qutip

Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.

Quality

90%

Does it follow best practices?

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Securityby

Passed

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The canonical home for this skill is qutip in K-Dense-AI/scientific-agent-skills

Quality

Content

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Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-organized, highly actionable QuTiP skill with executable examples and exemplary progressive disclosure that delegates depth to one-level-deep reference files. Marginal gains are available in trimming redundant prose and adding explicit verification/convergence checkpoints in the worked workflows.

Suggestions

Tighten the inline capability sections (e.g., 'Core Capabilities') where content duplicates the corresponding reference files, keeping SKILL.md to the minimum needed to choose an approach.

Add an explicit convergence/verification checkpoint to at least one Common Workflow (e.g., 'Vary ntraj and Hilbert space dimension to confirm the result has converged') to model a feedback loop.

Replace the 'from qutip import *' star-import in Quick Start with an explicit import list, since the rest of the body already uses named functions and it models better practice.

Dimension	Reasoning	Score
Conciseness	Largely efficient and code-driven without explaining concepts Claude already knows, but a few capability sections overlap with content in the reference files and some commented labels and prose could be trimmed, keeping it just below the lean anchor 5.	4 / 5
Actionability	Provides copy-paste-ready, executable code throughout with concrete function names and three complete worked examples (damped oscillator, entanglement dynamics, Jaynes-Cummings), covering the common cases fully.	5 / 5
Workflow Clarity	The three Common Workflows are clear, complete, and sequenced end-to-end, and the domain (simulation/plotting) does not require destructive-operation validation; however, no explicit verification or convergence-check checkpoints are shown in the workflows, leaving it just below anchor 5.	4 / 5
Progressive Disclosure	Clear overview with each capability section ending in a well-signaled, one-level-deep 'See references/X.md' pointer (verified: reference files contain no further nested references), plus a References section listing all bundle files with descriptions, matching the top anchor.	5 / 5
	Total	18 / 20 Passed

Description

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Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-targeted description that clearly states what the library does, when to use it, and when not to, with rich natural trigger terms and explicit boundary guidance against adjacent quantum-computing skills. Only minor room to convert capability framings into a longer list of discrete actions.

Dimension	Reasoning	Score
Specificity	Names the domain ('open quantum systems') and several concrete capability areas (master equations, Lindblad dynamics, decoherence, quantum optics, cavity QED), but frames them as study topics rather than enumerating many discrete actions, leaving minor coverage gaps versus the comprehensive anchor 5.	4 / 5
Completeness	Explicitly answers both 'what' (simulation library for open quantum systems) and 'when' ('Use when studying...'), and adds a concrete 'NOT for...' boundary with named alternatives, matching the top anchor.	5 / 5
Trigger Term Quality	Provides comprehensive natural domain keywords users would actually say — 'master equations', 'Lindblad dynamics', 'decoherence', 'quantum optics', 'cavity QED' — via an explicit 'Use when studying...' clause with multiple synonyms.	5 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (open quantum systems simulation) and explicitly disambiguates from circuit-based quantum computing skills by naming qiskit/cirq/pennylane, minimizing conflict risk.	5 / 5
	Total	19 / 20 Passed

Validation

87%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: synthetic-sciences/openscience
Path: backend/cli/skills/quantum/qutip/SKILL.md
Commit: 04797e6

Reviewed: 3 days ago

Table of Contents

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