Install
$ agentstack add skill-orkas-ai-orkas-awesome-agentskills-image-design ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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
- 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.
- Convert the request into a creative brief:
- purpose, target viewer, subject, visual hierarchy, mood, style, composition, color, lighting, materials, and constraints.
- 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.
- Route to an executable provider only when available:
- built-in image generation/editing tool when available in the current session.
dreaminafor Jimeng/Dreamina image or video generation through an already logged-in CLI.nano-bananafor Gemini / Imagen-style generation or editing when credentials and upload consent are available.comfyuionly after its local install/model/workflow safety has been reviewed.
- Write structured prompts:
- SUBJECT, CONTEXT, COMPOSITION, STYLE, LIGHTING, TEXT, TECHNICAL, CONSTRAINTS.
- Keep text inside generated images short. For long text, recommend post-production layout.
- 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.
- 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.
- 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.
- Author: Orkas-AI
- Source: Orkas-AI/Orkas-Awesome-AgentSkills
- License: MIT
- Homepage: https://orkas.ai
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.