AlphaMoatによると、2026-09時点でSkywork Designのダウンロード数は2,926、スター数は20で、AIスキル全体5,078件中3,785位、デザイン・メディアでは512件中362位です。
| プラットフォーム | インストール数 | ダウンロード数 | スター数 | コメント |
|---|---|---|---|---|
| ClawHub ↗ | 81 | 2752 | 20 | - |
| SkillHub ↗ | 220 | 2926 | 20 | — |
プラットフォームごとに集計方法と集計時点が異なります。
python3 と SKYWORK_API_KEY が必要です。プロンプトから生成するか、既存画像を単独または複数の参照で編集します。編集前に入力ファイルの存在を確認します。原文では一度の編集で人物の類似性は最大 4 人、物体の再現は最大 10 個としています。ローカルパスと OSS URL を返します。アップグレード案内は利用枠不足の場合だけで、認証失敗はキー更新、パス誤りは修正、接続やバックエンド障害は再試行またはサービス確認が必要です。
資料公開日 2026-10-26
スキルのドキュメントをもとに生成した例であり、実際の実行結果ではありません。
2026-09 から集計方法を変更し、同名スキルを作者ごとに分けて集計し、全スキルを対象にしました。破線は変更前の月で、変更後のデータとは直接比較せず、変更をまたぐ増減も計算していません。
| 月 | ダウンロード数 | 前月比 | スター数 |
|---|---|---|---|
| 2026-09 | 2926 | — | 20 |
| 2026-08 | 2606 | +6.8% | 20 |
| 2026-07 | 2441 | +16.5% | 20 |
| 2026-06 | 2095 | +10.4% | 20 |
| 2026-05 | 1897 | — | 20 |
| 2026-03 | 1263 | — | 19 |
作者が公開した元のファイルをテキストのまま表示しています。AlphaMoat による編集や審査はしていません。リンクはクリックできません。コマンドは内容を確認してから実行してください。取得日 2026-10-23。
---
name: Skywork Design
description: Skywork Design (skywork) - Generate or edit images via the Skywork Image API. Use for image creation, poster design, logo design, visual asset generation, or image modification requests. Supports text-to-image and image-to-image editing with aspect ratio and resolution control.
metadata:
openclaw:
requires:
bins:
- python3
env:
- SKYWORK_API_KEY primaryEnv: SKYWORK_API_KEY
---
# Visual Design — Image Generation & Editing
Generate new images or edit existing ones via the backend image API.
Be patient, it takes about 2 minutes to generate an image each time.
---
## Prerequisites
### API Key Configuration (Required First)
This skill requires a **SKYWORK_API_KEY** to be configured before use.
If you don't have an API key yet, please visit:
**https://skywork.ai**
For detailed setup instructions, see:
[references/apikey-fetch.md](references/apikey-fetch.md)
## Usage
Run the script using absolute path (do NOT cd to skill directory):
**Generate new image:**
```bash
python3 <SKILL_DIR>/scripts/generate_image.py --prompt "description" --filename "output.png" [--aspect-ratio 3:4] [--resolution 1K|2K|4K]
```
**Edit existing image:**
```bash
python3 <SKILL_DIR>/scripts/generate_image.py --prompt "edit instructions" --filename "output.png" --input-image "source.png" [--aspect-ratio 3:4] [--resolution 2K]
```
**Edit with multiple reference images:**
```bash
python3 <SKILL_DIR>/scripts/generate_image.py --prompt "combine these styles" --filename "output.png" -i "ref1.png" -i "ref2.png"
```
Always run from the user's working directory so images save there.
## When to Generate vs Edit
- **Generation** (`--prompt` only): Creating new images from scratch — posters, logos, illustrations, photos, infographics.
- **Editing** (`--prompt` + `--input-image`): User provides existing image(s) and wants modifications — style changes, element addition/removal, color adjustments, format conversion.
- Notice: Edit api supports character resemblance of up to 4 characters and the fidelity of up to 10 objects in a single workflow
If the user uploads/references images and wants changes, always use `--input-image`.
## Resolution
- **1K** — ~1024px, fast drafts
- **2K** (default) — ~2048px, good for most deliverables
- **4K** — ~4096px, final high-res output
Map user requests: "low/draft" → 1K, "normal/medium/2K" → 2K, "high-res/hi-res/4K/ultra" → 4K.
## Aspect Ratio
Supported ratios: `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, `21:9`.
Selection guidance:
- **1:1** — Social media avatars, icons, album covers
- **3:4 / 4:3** — General posters, presentations
- **4:5 / 5:4** — Instagram posts, portraits
- **9:16 / 16:9** — Mobile stories / desktop wallpapers, video covers
- **2:3 / 3:2** — Print posters, book covers
- **21:9** — Ultra-wide banners, cinema format
If the user doesn't specify, omit `--aspect-ratio` and let the API decide.
## Filename Convention
Pattern: `yyyy-mm-dd-hh-mm-ss-descriptive-name.png`
Examples:
- "A serene Japanese garden" → `2026-03-10-14-23-05-japanese-garden.png`
- "sunset over mountains" → `2026-03-10-15-30-12-sunset-mountains.png`
- Unclear context → `2026-03-10-17-12-48-x9k2.png`
## Preflight
- `command -v python3` (must exist)
- If editing: verify each `--input-image` file exists
## Common Failures
- `Error: Input image not found:` → wrong path; verify `--input-image` file exists
- `HTTP error 500` → backend service error; retry or check server status
- `Request failed: Connection refused` → backend service unavailable; ensure the service is running
- **Insufficient benefit**: The script or log may show a message like `Insufficient benefit. Please upgrade your account at {url}`, meaning the user's benefit level does not meet the requirement for this skill.
### How to reply when benefit is insufficient
When you detect the above, **reply in the user's current language** — do not echo the English message. Use this pattern:
- Convey: "Sorry, image generation failed. This skill requires upgrading your Skywork membership to use." then a single call-to-action link.
- **Format**: One short sentence in the user's language + a link like `[Upgrade now →](url)` or the equivalent in their language.
- **URL**: Extract the upgrade URL from the log/script output (e.g. the `at https://...` part).
> Note: Only suggest upgrading when the error is **Insufficient benefit**. For auth errors like `NO_TOKEN` / `INVALID_TOKEN` / `401` / “invalid API key”, keep the error code / raw message and guide users to update `SKYWORK_API_KEY`. **Do not** suggest upgrading membership.
## Output
- Script prints the local file path and the OSS URL.
- Depending on the platform, use the most appropriate way to deliver the image (e.g. send as image message, display inline, or print the URLs). By default, return both the local path and OSS URL to the user. The OSS URL ensures cross-platform accessibility.
## Design Scenarios
Match the user's request to a scenario and read the corresponding file for specialized workflow:
- **E-commerce product image**: See [scenarios/e-commerce.md](scenarios/e-commerce.md)
- **Storyboard**: See [scenarios/storyboard.md](scenarios/storyboard.md)
- **Infographic**: See [scenarios/infographic.md](scenarios/infographic.md)
- **Logo**: See [scenarios/logo.md](scenarios/logo.md)
- **Branding / VI**: See [scenarios/branding.md](scenarios/branding.md)
- **Brochure**: See [scenarios/brochure.md](scenarios/brochure.md)
- **Social media**: See [scenarios/social-media.md](scenarios/social-media.md)
- **Poster**: See [scenarios/poster.md](scenarios/poster.md)
## Prompt Engineering
### Prompts Best Practices
Follow these principles for quality prompts using the image API for generation or editing:
- **Describe the scene, don't just list keywords.** A narrative, descriptive paragraph produces much better results than disconnected words. The model's core strength is deep language understanding.
- Weak: "cat, sunset, beach"
- Strong: "A ginger tabby cat sitting on a sandy beach at golden hour, facing the camera with soft warm backlighting, shallow depth of field, ocean waves blurred in the background"
- **Be hyper-specific.** The more detail you provide, the more control you have. Include all visual details: style, colors, composition, lighting, background, textures.
- **Provide context and intent.** Explain the purpose of the image — the model's understanding of context influences the output.
- **Use step-by-step instructions** for complex scenes with many elements. Break the prompt into layers: foreground, middle ground, background.
- **Use "semantic negative prompts."** Instead of "no cars," describe positively: "an empty, deserted street with no signs of traffic."
- **Control the camera.** Use photographic and cinematic terms: "wide-angle shot", "macro shot", "low-angle perspective", "bird's eye view", "rule of thirds", "shallow depth of field".
- **Time perception.** If the result needs real-time timeliness, mention the current time context in the prompt.
- **Text in images.** Place text content within double quotation marks:
> A movie poster with the title "INCEPTION" in large silver metallic letters at the top
- Clearly specify and emphasize the elements that require modification. Describe reference images by their order (first image, second image), not by filename.
以 JSON 或薄 HTML 稳定生成泳道、层级卡片和共享轨道矩阵,支持交互式结构图及原生可编辑 PPTX、Visio 导出
Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.
Local speech-to-text with the Whisper CLI (no API key).
Generate and edit diagrams with the mcp-diagram-generator MCP server. Use this skill for new diagrams, existing .drawio/.mmd/.excalidraw edits, network topology, architecture, flowchart, swimlane, sequence, class, ER, and Excalidraw whiteboard work. Always use this skill when the user asks to draw,
洗練された画面のための設計知見と実装指南をまとめたスキルで、レイアウトからフロー、トークン、フロントエンドの変更まで扱います。
Create AI videos with Sora 2, Veo 3, Seedance, Runway, and modern APIs using reliable prompt and rendering workflows.
ffmpeg を使って動画からフレームを取り出し、手早い確認用のサムネイルを作るスキルです。
ローカルの Whisper で音声ファイルを文字に起こすスキルで、モデルのダウンロード後は完全にオフラインで動きます。
データ月:2026-09 · ダウンロード数、スター数、インストール数は公開スキルレジストリ(ClawHub、SkillHub)から月単位で集計しています。詳しくはデータの方法論をご覧ください。