Can I integrate this with other logic?

Yes, it is built to be composable. You can chain it with verification games or encryption games using standard game theory operators.

What makes this file transfer skill unique?

Unlike standard FTP or SCP, it uses Compositional Game Theory (Open Games) and Lens Optics to treat transfers as bidirectional games with utility scoring and feedback loops.

What are the different transfer strategies?

It supports Sequential (strict ordering), Parallel (high bandwidth for large files), and Adaptive (dynamic scaling for unstable networks).

How does the utility scoring system work?

Transfers are scored from 0.0 to 1.0 based on delivery success, speed bonuses, and data completeness, which then propagates backward to the sender.

Do I need Tailscale installed to use this?

Yes, this skill is designed to operate specifically within a Tailscale mesh network environment to leverage its 100.x.y.z IP space and secure tunneling.

Tailscale Open Games File Transfer

Name: Tailscale Open Games File Transfer
Author: plurigrid

byplurigrid

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Cloud Infrastructure

Facilitates peer-to-peer file sharing over Tailscale mesh networks using bidirectional lens optics and compositional game theory.

About

The Tailscale File Transfer Skill integrates the Hedges Open Games framework with Tailscale's mesh VPN to provide a mathematically rigorous approach to file sharing. It implements a bidirectional 'play/coplay' mechanic where every transfer is treated as a compositional game, utilizing lens optics for state transformation and utility scoring. This skill is ideal for developers needing deterministic, verifiable file transfers across distributed systems while leveraging mesh network discovery and adaptive throughput strategies, allowing Claude to manage complex network topologies with game-theoretic optimization.

Key Features

Three transfer strategies: sequential, parallel, and adaptive throughput
Full integration with HedgesOpenGames framework for compositional logic
Bidirectional Lens Optics for state transformation and utility propagation
GF(3) trit-based semantics for covariant and contravariant perspective modeling
2 GitHub stars
Tailscale mesh network peer discovery and automatic IP resolution

Use Cases

Automating peer-to-peer asset distribution within secure, private Tailscale environments
Distributing machine learning models or analysis files across a distributed mesh network
Implementing verifiable file transfers in CRDT-based synchronization systems

About

Key Features

Three transfer strategies: sequential, parallel, and adaptive throughput
Full integration with HedgesOpenGames framework for compositional logic
Bidirectional Lens Optics for state transformation and utility propagation
GF(3) trit-based semantics for covariant and contravariant perspective modeling
2 GitHub stars
Tailscale mesh network peer discovery and automatic IP resolution

Use Cases

Automating peer-to-peer asset distribution within secure, private Tailscale environments
Distributing machine learning models or analysis files across a distributed mesh network
Implementing verifiable file transfers in CRDT-based synchronization systems