How does the dispatcher identify which bundle to use?

The skill includes an 'infer-bundle' capability that analyzes task descriptions for specific patterns—like 'train' for learning or 'lint' for database—to automatically select the most relevant subagent group.

What is GF(3) triadic task routing?

GF(3) routing is a mathematical framework that organizes tasks into triads (Validator, Coordinator, and Generator). By ensuring these roles sum to 0 mod 3, the system maintains logical balance and structural integrity throughout the workflow.

Can I mix skills from different functional areas?

Yes, the cross-compose feature allows you to create hybrid triads using a Validator from one bundle and a Generator from another, provided the triadic conservation rule is still satisfied.

What role does DuckDB play in this skill?

DuckDB is used as a persistent log to record every dispatch event, allowing developers to query and verify that all operations have remained conserved and balanced over time.

GF(3) Task Dispatcher

Name: GF(3) Task Dispatcher
Author: plurigrid

byplurigrid

•

Productivity & Workflow

Orchestrates complex AI workflows through GF(3) triadic task routing to ensure balanced and conserved execution.

About

skill-dispatch is a high-level orchestration layer designed for Claude Code that manages subagent tasks using the principles of GF(3) triadic conservation. It organizes specialized skills into bundles—such as core, database, and learning—and routes every task to a triad consisting of a Validator (-1), Coordinator (0), and Generator (+1). This mathematical approach ensures that every execution pipeline is structurally balanced and compositionally coherent, making it ideal for developers building complex, multi-stage AI agent systems or topological data workflows.

Key Features

2 GitHub stars
Cross-bundle skill composition for flexible hybrid workflows
Full triad pipeline execution (Validator → Coordinator → Generator)
Triadic task routing based on GF(3) conservation logic
DuckDB integration for logging and verifying conserved execution states
Automated bundle inference from natural language task descriptions

Use Cases

Orchestrating multi-agent systems for complex software development and auditing
Maintaining logical balance in scientific modeling and data processing pipelines
Automating distributed workflows spanning database linting, querying, and code generation

About

Key Features

2 GitHub stars
Cross-bundle skill composition for flexible hybrid workflows
Full triad pipeline execution (Validator → Coordinator → Generator)
Triadic task routing based on GF(3) conservation logic
DuckDB integration for logging and verifying conserved execution states
Automated bundle inference from natural language task descriptions

Use Cases

Orchestrating multi-agent systems for complex software development and auditing
Maintaining logical balance in scientific modeling and data processing pipelines
Automating distributed workflows spanning database linting, querying, and code generation