ReddRadar
Agent skill
quimb-tensor-network
QuTiP/quimb tensor network skill for quantum many-body simulations and entanglement analysis
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/physics/skills/quimb-tensor-network
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- quantum-mechanics
- specialization
- physics
SKILL.md
Quimb Tensor Network
Purpose
Provides expert guidance on tensor network simulations for quantum many-body systems, including MPS, DMRG, and entanglement analysis.
Capabilities
- MPS and DMRG calculations
- TEBD time evolution
- Entanglement entropy computation
- Quantum master equation solving
- Open quantum systems dynamics
- GPU-accelerated contractions
Usage Guidelines
- State Representation: Use MPS for one-dimensional systems
- Ground States: Run DMRG for ground state calculations
- Time Evolution: Use TEBD for dynamics
- Entanglement: Calculate entanglement entropy and spectra
- Open Systems: Model dissipative quantum systems
Tools/Libraries
- quimb
- QuTiP
- ITensor
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
a5c-ai/babysitter
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
a5c-ai/babysitter
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
a5c-ai/babysitter
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitter
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitter
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
a5c-ai/babysitter
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?