English Reading Analyzer for Openclaw

An advanced sentence-dissection and reading comprehension assistant that breaks down complex English sentences using a rigorous 5-step linguistic methodology.

zwli123
v1.0.0
Jul 3, 2026
0
353
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install english-reading-analyzer

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is English Reading Analyzer?

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.

English Reading Analyzer Use Cases

  • Analyzing dense academic research papers or technical documentation to understand key findings quickly.
  • Preparing for standardized English examinations (such as TOEFL, IELTS, GRE, or GMAT) requiring advanced reading comprehension.
  • Deconstructing complex contracts, legal texts, or international business communications.
  • Self-improving grammatical proficiency and sentence-structure comprehension.

How English Reading Analyzer Works

  1. Triggering the Analysis: The user inputs a complex sentence or paragraph with activation prompts like "analyze this sentence" or "break down this complex reading".
  2. Segmentation: The tool splits the sentence into manageable units using punctuation, conjunctions, and participial phrases as boundaries.
  3. Skeleton Extraction: It identifies the core subject-verb-object (SVO/SVC) skeleton, ignoring secondary modifiers.
  4. Modifier Parsing: It isolates and classifies attributive clauses, adverbials, non-finite verbs, and parallel elements.
  5. Synthesis & Translation: It synthesizes the components into a coherent, natural translation, highlighting underlying logic and key vocabulary.

English Reading Analyzer Setup

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"
  ]
}

English Reading Analyzer Data Schema & Taxonomy

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

English Reading Analyzer Advanced Features

  • Non-finite verb classification to distinguish between infinitives, gerunds, and participles.
  • Parallelism and omission detection, automatically restoring missing words in parallel clauses for accurate translation.
  • Appositive identification to easily map equivalents (e.g., A = B relations) across dash or comma structures.
  • Logical relationship highlighting to help students immediately spot causal, contrasting, or progressive links.
  • Contextual vocabulary lookup that prioritizes logic-driven translation over literal dictionary definition.

SKILL.md


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