Is there a performance overhead for using this skill?

No, the filtering process is O(n) relative to the path length and occurs before path compilation. Once validated, navigators are cached, ensuring zero runtime overhead during data processing.

Can this handle circular references in JSON or Dicts?

Yes, Möbius filtering identifies re-entry points into the same logical state and rejects them as invalid twists, effectively pruning infinite cycles before they can execute.

How does this improve developer productivity?

It catches invalid navigation logic during the validation phase rather than at runtime, preventing expensive errors, data corruption, and infinite loops in complex data transformations.

What is a Möbius twist in data navigation?

A Möbius twist occurs when a navigation path attempts to visit the same logical location from two different orientations simultaneously, which creates global ambiguity even if the steps appear valid locally.

Möbius Path Filtering

Name: Möbius Path Filtering
Author: plurigrid

byplurigrid

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Data Science & ML

Eliminates invalid and self-revisiting navigation paths in complex data structures using non-orientable topological constraints.

Möbius Path Filtering is a specialized tool designed to ensure the integrity of data navigation within complex, nested structures by applying topological invariants. By treating data paths as non-orientable surfaces, it detects and rejects 'Möbius twists'—scenarios where a navigator would traverse the same logical position from conflicting orientations. This pre-compilation validation prevents runtime errors, resolves naming ambiguities in nested dictionaries, and guarantees non-backtracking walks, making it indispensable for developers working with deeply nested JSON, large-scale data transformations, or circular references in functional navigators.

Key Features

017 GitHub stars

02Validates path orientation consistency before navigator compilation

03Guarantees non-backtracking walks for deterministic traversal

04Identifies circular references to prevent infinite navigation loops

05Integrates with Specter-style navigators for early error rejection

06Detects and prevents Möbius twists in data navigation paths

Use Cases

01Ensuring global path consistency in large-scale topological data analysis

02Validating complex JSON transformations to prevent ambiguous key collisions

03Preventing infinite loops when traversing data structures with circular references

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi möbius-path-filtering

For use in Claude.ai and ChatGPT

Download Skill