What is PLR in the context of thread coloring?

PLR stands for Parallel, Leading-tone, and Relative transitions. These are operations that navigate color space while keeping 2/3 of the components stable, allowing for logical shifts in thread identity and behavior.

How does this skill improve Claude's efficiency?

It reduces the complexity of managing thread states from an exponential 128-bit keyspace to a 9-class behavior system, enabling O(1) lookups and faster task categorization.

What are the 9 behavior classes?

The system maps PLR operations across three trit states (-1, 0, +1) to create classes like Validate (L-Minus), Explore (P-Ergodic), and Expand (P-Plus), covering a full range of development actions.

What is the benefit of the 'User Illusion' mentioned in the skill?

The user illusion provides the feeling of rich, granular control over a massive thread space while the underlying system operates on a simplified, reliable index that fits within working memory.

PLR Thread Coloring & Behavior Indexer

Name: PLR Thread Coloring & Behavior Indexer
Author: plurigrid

byplurigrid

•

Productivity & Workflow

Simplifies complex thread identities into a 9-class color-coded behavior system using PLR transitions and GF(3) logic.

About

PLR Thread Coloring is a specialized skill that transforms high-entropy thread identifiers into actionable, color-coded behavioral classes. By reducing 128-bit keyspaces to 1.58-bit GF(3) trits, it allows developers to visually track and systematically index different types of work—such as exploration, validation, or generation—through Parallel, Leading-tone, and Relative transitions. This creates a cohesive 'user illusion' that simplifies complex navigation while growing the information capacity of the development environment through efficient perception-action mapping.

Key Features

Field Capacity Growth: Scales information field capacity based on transition diversity.
9-Class Behavior Index: Categorizes actions into validated, ergodic, or expansive states.
2 GitHub stars
Keyspace Reduction: Maps massive 128-bit identifiers to a tractable GF(3) trit system.
PLR Transitions: Navigates color space using Parallel, Leading-tone, and Relative operations.
Thread Identity Generation: Converts UUIDs into unique LCH seeds for consistent thread coloring.

Use Cases

Automating behavior indexing for different development tasks like debugging versus feature generation.
Visualizing complex asynchronous workstreams through distinct color paths and identities.
Optimizing thread management performance via O(1) behavior lookups.

About

Key Features

Field Capacity Growth: Scales information field capacity based on transition diversity.
9-Class Behavior Index: Categorizes actions into validated, ergodic, or expansive states.
2 GitHub stars
Keyspace Reduction: Maps massive 128-bit identifiers to a tractable GF(3) trit system.
PLR Transitions: Navigates color space using Parallel, Leading-tone, and Relative operations.
Thread Identity Generation: Converts UUIDs into unique LCH seeds for consistent thread coloring.

Use Cases

Automating behavior indexing for different development tasks like debugging versus feature generation.
Visualizing complex asynchronous workstreams through distinct color paths and identities.
Optimizing thread management performance via O(1) behavior lookups.