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SKILL verified MIT Self-run

Image Design

skill-orkas-ai-orkas-awesome-agentskills-image-design · by Orkas-AI

A Claude skill from Orkas-AI/Orkas-Awesome-AgentSkills.

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Install

$ agentstack add skill-orkas-ai-orkas-awesome-agentskills-image-design

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

Image Design

When to Use

Use this skill when the user wants to create or edit visual assets and needs a clear plan before execution:

  • Posters, covers, banners, avatars, product images, social cards, icons, visual concepts, or image series.
  • Prompt writing, style exploration, aspect-ratio selection, composition planning, and visual acceptance criteria.
  • Model or tool selection across built-in image tools, Dreamina, Nano Banana / Gemini, ComfyUI, or other providers.
  • Reference-image planning for style transfer, character consistency, product consistency, multi-image fusion, or series generation.
  • Edit planning for inpainting, outpainting, background removal, restoration, relighting, upscaling, style transfer, or local post-processing.

Do not use this skill to claim that an image was actually generated or edited. If no executable image tool/provider is available, return only the brief, prompt, workflow, and acceptance checklist.

Workflow

  1. Clarify the visual job:
  • final use case, audience, platform, required format, aspect ratio, brand constraints, text needs, source/reference images, and deadline.
  • whether the user expects execution now or only a prompt/design plan.
  1. Convert the request into a creative brief:
  • purpose, target viewer, subject, visual hierarchy, mood, style, composition, color, lighting, materials, and constraints.
  1. Choose the path:
  • generate from text when the desired image does not exist yet.
  • edit from an existing image when preserving identity, product, layout, or reference detail matters.
  • use local deterministic processing for resize, crop, format conversion, compression, EXIF stripping, DPI, or watermarking.
  • use review-only when the user asks whether an existing result is good enough.
  1. Route to an executable provider only when available:
  • built-in image generation/editing tool when available in the current session.
  • dreamina for Jimeng/Dreamina image or video generation through an already logged-in CLI.
  • nano-banana for Gemini / Imagen-style generation or editing when credentials and upload consent are available.
  • comfyui only after its local install/model/workflow safety has been reviewed.
  1. Write structured prompts:
  • SUBJECT, CONTEXT, COMPOSITION, STYLE, LIGHTING, TEXT, TECHNICAL, CONSTRAINTS.
  • Keep text inside generated images short. For long text, recommend post-production layout.
  1. For reference images:
  • confirm usage rights and privacy.
  • state what each reference should preserve and what may change.
  • warn when provider reference-image count, upload policy, or consistency limits are unknown.
  1. For editing:
  • choose the edit type, identify the protected area and edit area, define mask/selection needs, and preserve the original file.
  • use non-destructive output paths and stepwise intermediate outputs for multi-step edits.
  1. End with a review plan:
  • prompt adherence, technical quality, composition, target-platform fit, text correctness, safety/copyright/privacy risks, and next iteration.

Return Format

Return a concise plan:

## Visual Task
...

## Creative Brief
- Use case:
- Audience:
- Subject:
- Style:
- Composition:
- Aspect ratio / size:
- Constraints:

## Prompt
...

## Execution Path
- Recommended tool/provider:
- Why:
- Fallback:
- Requires user confirmation:

## Acceptance Checklist
- 

## Limits
- 

If execution happened through another tool, include output paths and what was actually verified. If execution did not happen, say so explicitly.

References

  • references/model-routing.md: provider and fallback decision rules.
  • references/prompt-style-library.md: prompt structure, style patterns, and use-case templates.
  • references/reference-edit-planning.md: reference-image consistency and edit workflow patterns.

External Dependencies

  • Image generation or editing requires an available executable tool/provider. This skill alone is planning-only.
  • Provider names, model IDs, prices, and availability change over time; important production work needs current provider documentation checked before execution.
  • Reference images may be uploaded to third-party providers only after user consent.

Limits and Known Issues

  • Do not guarantee exact text rendering, logo fidelity, face identity, product geometry, or character consistency.
  • Do not bypass provider safety rules.
  • Do not use private, copyrighted, branded, or personal reference images without user authorization.
  • Do not promise commercial rights; identify licensing or review needs.

Examples

User: "帮我做一张小红书封面,主题是 AI 写作效率。"

Handling: create a 3:4 social cover brief, propose 2-3 styles, write a short-text prompt with title area and visual hierarchy, choose an available provider, and include a checklist for text readability and platform fit.

User: "按这张角色图做三张不同场景的系列图。"

Handling: identify the reference image as the character anchor, define fixed visual rules, write scene-specific prompts, warn about face drift, and require review after each generated result.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.