goal
Quest objectives that drive narrative — the WANTS of adventure
Discover Research skills, compare source repositories and read the instructions for each workflow.
Quest objectives that drive narrative — the WANTS of adventure
Complete messaging system — letters, texts, goals, rewards, attachments
Interactable things in the world — the atoms of adventure
Generic bartending capabilities — pour drinks, manage tabs, know regulars
Spatial organization of knowledge in navigable directories
Security auditing for MOOLLM skills - static analysis and runtime surveillance
Plain text formatting that's readable raw AND rendered
Intelligence emerges from many simple agents (Minsky)
Implication beats simulation — imagination renders (Will Wright)
Motto: The LLM is the dice. It narrates the outcome.
Companions and group dynamics — you're never alone
Objects announce what they can do — The Sims style
Educational philosophy — learn by building inspectable things
Cannabis-specialized bartender — strains, terpenes, edibles, rolling
Big-endian file naming as semantic binding
The LLM as consistency maintainer and orchestrator
Systematic bug investigation with hypothesis tracking
Build narrative capture and sharing into the system.
Independent assessment without debate context — adversarial loop prevents gaming
I see what you describe. Let me show it to others.
Manufacturing Intelligence — Leela AI applies MOOLLM to industry
Sims-inspired task scheduling — queue actions, execute in order
Missing state triggers repair, not failure.
A skill is documentation that learned to do things.
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.