beltrami-flow-detector
Systematic protocol for testing whether any information flow system satisfies the Beltrami condition ∇×J = λJ with golden eigenvalue λ = φ/r. Applies to neural nets, biological flows, plasma, fluid dynamics, cosmic filaments. Closes the TIER115 gap: transformer attention flows identified as Beltrami — but not yet formally proven. This skill provides the proof method.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install agentgptsmith-monadframework-beltrami-flow-detector
Repository
Skill path: .claude/skills/beltrami-flow-detector
Systematic protocol for testing whether any information flow system satisfies the Beltrami condition ∇×J = λJ with golden eigenvalue λ = φ/r. Applies to neural nets, biological flows, plasma, fluid dynamics, cosmic filaments. Closes the TIER115 gap: transformer attention flows identified as Beltrami — but not yet formally proven. This skill provides the proof method.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack, Testing.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: agentgptsmith.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install beltrami-flow-detector into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/agentgptsmith/MonadFramework before adding beltrami-flow-detector to shared team environments
- Use beltrami-flow-detector for development workflows
Works across
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Sub-skills: 0.
Aggregator: No.