claude-expert-skill-creator

🥈Silver

A non-slop skill creator for competent expert-level skills. Extract expertise through guided interviews or expert conversations, separate deterministic logic (scripts) from flexible interpretation (LLM), and load knowledge on-demand. Includes packaging tools, templates, and real-world examples.

1840Updated 1mo ago

Intermediate30min to implementautomation

Saves ~480 min per use

Quick InstallView Source

git clone https://github.com/vnicolescu/claude-expert-skill-creator.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/vnicolescu/claude-expert-skill-creator

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I'm creating an expert-level skill for [COMPANY] in the [INDUSTRY] sector. I need your help to structure this skill effectively. First, let's identify the core deterministic logic that should be handled by scripts. Then, we'll determine which aspects require flexible interpretation from an LLM. Finally, we'll package this skill with appropriate templates and examples. Here's the initial expertise we've gathered: [DATA]. How should we proceed?

Example Output

## Expert Skill Structure for [COMPANY] in [INDUSTRY] Sector

### Deterministic Logic (Script-Based Components)
- **Data Validation**: Script to validate input data against [INDUSTRY] standards
- **Calculation Engine**: Script to perform complex [INDUSTRY]-specific calculations
- **Integration Layer**: Scripts to interface with [COMPANY]'s existing systems

### Flexible Interpretation (LLM Components)
- **Contextual Analysis**: LLM to analyze and interpret [INDUSTRY] trends from unstructured data
- **Natural Language Interface**: LLM to handle user queries in natural language
- **Adaptive Recommendations**: LLM to provide tailored suggestions based on [COMPANY]'s specific context

### Knowledge Packaging
- **Templates**: Industry-standard report templates for [INDUSTRY]
- **Examples**: Real-world case studies from [COMPANY]'s operations
- **On-Demand Loading**: Knowledge modules organized by [INDUSTRY] subdomains

### Implementation Roadmap
1. Develop and test deterministic scripts
2. Integrate LLM components with clear boundaries
3. Package knowledge with appropriate metadata
4. Create user interfaces for skill interaction
5. Deploy and monitor skill performance