superimage-generator
WHAT: Transforms basic image prompts into model-optimized superprompts for AI image generation.
Skill by BluebagAI
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/bluebagai-superimage-generator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/superimage-generator
What's inside
- Skill name
superimage-generator- Description
- WHAT: Transforms basic image prompts into model-optimized superprompts for AI image generation. WHEN: generating images, creating AI art, enhancing image prompts, working with Flux, Flux Kontext Max, Nano Banana, Midjourney, Ideogram, Recraft, Luma, Reve, Grok, GPT Image 1.5, or Seedream 4.5. KEYWORDS: superprompt, image prompt, generate image, AI art, enhance prompt, optimize prompt, photorealistic, portrait, product, selfie, photography, image generation.
- License
- Apache-2.0
- Instructions
- 573 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- body: 573 lines (spec recommends under 500)
- files: referenced but missing: examples/nano-banana-mirror-selfie.json, examples/lifestyle-selfie.json, examples/backyard-bikini.json, examples/bedroom-prone-selfie.json
Files (72)
- SKILL.md
- INDEX.md · examples/
- asian-bar-candid-dreamy.json · examples/
- backyard-lounger.json · examples/
- balcony-flash-selfie.json · examples/
- beach-cabana-turquoise-bikini.json · examples/
- bedroom-floral-sleepwear.json · examples/
- black-athleisure-thumbs-up.json · examples/
- brand-concept-object-editorial-template.json · examples/
- brand-social-collage-campaign-template.json · examples/
- bw-window-portrait.json · examples/
- cafe-sideways-selfie-thigh.json · examples/
- car-rainy-night.json · examples/
- champagne-lace-elevator-selfie.json · examples/
- coquette-bedroom.json · examples/
- editorial-portrait.json · examples/
- elevator-mirror-selfie.json · examples/
- fashion-editorial-split-catalog.json · examples/
- fashion-studio-collage.json · examples/
- gym-bench-vtaper.json · examples/
- hawaiian-tropic-loungewear.json · examples/
- heart-pendant-hallway-selfie.json · examples/
- helicopter-coastline-portrait.json · examples/
- hotel-bathroom-couple.json · examples/
- iris-necklace-portrait.json · examples/
- ivory-nightdress-flash-pov.json · examples/
- jet-ski-lookback.json · examples/
- kitchen-candid.json · examples/
- lightning-mcqueen-bathroom-selfie.json · examples/
- low-angle-lace-bedroom-portrait.json · examples/
- macbook-screen-nested.json · examples/
- mermaid-gown-editorial.json · examples/
- mirror-halter-denim-side-profile.json · examples/
- monaco-rooftop.json · examples/
- morning-bed-selfie-oversized-tee.json · examples/
- navi-beach-night-flash.json · examples/
- outdoor-cafe-athletic-collage.json · examples/
- pool-night-lounging.json · examples/
- poolside-lip-gloss.json · examples/
- product-serum-mirror-slab.json · examples/
- red-hair-corset-editorial.json · examples/
- reference-image-gym.json · examples/
- seaside-terrace.json · examples/
- snow-forest-playful.json · examples/
- spongebob-shorts-bathroom-mirror.json · examples/
- streetwear-editorial-collage.json · examples/
- striped-shirt-ponytail-mirror-selfie.json · examples/
- tropical-beach-selfie.json · examples/
- venetian-blinds-athletic.json · examples/
- vintage-corvette.json · examples/
- white-backless-dress-hallway.json · examples/
- white-bikini-mediterranean-terrace.json · examples/
- wink-tongue-out-black-dress-studio.json · examples/
- workout-shorts-mirror.json · examples/
- xbox-green-bikini-bedroom-selfie.json · examples/
- black-forest-labs.md · models/
- flux-kontext-max.md · models/
- flux.md · models/
- gpt-image-1.5.md · models/
- grok-imagine.md · models/
- …and 12 more
SKILL.md (first lines)
# Superprompt Generator Transform basic prompts into professional-grade superprompts optimized for specific AI image models. **Terminology:** - **prompt** = user's basic input (e.g., "a woman taking a selfie") - **superprompt** = the enhanced, structured output with detailed specifications ## ⚠️ MANDATORY WORKFLOW - DO NOT SKIP ANY STEPS This skill has a **sequential, dependency-based workflow**. Each step builds on the previous one. **Skipping steps produces inferior results and failed generations.** ### Critical Enforcement Rules: - [ ] **Step 1 MUST complete before Step 2** — No model selection without intent clarification - [ ] **Step 3 MUST check `examples/INDEX.md` before generating** — Read the index, follow its instructions. Do NOT read more than 2 example files. - [ ] **Step 4 VALIDATION is mandatory — no exceptions** — Run validation script before proceeding - [ ] **Do NOT flatten (Step 5) until validation returns `✓ VALID`** — Invalid prompts fail on models - [ ] **Always show user the validation report** — They need to see quality scores and any warnings **If you are tempted to skip steps: DON'T. The workflow exists for a reason.** ## Contents - [Quick Start](#quick-start) - [Workflow Selection](#workflow-selection) - [Workflow](#workflow) - [Reference Image Workflow](#reference-image-workflow) - [Superprompt Playbook](#superprompt-playbook) (see also [playbook.md](playbook.md)) - [Examples](#examples) - [Model Templates](#model-templates) - [Validation Scripts](#validation-scripts) - [Aspect Ratio Reference](#aspect-ratio-reference) ## Quick Start > [! IMPORTANT] > Do not act after reading the quick start section alone. Make sure to read [Workflow Selection](#workflow-selection) before commiting to generating an output. **Input:** `"a woman taking a selfie"` **Output:** Structured superprompt with `subject`, `wardrobe`, `pose`, `scene`, `lighting`, `camera` blocks containing anatomical precision, fabric details, camera technicals, and negative constraints. **With Reference Image:** `"gym selfie" + [uploaded face reference]` → See [Reference Image Workflow](#reference-image-workflow) below. ## Workflow Selection **Does the user provide a reference image for face/identity preservation?** - **YES** → Follow [Reference Image Workflow](#reference-image-workflow) - **NO** → Follow [Standard Workflow](#workflow) below --- ## Workflow Copy this checklist and track progress — **each step is mandatory**:: ``` Superprompt Generation (SEQUENTIAL): - [ ] Step 1: Clarify user intent ← START HERE - [ ] Step 2: Select target model ← DEPENDS ON STEP 1 - [ ] Step 3: Generate structured superprompt ← DEPENDS ON STEP 2 - [ ] Step 4: Validate with script ← MANDATORY, NON-OPTIONAL - [ ] Step 5: Flatten for model format ← ONLY AFTER VALIDATION PASSES - [ ] Step 6: Return to user ← FINAL STEP ``` ### Step 1: Clarify Intent **DO NOT skip this step. If unsure about intent, ask the user:** - Main subject? (person, product, landscape, architecture, food, animal) - Style? (photorealistic, artistic, illustration) - Aspect ratio preference? (9:16 mobile, 16:9 landscape, 1:1 square) - Any other specific mood or setting? **Document their answers. You need these for Step 2.** ### Step 2: Select Model **Model selection depends on Step 1 answers. Use the table below:** **Defaults by subject type:** - **Person/human subject** → `nano-banana` (anatomical precision, complex poses) - **Product/object/landscape** → `flux` (general photorealism) When to use a different model: - Need text rendering? → `ideogram` or `gpt-image-1.5` - Need face/identity preservation? → `flux-kontext-max` - Need artistic/aesthetic style? → `midjourney` - Need video/motion? → `luma` - Need iterative editing? → `gpt-image-1.5` | Model | Best For | Template | | ------------------ | -------------------------------------------------- | -------------------------------------------------------- | | `nano-banana` | **Default (people)** - Anatomical precision, poses | [models/nano-banana.md](models/nano-banana.md) | | `flux` | **Default (non-people)** - General photorealism | [models/flux.md](models/flux.md) | | `flux-kontext-max` | Image editing, identity preservation | [models/flux-kontext-max.md](models/flux-kontext-max.md) | | `gpt-image-1.5` | Reasoning-based, UI mockups, logos | [models/gpt-image-1.5.md](models/gpt-image-1.5.md) | | `seedream-4.5` | Natural language, text in images, 4K | [models/seedream-4.5.md](models/seedream-4.5.md) | | `midjourney` | Aesthetic quality, artistic | [models/midjourney.md](models/midjourney.md) | | `ideogram` | Typography, logos | [models/ideogram.md](models/ideogram.md) | | `recraft` | Illustrations, vectors | [models/recraft.md](models/recraft.md) | | `luma` | Video, 3D, motion | [models/luma.md](models/luma.md) | | `reve` | Artistic styles | [models/reve.md](models/reve.md) | | `grok-imagine` | Quick iterations | [models/grok-imagine.md](models/grok-imagine.md) | **If uncertain which model to use:** Ask the user about subject type (person vs. object/scene) and desired style, then apply the defaults above. ### Step 3: Generate Superprompt **Before generating:** 1. Open `examples/INDEX.md`
From BluebagAI/skills, Apache-2.0.
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Signals
- Stars
- 33
- Forks
- 3
- Open issues
- 0
- Last commit (this folder)
- Feb 12, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/BluebagAI/skills
- Website
- www.bluebag.ai/playground
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
superimage-generator skill. Agent Mart. https://agentmart.dev/skills/bluebagai-superimage-generator (last updated 2026-10-24)