infographics

Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.

Quality

68%

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Securityby

Low

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

Quality

Content

77%

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 executable commands and a clearly sequenced, validated workflow, but it is padded with repeated commands and inline type/style/palette detail that duplicates the bundled reference files, hurting conciseness and progressive disclosure.

Suggestions

Replace the ~15 full command repetitions with the flags documented once in the CLI reference, showing only the varying example prompts.

Move the per-type, per-style, and per-palette detail out of the body and into the existing references, keeping the SKILL.md as a concise overview that links to them.

Remove the 'Infographics are visual representations...' definition and consolidate the three explanations of the generate-review-decide workflow into one canonical description.

Dimension	Reasoning	Score
Conciseness	The 557-line body repeats the full generate_infographic.py command ~15 times, explains the generate-review-decide workflow three separate times (Overview, Quick Start, Smart Iterative Refinement), and defines what infographics are — a concept Claude already knows — so it is mostly useful but could be tightened considerably, fitting the score-2 anchor rather than the lean score-3.	2 / 3
Actionability	Provides many concrete, copy-paste-ready commands with real example prompts, a complete CLI reference, and specific flag documentation, matching the 'fully executable commands; copy-paste ready' anchor.	3 / 3
Workflow Clarity	The generate→review→threshold-decision→improve-and-regenerate sequence is explicit, with a validation/feedback loop (Gemini review against a threshold), an ASCII flow diagram, and a checklist, matching the 'clear sequence with explicit validation steps and feedback loops' anchor.	3 / 3
Progressive Disclosure	A well-signaled 'Reference Files' section points one level deep to three real reference files, but the 10 infographic types, 8 industry styles, and 3 palettes are detailed inline in the body despite references/infographic_types.md and references/color_palettes.md covering the same ground, fitting the 'content that should be separate is inline' anchor.	2 / 3
	Total	10 / 12 Passed

Description

60%

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 clearly conveys what the skill does with concrete capabilities, but it lacks any 'Use when...' trigger guidance and leans on tool/product names rather than natural user terms, capping completeness and trigger-term quality at 2.

Suggestions

Add an explicit trigger clause, e.g. 'Use when creating infographics, data visualizations, or visual summaries of statistics, timelines, or comparisons.'

Replace or supplement product names (Nano Banana Pro, Gemini 3 Pro) with natural user terms like 'infographic', 'data visualization', 'chart', and 'visual summary' to improve trigger-term coverage.

Add a brief boundary note distinguishing this from general image generation (e.g. 'For technical diagrams use scientific-schematics instead').

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'Create professional infographics', 'smart iterative refinement', 'quality review', 'Integrates research-lookup and web search', and support for 10 types/8 styles — matching the 'lists multiple specific concrete actions' anchor rather than the partial-coverage score 2.	3 / 3
Completeness	The 'what' is clearly stated (create infographics, refinement, review, research, supported types/styles), but there is no 'Use when...' clause or equivalent explicit trigger guidance, which per the judging guidelines caps completeness at 2.	2 / 3
Trigger Term Quality	The natural term 'infographics' appears, but the description is dominated by product/tool names ('Nano Banana Pro AI', 'Gemini 3 Pro', 'research-lookup') users would not naturally say, and it omits common variations like 'data visualization', 'charts', or 'poster', fitting the 'some relevant keywords but missing common variations' anchor.	2 / 3
Distinctiveness Conflict Risk	'Infographics' is a recognizable niche, but the description provides no explicit triggers to disambiguate from adjacent image-generation skills (the body itself lists generate-image and scientific-schematics as overlapping), fitting the 'somewhat specific but could still overlap' anchor.	2 / 3
	Total	9 / 12 Passed

Validation

81%

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 — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (566 lines); consider splitting into references/ and linking	Warning
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	13 / 16 Passed

Repository: K-Dense-AI/claude-scientific-writer
Path: .claude/skills/infographics/SKILL.md
Commit: 4717803

Reviewed: about 9 hours ago

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