What are the system requirements for using flix-datalog?

It currently requires JVM 21+ for the Flix compiler, though interim runtimes like Clojure (Datascript) or Babashka can be used for queries.

Is this skill optimized for high-performance data processing?

Currently, it acts as a clarity and logic layer. However, its trajectory includes migrating to GPU-accelerated Datalog (Sun et al.), which can offer up to 45x speedups over traditional C++ implementations.

What makes Flix-based Datalog different from standard Datalog?

Flix extends Datalog with first-class lattice semantics, allowing you to compute minimal or maximal fixed points (like shortest paths) rather than just simple reachability.

What are derangement properties in this skill?

Derangement ensures that during skill composition or consensus routing, every agent shifts to a new role (σ(i) ≠ i), which prevents the system from stalling in a static state.

Flix Datalog Reasoner

Name: Flix Datalog Reasoner
Author: plurigrid

byplurigrid

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Database Management

Implements declarative rule-based routing and lattice-based fixed-point computation using Flix-inspired Datalog logic.

The flix-datalog skill provides a sophisticated reasoning engine for the plurigrid/asi ecosystem, leveraging the unique lattice semantics of the Flix language. It allows developers to define complex, declarative rules for routing and state management while ensuring mathematical properties like derangement in skill composition and optimal fixed-point discovery. Designed as a clarity layer and a stepping stone toward high-performance GPU-accelerated Datalog, it is ideal for solving reachability, shortest-path, and multi-agent consensus problems within topological computing environments.

Key Features

01Derangement enforcement to prevent agent role stagnation in consensus models

02GF(3) coloring to assign and compare skill trits using partial orders

03Declarative rule-based routing for complex network and multi-agent systems

04Lattice-based fixed-point computation for finding optimal rather than just boolean truths

05Transitional support for JVM, Clojure, or GPU-accelerated Datalog runtimes

068 GitHub stars

Use Cases

01Calculating shortest-path routing in decentralized peer-to-peer networks

02Managing agent role shifts in consensus protocols via derangement properties

03Performing advanced static analysis or network monitoring using declarative logic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi flix-datalog

For use in Claude.ai and ChatGPT

Download Skill