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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.

61

Quality

72%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./bundled/skills/infographics/SKILL.md
SKILL.md
Quality
Evals
Security

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 well-sequenced, validated generation workflow, but it is verbose for a SKILL.md and keeps reference-grade detail inline instead of relying on its bundle files.

Suggestions

Move the per-type example commands, full style/palette tables, and prompt-engineering tips into the existing reference files so SKILL.md stays a lean overview.

Collapse the repeated full-path command blocks into one parameterized example plus a short flag reference to cut token cost.

Tighten or relocate the 'Quick Reference Checklist' and 'Integration with Other Skills' sections to reduce boilerplate.

DimensionReasoningScore

Conciseness

The ~557-line body is mostly efficient with concrete examples but is padded by ~12 near-identical full-path command blocks, redundant 'How it works' explanations, prompt tips, and a checklist that could move to references; it could be tightened considerably.

2 / 3

Actionability

Provides fully executable, copy-paste-ready bash commands with specific flags for every infographic type, a complete CLI reference, and a concrete JSON review-log example — matching the 'fully executable, copy-paste ready' anchor.

3 / 3

Workflow Clarity

The generate→review→decision→regenerate loop is clearly sequenced with a numbered breakdown, an ASCII flowchart, explicit threshold-based early-stop checkpoint, and a feedback loop for error recovery.

3 / 3

Progressive Disclosure

A 'Reference Files' section signals three real one-level-deep references, but the all-10-type examples and full style/palette tables are kept inline in SKILL.md rather than offloaded, leaving content that should be separate inline.

2 / 3

Total

10

/

12

Passed

Description

67%

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 distinctive, naming a concrete tool stack and quantified capabilities, but it omits an explicit 'when to use' trigger clause and relies on internal jargon rather than natural user keywords.

Suggestions

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

Replace tool-internal jargon with natural user-facing terms (e.g., add 'data visualizations', 'visual summaries', 'charts') to improve trigger-term coverage.

Trim over-claim phrasing like 'professional' and the named-model stack to keep the description concise and trigger-focused.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — 'Create professional infographics', 'smart iterative refinement', 'quality review', 'research-lookup and web search', plus quantified '10 infographic types, 8 industry styles, and colorblind-safe palettes' — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Clearly answers 'what' the skill does but never provides an explicit 'Use when...' trigger clause, which per the judging guidelines caps completeness at 2.

2 / 3

Trigger Term Quality

Includes the natural term 'infographics' but leans on internal/tool jargon ('Nano Banana Pro AI', 'Gemini 3 Pro', 'colorblind-safe palettes') and lacks common user variations; only some relevant keywords are present.

2 / 3

Distinctiveness Conflict Risk

The very specific tool stack (Nano Banana Pro generation, Gemini 3 Pro review, Perplexity research) gives it a clear niche unlikely to trigger for the wrong skill.

3 / 3

Total

10

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (564 lines); consider splitting into references/ and linking

Warning

Total

15

/

16

Passed

Repository
foryourhealth111-pixel/Vibe-Skills
Reviewed

Table of Contents

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