Agent skill · Design & Presentation

image-anton-abyzov-specweave

Generate AI images from text prompts. Supports Google Gemini (free) and Pollinations.ai (free). Use when generating images, creating visuals, AI art, text-to-image, image generation, create picture, make illustration, generate photo.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill image-anton-abyzov-specweave --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Allowed tools: ReadBashGlob
Path: skills/ai-ml/image-anton-abyzov-specweave/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Image Generation Skill Generate images from text prompts using AI models. Uses a 3-tier fallback chain to maximize reliability. ## Provider Fallback Chain (Follow This Order) ``` Tier 1: Gemini Native (FREE) ─── gemini-2.5-flash-image ──┐ ↓ on error │ gemini-3-pro-image-preview ────────────────────────┤ ↓ on error │ Tier 2: Pollinations.ai (FREE, no key) ───────────────────┤ ↓ on error │ Tier 3: Imagen 4 (PAID, billing required) ────────────────┘ ``` **Key**: Gemini native models generate images via the same `generateContent` API used for text - they're FREE with a daily quota. Imagen 4 uses a separate paid `:predict` endpoint. ## Workflow ### Step 1: Parse User Request Extract from the user's prompt: - **Subject**: What to generate (e.g., "a sunset over mountains") - **Style**: Photorealistic, illustration, painting, etc. (default: photorealistic) - **Output path**: Where to save (default: `./generated-media/`) - **Count**: How many images (default: 1) ### Step 2: Prepare Output Directory ```bash mkdir -p ./generated-media ``` ### Step 3: Load API Key from .env ```bash # Source .env if it exists (for GEMINI_API_KEY) if [ -f .env ]; then export $(grep -E '^GEMINI_API_KEY=' .env |

What's inside
Steps it walks through
  1. Provider Fallback Chain (Follow This Order)
  2. Workflow
  3. Step 1: Parse User Request
  4. Step 2: Prepare Output Directory
  5. Step 3: Load API Key from .env
  6. Step 4: Generate Image (Fallback Chain)
  7. Step 5: Verify Output
  8. Step 6: Report Result
  9. Error Handling
  10. Setup Instructions (Show When No API Key Found)
  11. Activation Keywords
Ships with 1 file
  • metadata.json
Commands it runs
mkdir -p ./generated-media
Source .env if it exists (for GEMINI_API_KEY)
if [ -f .env ]; then
export $(grep -E '^GEMINI_API_KEY=' .env | xargs)
fi
Also check parent dirs (monorepo support)
if [ -z "$GEMINI_API_KEY" ] && [ -f ../.env ]; then
export $(grep -E '^GEMINI_API_KEY=' ../.env | xargs)
if [ -n "$GEMINI_API_KEY" ]; then
for MODEL in "gemini-2.5-flash-image" "gemini-3-pro-image-preview"; do
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About this skill
What does the image-anton-abyzov-specweave skill do?

Generate AI images from text prompts. Supports Google Gemini (free) and Pollinations.ai (free). Use when generating images, creating visuals, AI art, text-to-image, image generation, create picture, make illustration, generate photo.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill image-anton-abyzov-specweave --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going