by Neko3000
Keep Whale-chan consistently vivid in every generation: High-consistency character design specification, visual asset library, and agent creation suite.
# Add to your Claude Code skills
git clone https://github.com/Neko3000/deepseek-whalechanGuides for using ai agents skills like deepseek-whalechan.
Last scanned: 8/31/2026
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"status": "PASSED",
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}See how deepseek-whalechan compares with popular alternatives.
deepseek-whalechan is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Neko3000. Keep Whale-chan consistently vivid in every generation: High-consistency character design specification, visual asset library, and agent creation suite. It has 100 GitHub stars.
Yes. deepseek-whalechan passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/Neko3000/deepseek-whalechan" and add it to your Claude Code skills directory (see the Installation section above).
deepseek-whalechan is primarily written in Python. It is open-source under Neko3000 on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh deepseek-whalechan against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Whale-chan originated from spontaneous community creations and emotional resonance with the DeepSeek model's reasoning chain and outputs. A whale-fin maid girl who firmly believes that white rice is the ultimate hard currency for computing power, she is slightly tsundere, warm-hearted, and loves unapologetically slacking off in standby mode. She has sparked countless classic memes, stickers, and creative fanworks across social platforms, becoming a truly beloved community icon.
The DeepSeek Whale-chan project is an open-source character specification and Agent creation suite tailored for Whale-chan derivative content. By establishing unified visual standards, anatomical parameters, and automated toolchains, we empower creators and developers to reliably generate high-quality character illustrations, posters, stickers, and multi-panel comedy comics:
Forms strictly control body proportions and skeletal ratios, without altering character age, identity, costume details, hair color, or cetacean physiology. The built-in skeletal joint fitting and pose neutralization algorithms enforce precise head-to-body ratio acceptance bands:
Form Code (form) |
Target Ratio | Strict Acceptance Range | Visual Characteristics & Target Scenarios |
|---|---|---|---|
standard |
4.0 Heads | 3.846 ~ 4.146 |
Standard Slender Form: Most elongated posture, natural limbs, clear torso structure. Best for standing displays, official concept sheets, and large posters. |
compact |
3.3 Heads | 3.105 ~ 3.405 |
Compact Proportion Form: Moderately shortened limbs, stronger dynamic tension. Best for action poses, seated interactions, and medium-range illustrations. |
semi-chibi |
2.8 Heads | 2.689 ~ 2.989 |
Default Baseline Form: Slightly larger head, rounded and compact torso and limbs, blending cuteness and scene adaptability. Default output baseline for all Skills. |
chibi |
2.5 Heads | 2.372 ~ 2.672 |
Chibi Cute Form: Short torso, rounded hands and feet, expressive and exaggerated emotions. Best for gag 4-panel comics and stickers. |
super-deformed |
2.1 Heads | 1.931 ~ 2.231 |
Extreme SD Form: Massive head and tiny limbs, visual focus entirely on face and cowlick. Best for comedic plot twists and high-density stickers. |
Dedicated to generating identity-locked, well-composed, clean-background WebP illustrations and reference sheets across all forms.