Browse published AI skills maintained by JoshuaOliphant. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
9Repository stars across indexed skills
23Repository forks
2Average repository stars per indexed skill
3Repository stars may repeat across skills from the same repository.
Bootstrap AI Developer Workflows (ADWs) infrastructure in any codebase. Use when user wants to: "set up ADWs", "bootstrap agentic workflows", "add AI developer workflows", "enable programmatic agent execution",...
Create evidence-based spaced repetition flashcards using cognitive science principles from Andy Matuschak's research. Use when user wants to create Mochi cards, flashcards, study materials, or mentions learning...
Use when running verification pipelines, checking test/lint/type status, or ensuring code quality gates pass before completing work
Use when implementing features with test-driven development, writing tests before code, or following the red-green-refactor cycle
Use when managing work items with Beads CLI, creating task dependencies, tracking feature implementation progress, or orchestrating SDLC workflows with bd commands
Bootstrap AI Developer Workflows (ADWs) infrastructure in any codebase. Use when user wants to: "set up ADWs", "bootstrap agentic workflows", "add AI developer workflows", "enable programmatic agent execution",...
Comprehensive financial analysis for rental property owners considering renting vs. selling their home. Calculates cash flow, key investment metrics (cap rate, IRR, NPV), break-even analysis, and compares renta...
Expert guide for Jean Claude CLI - a sophisticated AI orchestration framework featuring two-agent workflows, event sourcing, coordinator pattern with ntfy.sh, agent note-taking, mailbox communication, and real-...
Development guide for working on the Jean Claude project itself. Use this skill when making changes to Jean Claude's source code, tests, documentation, or architecture. This skill provides project-specific test...
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.