canghe-cover-image
Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 9 color palettes and 6 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".
- Installs
- 541
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/freestylefly/canghe-skills --skill canghe-cover-image- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads canghe-cover-image automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Cover Image Generator
Generate elegant cover images for articles with 5-dimensional customization.
Usage
# Auto-select dimensions based on content
/canghe-cover-image path/to/article.md
# Quick mode: skip confirmation
/canghe-cover-image article.md --quick
# Specify dimensions
/canghe-cover-image article.md --type conceptual --palette warm --rendering flat-vector
# Style presets (shorthand for palette + rendering)
/canghe-cover-image article.md --style blueprint
# With reference images
/canghe-cover-image article.md --ref style-ref.png
# Direct content input
/canghe-cover-image --palette mono --aspect 1:1 --quick
[paste content]
Options
| Option | Description |
|---|---|
--type <name> | hero, conceptual, typography, metaphor, scene, minimal |
--palette <name> | warm, elegant, cool, dark, earth, vivid, pastel, mono, retro |
--rendering <name> | flat-vector, hand-drawn, painterly, digital, pixel, chalk |
--style <name> | Preset shorthand (see Style Presets) |
--text <level> | none, title-only, title-subtitle, text-rich |
--mood <level> | subtle, balanced, bold |
--font <name> | clean, handwritten, serif, display |
--aspect <ratio> | 16:9 (default), 2.35:1, 4:3, 3:2, 1:1, 3:4 |
--lang <code> | Title language (en, zh, ja, etc.) |
--no-title | Alias for --text none |
--quick | Skip confirmation, use auto-selection |
--ref <files...> | Reference images for style/composition guidance |
Five Dimensions
| Dimension | Values | Default |
|---|---|---|
| Type | hero, conceptual, typography, metaphor, scene, minimal | auto |
| Palette | warm, elegant, cool, dark, earth, vivid, pastel, mono, retro | auto |
| Rendering | flat-vector, hand-drawn, painterly, digital, pixel, chalk | auto |
| Text | none, title-only, title-subtitle, text-rich | title-only |
| Mood | subtle, balanced, bold | balanced |
| Font | clean, handwritten, serif, display | clean |
Auto-selection rules: references/auto-selection.md
Galleries
Types: hero, conceptual, typography, metaphor, scene, minimal → Details: references/types.md
Palettes: warm, elegant, cool, dark, earth, vivid, pastel, mono, retro → Details: references/palettes/
Renderings: flat-vector, hand-drawn, painterly, digital, pixel, chalk → Details: references/renderings/
Text Levels: none (pure visual) | title-only (default) | title-subtitle | text-rich (with tags) → Details: references/dimensions/text.md
Mood Levels: subtle (low contrast) | balanced (default) | bold (high contrast) → Details: references/dimensions/mood.md
Fonts: clean (sans-serif) | handwritten | serif | display (bold decorative) → Details: references/dimensions/font.md
File Structure
Output directory per default_output_dir preference:
same-dir:{article-dir}/imgs-subdir:{article-dir}/imgs/independent(default):cover-image/{topic-slug}/
<output-dir>/
├── source-{slug}.{ext} # Source files
├── refs/ # Reference images (if provided)
│ ├── ref-01-{slug}.{ext}
│ └── ref-01-{slug}.md # Description file
├── prompts/cover.md # Generation prompt
└── cover.png # Output image
Slug: 2-4 words, kebab-case. Conflict: append -YYYYMMDD-HHMMSS
Workflow
Progress Checklist
Cover Image Progress:
- [ ] Step 0: Check preferences (EXTEND.md) ⛔ BLOCKING
- [ ] Step 1: Analyze content + save refs + determine output dir
- [ ] Step 2: Confirm options (6 dimensions) ⚠️ unless --quick
- [ ] Step 3: Create prompt
- [ ] Step 4: Generate image
- [ ] Step 5: Completion report
Flow
Input → [Step 0: Preferences] ─┬─ Found → Continue
└─ Not found → First-Time Setup ⛔ BLOCKING → Save EXTEND.md → Continue
↓
Analyze + Save Refs → [Output Dir] → [Confirm: 6 Dimensions] → Prompt → Generate → Complete
↓
(skip if --quick or all specified)
Step 0: Load Preferences ⛔ BLOCKING
Check EXTEND.md existence (priority: project → user):
test -f .canghe-skills/canghe-cover-image/EXTEND.md && echo "project"
test -f "$HOME/.canghe-skills/canghe-cover-image/EXTEND.md" && echo "user"
| Result | Action |
|---|---|
| Found | Load, display summary → Continue |
| Not found | ⛔ Run first-time setup (references/config/first-time-setup.md) → Save → Continue |
CRITICAL: If not found, complete setup BEFORE any other steps or questions.
Step 1: Analyze Content
- Save reference images (if provided) → references/workflow/reference-images.md
- Save source content (if pasted, save to
source.md) - Analyze content: topic, tone, keywords, visual metaphors
- Deep analyze references ⚠️: Extract specific, concrete elements (see reference-images.md)
- Detect language: Compare source, user input, EXTEND.md preference
- Determine output directory: Per File Structure rules
Step 2: Confirm Options ⚠️
Full confirmation flow: references/workflow/confirm-options.md
| Condition | Skipped | Still Asked |
|---|---|---|
--quick or quick_mode: true | 6 dimensions | Aspect ratio (unless --aspect) |
All 6 + --aspect specified | All | None |
Step 3: Create Prompt
Save to prompts/cover.md. Template: references/workflow/prompt-template.md
CRITICAL - References in Frontmatter:
- Files saved to
refs/→ Add to frontmatterreferenceslist - Style extracted verbally (no file) → Omit
references, describe in body - Before writing → Verify:
test -f refs/ref-NN-{slug}.{ext}
Reference elements in body MUST be detailed, prefixed with "MUST"/"REQUIRED", with integration approach.
Step 4: Generate Image
- Backup existing
cover.pngif regenerating - Check image generation skills; if multiple, ask preference
- Process references from prompt frontmatter:
directusage → pass via--ref(use ref-capable backend)style/palette→ extract traits, append to prompt
- Generate: Call skill with prompt file, output path, aspect ratio
- On failure: auto-retry once
Step 5: Completion Report
Cover Generated!
Topic: [topic]
Type: [type] | Palette: [palette] | Rendering: [rendering]
Text: [text] | Mood: [mood] | Font: [font] | Aspect: [ratio]
Title: [title or "visual only"]
Language: [lang] | Watermark: [enabled/disabled]
References: [N images or "extracted style" or "none"]
Location: [directory path]
Files:
✓ source-{slug}.{ext}
✓ prompts/cover.md
✓ cover.png
Image Modification
| Action | Steps |
|---|---|
| Regenerate | Backup → Update prompt file FIRST → Regenerate |
| Change dimension | Backup → Confirm new value → Update prompt → Regenerate |
Composition Principles
- Whitespace: 40-60% breathing room
- Visual anchor: Main element centered or offset left
- Characters: Simplified silhouettes; NO realistic humans
- Title: Use exact title from user/source; never invent
Extension Support
Custom configurations via EXTEND.md. See Step 0 for paths.
Supports: Watermark | Preferred dimensions | Default aspect/output | Quick mode | Custom palettes | Language
Schema: references/config/preferences-schema.md
References
Dimensions: text.md | mood.md | font.md Palettes: references/palettes/ Renderings: references/renderings/ Types: references/types.md Auto-Selection: references/auto-selection.md Style Presets: references/style-presets.md Compatibility: references/compatibility.md Visual Elements: references/visual-elements.md Workflow: confirm-options.md | prompt-template.md | reference-images.md Config: preferences-schema.md | first-time-setup.md | watermark-guide.md
FAQ
What does the canghe-cover-image skill do?
Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 9 color palettes and 6 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".
How do I install canghe-cover-image?
Run npx skills add https://github.com/freestylefly/canghe-skills --skill canghe-cover-image in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/canghe-cover-image/ (personal) or .claude/skills/canghe-cover-image/ (project).
Which AI agents can use canghe-cover-image?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is canghe-cover-image safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains canghe-cover-image?
It is published by freestylefly in freestylefly/canghe-skills. It has 541 recorded installs.
More from freestylefly/canghe-skills
manga-drama
freestylefly/canghe-skills
漫剧生成器 - 基于 Seedance 的漫画风格短剧生成工具。支持以主角图片为基础，自动生成漫剧分镜脚本并生成视频。适用于创作漫画风格的短视频、角色故事、动画短片等。当用户想要生成漫画风格的视频短剧、角色故事或漫剧时使用此技能。
manga-style-video
freestylefly/canghe-skills
漫画风格视频生成器 - 专门生成日式治愈系、国风水墨、美式卡通等漫画风格的动画视频。内置8种漫画风格模板，支持图生视频，一键生成高质量漫画动画。当用户需要生成漫画风格、动画风格、手绘风格的视频时使用此技能。
seedance-video
freestylefly/canghe-skills
使用字节跳动 Seedance 模型生成视频。支持文生视频和图生视频功能，通过 volcengine-ark SDK 调用 API。当用户需要生成视频、创建视频内容或基于文字/图片制作视频时激活此技能。
canghe-image-gen
freestylefly/canghe-skills
AI image generation with OpenAI, Google, DashScope and Canghe APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
canghe-comic
freestylefly/canghe-skills
Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
volcengine-video-understanding
freestylefly/canghe-skills
火山视频理解 - 使用火山方舟视频理解 API 分析视频内容。通过 Files API 上传视频（推荐），支持大文件（最大512MB），可用于视频内容分析、物体识别、动作理解等。当用户需要分析视频、理解视频内容、提取视频信息时激活此技能。
Popular media & creative skills
hyperframes
heygen-com/hyperframes
Read first to make, edit, animate or render any video with HyperFrames (HTML rendered to video), including launch films, explainers, music videos, charts, maps, vertical clips, title cards, captions and overlays. Holds the render contract, the work loop and what each kind of video needs.
media-use
heygen-com/hyperframes
Get or make any media for a HyperFrames video - music, sound effects, images, icons, logos, voiceover, avatar and generated video, transcripts, cutouts, colour grades and looks - with HeyGen or free local tools, and mix placed audio. Also for footage that looks dark, flat or dull, or should be stylized or hidden.
hyperframes-registry
heygen-com/hyperframes
About 450 ready-made HyperFrames blocks and components installed as editable source - transitions, overlays, titles, kinetic type, captions, charts, map overlays, 3D, camera moves. Use it before hand-building any named visual (CRT scanlines, glitch, film grain, a chart); also for hyperframes add and catalog.
hyperframes-creative
heygen-com/hyperframes
Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use hyperframes-animation.
ai-video-generation
101-skills/superpowers
Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse
ai-image-generation
101-skills/superpowers
Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image