Does this skill work with any programming language?

Yes, it is language-agnostic. It analyzes file structures, common configuration files, and code samples to identify patterns regardless of the tech stack.

What is the primary benefit of using Project Skill Creator?

It captures the unique 'tribal knowledge' of your project—such as specific architectural patterns and naming conventions—that generic AI models wouldn't know otherwise, leading to more accurate code generation.

Where are the generated skills saved?

Generated skills are saved directly into your project's .claude/skills/ directory, allowing them to be version-controlled with your code.

Can I review the skills before they are created?

Yes, the skill includes a mandatory interactive planning phase where it presents a summary of findings and a list of proposed skills for your approval.

Project Skill Creator

Name: Project Skill Creator
Author: seanGSISG

byseanGSISG

学习与文档

Analyzes your codebase to automatically generate specialized Claude skills that capture project-specific architecture, conventions, and workflows.

关于

The Project Skill Creator is designed to transform institutional 'tribal knowledge' into discoverable documentation for AI agents. By performing a deep analysis of your repository's structure, configuration files, and code patterns, it identifies unique architectural designs, naming conventions, testing strategies, and deployment pipelines. It then generates standardized Claude Skills tailored specifically to your project, ensuring that future AI interactions remain consistent with your existing standards rather than relying on generic coding defaults.

主要功能

Extraction of testing philosophies and fixture patterns from existing tests
Interactive planning phase to review findings before skill creation
0 GitHub stars
Deep project architecture and directory structure discovery
Deployment and CI/CD workflow documentation generation
Automated identification of coding conventions and naming patterns

使用场景

Setting up a new project repository with custom AI-assisted guidance
Standardizing AI behavior across large-scale, complex microservices
Onboarding new team members by documenting existing codebase patterns

关于

主要功能

Extraction of testing philosophies and fixture patterns from existing tests
Interactive planning phase to review findings before skill creation
0 GitHub stars
Deep project architecture and directory structure discovery
Deployment and CI/CD workflow documentation generation
Automated identification of coding conventions and naming patterns

使用场景

Setting up a new project repository with custom AI-assisted guidance
Standardizing AI behavior across large-scale, complex microservices
Onboarding new team members by documenting existing codebase patterns