Tensor Network Research
Use when the user asks about tensor networks, tensor decompositions (CP, Tucker, HOSVD, HOOI, Tensor Train / TT, Matrix Product State / MPS, Tensor Ring / TR, Hierarchical Tucker / HT, PEPS, MERA, TTN, LPS, PARAFAC, randomized / streaming / sparse / nonnegative / orthogonal decompositions), tensor optimization on manifolds (Riemannian, Grassmann, Stiefel, fixed-rank, quotient, ALS, block coordinate, proximal, trust-region, projected gradient, Łojasiewicz / KL convergence), numerical linear algebra for tensors (SVD, QR, eig, polar, randomized SVD, Lanczos, Arnoldi, preconditioning, matrix compl
Install
npx skills add haotong-Duan/tensor-network-research --skill tensor-network-researchgit clone --depth 1 https://github.com/haotong-Duan/tensor-network-research.git /tmp/tensor-network-research
mkdir -p ~/.claude/skills
cp -r /tmp/tensor-network-research/. ~/.claude/skills/tensor-network-researchPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Tensor Network Research A research-grade assistant skill for tensor network science. Use this skill whenever a question, design task, paper draft, or implementation sits in the tensor-network / tensor-decomposition / tensor-manifold / tensor-network-ML neighborhood. ## What this skill provides 1. **Ten knowledge modules** under `references/` covering tensor algebra, decompositions, optimization, tensor networks, TN-ML, numerical linear algebra, scientific computing, proof assistance, paper reading, and paper writing. 2. **Eight workflows** under `workflows/` for reasoning, implementation, paper reading, paper writing, proof writing, algorithm design, coding, and experiment design. 3. **Reusable templates** under `templates/` for prompts, code, and reference patterns. 4. **Anti-patterns** under `mistakes/common-mistakes.md`. 5. **Resource index** covering notation, glossary, formula library, textbooks, seminal and recent papers, libraries, datasets, and repositories. ## When to load sub-files | User intent | Load first | | --------------------------------------------------- | ------------------------------------- | | Derive / verify a tensor identity | `references/01-tensor-algebra.md` | | Choose or critique a decomposition | `references/02-tensor-decompositions.md` |
Details
- Skill name
tensor-network-research- Repository
- haotong-Duan/tensor-network-research
- Repo updated
- 9 July 2026
FAQ
What does the Tensor Network Research skill do?
Use when the user asks about tensor networks, tensor decompositions (CP, Tucker, HOSVD, HOOI, Tensor Train / TT, Matrix Product State / MPS, Tensor Ring / TR, Hierarchical Tucker / HT, PEPS, MERA, TTN, LPS, PARAFAC, randomized / streaming / sparse / nonnegative / orthogonal decompositions), tensor optimization on manifolds (Riemannian, Grassmann, Stiefel, fixed-rank, quotient, ALS, block coordinate, proximal, trust-region, projected gradient, Łojasiewicz / KL convergence), numerical linear algebra for tensors (SVD, QR, eig, polar, randomized SVD, Lanczos, Arnoldi, preconditioning, matrix compl
How do I install the Tensor Network Research skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add haotong-Duan/tensor-network-research --skill tensor-network-research. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Tensor Network Research popular?
It lives in haotong-Duan/tensor-network-research, which has 5 GitHub stars and 0 forks.
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