CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

infographics

Creates and reviews infographics with Nano Banana 2 via OpenRouter. Use for statistical summaries, timelines, comparisons, processes, and visual explanations with supplied data or optional Sonar research. Supports ten layouts, eight style presets, reference images, and accessible palette starting points.

65

Quality

82%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

73%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 a well-structured, highly actionable guide with an exemplary iterative workflow (explicit validation thresholds, feedback loop, and checklists) and genuine progressive disclosure to real reference files. Its weaknesses are padding that assumes too little of Claude and unspecified output-artifact paths (review log, versioned PNG naming).

Suggestions

Trim known-to-Claude padding: the opening definition of what an infographic is, the 'Smart Iteration Benefits' checkmark bullets, the closing motivational sentence, and the 'Integration with Other Skills' section.

Reduce the three near-identical '--research' CLI examples to one; the flag usage is identical and only '--type' differs.

Specify output artifact names concretely in the body: the review log's file path and the versioned PNG naming scheme, alongside the existing '{name}_research.json' convention.

DimensionReasoningScore

Conciseness

The body is mostly operational guidance, but it includes unnecessary padding: the opening definition ('Infographics are visual representations of information, data, or knowledge...') that Claude already knows, the 'Smart Iteration Benefits' checkmark marketing bullets, three near-identical --research CLI examples that differ only in --type, a motivational closing line, and a marginal 'Integration with Other Skills' section. This fits anchor 3 ('mostly efficient but includes some unnecessary explanation or could be tightened') better than anchor 2, since the bulk is dense and non-redundant.

3 / 5

Actionability

The CLI examples are fully executable copy-paste commands covering the common cases (types, styles, palettes, research, doc-type thresholds), and troubleshooting is framed as concrete problem/solution pairs. It falls short of anchor 5 because key output artifacts are only vaguely specified: the review log's file path is never given ('Check the review log for scores', 'Inspect the critique') and the versioned PNG naming scheme is not shown, whereas '{name}_research.json' is.

4 / 5

Workflow Clarity

The generate-review-refine loop is explicitly sequenced (numbered 'What happens behind the scenes' steps with stop conditions), validation is built in via Gemini review against per-document-type thresholds, a feedback loop exists ('Retain content and source context, refine the prompt, regenerate'), failure handling is specified ('stop on API failure and keep the latest saved draft'), and before/after checklists are provided. This matches anchor 5 exactly.

5 / 5

Progressive Disclosure

Detailed material is pushed one level deep into real, existing reference files (infographic_type_catalog.md, infographic_types.md, iterative_refinement.md, design_principles.md, color_palettes.md), all cited with clear signals. It falls short of anchor 5 due to minor organization gaps: two overlapping references (infographic_type_catalog.md and infographic_types.md) are cited for the same type information, and the API/model contract section carries endpoint-level detail inline rather than in a reference.

4 / 5

Total

16

/

20

Passed

Description

83%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.

A strong description: third-person, concise, explicit 'Use for...' triggers, and concrete capability enumeration. Its only weaknesses are slightly limited action verbs (create/review) and a few missing natural trigger synonyms.

DimensionReasoningScore

Specificity

The description states concrete actions ('Creates and reviews infographics with Nano Banana 2 via OpenRouter') and enumerates concrete outputs and features ('statistical summaries, timelines, comparisons, processes', 'ten layouts, eight style presets, reference images, and accessible palette starting points'). It lists several specific capabilities with only minor gaps, fitting anchor 4 rather than 5 because the core actions are limited to create/review with the rest being feature enumeration.

4 / 5

Completeness

It explicitly answers both questions: what ('Creates and reviews infographics with Nano Banana 2 via OpenRouter') and when ('Use for statistical summaries, timelines, comparisons, processes, and visual explanations with supplied data or optional Sonar research') with concrete trigger phrases. This matches anchor 5 exactly; anchor 4 would require the 'when' clause to be less explicit than the direct 'Use for...' list given here.

5 / 5

Trigger Term Quality

'infographics', 'statistical summaries', 'timelines', 'comparisons', 'processes', and 'visual explanations' are phrases users would naturally say when they need this skill. Coverage is good but a few common variations are missing (e.g. 'chart', 'diagram', 'poster', 'data visualization'), so it fits anchor 4 rather than anchor 5's comprehensive synonym coverage.

4 / 5

Distinctiveness Conflict Risk

'Infographics' names a clear niche with its own distinct trigger vocabulary, so it is mostly distinguishable. However, triggers like 'statistical summaries' and 'visual explanations' have minor overlap risk with general charting/dataviz skills, fitting anchor 4 ('mostly distinct; minor overlap risk') rather than anchor 5's minimal conflict risk.

4 / 5

Total

17

/

20

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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

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.