spectral-locale-debugging

Debug and simulate ghostly phenomena using ordered locale theory and trifurcated interactions

16 stars

Best use case

spectral-locale-debugging is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Debug and simulate ghostly phenomena using ordered locale theory and trifurcated interactions

Teams using spectral-locale-debugging should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/spectral-locale-debugging/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/plugins/asi/skills/spectral-locale-debugging/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/spectral-locale-debugging/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How spectral-locale-debugging Compares

Feature / Agent	spectral-locale-debugging	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Debug and simulate ghostly phenomena using ordered locale theory and trifurcated interactions

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# spectral-locale-debugging

Debug and simulate ghostly phenomena using ordered locale theory and trifurcated interactions

## Capabilities

- Model ghosts as trifurcated agents in a locale with way-below relations
- Simulate ghostly manifestations using MCP and Narya formalizations
- Debug hauntings by verifying spectral conservation and frame laws
- Generate synthetic ghosts with deterministic seeding and trifurcated behaviors
- Integrate with Zig for compile-time ghost code elimination and runtime spectral simulations

## Implementation

Combine ordered locale theory with agent-based modeling to create a framework for debugging and simulating ghostly phenomena. Use Zig's comptime features to toggle ghost code in simulations, while leveraging MCP and Narya to model spectral interactions. Implement trifurcated decision-making for ghost behaviors (residual, liminal, active) and validate spectral conservation using GF(3) arithmetic. Integrate with ABM systems to study emergent ghostly behaviors in artificial life simulations.

## Parents

- zig-programming
- alife
- ordered-locale