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Dépôt GitHub

Titan-VTTRPG

Titan-VTTRPG contient 4 skills collectées depuis Solidor777, avec une couverture métier par dépôt et des pages de détail sur le site.

skills collectés
4
Stars
3
mis à jour
2026-06-19
Forks
1
Couverture métier
1 catégories métier · 100% classifié
explorateur de dépôts

Skills dans ce dépôt

titan-codebase
Développeurs de logiciels

Orientation map of the TITAN Foundry VTT system codebase — load this BEFORE building, adding, or modifying anything under systems/titan to learn what already exists, where it lives, the core abstractions and how they relate, and how new work should fit in. Covers the src/ layout, key classes (Check, TitanActor, DataModels, chat-message reports, rules-elements, sheets), data/control flow, and conventions (the `~/` import alias, SCSS mixins, assert()). This skill is descriptive — a map, not a rulebook — and self-updating: reconcile its knowledge against what you learned at the end of each task.

2026-06-19
graphify-windows
Développeurs de logiciels

Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.

2026-06-18
titan-codebase
Développeurs de logiciels

Orientation map of the TITAN Foundry VTT system codebase. Load before building, adding, or modifying anything under systems/titan to learn what already exists, where it lives, core abstractions, data flow, and conventions. This skill is descriptive and self-updating; reconcile its knowledge against what you learn at the end of each task.

2026-06-18
graphify-windows
Développeurs de logiciels

Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.

2026-06-10