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Cognitive Anchor Sketcher
Turns Chinese articles and Notion docs into memorable 16:9 hand-drawn editorial visuals, with a shot list you approve first.
$12
Cognitive Anchor Sketcher
Example session with this skill installed
Use $cognitive-anchor-sketcher on docs/ai-product-strategy.md.
I need five 16:9 editorial illustrations for this Chinese article. Use the minimal-line style and Xiaohei.
Start with the cognitive-anchor analysis and a shot list. For each image, include where it belongs, the core idea, composition, character action, and short Chinese annotations.
Do not generate anything until I approve the plan.
- Read your context and instructions
- Compiled the cognitive anchor sketcher
I found five strong cognitive anchors. Here is the proposed shot list.
- After “AI 不是外挂,而是工作流的一部分”
Core idea
AI moves from a side tool into the operating system of the work.
Visual
Xiaohei leaves an overflowing toolbox and steps into a small control room that connects the entire workflow.
Annotation
“从工具,到系统”
Structure
Before-and-after transition
- After “决策链比工具链更重要”
Core idea
Adding more tools does not fix unclear decisions.
Visual
Xiaohei opens three decision gates while a pile of unused tools waits outside.
Annotation
“先打通决策链”
Structure
Gated flow
- After “人仍然负责最终判断”
Core idea
Automation can move the work forward, but responsibility stays with the human.
Visual
A stream of completed tasks reaches a small final checkpoint where Xiaohei holds the only approval key.
Annotation
“最后一关,还是人”
Structure
Handoff and review
Recommended setup
5 images, 16:9, pure white background, minimal-line style, black linework with small blue accents.
Would you like to approve this shot list, revise it, or generate only the first image as a test?
Connects securely to your tools. The creator never sees your data.
About this skill
Most article visuals miss the point. They are either decorative images that say nothing, or dense diagrams that make the reader work harder.
Cognitive Anchor Sketcher starts with the article, not the image prompt. It reads Chinese long-form content, finds the judgment, process, structure, state, turning point, or metaphor worth remembering, and turns that idea into a focused 16:9 hand-drawn editorial illustration.
The problem
Writing a good image prompt is not the hardest part. The harder questions are: What deserves an image? Where should it appear? What action will make the idea visible? And how do you keep several images consistent without turning the article into a slide deck?
This skill handles those editorial decisions before generation begins.
What it does
- Analyzes Chinese articles, blog posts, Notion pages, workflow documents, and methodology content.
- Identifies the strongest cognitive anchors instead of illustrating every paragraph.
- Builds a reviewable shot list with placement, core meaning, composition, character action, and short Chinese annotations.
- Confirms the direction, drawing style, character or IP, image count, and output settings before generation.
- Generates one image at a time, checks the result, and saves approved copies without overwriting existing files.
- Supports two visual presets: minimal-line and emotion-doodle.
- Uses Xiaohei by default, with optional TuoTuo, XingBi, a paired-character mode, or an authorized custom IP.
What you get
A typical article receives a 4–8 image plan. Each image carries one idea, uses a clean white background, black-led hand-drawn linework, generous whitespace, and only a small amount of color where it helps the reader.
You can stop after the cognitive-anchor analysis, continue to a complete shot list, generate only the first image as a test, or proceed through the full approved set.
Why this is different
A normal image prompt starts too late. Cognitive Anchor Sketcher first decides what the image needs to explain and how the selected character should take part in the idea.
The result is not a slide deck pretending to be an illustration. It is a visual that supports the paragraph beside it.
Best for
Writers, product designers, AI builders, Notion users, knowledge-base teams, and anyone publishing Chinese long-form content with abstract ideas.
It is especially useful for product thinking, software workflows, methodology articles, knowledge management, technical writing, and opinion-led content.
Not built for
This is not a PPT, PDF, SVG, data-chart, photorealistic key visual, commercial poster, or silent bulk-generation tool. It also will not copy a custom character when the reference source or permission is unclear.
Compatibility
Analysis, shot-list planning, and prompt writing work in compatible SKILL.md agents. Automatic image generation is designed for Codex CLI with an active ChatGPT login and its built-in image generation tool. No OpenAI API key is required.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Image Generation Skills.
The skill is optimized for Chinese long-form content and 16:9 horizontal editorial illustrations.
Cognitive-anchor analysis, shot-list planning, and prompt writing can run in compatible SKILL.md agents, but automatic image generation requires Codex CLI with an active ChatGPT login and a built-in image generation tool.
It does not create PPTX, PDF, SVG, data-accurate charts, photorealistic key visuals, commercial posters, or unattended bulk image pipelines.
Custom IP use requires a reference image, a confirmed draft, and clear permission from the user. Chinese text inside generated images should always be reviewed before publishing.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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Permissions
File Scopes
The skill reads its own reference files and source material explicitly selected by the user. Browser access is used only for links the user provides. It writes approved image copies to `assets/<article-slug>-illustrations/` and may create project-local custom-IP profiles. Existing files are not overwritten, moved, or deleted. The optional non-CLI Codex bridge may create an isolated temporary working directory. The skill never requests or reads API-key values. It only removes `OPENAI_API_KEY`, `CODEX_API_KEY`, and `OPENAI_BASE_URL` from the bridge subprocess so generation cannot silently fall back to an API-key workflow.