pennylane SKILL.md skillA
pennylane from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/pennylane@v2.0Pins v2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/pennylane/SKILL.md- Versions recorded
- 7
- Latest version
- v2.0, committed Oct 1, 2026
- First version recorded
- May 27, 2026
- Size
- 7,218 bytes
- Repository stars
- 53,159
- License
- MIT
Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum algorithms, quantum machine learning, simulator validation, and moving validated circuits to provider plugins. For hardware-specific compilation use qiskit or cirq; for open-system dynamics use qutip.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# PennyLane ## When to use Use PennyLane to optimize parameterized circuits, build hybrid quantum-classical models, estimate molecular energies, or compare a validated circuit across devices. This skill targets stable PennyLane 0.45.1. The local examples use small synthetic systems; successful optimization does not establish quantum advantage, molecular accuracy, or hardware fidelity. ## Installation Create a dedicated environment; provider plugins and compiler dependencies should be resolved separately from unrelated scientific packages: ```bash uv venv --python 3.13 .venv-pennylane uv pip install --python .venv-pennylane/bin/python "pennylane==0.45.1" ``` PennyLane 0.45 requires NumPy 2+. Core installation includes Lightning. For ML, use the tested JAX 0.7.1/JAXlib 0.7.1 pair or PyTorch; do not assume the latest JAX is supported by this PennyLane release. See [device setup](references/devices_backends.md) for optional plugin versions and their verification limits. ## Workflow 1. Fix the problem convention: feature ordering and label encoding for ML; Hamiltonian sign for optimization; units, charge, multiplicity, basis, active space and mapping for chemistry. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/pennylane@sha256:7908ee374ed9bef3The line at the top of this page pins the label v2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_jo6a3m53g3vn2xxg)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 21 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0 latest | 2026-10-01 | a92663a | 7,218 B | A | view · diff |
| v1.3 | 2026-09-30 | ce9e6e9 | 9,442 B | A | view · diff |
| v1.2 | 2026-09-02 | 1e5eeff | 9,295 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 8,338 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 8,355 B | A | view · diff |
| v1.1 | 2026-06-04 | b2a969e | 8,350 B | A | view · diff |
| v1.0 | 2026-05-27 | 0936740 | 7,412 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7218 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 53,159 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jo6a3m53g3vn2xxg GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/pennylane GET https://markdownregistry.com/api/v1/blob/7908ee374ed9bef310bd7071a175d97e0428cec184cce3e36db9fe3ae8e77c52
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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