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ordered-locale
Ordered Locale Skill
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Stars
10
Hot score
84
Updated
March 20, 2026
Overall rating
C3.5
Composite score
3.5
Best-practice grade
B75.1
Install command
npx @skill-hub/cli install plurigrid-asi-ordered-locale
Repository
Best for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: plurigrid.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install ordered-locale into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/plurigrid/asi before adding ordered-locale to shared team environments
- Use ordered-locale for development workflows
Works across
Claude CodeCodex CLIGemini CLIOpenCode
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: ordered-locale
description: Ordered Locale Skill
version: 1.0.0
---
# Ordered Locale Skill
**Trit**: +1 (PLUS/GENERATOR)
**GF(3)**: Ξ£(-1,0,+1) = 0 (conserved)
## Overview
Point-free topology with direction. MCP servers indexed by creation-time color via SplitMix64. Every decision trifurcates into MINUS/ERGODIC/PLUS parallel paths. GF(3) conservation guaranteed on every substrate in every interaction.
Implements Heunen-style ordered locales with observational bridge types in Narya proof assistant. Bridge types model the "way below" relation U βͺ V in ordered locales, providing a foundation for:
- **MCP Locale**: Servers as opens, dependencies as way-below
- Causal structure in topological spaces
- Directed homotopy theory
- Sheaves respecting directional constraints
- GF(3) triadic systems
## Files
| File | Description |
|------|-------------|
| `mcp_locale.py` | Python: MCP ordered locale with triadic decisions |
| `mcp_locale.mo` | Modelica: Acausal model (replaces Wolfram) |
| `narya/ordered_locale.ny` | Core definitions: π, Bridge, WayBelow, frame ops |
| `narya/gf3.ny` | GF(3) arithmetic and conservation |
| `narya/bridge_sheaf.ny` | Sheaves respecting bridge structure |
| `narya/narya-ordered-locale.el` | Emacs/Proof General integration |
| `ordered_locale.jl` | Julia: Frame operations, cones/cocones |
## MCP Locale
Every MCP server is an **open set** in the locale, indexed by creation-time color:
```python
from mcp_locale import create_mcp_locale, trifurcate_decision
locale = create_mcp_locale(seed=0x42D)
# Each MCP gets deterministic color: seed β SplitMix64 β RGB β hue β trit
```
### Triadic Decisions
Every decision trifurcates into parallel paths:
| Path | Trit | Role | Action |
|------|------|------|--------|
| MINUS | -1 | Validator | Check constraints |
| ERGODIC | 0 | Coordinator | Find optimal route |
| PLUS | +1 | Executor | Generate result |
```python
decision = trifurcate_decision(
"swap 10 APT",
seed=0x42D,
minus_fn=validate,
ergodic_fn=coordinate,
plus_fn=execute,
aggregate_fn=aggregate
)
# GF(3): -1 + 0 + 1 = 0 β
```
### Safe Parallelism via SplitMix64
```python
def splitmix_ternary(seed):
"""Fork into 3 independent streams."""
s1 = splitmix64(seed)
s2 = splitmix64(s1)
s3 = splitmix64(s2)
return (s1, s2, s3) # MINUS, ERGODIC, PLUS
```
Each substrate (Python, Julia, Babashka, Modelica) uses identical SplitMix64, ensuring reproducible parallel execution.
## Key Concepts
### Bridge Types
A bridge from A to B is a directed path through the directed interval π:
```
def Bridge (A B : Type) : Type := sig (
path : π β Type,
start : path zero. β A,
end : B β path one.
)
```
### Way Below (βͺ)
The way-below relation U βͺ V captures "U is compact relative to V":
```
def WayBelow (U V : Open) : Type := sig (
bridge : (t : π) β Open,
at_zero : ... β U,
at_one : V β ...,
directed : ...
)
```
### GF(3) Conservation
All triadic structures conserve sum β‘ 0 (mod 3):
```
def GF3Conserved (a b c : Trit) : Type :=
Id Trit (trit_sum3 a b c) ergodic.
```
## Commands
```bash
# Verify all files
~/.agents/skills/ordered-locale/narya/run_narya.sh
# Check GF(3) only
~/.agents/skills/ordered-locale/narya/run_narya.sh --gf3
# Run via headless Emacs
~/.agents/skills/ordered-locale/narya/run_narya.sh --emacs
```
## Emacs Integration
```elisp
;; Load the mode
(load "~/.agents/skills/ordered-locale/narya/narya-ordered-locale.el")
;; Key bindings
;; C-c C-n Step forward
;; C-c C-u Step backward
;; C-c C-v Verify all
;; C-c C-g Check GF(3)
```
## Related Skills
- `proofgeneral-narya` - Proof General + Narya integration
- `gf3` / `gay-mcp` - Triadic color systems
- `segal-types` - Synthetic β-categories
- `unworld` - Derivational chains
- `triad-interleave` - Parallel triadic scheduling
## References
- Heunen, C. - "Ordered Locales" (in `~/worlds/ordered-locales/heunen_orderedlocales.pdf`)
- Riehl-Shulman - "A type theory for synthetic β-categories"
- Narya proof assistant - https://github.com/gwaithimirdain/narya
## Mathematical Foundation
Ordered locales extend frame theory with a compatible partial order on opens. The key axiom is:
> Every open V is the join of opens U with U βͺ V
This approximation property connects point-free topology to domain theory and provides a constructive foundation for causal structure.
The bridge type formalization captures βͺ as a directed homotopy: paths that flow from U toward V through the directed interval π = {0 β 1}.
## Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
### Graph Theory
- **networkx** [β] via bicomodule
- Universal graph hub
### Bibliography References
- `general`: 734 citations in bib.duckdb
## Cat# Integration
This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:
```
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: β
Kan Role: Adj
Color: #26D826
```
### GF(3) Naturality
The skill participates in triads satisfying:
```
(-1) + (0) + (+1) β‘ 0 (mod 3)
```
This ensures compositional coherence in the Cat# equipment structure.