{ "schemaVersion": "1.0", "item": { "slug": "learn-cog", "name": "learn-cog", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/nitishgargiitd/learn-cog", "canonicalUrl": "https://clawhub.ai/nitishgargiitd/learn-cog", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/learn-cog", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=learn-cog", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.md" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run." } ] }, "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-07T17:22:31.273Z", "expiresAt": "2026-05-14T17:22:31.273Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentDisposition": "attachment; filename=\"afrexai-annual-report-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/learn-cog" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/learn-cog", "agentPageUrl": "https://openagent3.xyz/skills/learn-cog/agent", "manifestUrl": "https://openagent3.xyz/skills/learn-cog/agent.json", "briefUrl": "https://openagent3.xyz/skills/learn-cog/agent.md" }, "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Learn Cog - The Tutor That Explains Five Different Ways", "body": "The best tutors explain the same concept five different ways. CellCog does too.\n\n#1 on DeepResearch Bench (Feb 2026) for reasoning depth — deep enough to break concepts into first principles — combined with multi-modal output for every learning style: diagrams, analogies, worked examples, practice problems, interactive explanations, and full study guides. Any subject, any level." }, { "title": "Prerequisites", "body": "This skill requires the cellcog skill for SDK setup and API calls.\n\nclawhub install cellcog\n\nRead the cellcog skill first for SDK setup. This skill shows you what's possible.\n\nQuick pattern (v1.0+):\n\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" }, { "title": "Concept Explanations", "body": "Understand anything:\n\nBreak It Down: \"Explain quantum entanglement like I'm 10 years old\"\nMultiple Angles: \"Explain recursion using 3 different analogies\"\nDeep Dives: \"Give me a comprehensive explanation of how neural networks learn\"\nVisual Learning: \"Create a diagram explaining the water cycle\"\n\nExample prompt:\n\n\"Explain blockchain technology:\nLevel: Complete beginner, no tech background\nInclude:\n\nSimple analogy to start\nHow transactions work\nWhy it's secure\nReal-world examples\nCommon misconceptions\n\nUse simple language, avoid jargon. Include a visual diagram.\"" }, { "title": "Homework & Problem Solving", "body": "Work through problems:\n\nMath Problems: \"Solve this calculus problem and explain each step\"\nScience Questions: \"Help me understand this physics concept and solve these problems\"\nEssay Help: \"Help me structure an essay on the causes of World War I\"\nCode Debugging: \"Explain why my code isn't working and help me fix it\"\n\nExample prompt:\n\n\"Help me understand this math problem:\nProblem: Find the derivative of f(x) = x³sin(x)\nI know basic derivatives but I'm confused about the product rule.\nPlease:\n\nRemind me of the product rule\nApply it step by step\nGive me 2 similar problems to practice\nShow me how to check my answer\"" }, { "title": "Study Materials", "body": "Prepare for success:\n\nStudy Guides: \"Create a study guide for AP Chemistry exam\"\nFlashcards: \"Generate 50 flashcards for Spanish vocabulary\"\nPractice Tests: \"Create a practice quiz on US History 1900-1950\"\nSummary Notes: \"Summarize Chapter 5 of my biology textbook\"\nCheat Sheets: \"Create a one-page reference for Python syntax\"\n\nExample prompt:\n\n\"Create a comprehensive study guide for the AWS Solutions Architect exam:\nCover:\n\nKey services and when to use them\nNetworking concepts\nSecurity best practices\nCost optimization strategies\n\nFormat: Clear sections, bullet points, diagrams where helpful\nInclude: Practice questions after each section\"" }, { "title": "Coding & Tech Learning", "body": "Level up your skills:\n\nLanguage Learning: \"Teach me Python from zero to building a web app\"\nCode Review: \"Review my code and explain how to improve it\"\nProject Tutorials: \"Walk me through building a REST API step by step\"\nConcept Deep Dives: \"Explain how Docker containers actually work\"\n\nExample prompt:\n\n\"Teach me React hooks:\nMy level: I know basic JavaScript and HTML/CSS, never used React\nStructure:\n\nWhat problem do hooks solve?\nuseState with simple examples\nuseEffect with practical use cases\nWhen to use which hook\nA mini-project putting it together\n\nInclude code examples I can run.\"" }, { "title": "Language Learning", "body": "Master new languages:\n\nGrammar Explanations: \"Explain Japanese particles with examples\"\nConversation Practice: \"Practice ordering food in French\"\nWriting Feedback: \"Check my Spanish essay and explain my mistakes\"\nVocabulary Building: \"Teach me 20 essential business Chinese phrases\"" }, { "title": "Learning Styles", "body": "Tell CellCog how you learn best:\n\nStyleAsk ForVisualDiagrams, charts, infographicsExamplesMultiple worked examples, real-world applicationsAnalogiesComparisons to familiar conceptsStep-by-StepDetailed breakdowns, numbered proceduresBig PictureOverview first, then detailsHands-OnPractice problems, projects" }, { "title": "Subjects", "body": "CellCog can help with virtually any subject:\n\nSTEM:\n\nMathematics (all levels through advanced calculus and beyond)\nPhysics, Chemistry, Biology\nComputer Science and Programming\nStatistics and Data Science\nEngineering concepts\n\nHumanities:\n\nHistory and Social Studies\nLiterature and Writing\nPhilosophy\nLanguages\nPsychology\n\nProfessional:\n\nBusiness and Finance\nMarketing\nProject Management\nDesign\nLegal concepts\n\nTech Skills:\n\nProgramming languages\nCloud platforms (AWS, GCP, Azure)\nDevOps and infrastructure\nData engineering\nAI/ML concepts" }, { "title": "Chat Mode for Learning", "body": "ScenarioRecommended ModeHomework help, concept explanations, practice problems\"agent\"Comprehensive study guides, full curriculum design, deep research\"agent team\"\n\nUse \"agent\" for most learning. Quick explanations, homework help, and study materials execute well in agent mode.\n\nUse \"agent team\" for comprehensive learning - full course outlines, research papers, or when you need multi-source synthesis." }, { "title": "Example Prompts", "body": "Concept explanation:\n\n\"Explain the concept of recursion in programming:\nMy level: Beginner programmer, comfortable with loops\nI need:\n\nClear definition\nVisual representation\n3 progressively harder examples (factorial, fibonacci, tree traversal)\nCommon mistakes to avoid\nWhen to use recursion vs iteration\n\nLanguage: Python\"\n\nExam prep:\n\n\"Create a study plan for the GRE:\nTimeline: 2 months\nGoal: 320+ score\nWeak areas: Vocabulary and geometry\nInclude:\n\nWeekly schedule\nResources to use\nPractice test strategy\nDay-before checklist\n\nMake it realistic for someone working full-time.\"\n\nLanguage practice:\n\n\"Help me practice Japanese:\nLevel: JLPT N4\nFocus: Conversational situations\nCreate a dialogue practice:\n\nScenario: Asking for directions in Tokyo\nInclude vocabulary list\nGrammar points used\nCultural notes\nVariations to practice\n\nUse romaji and kanji with hiragana readings.\"" }, { "title": "Tips for Better Learning", "body": "State your level: \"Complete beginner\" vs \"I understand the basics\" changes everything.\n\n\nAsk why: Don't just ask for answers. Ask for explanations of the reasoning.\n\n\nRequest practice: Learning happens through doing. Ask for practice problems.\n\n\nAdmit confusion: \"I don't understand the part where...\" helps CellCog target explanations.\n\n\nBuild on previous: Reference what you already understand to get appropriate explanations.\n\n\nActive recall: Ask CellCog to quiz you, not just explain. Testing improves retention." } ], "body": "Learn Cog - The Tutor That Explains Five Different Ways\n\nThe best tutors explain the same concept five different ways. CellCog does too.\n\n#1 on DeepResearch Bench (Feb 2026) for reasoning depth — deep enough to break concepts into first principles — combined with multi-modal output for every learning style: diagrams, analogies, worked examples, practice problems, interactive explanations, and full study guides. Any subject, any level.\n\nPrerequisites\n\nThis skill requires the cellcog skill for SDK setup and API calls.\n\nclawhub install cellcog\n\n\nRead the cellcog skill first for SDK setup. This skill shows you what's possible.\n\nQuick pattern (v1.0+):\n\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\nHow Learn-Cog Helps\nConcept Explanations\n\nUnderstand anything:\n\nBreak It Down: \"Explain quantum entanglement like I'm 10 years old\"\nMultiple Angles: \"Explain recursion using 3 different analogies\"\nDeep Dives: \"Give me a comprehensive explanation of how neural networks learn\"\nVisual Learning: \"Create a diagram explaining the water cycle\"\n\nExample prompt:\n\n\"Explain blockchain technology:\n\nLevel: Complete beginner, no tech background\n\nInclude:\n\nSimple analogy to start\nHow transactions work\nWhy it's secure\nReal-world examples\nCommon misconceptions\n\nUse simple language, avoid jargon. Include a visual diagram.\"\n\nHomework & Problem Solving\n\nWork through problems:\n\nMath Problems: \"Solve this calculus problem and explain each step\"\nScience Questions: \"Help me understand this physics concept and solve these problems\"\nEssay Help: \"Help me structure an essay on the causes of World War I\"\nCode Debugging: \"Explain why my code isn't working and help me fix it\"\n\nExample prompt:\n\n\"Help me understand this math problem:\n\nProblem: Find the derivative of f(x) = x³sin(x)\n\nI know basic derivatives but I'm confused about the product rule.\n\nPlease:\n\nRemind me of the product rule\nApply it step by step\nGive me 2 similar problems to practice\nShow me how to check my answer\"\nStudy Materials\n\nPrepare for success:\n\nStudy Guides: \"Create a study guide for AP Chemistry exam\"\nFlashcards: \"Generate 50 flashcards for Spanish vocabulary\"\nPractice Tests: \"Create a practice quiz on US History 1900-1950\"\nSummary Notes: \"Summarize Chapter 5 of my biology textbook\"\nCheat Sheets: \"Create a one-page reference for Python syntax\"\n\nExample prompt:\n\n\"Create a comprehensive study guide for the AWS Solutions Architect exam:\n\nCover:\n\nKey services and when to use them\nNetworking concepts\nSecurity best practices\nCost optimization strategies\n\nFormat: Clear sections, bullet points, diagrams where helpful Include: Practice questions after each section\"\n\nCoding & Tech Learning\n\nLevel up your skills:\n\nLanguage Learning: \"Teach me Python from zero to building a web app\"\nCode Review: \"Review my code and explain how to improve it\"\nProject Tutorials: \"Walk me through building a REST API step by step\"\nConcept Deep Dives: \"Explain how Docker containers actually work\"\n\nExample prompt:\n\n\"Teach me React hooks:\n\nMy level: I know basic JavaScript and HTML/CSS, never used React\n\nStructure:\n\nWhat problem do hooks solve?\nuseState with simple examples\nuseEffect with practical use cases\nWhen to use which hook\nA mini-project putting it together\n\nInclude code examples I can run.\"\n\nLanguage Learning\n\nMaster new languages:\n\nGrammar Explanations: \"Explain Japanese particles with examples\"\nConversation Practice: \"Practice ordering food in French\"\nWriting Feedback: \"Check my Spanish essay and explain my mistakes\"\nVocabulary Building: \"Teach me 20 essential business Chinese phrases\"\nLearning Styles\n\nTell CellCog how you learn best:\n\nStyle\tAsk For\nVisual\tDiagrams, charts, infographics\nExamples\tMultiple worked examples, real-world applications\nAnalogies\tComparisons to familiar concepts\nStep-by-Step\tDetailed breakdowns, numbered procedures\nBig Picture\tOverview first, then details\nHands-On\tPractice problems, projects\nSubjects\n\nCellCog can help with virtually any subject:\n\nSTEM:\n\nMathematics (all levels through advanced calculus and beyond)\nPhysics, Chemistry, Biology\nComputer Science and Programming\nStatistics and Data Science\nEngineering concepts\n\nHumanities:\n\nHistory and Social Studies\nLiterature and Writing\nPhilosophy\nLanguages\nPsychology\n\nProfessional:\n\nBusiness and Finance\nMarketing\nProject Management\nDesign\nLegal concepts\n\nTech Skills:\n\nProgramming languages\nCloud platforms (AWS, GCP, Azure)\nDevOps and infrastructure\nData engineering\nAI/ML concepts\nChat Mode for Learning\nScenario\tRecommended Mode\nHomework help, concept explanations, practice problems\t\"agent\"\nComprehensive study guides, full curriculum design, deep research\t\"agent team\"\n\nUse \"agent\" for most learning. Quick explanations, homework help, and study materials execute well in agent mode.\n\nUse \"agent team\" for comprehensive learning - full course outlines, research papers, or when you need multi-source synthesis.\n\nExample Prompts\n\nConcept explanation:\n\n\"Explain the concept of recursion in programming:\n\nMy level: Beginner programmer, comfortable with loops\n\nI need:\n\nClear definition\nVisual representation\n3 progressively harder examples (factorial, fibonacci, tree traversal)\nCommon mistakes to avoid\nWhen to use recursion vs iteration\n\nLanguage: Python\"\n\nExam prep:\n\n\"Create a study plan for the GRE:\n\nTimeline: 2 months Goal: 320+ score Weak areas: Vocabulary and geometry\n\nInclude:\n\nWeekly schedule\nResources to use\nPractice test strategy\nDay-before checklist\n\nMake it realistic for someone working full-time.\"\n\nLanguage practice:\n\n\"Help me practice Japanese:\n\nLevel: JLPT N4 Focus: Conversational situations\n\nCreate a dialogue practice:\n\nScenario: Asking for directions in Tokyo\nInclude vocabulary list\nGrammar points used\nCultural notes\nVariations to practice\n\nUse romaji and kanji with hiragana readings.\"\n\nTips for Better Learning\n\nState your level: \"Complete beginner\" vs \"I understand the basics\" changes everything.\n\nAsk why: Don't just ask for answers. Ask for explanations of the reasoning.\n\nRequest practice: Learning happens through doing. Ask for practice problems.\n\nAdmit confusion: \"I don't understand the part where...\" helps CellCog target explanations.\n\nBuild on previous: Reference what you already understand to get appropriate explanations.\n\nActive recall: Ask CellCog to quiz you, not just explain. Testing improves retention." }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/nitishgargiitd/learn-cog", "publisherUrl": "https://clawhub.ai/nitishgargiitd/learn-cog", "owner": "nitishgargiitd", "version": "1.0.2", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/learn-cog", "downloadUrl": "https://openagent3.xyz/downloads/learn-cog", "agentUrl": "https://openagent3.xyz/skills/learn-cog/agent", "manifestUrl": "https://openagent3.xyz/skills/learn-cog/agent.json", "briefUrl": "https://openagent3.xyz/skills/learn-cog/agent.md" } }