case: For a developer looking to create a skill for issue tracking, this Skill would guide through the entire process from initial concept to final implementation.

Quick Start

Use the pro-skill-creator skill to create a new skill for issue tracking by saying "create a new issue tracking skill".

Frequently Asked Questions about pro-skill-creator

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

FAQPage Schema

How do I automate skill creation with defined triggers and inputs?▼

Automating skill creation involves defining specific triggers, inputs, outputs, and pain points to generate a standard skill structure. This process reduces manual effort by systematically handling the initial conceptualization and framework setup for developers.

What is the best way to review existing skills against core principles?▼

Reviewing existing skills involves evaluating them against 8 core principles and best practices to ensure quality and consistency. This systematic review identifies gaps in the skill's design, verifying that all defined inputs and outputs function as intended.

Do I need Python to use this skill management and improvement process?▼

Yes, Python is required for this skill management and improvement process. The environment relies on Python alongside dependencies like yaml, markdown, requests, and json to execute the scripts necessary for data processing and automated skill reviews.

How do I apply patches to improve an existing skill based on review feedback?▼

Applying patches to improve an existing skill uses the feedback generated from a core principle review to update the skill's components. This targeted improvement mechanism directly modifies scripts and references to resolve identified deficiencies.

Can I use markdown and yaml for standard skill creation?▼

Yes, markdown and yaml are supported formats for standard skill creation. These formats are utilized within the skill's components to structure references, scripts, and assets, ensuring the automated creation process yields well-formatted outputs.