Install
$ agentstack add skill-imartinstudio-cover-prompt-skills-cover-3d-eye ✓ 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.
About
3D Eye Cover
Use this skill to create a finished image prompt, or call an image generation tool directly when the user asks to generate the final cover. The result should feel like a premium dark-mode tutorial poster for running local AI: bold, private, terminal-native, slightly rebellious, and easy to understand at social-feed speed.
This is the visual style member of the 3d-eye family. Use it directly for covers/posters. When the same tutorial also needs step-by-step diagrams, hardware maps, privacy comparisons, or quantization explainers, route planning through article-visual-planner and pass this skill as the selected style, for example /article-visual-planner:cover-3d-eye.
Output Type
Use the explicit --out-type parameter to decide what to output.
--out-type template: output the invocation template only.--out-type prompt: output the final image prompt only.--out-type all: output the template first, then the final image prompt.- Omitted
--out-type: default totemplate.
Treat 直接生成, 生成海报, 生成封面, 出图, and 生成图片 as direct image generation when an image tool is available.
Template Output
For template-only mode, output exactly this structure and fill every field:
使用 $cover-3d-eye 生成一张封面
主题词:{topic}
副标题:{subtitle}
画幅比例:{ratio}
语言:{language}
用途:{use_case}
核心钩子:{hook}
视觉主体:{hero_subject}
补充背景:{context}
禁用元素:{forbidden_elements}
Required Inputs
Extract or infer:
- Topic / main title: required.
- Subtitle: optional.
- Aspect ratio: optional; infer from use case when omitted.
- Language: Chinese, English, or mixed Chinese-English.
- Use case: X cover, WeChat cover, blog header, tutorial cover, YouTube thumbnail, product education poster, knowledge card.
- Core hook: privacy, uncensored, offline, local ownership, hardware fit, quantization, speed, cost, safety mode off, no cloud, no account, no logs.
- Hero subject: terminal window, lock, hardware card, local-vs-cloud split, workflow strip, 3D Eye mascot, torn censorship tape, model file, API endpoint.
- Extra context: optional.
- Forbidden elements: optional; combine with style defaults.
Aspect Ratio Defaults
- X article cover / X header:
5:2. - WeChat article cover:
2.35:1. - Blog header / tutorial cover:
16:9. - YouTube thumbnail:
16:9. - Knowledge card / social post:
1:1. - Poster:
3:4or4:5.
State the exact ratio and canvas size in the first line of prompt-only output.
Visual System
Use these rules strictly:
- Background: deep black or near-black
#050707, subtle blueprint grid, faint scan lines, corner registration marks, restrained film grain. - Color: black, off-white title text, neon terminal green
#39FF73, dim gray secondary text, small red warning accents only when the subject needs error/risk. - Green usage: terminal command text, active borders, arrows, checkmarks, selected cards, glow around the lock/mascot/focus item.
- Typography: huge condensed bold sans title, cream-white, poster-like; secondary text can use monospaced terminal style.
- UI language: rounded terminal windows, command prompts, CLI cursors, step cards, hardware memory cards, lock/shield icons, cloud/local comparison panels, API endpoint labels.
- Mascot system: optional but recommended for series continuity. Use the 3D Eye mascot as a friendly hand-drawn white eyeball character with a rich blue iris, black sketch outlines, thick expressive eyebrows, black rubber arms/legs, white cartoon gloves, and small black shoes. It should feel intelligent, warm, focused, and action-oriented rather than robotic. Preferred poses: waving welcome, running forward, pointing direction, holding a blue skill card, thumbs-up, open palm, or confident center pose. Keep the mascot blue-white-black with small light-blue motion marks; do not add headset/cap/tool-belt variants unless the user explicitly asks.
- Composition: strong title layer, one clear hero scene, 1-3 supporting UI/diagram elements, generous dark negative space, bright green focus path.
- Mood: private, local, hacker-clean, educational, confident, a little defiant.
Avoid generic cyberpunk city backgrounds, purple/blue neon, RGB gaming rooms, Matrix code rain, robot faces, stock hacker hoodies, photoreal people, cluttered dashboards, random circuit-board backgrounds, cheap 3D icons, illegible microtext, official product logos unless the user explicitly asks, and copying existing case-image text verbatim.
Cover Composition Modes
Pick one mode unless the user specifies one:
- Censored breakthrough: huge title, torn black tape, green crack/glow, lock or terminal revealing the thesis.
- Local ownership hero: terminal plus unlocked lock/shield, with install-run-own workflow strip.
- Split world: local device vs cloud server, with local highlighted and cloud dimmed.
- Mascot explainer: 3D Eye mascot points to a terminal, card, or lock while title carries the argument.
- Hardware promise: memory/VRAM card, model size, speed tag, local machine emphasis.
- Danger/mistakes poster: red warning bullets with mascot reaction, but keep green as the dominant accent.
Prompt Output
For prompt-only mode, produce a provider-neutral image-generation prompt. Do not mention provider names, model names, or runtime-specific syntax unless the user explicitly asks.
Include:
- Exact canvas ratio and size.
- Topic, subtitle, use case, language, and core hook.
- Selected composition mode and why it fits.
- Hero subject and 1-3 concrete visual anchors.
- Title hierarchy and text placement plan.
- Background, terminal UI, neon green color system, typography, mascot usage.
- A concise avoid list.
If generating directly, keep all analysis internal and output only the generated image result.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: imartinstudio
- Source: imartinstudio/cover-prompt-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.