quimb-tensor-network

QuTiP/quimb tensor network skill for quantum many-body simulations and entanglement analysis

Repositorio: a5c-ai/babysitter
Última actividad en el origen: 1 de junio de 2026 a las 07:46
Idioma detectado de SKILL.md: inglés
Estrellas: 1652
Forks: 96

Opciones de instalación

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npx skills add https://github.com/a5c-ai/babysitter --skill quimb-tensor-network

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atlas-graph-query

Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)

2026-06-12

atlas

Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)

2026-06-12

assimilate-popular-workflows

This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.

2026-06-07

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name	quimb-tensor-network
description	QuTiP/quimb tensor network skill for quantum many-body simulations and entanglement analysis
allowed-tools	["Bash","Read","Write","Edit","Glob","Grep"]
metadata	{"specialization":"physics","domain":"science","category":"quantum-mechanics","phase":6}
graph	{"domains":["domain:physics"],"skillAreas":["skill-area:statistical-analysis","skill-area:mathematical-reasoning","skill-area:data-analysis"],"workflows":["workflow:experiment-design","workflow:peer-review-cycle"],"roles":["role:research-scientist","role:computational-scientist"]}