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favicon-generator

Generate flat favicons from image prompts, then key out a magenta background and build PNG/ICO/WebP outputs with ImageMagick. Use when you need a reliable favicon workflow.

91

3.57x
Quality

86%

Does it follow best practices?

Impact

100%

3.57x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Discovery

85%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a solid description with strong specificity and a clear niche. It describes a concrete multi-step workflow (generate, key out background, build outputs) and includes an explicit 'Use when' clause. The main weakness is that trigger terms could better cover natural user language variations for favicon-related requests.

Suggestions

Add more natural trigger terms users might say, such as 'website icon', 'browser tab icon', '.ico file', or 'site icon' to improve discoverability.

Expand the 'Use when' clause with more specific trigger scenarios, e.g., 'Use when the user asks to create a favicon, website icon, or needs to convert images to ICO/PNG/WebP favicon formats.'

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: generate flat favicons from image prompts, key out magenta background, build PNG/ICO/WebP outputs with ImageMagick. These are detailed, actionable capabilities.

3 / 3

Completeness

Clearly answers 'what' (generate favicons, key out background, build multi-format outputs) and 'when' ('Use when you need a reliable favicon workflow'). The 'when' clause is present and explicit, though it could be more detailed with additional trigger scenarios.

3 / 3

Trigger Term Quality

Includes some relevant keywords like 'favicon', 'PNG', 'ICO', 'WebP', 'ImageMagick', but misses common user variations like 'website icon', 'browser icon', 'tab icon', '.ico file', or 'site icon'. The phrase 'image prompts' is somewhat ambiguous.

2 / 3

Distinctiveness Conflict Risk

Highly distinctive niche combining favicon generation, magenta background keying, and specific output formats via ImageMagick. Very unlikely to conflict with other skills due to the specific pipeline described.

3 / 3

Total

11

/

12

Passed

Implementation

87%

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

This is a well-crafted skill with excellent actionability and conciseness. It provides a complete, end-to-end favicon workflow with concrete commands, HTML snippets, and useful troubleshooting tips. The main weakness is the lack of explicit validation steps between the conversion and HTML integration phases, particularly given that magenta keying can fail (as acknowledged in the pitfalls section).

Suggestions

Add a validation step after running faviconize.sh, e.g., 'Verify the transparent PNG has no magenta remnants: `magick identify -verbose <output-base>-transparent.png | grep -i magenta`' or a visual check instruction.

Consider adding a quick verification command to confirm all expected output files were generated before proceeding to HTML integration.

DimensionReasoningScore

Conciseness

The content is lean and efficient. Every section serves a purpose—prereqs, prompt template, generation, conversion, HTML integration, and pitfalls. No unnecessary explanations of what favicons are or how ImageMagick works. The only minor verbosity is listing three agent paths, but that's practical guidance.

3 / 3

Actionability

Provides concrete, copy-paste-ready commands for generation and conversion, exact HTML snippets for integration, a complete webmanifest JSON, and specific environment variable overrides for tuning. The prompt template is fully specified with concrete values.

3 / 3

Workflow Clarity

The multi-step workflow (generate → convert → integrate HTML) is clearly sequenced, but there are no explicit validation checkpoints. After running faviconize.sh there's no step to verify the magenta was properly keyed out or that outputs are correct before updating HTML. For a workflow involving image manipulation and potential magenta bleeding (acknowledged in pitfalls), a validation step would be important.

2 / 3

Progressive Disclosure

Content is well-structured with clear sections progressing from prereqs through generation, conversion, HTML integration, and troubleshooting. References to external skills (Nano Banana Pro) and scripts (faviconize.sh) are one level deep and clearly signaled. The skill is appropriately sized for inline content without needing separate files.

3 / 3

Total

11

/

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
Dicklesworthstone/pi_agent_rust
Reviewed

Table of Contents

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