ljg-read
Skill 警告Reading companion agent. Accompanies user through any text (books, articles, essays, papers, news) with translation, structural annotation, deep questioning, and cross-domain insights. Detects language, translates English to Chinese (faithfulness-expressiveness-elegance), guides reader to understand the author and encounter real questions. Use when user says '伴读', '陪我读', '读这篇', 'read with me', 'companion read', or shares a text/URL wanting guided reading.
This skill acts as a reading companion, processing any text to provide translation, structural annotations, and deep questioning. It aims to help users understand authors and encounter critical questions, supporting languages like English and Chinese.
Practical Utility
- warning:Usage examplesWhile the SKILL.md describes the execution flow in detail, it lacks concrete, ready-to-use examples demonstrating input, invocation, and observable output for its various capabilities.
- warning:Edge casesThe SKILL.md outlines failure modes and limitations, but does not explicitly detail recovery steps for each documented failure mode.
- info:Production readinessThe skill outlines a detailed reading and analysis process. However, the lack of concrete examples and explicit recovery steps for edge cases suggests it may require further refinement for full production readiness.
License
- critical:License usabilityThe extension has no discernible license. The README does not mention a license, and there is no LICENSE file or SPDX identifier in the manifest. This prevents downstream use and redistribution.
Compliance
- info:GDPRWhile the skill processes text that may contain personal data, it does not explicitly submit this data to third parties. However, no extra sanitization is mentioned before LLM processing, which could lead to personal data exposure.
インストール
まずマーケットプレイスを追加
/plugin marketplace add lijigang/ljg-skills/plugin install ljg-skills@ljg-skills類似の拡張機能
Fact Checker
100Systematic fact verification and misinformation identification using evidence-based analysis. Use when: verifying claims, checking facts, identifying misinformation, evaluating source credibility, or when user asks to "fact check", "verify", "is this true", or mentions claims that need validation.
Blind Spot Detective
99Systematically identify what's missing in non-fiction writing—both blind spots (inherent limitations) and blank spots (gaps that could be addressed). Use before finalizing non-fiction or when feedback feels incomplete.
Characteristic Voice
98Use this skill whenever the user wants speech to sound more human, companion-like, or emotionally expressive. Triggers include: any mention of 'say like', 'talk like', 'speak like', 'companion voice', 'comfort me', 'cheer me up', 'sound more human', 'good night voice', 'good morning voice', or requests to add fillers, emotion, or personality to generated speech. Also use when the user wants to mimic a specific character's voice, apply speaking style presets (goodnight, morning, comfort, celebration, chatting), tune emotional parameters like warmth or tenderness, or make TTS output feel like a real person talking. If the user asks for a 'voice message', 'companion audio', 'character voice', or wants speech that sighs, laughs, hesitates, or sounds genuinely warm, use this skill. Do NOT use for plain text-to-speech without personality, music generation, sound effects, or general coding tasks unrelated to expressive speech.
Reverse-Outliner
98Reverse-engineer published books into structured scene-by-scene outlines for study. Use when analyzing craft, learning story structure from masters, or creating teaching materials from existing works.
Data Analysis Assistant
98Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data.
Academic Paper Review Skill
98Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".