GitHub
rubric
Measurable criteria translating qualitative debate to quantitative scores
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Skills IA Données et IA
Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Catégories: Données et IA
Données et IA Effacer les filtres
Explorer
GitHub
play-learn-lift
Start Playing. Keep Learning. Lift Others.
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GitHub
data-flow
Rooms as pipeline nodes, exits as edges, objects as messages
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GitHub
subjective
First-person code — the "I" shifts based on who is speaking
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GitHub
slideshow
Present images in linear narrative form
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GitHub
protocol
Protocol names ARE K-lines.
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GitHub
roberts-rules
Parliamentary procedure as forcing function for genuine deliberation
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GitHub
bootstrap
Wake up, orient, and warm the context with foundational MOOLLM knowledge
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GitHub
sniffable-python
Structure Python so LLMs can understand it in 50 lines.
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GitHub
soul-chat
Everything is alive. Everything can speak.
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GitHub
buff
Temporary effects system — curses are just shitty buffs
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GitHub
manufacturing-intelligence
The slogan unpacked — seven readings of 'Manufacturing Intelligence'
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GitHub
persona
Identity layers for characters — WHO they are vs WHAT they do
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GitHub
prototype
Objects clone from prototypes, not instances from classes
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GitHub
goal
Quest objectives that drive narrative — the WANTS of adventure
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GitHub
postal
Complete messaging system — letters, texts, goals, rewards, attachments
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GitHub
object
Interactable things in the world — the atoms of adventure
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GitHub
bartender
Generic bartending capabilities — pour drinks, manage tabs, know regulars
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GitHub
memory-palace
Spatial organization of knowledge in navigable directories
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GitHub
skill-snitch
Security auditing for MOOLLM skills - static analysis and runtime surveillance
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GitHub
markdown
Plain text formatting that's readable raw AND rendered
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GitHub
society-of-mind
Intelligence emerges from many simple agents (Minsky)
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GitHub
simulator-effect
Implication beats simulation — imagination renders (Will Wright)
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GitHub
probability
Motto: The LLM is the dice. It narrates the outcome.
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Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.