infographics

Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3.6 Flash for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.

Quality

72%

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Securityby

Low

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tessl review fix ./skills/infographics/SKILL.md

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.

The body is highly actionable with excellent progressive disclosure and a clear iterative workflow, but it carries some padded marketing and checklist content that could be trimmed for token efficiency.

Suggestions

Trim the 'Smart Iteration Benefits' checkmark list and the restated quality-threshold table, which restate information already conveyed elsewhere.

Consider condensing the 'Quick Reference Checklist' since the preceding Quick Start already captures the essential pre/post generation steps.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with tables and copy-paste commands, but padded marketing-style sections ('Smart Iteration Benefits' checkmarks, a restated quality-threshold table, and a checklist) add tokens that assume little of Claude's intelligence.	3 / 5
Actionability	Provides fully executable, copy-paste-ready bash commands covering the common cases (type, style, palette, research flags) and links to real reference files for deeper guidance.	5 / 5
Workflow Clarity	Sequences the generate-review-refine loop with an explicit threshold-based early-stop checkpoint, though the full validation/error-recovery detail is delegated to a reference rather than presented inline.	4 / 5
Progressive Disclosure	Clear overview with well-signaled, one-level-deep references to real files (infographic_type_catalog.md, infographic_types.md, iterative_refinement.md, design_principles.md, color_palettes.md), with content appropriately split and easy to navigate.	5 / 5
	Total	17 / 20 Passed

Description

66%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.

The description is specific and covers capabilities well with concrete feature counts, but it omits an explicit 'when to use' trigger clause, which caps completeness. Trigger term coverage is good but missing common synonyms.

Suggestions

Add an explicit 'Use when...' clause naming natural trigger phrases (e.g., 'Use when visualizing data, presenting statistics, or creating charts and data graphics').

Include common synonyms users would say such as 'data visualization', 'charts', and 'visualize data' alongside 'infographics'.

Dimension	Reasoning	Score
Specificity	Names the domain and several concrete actions ('Create professional infographics', 'quality review', 'research-lookup and web search for accurate data') plus concrete feature counts (10 types, 8 styles, colorblind-safe palettes), with only minor coverage gaps.	4 / 5
Completeness	Clearly states what the skill does but lacks any explicit 'Use when...' trigger clause; per the judging guidelines, a missing explicit trigger guidance caps completeness at 3.	3 / 5
Trigger Term Quality	Includes natural terms ('infographics', 'research', 'web search', 'colorblind-safe palettes') but omits common variations a user might say ('data visualization', 'charts', 'visualize data').	4 / 5
Distinctiveness Conflict Risk	Targets a clear niche (infographics via Nano Banana Pro AI with quality review) with distinct triggers, carrying only minor overlap risk with general image-generation skills.	4 / 5
	Total	15 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_field	'metadata' should map string keys to string values	Warning

	Total	15 / 16 Passed

Repository: K-Dense-AI/scientific-agent-skills
Path: skills/infographics/SKILL.md
Commit: 1e5eeff

Reviewed: 3 days ago

Table of Contents

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