[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6PXXSW1C0TG0TQS60PKDEP9":3,"skill-same:01M6PXXSW1C0TG0TQS60PKDEP9":71},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":35,"linkOnly":36,"markdownContent":37,"markdownBody":38,"frontMatter":39,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":49,"updatedAt":50,"install":51,"resources":64},"01M6PXXSW1C0TG0TQS60PKDEP9","learn-cog",null,"Learning and education powered by CellCog. Homework help, tutoring, study guides, explanations, exam prep, coding tutorials, language learning, skill development. AI-powered learning assistant.","Kernel8901\u002Fai-agent-skills-classification","Kernel8901","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F72647553?v=4","01M6KV388J2H5PNC8D8P940BJD","01M6KV38CS5B3AY63RKZB410YM",7,"MIT","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F学习与教育\u002Flearn-cog\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34],"learn","learn cog","education","prep","cellcog","exam","guides","homework","study","language learning","assistant","language","coding","learning","skill development","help","development","2026-11-10 10:12:30",false,"---\nname: learn-cog\ndescription: Learning and education powered by CellCog. Homework help, tutoring, study guides, explanations, exam prep, coding tutorials, language learning, skill development. AI-powered learning assistant.\nmetadata:\n  openclaw:\n    emoji: \"?\"\n---\n\n# Learn Cog - Learning Powered by CellCog\n\nYour AI tutor for any subject - from homework help to skill development to exam prep.\n\n---\n\n## Prerequisites\n\nThis skill requires the CellCog mothership skill for SDK setup and API calls.\n\n```bash\nclawhub install cellcog\n```\n\n**Read the cellcog skill first** for SDK setup. This skill shows you what's possible.\n\n**Quick pattern (v1.0+):**\n```python\n# Fire-and-forget - returns immediately\nresult = client.create_chat(\n    prompt=\"[your learning request]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"learning-task\",\n    chat_mode=\"agent\"  # Agent mode for most learning\n)\n# Daemon notifies you when complete - do NOT poll\n```\n\n---\n\n## How Learn-Cog Helps\n\n### Concept Explanations\n\nUnderstand anything:\n\n- **Break It Down**: \"Explain quantum entanglement like I'm 10 years old\"\n- **Multiple Angles**: \"Explain recursion using 3 different analogies\"\n- **Deep Dives**: \"Give me a comprehensive explanation of how neural networks learn\"\n- **Visual Learning**: \"Create a diagram explaining the water cycle\"\n\n**Example prompt:**\n> \"Explain blockchain technology:\n> \n> Level: Complete beginner, no tech background\n> \n> Include:\n> - Simple analogy to start\n> - How transactions work\n> - Why it's secure\n> - Real-world examples\n> - Common misconceptions\n> \n> Use simple language, avoid jargon. Include a visual diagram.\"\n\n### Homework & Problem Solving\n\nWork through problems:\n\n- **Math Problems**: \"Solve this calculus problem and explain each step\"\n- **Science Questions**: \"Help me understand this physics concept and solve these problems\"\n- **Essay Help**: \"Help me structure an essay on the causes of World War I\"\n- **Code Debugging**: \"Explain why my code isn't working and help me fix it\"\n\n**Example prompt:**\n> \"Help me understand this math problem:\n> \n> Problem: Find the derivative of f(x) = x³sin(x)\n> \n> I know basic derivatives but I'm confused about the product rule.\n> \n> Please:\n> 1. Remind me of the product rule\n> 2. Apply it step by step\n> 3. Give me 2 similar problems to practice\n> 4. Show me how to check my answer\"\n\n### Study Materials\n\nPrepare for success:\n\n- **Study Guides**: \"Create a study guide for AP Chemistry exam\"\n- **Flashcards**: \"Generate 50 flashcards for Spanish vocabulary\"\n- **Practice Tests**: \"Create a practice quiz on US History 1900-1950\"\n- **Summary Notes**: \"Summarize Chapter 5 of my biology textbook\"\n- **Cheat Sheets**: \"Create a one-page reference for Python syntax\"\n\n**Example prompt:**\n> \"Create a comprehensive study guide for the AWS Solutions Architect exam:\n> \n> Cover:\n> - Key services and when to use them\n> - Networking concepts\n> - Security best practices\n> - Cost optimization strategies\n> \n> Format: Clear sections, bullet points, diagrams where helpful\n> Include: Practice questions after each section\"\n\n### Coding & Tech Learning\n\nLevel up your skills:\n\n- **Language Learning**: \"Teach me Python from zero to building a web app\"\n- **Code Review**: \"Review my code and explain how to improve it\"\n- **Project Tutorials**: \"Walk me through building a REST API step by step\"\n- **Concept Deep Dives**: \"Explain how Docker containers actually work\"\n\n**Example prompt:**\n> \"Teach me React hooks:\n> \n> My level: I know basic JavaScript and HTML\u002FCSS, never used React\n> \n> Structure:\n> 1. What problem do hooks solve?\n> 2. useState with simple examples\n> 3. useEffect with practical use cases\n> 4. When to use which hook\n> 5. A mini-project putting it together\n> \n> Include code examples I can run.\"\n\n### Language Learning\n\nMaster new languages:\n\n- **Grammar Explanations**: \"Explain Japanese particles with examples\"\n- **Conversation Practice**: \"Practice ordering food in French\"\n- **Writing Feedback**: \"Check my Spanish essay and explain my mistakes\"\n- **Vocabulary Building**: \"Teach me 20 essential business Chinese phrases\"\n\n---\n\n## Learning Styles\n\nTell CellCog how you learn best:\n\n| Style | Ask For |\n|-------|---------|\n| **Visual** | Diagrams, charts, infographics |\n| **Examples** | Multiple worked examples, real-world applications |\n| **Analogies** | Comparisons to familiar concepts |\n| **Step-by-Step** | Detailed breakdowns, numbered procedures |\n| **Big Picture** | Overview first, then details |\n| **Hands-On** | Practice problems, projects |\n\n---\n\n## Subjects\n\nCellCog can help with virtually any subject:\n\n**STEM:**\n- Mathematics (all levels through advanced calculus and beyond)\n- Physics, Chemistry, Biology\n- Computer Science and Programming\n- Statistics and Data Science\n- Engineering concepts\n\n**Humanities:**\n- History and Social Studies\n- Literature and Writing\n- Philosophy\n- Languages\n- Psychology\n\n**Professional:**\n- Business and Finance\n- Marketing\n- Project Management\n- Design\n- Legal concepts\n\n**Tech Skills:**\n- Programming languages\n- Cloud platforms (AWS, GCP, Azure)\n- DevOps and infrastructure\n- Data engineering\n- AI\u002FML concepts\n\n---\n\n## Chat Mode for Learning\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Homework help, concept explanations, practice problems | `\"agent\"` |\n| Comprehensive study guides, full curriculum design, deep research | `\"agent team\"` |\n\n**Use `\"agent\"` for most learning.** Quick explanations, homework help, and study materials execute well in agent mode.\n\n**Use `\"agent team\"` for comprehensive learning** - full course outlines, research papers, or when you need multi-source synthesis.\n\n---\n\n## Example Prompts\n\n**Concept explanation:**\n> \"Explain the concept of recursion in programming:\n> \n> My level: Beginner programmer, comfortable with loops\n> \n> I need:\n> - Clear definition\n> - Visual representation\n> - 3 progressively harder examples (factorial, fibonacci, tree traversal)\n> - Common mistakes to avoid\n> - When to use recursion vs iteration\n> \n> Language: Python\"\n\n**Exam prep:**\n> \"Create a study plan for the GRE:\n> \n> Timeline: 2 months\n> Goal: 320+ score\n> Weak areas: Vocabulary and geometry\n> \n> Include:\n> - Weekly schedule\n> - Resources to use\n> - Practice test strategy\n> - Day-before checklist\n> \n> Make it realistic for someone working full-time.\"\n\n**Language practice:**\n> \"Help me practice Japanese:\n> \n> Level: JLPT N4\n> Focus: Conversational situations\n> \n> Create a dialogue practice:\n> - Scenario: Asking for directions in Tokyo\n> - Include vocabulary list\n> - Grammar points used\n> - Cultural notes\n> - Variations to practice\n> \n> Use romaji and kanji with hiragana readings.\"\n\n---\n\n## Tips for Better Learning\n\n1. **State your level**: \"Complete beginner\" vs \"I understand the basics\" changes everything.\n\n2. **Ask why**: Don't just ask for answers. Ask for explanations of the reasoning.\n\n3. **Request practice**: Learning happens through doing. Ask for practice problems.\n\n4. **Admit confusion**: \"I don't understand the part where...\" helps CellCog target explanations.\n\n5. **Build on previous**: Reference what you already understand to get appropriate explanations.\n\n6. **Active recall**: Ask CellCog to quiz you, not just explain. Testing improves retention.\n","# Learn Cog - Learning Powered by CellCog\n\nYour AI tutor for any subject - from homework help to skill development to exam prep.\n\n---\n\n## Prerequisites\n\nThis skill requires the CellCog mothership skill for SDK setup and API calls.\n\n```bash\nclawhub install cellcog\n```\n\n**Read the cellcog skill first** for SDK setup. This skill shows you what's possible.\n\n**Quick pattern (v1.0+):**\n```python\n# Fire-and-forget - returns immediately\nresult = client.create_chat(\n    prompt=\"[your learning request]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"learning-task\",\n    chat_mode=\"agent\"  # Agent mode for most learning\n)\n# Daemon notifies you when complete - do NOT poll\n```\n\n---\n\n## How Learn-Cog Helps\n\n### Concept Explanations\n\nUnderstand anything:\n\n- **Break It Down**: \"Explain quantum entanglement like I'm 10 years old\"\n- **Multiple Angles**: \"Explain recursion using 3 different analogies\"\n- **Deep Dives**: \"Give me a comprehensive explanation of how neural networks learn\"\n- **Visual Learning**: \"Create a diagram explaining the water cycle\"\n\n**Example prompt:**\n> \"Explain blockchain technology:\n> \n> Level: Complete beginner, no tech background\n> \n> Include:\n> - Simple analogy to start\n> - How transactions work\n> - Why it's secure\n> - Real-world examples\n> - Common misconceptions\n> \n> Use simple language, avoid jargon. Include a visual diagram.\"\n\n### Homework & Problem Solving\n\nWork through problems:\n\n- **Math Problems**: \"Solve this calculus problem and explain each step\"\n- **Science Questions**: \"Help me understand this physics concept and solve these problems\"\n- **Essay Help**: \"Help me structure an essay on the causes of World War I\"\n- **Code Debugging**: \"Explain why my code isn't working and help me fix it\"\n\n**Example prompt:**\n> \"Help me understand this math problem:\n> \n> Problem: Find the derivative of f(x) = x³sin(x)\n> \n> I know basic derivatives but I'm confused about the product rule.\n> \n> Please:\n> 1. Remind me of the product rule\n> 2. Apply it step by step\n> 3. Give me 2 similar problems to practice\n> 4. Show me how to check my answer\"\n\n### Study Materials\n\nPrepare for success:\n\n- **Study Guides**: \"Create a study guide for AP Chemistry exam\"\n- **Flashcards**: \"Generate 50 flashcards for Spanish vocabulary\"\n- **Practice Tests**: \"Create a practice quiz on US History 1900-1950\"\n- **Summary Notes**: \"Summarize Chapter 5 of my biology textbook\"\n- **Cheat Sheets**: \"Create a one-page reference for Python syntax\"\n\n**Example prompt:**\n> \"Create a comprehensive study guide for the AWS Solutions Architect exam:\n> \n> Cover:\n> - Key services and when to use them\n> - Networking concepts\n> - Security best practices\n> - Cost optimization strategies\n> \n> Format: Clear sections, bullet points, diagrams where helpful\n> Include: Practice questions after each section\"\n\n### Coding & Tech Learning\n\nLevel up your skills:\n\n- **Language Learning**: \"Teach me Python from zero to building a web app\"\n- **Code Review**: \"Review my code and explain how to improve it\"\n- **Project Tutorials**: \"Walk me through building a REST API step by step\"\n- **Concept Deep Dives**: \"Explain how Docker containers actually work\"\n\n**Example prompt:**\n> \"Teach me React hooks:\n> \n> My level: I know basic JavaScript and HTML\u002FCSS, never used React\n> \n> Structure:\n> 1. What problem do hooks solve?\n> 2. useState with simple examples\n> 3. useEffect with practical use cases\n> 4. When to use which hook\n> 5. A mini-project putting it together\n> \n> Include code examples I can run.\"\n\n### Language Learning\n\nMaster new languages:\n\n- **Grammar Explanations**: \"Explain Japanese particles with examples\"\n- **Conversation Practice**: \"Practice ordering food in French\"\n- **Writing Feedback**: \"Check my Spanish essay and explain my mistakes\"\n- **Vocabulary Building**: \"Teach me 20 essential business Chinese phrases\"\n\n---\n\n## Learning Styles\n\nTell CellCog how you learn best:\n\n| Style | Ask For |\n|-------|---------|\n| **Visual** | Diagrams, charts, infographics |\n| **Examples** | Multiple worked examples, real-world applications |\n| **Analogies** | Comparisons to familiar concepts |\n| **Step-by-Step** | Detailed breakdowns, numbered procedures |\n| **Big Picture** | Overview first, then details |\n| **Hands-On** | Practice problems, projects |\n\n---\n\n## Subjects\n\nCellCog can help with virtually any subject:\n\n**STEM:**\n- Mathematics (all levels through advanced calculus and beyond)\n- Physics, Chemistry, Biology\n- Computer Science and Programming\n- Statistics and Data Science\n- Engineering concepts\n\n**Humanities:**\n- History and Social Studies\n- Literature and Writing\n- Philosophy\n- Languages\n- Psychology\n\n**Professional:**\n- Business and Finance\n- Marketing\n- Project Management\n- Design\n- Legal concepts\n\n**Tech Skills:**\n- Programming languages\n- Cloud platforms (AWS, GCP, Azure)\n- DevOps and infrastructure\n- Data engineering\n- AI\u002FML concepts\n\n---\n\n## Chat Mode for Learning\n\n| Scenario | Recommended Mode |\n|----------|------------------|\n| Homework help, concept explanations, practice problems | `\"agent\"` |\n| Comprehensive study guides, full curriculum design, deep research | `\"agent team\"` |\n\n**Use `\"agent\"` for most learning.** Quick explanations, homework help, and study materials execute well in agent mode.\n\n**Use `\"agent team\"` for comprehensive learning** - full course outlines, research papers, or when you need multi-source synthesis.\n\n---\n\n## Example Prompts\n\n**Concept explanation:**\n> \"Explain the concept of recursion in programming:\n> \n> My level: Beginner programmer, comfortable with loops\n> \n> I need:\n> - Clear definition\n> - Visual representation\n> - 3 progressively harder examples (factorial, fibonacci, tree traversal)\n> - Common mistakes to avoid\n> - When to use recursion vs iteration\n> \n> Language: Python\"\n\n**Exam prep:**\n> \"Create a study plan for the GRE:\n> \n> Timeline: 2 months\n> Goal: 320+ score\n> Weak areas: Vocabulary and geometry\n> \n> Include:\n> - Weekly schedule\n> - Resources to use\n> - Practice test strategy\n> - Day-before checklist\n> \n> Make it realistic for someone working full-time.\"\n\n**Language practice:**\n> \"Help me practice Japanese:\n> \n> Level: JLPT N4\n> Focus: Conversational situations\n> \n> Create a dialogue practice:\n> - Scenario: Asking for directions in Tokyo\n> - Include vocabulary list\n> - Grammar points used\n> - Cultural notes\n> - Variations to practice\n> \n> Use romaji and kanji with hiragana readings.\"\n\n---\n\n## Tips for Better Learning\n\n1. **State your level**: \"Complete beginner\" vs \"I understand the basics\" changes everything.\n\n2. **Ask why**: Don't just ask for answers. Ask for explanations of the reasoning.\n\n3. **Request practice**: Learning happens through doing. Ask for practice problems.\n\n4. **Admit confusion**: \"I don't understand the part where...\" helps CellCog target explanations.\n\n5. **Build on previous**: Reference what you already understand to get appropriate explanations.\n\n6. **Active recall**: Ask CellCog to quiz you, not just explain. Testing improves retention.\n",{"name":5,"metadata":40,"description":7},{"openclaw":41},{"emoji":42},"?","main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","学习与教育\u002Flearn-cog",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science geek","2026-04-05 16:43:56",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill learn-cog",{"tool":57,"command":58},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill learn-cog",{"tool":60,"command":61},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill learn-cog","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F学习与教育\u002Flearn-cog\u002FSKILL.md",true,[65],{"path":66,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":69,"sourceHtmlUrl":70},"_meta.json","REFERENCE","参考文档",278,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F学习与教育\u002Flearn-cog\u002F_meta.json",[72,96,132,143,153,183],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":78,"publishedAt":35},"01M6Q5R6WZ06RRB9RQTW54B34B","zyfai","Earn yield on any Ethereum wallet on Base, Arbitrum, and Plasma. Use when a user wants passive DeFi yield on their funds. Deploys a non-custodial subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzyfai-sdk\u002FSKILL.md",[],[74,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95],"safe","ethereum","defi","Optimization","user","use","Wallet","base","deposit","withdraw","yield","arbitrum","non-custodial","passive","defi yield","earn","yield optimization",{"skillNo":97,"name":98,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":114,"publishedAt":35},"01M6Q5R337B5JSNER4P4YS03TN","zerion-api","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api\u002FSKILL.md",[101,106,109],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":107,"categoryName":108,"taxonomyType":104,"taxonomyTypeDesc":105},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":110,"categoryName":111,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[115,116,117,118,119,120,121,81,122,85,123,124,125,126,127,128,129,130,131],"api","zerion api","zerion","MCP","mcp server","server","blockchain","transactions","crypto wallet","crypto","evm","solana","query","across","positions","token","prices",{"skillNo":133,"name":134,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":135,"categories":136,"keywords":140,"publishedAt":35},"01M6Q5QZFYTDAZMZ27BN5VZXAR","zerion-api-skill","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-skill\u002FSKILL.md",[137,138,139],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},{"categoryNo":107,"categoryName":108,"taxonomyType":104,"taxonomyTypeDesc":105},{"categoryNo":110,"categoryName":111,"taxonomyType":112,"taxonomyTypeDesc":113},[115,141,142,116,117,118,119,120,121,81,122,85,124,125,126,127,128,129,130,131],"api skill","zerion api skill",{"skillNo":144,"name":145,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":151,"publishedAt":35},"01M6Q5QW17QW98RA3FE45E4RD8","zerion-api-mcp","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-mcp\u002FSKILL.md",[148,149,150],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},{"categoryNo":107,"categoryName":108,"taxonomyType":104,"taxonomyTypeDesc":105},{"categoryNo":110,"categoryName":111,"taxonomyType":112,"taxonomyTypeDesc":113},[118,115,152,116,117,119,120,81,122,85,123,124,125,126,127,128,129,130,131],"zerion api mcp",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":157,"categories":158,"keywords":162,"publishedAt":35},"01M6Q5QQYZB7A501BDEQWKGSJT","yahoo-finance-forex","Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR\u002FUSD, GBP\u002FUSD, USD\u002FJPY, etc.). Analyzes sentiment and provides trading context.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-forex\u002FSKILL.md",[159],{"categoryNo":160,"categoryName":161,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000040","财务",[163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182],"finance","yahoo finance","forex","yahoo","yahoo finance forex","github","https","sentiment","real-time","python3","install","Market","usd","news","time","currency","gbp","pip","market data","for",{"skillNo":184,"name":185,"nameZh":6,"description":186,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":187,"categories":188,"keywords":190,"publishedAt":35},"01M6Q5QM6VS84WZVM7BKXXPF32","yahoo-finance","This skill should be used when the user asks to \"get stock prices\", \"check stock quotes\", \"look up earnings\", \"get financial data\", \"find trending stocks\", or needs stock market data from Yahoo Finance.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-cli\u002FSKILL.md",[189],{"categoryNo":160,"categoryName":161,"taxonomyType":112,"taxonomyTypeDesc":113},[163,164,166,191,192,193,194,195,196,174,197,198,199,200,201,202,203,204,131,181],"cli","homebrew","find","check","brew","up","local","get","stock","link","trending","sf","quotes","ln"]