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Lordjiggy AI Skills

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Browse published AI skills maintained by Lordjiggy. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

23

Repository stars across indexed skills

23

Repository forks

23

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

23 skills

Browse skills

GitHub

qa-engineer

Lordjiggy

QA specialist agent for test planning, execution, and regression analysis

GitHub

security-scanner

Lordjiggy

Comprehensive security scanner for vulnerabilities, hardcoded secrets, and OWASP Top 10 issues

GitHub

readme-generator

Lordjiggy

Generates comprehensive README.md files for software projects by analyzing codebase structure

GitHub

workflow-composer

Lordjiggy

Chain multiple skills together into automated workflows with conditional logic and parallel execution

GitHub

pr-reviewer

Lordjiggy

Autonomous AI-powered pull request reviewer with multi-agent analysis and comprehensive feedback

GitHub

database-query

Lordjiggy

Natural language database queries with multi-database support, query optimization, and visual results

GitHub

tech-writer

Lordjiggy

Technical documentation specialist - create docs, API references, user guides for technical and non-technical audiences

GitHub

code-migrator

Lordjiggy

Migrate legacy code to modern frameworks, languages, and patterns with automated refactoring and testing

GitHub

k8s-generator

Lordjiggy

Generate production-ready Kubernetes manifests with Deployments, Services, ConfigMaps, and Ingress

GitHub

docker-wizard

Lordjiggy

Generate optimized Dockerfiles and docker-compose.yml with best practices and multi-stage builds

GitHub

api-connector

Lordjiggy

Connect to 100+ popular APIs using natural language - automatic authentication, request building, and response parsing

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.