qiskit

IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.

Quality

86%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Passed

No findings from the security scan

Quality

Content

78%Weight 40%Scale 1-5

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

A well-structured, highly actionable skill body with strong progressive disclosure and executable patterns throughout. Its main weakness is token efficiency: marketing statistics and redundant per-section topic lists add tokens that assume little of Claude and could be trimmed.

Suggestions

Remove marketing claims from the Overview ('world's most popular... 13M+ downloads', '83x faster transpilation', '29% fewer two-qubit gates') since they do not guide Claude's execution.

Cut or condense the 'Topics covered' bullet lists under each Core Capabilities section; the one-line description plus the reference link already convey what each file covers.

Add an explicit validation checkpoint to the hardware-execution and VQE workflows (e.g., 'Verify job status and inspect results before proceeding; re-run with adjusted shots on error') to elevate workflow clarity.

Dimension	Reasoning	Score
Conciseness	Mostly efficient code-focused prose that assumes quantum literacy, but it carries marketing padding ('world's most popular... 13M+ downloads', '83x faster transpilation', '29% fewer two-qubit gates') and per-section 'Topics covered' bullet lists that restate each section's purpose, landing it at the mostly-efficient-with-some-unnecessary-explanation anchor.	3 / 5
Actionability	Fully executable, copy-paste-ready code across the Quick Start and three Common Patterns (simple circuit, hardware execution with transpilation, VQE variational loop), each with imports and complete call chains covering the common cases.	5 / 5
Workflow Clarity	Clear sequences are present (the Map→Optimize→Execute→Post-process patterns workflow, the numbered Best Practices development workflow, and a routing decision guide), with implicit checkpoints like 'check backend status' and 'monitor convergence' but no explicit validate→fix→retry feedback loop.	4 / 5
Progressive Disclosure	Clean overview body pointing to eight real one-level-deep reference files (setup, circuits, primitives, transpilation, visualization, backends, patterns, algorithms), each clearly signaled with 'See references/X.md' and grouped with a navigation decision guide.	5 / 5
	Total	17 / 20 Passed

Description

95%Weight 40%Scale 1-5

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, third-person description that crisply states the framework's purpose, gives concrete trigger conditions, and proactively disambiguates against rival quantum libraries. Minor specificity gap (use-case framing rather than enumerated actions) keeps it just below a perfect specificity score.

Dimension	Reasoning	Score
Specificity	Lists several specific capabilities ('targeting IBM Quantum hardware', 'working with Qiskit Runtime for production workloads', 'IBM optimization tools', 'quantum error mitigation', 'enterprise quantum computing'), with only minor gaps in concrete action coverage; it stops just short of the comprehensive multi-action list at score 5.	4 / 5
Completeness	Explicitly answers both what ('IBM quantum computing framework') and when ('Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools') with concrete trigger phrases, matching the score-5 anchor.	5 / 5
Trigger Term Quality	Comprehensive natural keyword coverage including 'IBM Quantum hardware', 'Qiskit Runtime', 'quantum computing', 'quantum error mitigation', plus synonyms and adjacent tools (cirq, pennylane, qutip) that users would name when routing between frameworks.	5 / 5
Distinctiveness Conflict Risk	Clear IBM-quantum niche with explicit boundary routing to cirq (Google), pennylane (gradient ML), and qutip (open systems), giving minimal conflict risk with neighboring frameworks.	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/qiskit/SKILL.md
Commit: 543b17f

Reviewed: 1 day ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.