An advanced sentence-dissection and reading comprehension assistant that breaks down complex English sentences using a rigorous 5-step linguistic methodology.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install english-reading-analyzer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install english-reading-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The English Reading Analyzer is a powerful linguistic tool designed to deconstruct complex English sentences, enabling readers to comprehend difficult academic, professional, and literary texts. By applying a systematic five-step analysis methodology, this skill simplifies syntax, identifies core logical structures, and unlocks precise translations without losing the original context.
It serves as a vital component of Openclaw Skills, empowering learners, researchers, and professionals to tackle high-level reading materials, such as research papers, news reports, and standardized exams. With its focus on syntactic clarity and semantic accuracy, it transforms dense, intimidating prose into highly readable, actionable insights.
Install the workspace prerequisites and enable the tool within your configuration environment.
# Install the Openclaw CLI
npm install -g @openclaw/cli
# Add the English Reading Analyzer skill to your workspace
claw skill add english-reading-analyzer
Configure the skill in your project's active profile:
{
"skills": [
"english-reading-analyzer"
]
}
The English Reading Analyzer organizes parsed outputs into a clean, structured schema designed for both human review and automated pipeline consumption:
| Field | Type | Description |
|---|---|---|
segmented_sentence |
String | The original sentence sliced with / |
skeleton |
String | The core grammatical subject, verb, and object |
modifiers |
Array | Identified modifiers (Attributive, Adverbial, Appositive) |
logical_relationship |
String | Logical connection (Causal, Contrast, Parallel, Progressive) |
translation |
String | Clean, natural language translation |
vocabulary |
List | Key words identified with contextual definitions |
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