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condensed-anima-qc

This skill presents a conceptual framework for modeling quantum-classical network transitions using s-expressions as a universal intermediate. It defines a boundary between quantum and classical states with measurement and preparation operations, implemented across multiple Lisp dialects. The documentation is highly abstract and lacks concrete examples of actual usage or integration with real quantum hardware.

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
C3.9
Composite score
3.6
Best-practice grade
B77.6

Install command

npx @skill-hub/cli install plurigrid-asi-condensed-anima-qc
quantum-computinglispnetwork-simulationtheoretical-framework

Repository

plurigrid/asi

Skill path: skills/condensed-anima-qc

This skill presents a conceptual framework for modeling quantum-classical network transitions using s-expressions as a universal intermediate. It defines a boundary between quantum and classical states with measurement and preparation operations, implemented across multiple Lisp dialects. The documentation is highly abstract and lacks concrete examples of actual usage or integration with real quantum hardware.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack, Integration.

Target audience: Research teams looking for install-ready agent workflows..

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 condensed-anima-qc into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/plurigrid/asi before adding condensed-anima-qc to shared team environments
  • Use condensed-anima-qc for research workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

condensed-anima-qc | SkillHub