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Skillzwave

image-gen

1 stars 1 forks
86
B

Generate compelling cover images and in-article illustrations for technical articles using the imagen CLI tool. Use when asked to "generate images", "create cover image", "make article illustrations", "create visual assets", or "add images to article". Handles both high-impact conceptual cover images and technical diagrams/illustrations for specific concepts. Includes prompt engineering best practices and SEO-friendly image integration.

#images#cover image#image#prompt engineering#in-article#article#ALT Text#Generate
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Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install SpillwaveSolutions/image_gen/image-gen
skilz install SpillwaveSolutions/image_gen/image-gen --agent opencode
skilz install SpillwaveSolutions/image_gen/image-gen --agent codex
skilz install SpillwaveSolutions/image_gen/image-gen --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/SpillwaveSolutions/image_gen
2. Copy the agent skill directory:
cp -r image_gen ~/.claude/skills/
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Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner
SpillwaveSolutions (GitHub)
Repository
image_gen
Stars
1
Forks
1
Type
Technical
Meta-Domain
media
Primary Domain
image
Market Score
86
Agentic Skill Grades →

Agent Skill Grade

B
Score: 86/100 Click to see breakdown

Score Breakdown

Spec Compliance
13/15
PDA Architecture
22/30
Ease of Use
22/25
Writing Style
8/10
Utility
17/20
Modifiers: +4

Areas to Improve

  • Reference file too thin
  • Missing error handling workflow
  • Occasional second-person voice

Recommendations

  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-19

Developer Feedback

I took a look at your image_gen skill and wanted to share some thoughts.

Links:

TL;DR

You're at 86/100, solid B-grade territory. This is based on Anthropic's skill best practices rubric. Your strongest area is Ease of Use (22/25) — the workflow is crystal clear and your metadata triggers are spot-on. Weakest area is Progressive Disclosure (22/30) — you've got some redundancy between your main file and references that's eating up points.

What's Working Well

  • Metadata is locked in. Your trigger phrases ('generate images', 'create cover image', 'make article illustrations') are specific and discoverable. This is why the Ease of Use score is solid.
  • The 5-step workflow hits. Numbered steps with explicit outputs and checklists make it genuinely usable. Someone can follow this without guessing.
  • Good examples throughout. You've got concrete cover vs. in-article image prompts, comparison tables, and input/output patterns. That's the kind of specificity that actually helps people.
  • Consistent terminology. 'Cover image' vs. 'in-article image' distinction is maintained everywhere, which prevents confusion.

The Big One: Reference File is Too Thin

Your references/prompting_guide.md is only 80 lines but you're promising "comprehensive prompt engineering guidance" in SKILL.md. Right now it duplicates what's already in your main file (specificity, style, atmosphere, photography terms). This redundancy tanks your Progressive Disclosure score.

The fix: Either expand the reference with concrete examples of failed vs. refined prompts, troubleshooting strategies for bad generations, or negative prompt patterns — or consolidate it into SKILL.md and drop the separate reference. Right now you're splitting attention without gaining token efficiency. This alone cou...

AI-Detected Topics

Extracted using NLP analysis

images cover image image prompt engineering in-article article ALT Text Generate agentic-skill cover

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