An advanced writing skill designed to emulate the unique Chinese essay style of Wang Xiaobo, blending rigorous syllogistic deduction with intellectual playfulness and dark humor.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wangxiaobo-style
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install wangxiaobo-style using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Wang Xiaobo Style Writing Assistant?
The Wang Xiaobo Style Writing Assistant is a specialized tool engineered to recreate the distinctive literary voice of Wang Xiaobo, one of modern China's most celebrated essayists. Grounded in a comprehensive linguistic and structural breakdown of 45 essays from his famous collection, "My Spiritual Homeland" (《我的精神家园》), this skill provides AI agents with actionable blueprints to inject deadpan humor, cold rationality, and deep intellectual honesty into regular prose.
Unlike traditional writing assistants that focus purely on superficial rhetorical enhancements, this approach prioritizes logical architecture over emotional hyperbole. It helps creators translate abstract concepts into tangible, sensory scenes and uses deductive mechanisms to expose absurdities in common assumptions, making it ideal for high-impact essay writing and content popularization.
Wang Xiaobo Style Writing Assistant Use Cases
- When explicitly requested by a user seeking to write in "王小波风格" (Wang Xiaobo style) or "小波风格".
- Converting dry academic or technical Chinese text into engaging, widely accessible popular science articles.
- Developing opinion essays, social commentaries, or satirical narratives that require rigid, syllogistic reasoning.
- Evaluating existing content to analyze if it fits the thematic frameworks and stylistic traits of Wang Xiaobo's essays.
- Eliminating emotional manipulation or cheap parallelisms from creative writing to elevate logical depth.
How Wang Xiaobo Style Writing Assistant Works
- Load Reference Models: The skill automatically internalizes the deep architectural analysis from its core reference files, establishing the mandatory three-layer model (Intellectual Interest, Structural Logic, and Intellectual Honesty).
- Analyze Core Messaging: It dissects the user's base input text to identify the foundational logic and fundamental truth being conveyed without introducing decorative humor prematurely.
- Select Execution Techniques: The system maps the input context to one or more of seven core stylistic techniques, such as Reductio ad Absurdum or Concrete Scene Replacement.
- Generate Prose: The text is built layer by layer, prioritizing an analytical scientist's perspective paired with a downward, unpretentious ending.
- Automated Quality Verification: The generated content runs through a self-check list to strip away empty rhetoric, puns, or grand concluding statements.
Wang Xiaobo Style Writing Assistant Setup
To deploy this skill within your Openclaw environment, clone the repository containing the skill and its accompanying reference analysis file:
# Navigate to your agent's skill repository
cd openclaw-agent/skills/
# Create the target directory and add the skill configuration
mkdir -p wangxiaobo-style/references
touch wangxiaobo-style/SKILL.md
Ensure that the core reference document references/王小波行文风格深度分析.md is populated with the complete textual rules extracted from the 45 base essays to enable deep stylistic replication.
Wang Xiaobo Style Writing Assistant Data Schema & Taxonomy
The skill relies on structured definitions and systematic templates to transform inputs into the target output format. Its technical architecture organizes data around the following operational assets:
| Data Component | File path / Asset Type | Purpose |
|---|---|---|
| Skill Specification | SKILL.md |
Defines system triggers, use cases, and prohibited behaviors for the LLM. |
| Linguistic Blueprint | references/王小波行文风格深度分析.md |
Contains 6 logic sub-techniques, 4 interest sub-techniques, and 6 humor sub-techniques with annotated code fragments. |
| Structural Matrix | Transformation Templates | Provides programmatic translation rules for changing formal academic phrasing directly into personalized experience narratives. |
Analytical Constraints
- Technique 1 (Syllogistic Deduction):
[Premise/Common Sense] -> Logical Extension -> [Absurd/Counterintuitive Conclusion] -> [Evaluation] - Technique 2 (Reductio ad Absurdum): Sequential assertion push ($A \rightarrow B \rightarrow C \rightarrow Z$) until absolute collapse.
Wang Xiaobo Style Writing Assistant Advanced Features
- Three-Layer Deep Architecture Unity: Enforces structural cohesion across text generation to balance surface entertainment with deep intellectual honesty.
- Abstract Model Generation: Automatically produces reusable story-models composed of a unique character, specific location, and operational mechanism to summarize abstract societal patterns.
- Automated Anti-Rhetoric Sanitization: Strips text of any cheap wit, excessive historical citations, or parallel emotional structures that dilute analytical rigor.
- Quantifiable Concrete Contrast Engine: Interjects precise, calculation-based quantitative references into emotional paragraphs to simulate an authentic scientist's analytical presence.
SKILL.md
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