CtrlK
BlogDocsLog inGet started
Tessl Logo

visualization-strategy-and-critique

Choose, lay out, critique, and explain data visualizations. Use when the user asks what visualization fits a dataset or goal, how a chart, dashboard, operational workspace, UML-like diagram, or software architecture diagram should be composed or interacted with, asks for visual page design, a layout mockup, generated large-screen and mobile concept images, or to be shown what a visualization could look like, when domain-native contextual surfaces or graphical backgrounds may help, when scrollytelling or parallax might be appropriate, wants a critique of an existing visualization, or needs guidance grounded in trusted visualization theory and practice. For advanced visual design or page-layout prompts where composition affects understanding, Codex must generate and show both large-screen and mobile portrait image concepts before implementation or text-only design handoff, plus mobile landscape when needed.

70

Quality

86%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

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.

The body is well-structured with actionable heuristics and clean progressive disclosure into one-level-deep references. Its main weaknesses are length/repetition and a branching procedure that lacks explicit validation feedback loops.

Suggestions

Collapse the repeated planning-tool enumerations (MS Project, Primavera, Jira, ...) into a single reference rather than restating the list across the procedure and prompts sections.

Tighten the longest enumerative passages in Layout and Interaction Defaults and Chart Selection Heuristics so each directive earns its token cost.

Add one or two explicit validation/approval checkpoints (e.g., a verify-then-proceed step) into the Default Procedure to convert the branching sequence into a clearer verified workflow.

DimensionReasoningScore

Conciseness

The body is dense and directive without explaining basics Claude knows, but its ~200 lines include repeated enumerations (tool lists like "MS Project, Primavera, Jira..." and reference pointers restated across sections) that could be tightened.

2 / 3

Actionability

Provides concrete, specific decision guidance — chart-type-to-use-case heuristics ("Use bars, dots, and tables...for precise comparisons"), a 22-item critique checklist, and explicit anti-patterns — which is actionable for an instruction-only skill.

3 / 3

Workflow Clarity

A clear 20-step Default Procedure exists with gating cues ("before choosing a renderer", "after concept approval"), but the path is heavily conditional/branching and lacks explicit validate-fix-retry feedback loops.

2 / 3

Progressive Disclosure

The body is an overview that points to well-signaled, one-level-deep references (local references/ bundle files and external foundations), organized in a dedicated References section for easy navigation.

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.

The description is specific, trigger-rich, and complete, with an explicit "Use when..." clause and concrete actions. It clearly distinguishes itself from sibling skills and over-claims nothing.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Choose, lay out, critique, and explain data visualizations" and "generate and show both large-screen and mobile portrait image concepts" — rather than vague language.

3 / 3

Completeness

Explicitly answers both what (choose/lay out/critique/explain) and when with a clear "Use when the user asks..." clause and multiple explicit triggers.

3 / 3

Trigger Term Quality

Strong coverage of natural phrasing users would say: "what visualization fits a dataset", "visual page design", "layout mockup", "critique of an existing visualization", and "scrollytelling or parallax".

3 / 3

Distinctiveness Conflict Risk

Occupies a clear visualization-strategy niche with distinct triggers and explicitly delegates Gantt, UML, and scrollytelling to sibling skills, making conflict unlikely.

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

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.