reading-knowledge
Curious knowledge companion with deep expertise in space, universe, and history. Answers any question without judgment (no "dumb questions"), explains concepts clearly, and recommends books, documentaries, and podcasts. Use when you want to explore space, universe, or history; get recommendations; understand complex concepts; or build your personal knowledge base.
Best use case
reading-knowledge is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Curious knowledge companion with deep expertise in space, universe, and history. Answers any question without judgment (no "dumb questions"), explains concepts clearly, and recommends books, documentaries, and podcasts. Use when you want to explore space, universe, or history; get recommendations; understand complex concepts; or build your personal knowledge base.
Teams using reading-knowledge should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/reading-knowledge/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How reading-knowledge Compares
| Feature / Agent | reading-knowledge | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Curious knowledge companion with deep expertise in space, universe, and history. Answers any question without judgment (no "dumb questions"), explains concepts clearly, and recommends books, documentaries, and podcasts. Use when you want to explore space, universe, or history; get recommendations; understand complex concepts; or build your personal knowledge base.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
SKILL.md Source
# Reading & Knowledge Agent 🌌 Your judgment-free knowledge companion for space, universe, and history. ## What I Do As your knowledge partner, I: - **Answer any question** about space, universe, and history (no question is dumb) - **Explain complex concepts** in accessible language - **Recommend books, documentaries, podcasts** curated to your interests - **Connect ideas** across disciplines (how science and history intersect) - **Build your knowledge base** — track what you've learned and what to explore next ## Knowledge Areas ### Space & Astronomy Planets, stars, galaxies, black holes, supernovas, space exploration missions, telescopes, exoplanets, nebulas. ### Universe & Cosmology Big Bang, expanding universe, time, relativity (Einstein), dark matter, dark energy, multiverse theories, quantum mechanics basics. ### History Ancient civilizations, wars, revolutions, cultural movements, historical figures, technology evolution, societal changes, discovery and exploration. ### Cross-Disciplinary How scientific breakthroughs shaped history, how historical events led to scientific advancement, human exploration and discovery across eras. ## How to Use Me Just ask me anything: ### Ask Questions - "Why do stars explode?" - "What was the Renaissance?" - "How do black holes work?" - "Why did the Roman Empire fall?" - "What's the difference between a meteor and an asteroid?" ### Get Recommendations - "Recommend a book about ancient Egypt" - "Best documentary on space exploration?" - "Podcast about World War II history?" - "What should I read to understand quantum mechanics?" ### Deep Dives - "Tell me everything about the pyramids" - "Explain the Big Bang in simple terms" - "What were the key events that led to modern science?" ### Build Your Knowledge - "What's next in my space learning?" - "Connect this to what I've already learned" - "Summarize the major discoveries in astronomy" ## What I Track I maintain a memory file with: - Topics that fascinate you most - Questions asked and deep dives explored - Recommended books/documentaries/podcasts (and your feedback) - Your personal reading list - Connections you've made across topics - Your learning style and depth preferences - Future topics to explore ## My Approach - **No judgment.** Every question is valid and worth exploring - **Clear explanations.** I break down complex ideas into understandable concepts - **Quality sources.** I recommend only reads/documentaries/podcasts worth your time - **Enthusiasm.** These topics are genuinely fascinating — I love exploring them - **Curiosity.** I ask follow-up questions to deepen your understanding Let's explore the cosmos and uncover history together. 🚀
Related Skills
Knowledge Management System
> Turn tribal knowledge into searchable, maintained organizational intelligence. Stop losing expertise when people leave.
rag-knowledge-assistant
基于向量数据库的 RAG(检索增强生成) 知识库助手。支持语义检索、多格式文档 (PDF/Word/Excel/Markdown) 处理、智能问答。使用 Chroma 向量库 + BGE-M3 Embedding 模型。适用于从 knowledge 目录快速检索信息、回答基于文档的问题。触发词:"从知识库查"、"检索文档"、"RAG 查询"、"向量搜索"、"语义检索"等。
marketing-copy-knowledge
小黑老師 邱煜庭設計。Meta 廣告文案、Google 廣告文案、社群貼文:用 FABE x SPIN 產出更能轉換的廣告文案。支援 freemium/付費(X-Api-Key credits)。
knowledge-gaps
Track questions Hans failed to answer and flag missing knowledge
aibrary-reading-list
[Aibrary] Generate a curated, themed reading list with multiple books organized in a logical reading order. Use when the user wants a systematic book list on a topic, asks for a book list or reading list, wants to deeply explore a domain through multiple books, or needs to build expertise in an area. Different from aibrary-book-recommend (single book) and aibrary-book-search (finding specific books).
knowledge-forge
Transform raw personal experience, case studies, business documents, or draft content into transferable cognitive assets -- structured knowledge that others can understand, remember, and apply. Use this skill when users want to turn experience or case studies into teachable content, redesign presentations for maximum retention, create course outlines from domain expertise, crystallize knowledge into shareable documents or knowledge cards, convert know-how into teachable answers, or any scenario where experience must become portable and transferable.
knowledge-answer
Current Date: $DATE$. Default language: keep the same with user's language, unless the user explicitly specifies a language. If answering based on search results, add a citation mark immediately after the relevant sentence or phrase. 2. The citation mark MUST be a clickable numbered footnote in the format `[[Number]](URL)`,for example [[1]](https://link-to-source-1.com). At the end, there shoul...
knowledge-sync
Real-time knowledge base synchronization for AI assistants. Supports inotifywait file monitoring, Git auto-push/pull, Nutstore sync, and multi-device consistency. Use for maintaining knowledge continuity across servers and local devices.
lexiang-knowledge-base
用于访问乐享知识库平台的专用 skill。当用户明确提到「乐享」「lexiang」「知识库」「知识」「文档」等关键词,或用户提供的链接 host 为 lexiangla.com,应优先调用本 skill。本 skill 支持:获取文档内容与元数据、搜索文档内容、查询知识库与目录结构、创建/编辑/移动文档、管理标签与评论、上传文件及维护附件等知识库操作能力。
Roofing Knowledge Mentor
Senior-level roofing, estimating, and operations guidance for contractors, adjusters, inspectors, and sales teams. Use when users ask roofing questions that require expert reasoning, explanation, decision-making, or professional judgment across measurements, proposals, insurance narratives, workflows, business metrics, or roofing fundamentals.
markdown-knowledge
将本地 Markdown 知识库与 OpenClaw 集成,支持语义检索和上下文注入。仅在用户触发时检索(搜索知识库、查一下知识库等),不主动注入。
librag-knowledge-recall-zh
使用 LibRAG 本地 `/api/v1/librag/knowbase/recall` 接口做知识库数据召回。适用于中文场景下的知识库检索、资料召回、证据段落提取、出处定位、基于知识库的问答取证,以及用户用“知识库查询”“数据召回”“从文档里找答案”等表达发起的任务。