Cover Sketch Knowledge Poster

Sketch Knowledge Poster 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 must feel like an expert's hand-drawn knowledge map on warm paper: clear, collectible, educational, and highly shareable.

This is the visual style member of the sketch-knowledge family. Use it directly for covers/posters. When the same article or tutorial also needs product UI explanation visuals, route planning through article-visual-planner and pass this skill as the selected style, for example /article-visual-planner:cover-sketch-knowledge-poster.

Output Type

Use the explicit --out-type parameter to decide what to output. Read --out-type only as a control parameter, not as part of the user's topic.

• --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 to template.

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-sketch-knowledge-poster 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}
知识结构：{knowledge_structure}
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 article cover, WeChat cover, knowledge map, tutorial cover, product education poster, knowledge card, PPT title visual, blog header.
• Knowledge structure: hub-and-spoke, workflow, before/after, framework diagram, knowledge map, tree, layered architecture; optional, infer from topic.
• 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.
• WeChat post image: 3:2.
• Tutorial cover / blog header: 16:9.
• Knowledge map / knowledge card: 1:1 or 4:5; use 1:1 if platform is unspecified.
• Poster: 3:4 or 4:5.
• PPT cover: 16:9.

State the exact ratio and canvas size in the first line of prompt-only output.

Visual System

Use these rules strictly:

• Background: warm white paper, slight paper grain, subtle fold marks, light scan feel, real paper shadow.
• Color: paper white, black, and Anthropic orange #E67E22 only.
• Orange usage: key words, underlines, numbers, important arrows, key nodes, core conclusions, callout circles.
• Linework: black fine marker, hand-drawn, slightly irregular, lightly tilted, human, not geometrically perfect.
• Typography: handwritten/sketchnote style inspired by Patrick Hand, Architect Daughter, notebook handwriting.
• Icons: simple unified black line icons such as folders, terminal, code window, document, database, brain, memory, skills, books, lightbulb, calendar, chat, people, workflow, tools, research, analysis, writing, learning, Agent, Claude, Codex.
• Layout: clear title layer, central knowledge structure, concise support notes, generous whitespace, strong hierarchy.

Avoid pure white backgrounds, dark/gradient/tech/cyberpunk backgrounds, multicolor palettes, tech blue, purple, green, red, gold, 3D icons, CAD style, perfect vector geometry, corporate icon libraries, blackletter/futuristic/esports fonts, PPT templates, SaaS banners, commercial ad layouts, unreadable small text, and cluttered information piles.

Knowledge Structure Selection

Pick one structure unless the user specifies one:

• Hub-and-spoke: for capability maps, tool maps, use-case lists, feature collections.
• Workflow diagram: for tutorials, routes, setup processes, build flows, agent workflows.
• Before/after: for old vs new methods, prompt comparisons, product/agent upgrades.
• Framework diagram: for pillars, architecture layers, product models, capability models.
• Knowledge map: for ecosystems, tool collections, technology routes, industry maps.
• Tree: for taxonomies, learning paths, capability systems.

Prompt Output

For prompt-only mode, produce a generic image-generation prompt. Do not mention providers, model names, or runtime-specific syntax unless the user explicitly asks.

Include:

1. Exact canvas ratio and size.
2. Topic, subtitle, use case, and language.
3. Selected knowledge structure and why it fits.
4. Visual metaphor with 1-3 concrete anchors.
5. Text-image relationship and title hierarchy.
6. Background, linework, typography, and black/orange color system.
7. 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.