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typescript-data-visualization-engineering

Build typed data visualizations in TypeScript. Use when the user wants TypeScript visualization code, typed data models, browser visualization components, UML-like diagram models, interactive graph or architecture diagram contracts, scroll-driven scene contracts, library selection guidance, or a maintainable visualization architecture beyond React- or Next-specific concerns.

70

Quality

86%

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SKILL.md
Quality
Evals
Security

Quality

Content

72%Weight 40%Scale 1-3

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

A well-organized, actionable architecture skill with exemplary progressive disclosure via real one-level-deep bundle references. Its main weakness is redundancy across the Rules, React Guidance, and Output Expectations sections, and the lack of an explicit validate-fix-retry workflow loop.

Suggestions

De-duplicate the renderer/library lists and the WebGL/mobile/asset contracts so each appears once (e.g. keep the enumeration in 'Renderer and Library Selection' and have 'Output Expectations' reference it rather than re-listing), to reduce token cost.

Add a short explicit workflow with validation checkpoints for the common case (e.g. 1. define typed data schema, 2. validate external data at boundary, 3. build scales/geometry, 4. verify against the Output Expectations checklist) to lift workflow clarity.

Confirm the shared ../../references/foundations/*.md links resolve in the deployed skill tree; in this environment those paths are missing, which weakens navigation even though the local ./references bundle is clean.

DimensionReasoningScore

Conciseness

The body is information-dense and avoids explaining concepts Claude already knows, but it repeats itself across sections — the renderer/library enumerations recur in 'Renderer and Library Selection' and 'Output Expectations', and mobile/WebGL/asset contracts appear in TypeScript Rules, React Guidance, and Output Expectations — so it could be tightened.

2 / 3

Actionability

Concrete, specific instructional guidance throughout — e.g. 'Define a canonical view-state codec for shareable state: parse, validate, normalize defaults, serialize in stable order, and migrate or reject stale schema versions' and exact lists of types to model; absence of code is not penalized for an instruction-only skill with this level of actionable specificity.

3 / 3

Workflow Clarity

The numbered TypeScript Rules and Output Expectations give a loose sequence (define schema -> validate -> separate concerns -> output call-outs) and a final output checklist, but this is a principles/checklist set rather than a sequenced process, with no explicit validation feedback loop.

2 / 3

Progressive Disclosure

A clear overview with well-signaled one-level-deep references: the four ./references/*.md bundle files all exist and are linked from a dedicated References section, and content is appropriately split into scoped reference docs rather than nested chains.

3 / 3

Total

10

/

12

Passed

Description

100%Weight 40%Scale 1-3

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 names concrete capabilities and pairs an explicit 'what' with a rich 'Use when' trigger clause and a clear React/Next boundary. No major weaknesses; all dimensions score at the top of the scale.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — 'Build typed data visualizations in TypeScript', 'typed data models', 'browser visualization components', 'UML-like diagram models', 'scroll-driven scene contracts', 'library selection guidance' — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both what ('Build typed data visualizations in TypeScript') and when ('Use when the user wants TypeScript visualization code, typed data models, ...'), with explicit triggers, matching the top anchor.

3 / 3

Trigger Term Quality

Good coverage of natural terms users would say — 'TypeScript visualization code', 'interactive graph', 'architecture diagram', 'scroll-driven scene', 'library selection'; some phrasing leans technical but the set is broad and recognizable.

3 / 3

Distinctiveness Conflict Risk

Clear TypeScript-visualization niche with explicit carve-out 'beyond React- or Next-specific concerns', routing those cases elsewhere, so it is unlikely to trigger for the wrong skill.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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