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canvas-design

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.

93

1.75x
Quality

39%

Does it follow best practices?

Impact

98%

1.75x

Average score across 10 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./docs/v19.7/configuration/agent/skills_external/antigravity-awesome-skills-main/skills/canvas-design/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

12%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill reads more like an artistic manifesto than actionable technical guidance. It is extremely verbose and repetitive, particularly around the theme of craftsmanship and visual expression, while providing zero concrete technical instructions for how Claude should actually generate PDF or PNG files. The workflow has a reasonable high-level structure but lacks any validation steps or executable specifics.

Suggestions

Add concrete, executable code examples showing how to generate PDF/PNG output (e.g., using reportlab, Pillow, or cairo), including font loading from `./canvas-fonts`.

Eliminate redundant repetitions of the same concepts (craftsmanship emphasis appears 6+ times, minimal text principle appears 5+ times) — state each principle once clearly.

Add validation checkpoints to the workflow, such as verifying the output file renders correctly, checking that elements don't overlap, and confirming fonts loaded successfully.

Split the philosophy examples and detailed guidelines into a separate reference file, keeping SKILL.md as a concise overview with clear pointers to supporting documents.

DimensionReasoningScore

Conciseness

Extremely verbose and repetitive. The instruction to emphasize 'expert craftsmanship' is itself repeated at least 6 times across the document. Concepts like 'minimal text,' 'visual expression,' and 'spatial communication' are restated in nearly every section. The document is ~200+ lines when the core actionable content could be conveyed in under 50. Much of the content reads as motivational prose rather than instruction.

1 / 3

Actionability

Despite its length, the skill provides no concrete code, commands, or executable examples for actually generating PDF or PNG files. It never specifies which tools or libraries to use for canvas creation, how to render shapes/patterns programmatically, or how to embed fonts. The guidance is almost entirely abstract and philosophical rather than technically actionable.

1 / 3

Workflow Clarity

There is a discernible multi-step sequence (create philosophy .md → deduce reference → create canvas → refine), and the steps are labeled. However, there are no validation checkpoints, no error recovery steps, and the 'refinement' step is vague ('go back to the code' without specifying what code). The workflow for the actual technical creation of PDF/PNG files is entirely missing.

2 / 3

Progressive Disclosure

The entire skill is a monolithic wall of text with no references to external files (despite mentioning a `./canvas-fonts` directory). All content—philosophy examples, creation guidelines, refinement instructions, multi-page options—is inlined in a single document with no clear navigation structure or separation of concerns.

1 / 3

Total

5

/

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 adequately communicates both what the skill does and when to use it, which is its strongest aspect. However, it relies on somewhat vague language ('beautiful visual art', 'design philosophy') rather than listing concrete capabilities, and its trigger term coverage could be broader to capture more user phrasings. The copyright disclaimer, while responsible, doesn't aid in skill selection.

Suggestions

List more specific concrete actions such as 'create posters, illustrations, infographics, banners, and abstract art' to improve specificity and trigger term coverage.

Expand trigger terms to include common user phrasings like 'illustration', 'graphic', 'infographic', 'flyer', 'banner', 'wall art', or 'visual artwork'.

Replace vague phrases like 'design philosophy' and 'beautiful visual art' with concrete descriptions of what the skill actually produces or the techniques it uses.

DimensionReasoningScore

Specificity

Names the domain (visual art, design) and some actions (create poster, piece of art, design), but 'beautiful visual art' and 'design philosophy' are vague. It doesn't list multiple concrete specific actions like layout techniques, color palettes, typography, etc.

2 / 3

Completeness

Clearly answers both 'what' (create visual art in .png and .pdf documents) and 'when' ('when the user asks to create a poster, piece of art, design, or other static piece'). The explicit 'Use when' equivalent clause is present.

3 / 3

Trigger Term Quality

Includes some natural trigger terms like 'poster', 'piece of art', 'design', '.png', '.pdf', and 'static piece', but misses common variations users might say such as 'illustration', 'graphic', 'infographic', 'flyer', 'banner', 'visual', or 'artwork'.

2 / 3

Distinctiveness Conflict Risk

Somewhat specific to visual art/design creation, but 'design' is broad and could overlap with UI design, web design, or presentation skills. The '.png and .pdf' output formats and 'static piece' help narrow it, but 'design philosophy' is vague and could cause confusion.

2 / 3

Total

9

/

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
duclm1x1/Dive-Ai
Reviewed

Table of Contents

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