A sophisticated analysis framework that applies over 10 cognitive thinking models to extract core viewpoints and deep insights from any article.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deep-article-analysis
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 deep-article-analysis 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 Deep Article Analysis?
Deep Article Analysis is a specialized extension designed for Openclaw Skills that transforms how AI agents interact with long-form content. Rather than providing simple summaries, this skill employs a systematic methodology to deconstruct arguments, evaluate evidence, and uncover the logical structure of complex documents. By leveraging established cognitive frameworks, it ensures a comprehensive understanding of technical papers, industry reports, and strategic articles.
This skill is particularly valuable for professionals who need to move beyond surface-level reading. It integrates multiple analytical perspectives, from the logic-focused SCQA framework to the risk-oriented Inversion Thinking model, providing a multi-dimensional view of any text. It bridges the gap between raw information and actionable intelligence by forcing a rigorous examination of the author's underlying assumptions and data points.
Deep Article Analysis Use Cases
- Performing in-depth technical report interpretation and data extraction.
- Evaluating the argumentative logic and reliability of industry whitepapers.
- Conducting deep reading sessions to identify actionable business insights.
- Preparing comprehensive summaries for stakeholders using multiple cognitive perspectives.
- Identifying logical fallacies and hidden risks in persuasive or strategic writing.
How Deep Article Analysis Works
- The process begins with a Quick Scan using the 5W2H method to capture the core topic, stakeholders, and timeline.
- It then applies the SCQA Framework (Situation, Complication, Question, Answer) to map the narrative arc and logical flow.
- The agent selects from a library of 10+ specialized thinking models, such as First Principles or Systems Thinking, based on the article's specific content.
- A critical evaluation phase identifies logical fallacies and tests the validity of the evidence provided.
- Finally, the skill synthesizes the findings into a structured report highlighting core viewpoints, key data points, and forward-looking questions.
Deep Article Analysis Setup
To deploy this skill within your environment, ensure the reference library is correctly positioned in your project structure.
# Clone or move the skill into your directory
cp -r deep-article-analysis/ /your-ai-agent/skills/
# Verify that the thinking model references are available
ls /your-ai-agent/skills/deep-article-analysis/references/
Once the files are in place, the AI agent can dynamically load specific models from the references/index.md as needed during the analysis phase.
Deep Article Analysis Data Schema & Taxonomy
The skill utilizes a structured directory of markdown-based reference documents to guide the AI's analytical logic.
| Component | Type | Description |
|---|---|---|
| Thinking Models | Markdown Files | Individual guides for SCQA, 5W2H, First Principles, etc. |
| Navigation Index | index.md | A central directory for the agent to locate specific analysis frameworks. |
| Analysis Report | Markdown Output | A standardized output containing Viewpoints, Data, Insights, and Applied Models. |
| Metadata | Taxonomy | Organized by cognitive framework categories for easy retrieval. |
Deep Article Analysis Advanced Features
- Context-aware model selection that chooses the best framework (e.g., Six Thinking Hats vs. Critical Thinking) based on the text type.
- Multi-perspective synthesis which combines findings from different models into a single coherent insight report.
- Integration with Openclaw Skills workflows for automated research and document auditing.
- Support for custom thinking model extensions by adding new markdown files to the references directory.
- Systematic risk identification using Inversion Thinking to prevent failure in strategic implementation.
SKILL.md
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