Epiphany - Modular Skill Tree

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夫尽小者大，积微者著。
Greatness is built from the smallest deeds; distinction from the smallest gains.
——Xunzi · General Principles

Epiphany is a data-driven, modular skill tree mod for Minecraft, inspired by the Tradition mechanics of the classic sci-fi strategy game Stellaris. As an API mod designed for developers, it does not include any built-in skill tree content or attribute modifications. Instead, it provides a highly flexible character building framework for modpack and mod authors.

Requires LDLib as a dependency.

Quick Start

Press the K key to open the Build System GUI.
Check out the example datapack and the Wiki to dive deeper into Epiphany and quickly create your own skill trees.

Features

Modular Building: Say goodbye to massive, monolithic skill trees. Players freely mix and match modules to craft their own unique progression path.
Fully Data-Driven: All modules, insights, epiphanies, and paths are defined through datapacks. Create a vast RPG skill system without writing a single line of Java.
Rich Built-in Presets: The mod ships with an extensive set of conditions and rewards ready to use out of the box:

30+ Condition Types: Dynamically evaluate player attributes, current structure, statistics, and more to auto-unlock modules and epiphanies. Includes logical and relational operators for complex expressions.
14+ Reward Types: Vanilla attribute modifiers, command execution, item granting, status effects, and much more.
13 Aptitude Sources**: Mining blocks, exploring biomes, slaying mobs… and what's more — aptitude gain is fully customizable!

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Highly Configurable: Through the config file, authors can easily adjust the aptitude level-up formula, player slot limits, experience gain multipliers, and notification toggles, blending seamlessly into any modpack's progression balance.
Strong Compatibility & Mod Support: Integrates with FTB Quests, KubeJS, and other mainstream modpack development tools. Provides an open API, custom events, and supports KubeJS scripting for both event listening and API calls.
Polished GUI: Built on LDLib, Epiphany features a carefully crafted UI with smooth node connections, draggable insight trees, and dynamic layout adjustments for a refined player experience.

Mod Architecture

Module: An independent, self-contained skill tree unit. Developers can configure selection costs, module caps, and more.
Insight: The smallest unit within a module — incremental upgrade nodes. Their effects tend toward quantitative changes (minor stat adjustments, etc.). Insights within a module automatically form a tree structure based on depth; an insight can only be unlocked once all of its parent nodes are lit.
Epiphany: When a player fully unlocks every insight within a module, the module is completed and grants +1 Epiphany Slot. The player can then use this slot to freely activate an Epiphany. Epiphany effects tend toward qualitative changes (new mechanics, powerful passives). Developers can set the maximum epiphany slot count.
Path: An optional categorization label for epiphanies. Epiphanies without a specified path fall into the default group.
Aptitude: The player's experience reservoir, earned by performing behaviors defined in datapacks. The formula for required aptitude per level is configurable.
Insight Point: Each time the aptitude bar fills, it automatically converts into 1 Insight Point. Players spend Insight Points to select modules and unlock insights.

Advanced Development & Future Plans

Want to go beyond the built-in presets? Epiphany offers comprehensive extension channels:

Rich custom events and APIs
KubeJS scripting support for event listening and data management
Conditions, rewards, and aptitude sources are all registered through the registry system — developers are welcome to build advanced gameplay addons on top of Epiphany

The author is also planning a series of addon packs that integrate with more mainstream mods for expanded data and behavior compatibility. Stay tuned!

AI Content Disclosure

During the development of this mod, AI tools were extensively used to automate batch coding tasks, greatly improving development efficiency. However, the core logic, framework architecture, UI/UX design, and all product details were fully directed and executed by human authors, while AI served only as an assistive tool.