Browse published AI skills maintained by JHaugaard. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
9Repository stars across indexed skills
0Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
Display project workflow progress by reading handoff documents in .docs/ directory. This skill should be used when users want to check their workflow status, see what phase they're in, or when other workflow sk...
Analyze project briefs to resolve architectural ambiguity before tech stack selection. Determines greenfield vs brownfield, platform constraints, integration requirements, scale expectations, and team context....
Recommend hosting strategy based on chosen tech stack and project needs. Provides deployment workflow, cost breakdown, and scaling path.
Set up testing infrastructure and strategy for a project. This skill should be used when a project is ready for testing setup, including test framework configuration, initial test scaffolding, and documentation...
Analyze project requirements and recommend appropriate technology stacks with detailed rationale. Provides primary recommendation, alternatives, and ruled-out options with explanations.
Analyze a project and implement CI/CD pipelines tailored to its tech stack and deployment target. This skill should be used when a project is ready for automated testing and/or deployment. Generates GitHub Acti...
Transform rough project ideas into problem-focused briefs that preserve learning opportunities and feed into the Skills workflow (tech-stack-advisor -> deployment-advisor -> project-spinup).
Guide user through actual deployment steps for their application. This skill should be used when a project is ready to deploy to production. Walks through pre-deployment checks, deployment execution, and post-d...
Generate complete project foundations with personalized claude.md, Docker setup, and project structure. Supports Guided Setup or Quick Start.
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.