[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-sanyuan0704-sigma-nl":3,"guides-for-sanyuan0704-sigma":221,"similar-k1720hz6q5mz6k7amd092atkv9867zc1":222},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":186,"isFallback":191,"parentExtension":192,"providers":193,"relations":198,"repo":200,"workflow":218},1778054741404.876,"k1720hz6q5mz6k7amd092atkv9867zc1",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Personalized 1-on-1 AI tutor using Bloom's 2-Sigma mastery learning. Guides users through any topic with Socratic questioning, adaptive pacing, and rich visual output (HTML dashboards, Excalidraw concept maps, generated images). Use when user wants to learn something, study a topic, understand a concept, requests tutoring, says 'teach me', 'I want to learn', 'explain X to me step by step', 'help me understand', or invokes /sigma. Triggers on: learn, study, teach, tutor, understand, master, explain step by step.",{},"Sigma","https://github.com/sanyuan0704/sanyuan-skills/tree/HEAD/skills/sigma",[15,16,17,18,19],"education","tutoring","learning","mastery-learning","socratic-method",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":175,"workflow":184},1778054758790.5557,"kn75hv5pztccknsedr6c2yk9r9867q66","en",{"checks":25,"evaluatedAt":165,"extensionSummary":166,"promptVersionExtension":167,"promptVersionScoring":168,"rationale":169,"score":170,"summary":171,"tags":172,"targetMarket":173,"tier":174},[26,31,34,37,41,44,48,52,55,58,62,67,71,75,78,81,84,87,90,93,97,101,105,109,113,116,119,122,127,130,133,136,139,142,146,149,152,155,158,162],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly names the user problem: personalized tutoring and mastery learning. It specifies typical user intents and trigger phrases.",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The skill offers a unique approach beyond a simple LLM by implementing Bloom's 2-Sigma mastery learning, Socratic questioning, and adaptive pacing, which are distinct from default LLM behavior.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The skill appears production-ready, covering a complete learning lifecycle from diagnosis to mastery with session persistence and detailed output formats.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The skill focuses on a single, coherent workflow: personalized tutoring using mastery learning principles.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The description is accurate, concise, readable, and accurately reflects the skill's behavior and intended use cases.",{"category":45,"check":46,"severity":29,"summary":47},"Invocation","Scoped tools","The skill uses a single primary tool `/sigma` with arguments, which is appropriate for its conversational and dynamic nature.",{"category":49,"check":50,"severity":29,"summary":51},"Documentation","Configuration & parameter reference","All arguments (`topic`, `--level`, `--lang`, `--resume`, `--visual`) are clearly documented with their purpose and defaults where applicable.",{"category":38,"check":53,"severity":29,"summary":54},"Tool naming","The primary invocation `/sigma` is clear and domain-appropriate, and arguments are descriptive.",{"category":38,"check":56,"severity":29,"summary":57},"Minimal I/O surface","The skill's inputs are structured arguments, and its outputs are well-defined files (HTML, Markdown, Excalidraw) and conversational responses, not unstructured dumps.",{"category":59,"check":60,"severity":29,"summary":61},"License","License usability","The extension is licensed under MIT, a widely usable open-source license, with a clear LICENSE file present.",{"category":63,"check":64,"severity":65,"summary":66},"Maintenance","Commit recency","warning","There are no commits in the last 90 days, indicating potential unmaintenance.",{"category":63,"check":68,"severity":69,"summary":70},"Dependency Management","not_applicable","The skill does not appear to use any 3rd party dependencies that would require explicit management.",{"category":72,"check":73,"severity":69,"summary":74},"Security","Secret Management","The skill does not appear to handle or require any secrets.",{"category":72,"check":76,"severity":29,"summary":77},"Injection","The skill appears to treat all user input as data and does not load untrusted external files as instructions.",{"category":72,"check":79,"severity":29,"summary":80},"Transitive Supply-Chain Grenades","All content and scripts are bundled within the skill directory, and there are no runtime downloads or external script executions.",{"category":72,"check":82,"severity":29,"summary":83},"Sandbox Isolation","The skill operates within its designated output directory and does not appear to modify files outside of its scope.",{"category":72,"check":85,"severity":29,"summary":86},"Sandbox escape primitives","No detached-process spawns or deny-retry loops were detected in the provided scripts.",{"category":72,"check":88,"severity":29,"summary":89},"Data Exfiltration","The skill does not appear to make any undocumented outbound calls or submit confidential data.",{"category":72,"check":91,"severity":29,"summary":92},"Hidden Text Tricks","Bundled files are free of hidden-steering tricks, invisible Unicode, or other obfuscation techniques.",{"category":94,"check":95,"severity":29,"summary":96},"Hooks","Opaque code execution","The bundle includes only plain, readable source code; no obfuscation like base64 payloads or eval() was found.",{"category":98,"check":99,"severity":29,"summary":100},"Portability","Structural Assumption","The skill uses relative paths and creates its own output directory, avoiding assumptions about user project structure.",{"category":102,"check":103,"severity":69,"summary":104},"Trust","Issues Attention","Issue data is not available.",{"category":106,"check":107,"severity":65,"summary":108},"Versioning","Release Management","There is no version information in the manifest files or CHANGELOG, and installation instructions reference 'main', making it difficult to pin a specific version.",{"category":110,"check":111,"severity":29,"summary":112},"Code Execution","Validation","The skill appears to validate and sanitize inputs, and outputs are structured files rather than raw data dumps.",{"category":72,"check":114,"severity":69,"summary":115},"Unguarded Destructive Operations","The skill is primarily analytical and educational, with no destructive operations detected.",{"category":110,"check":117,"severity":29,"summary":118},"Error Handling","The skill's workflow logic and documentation suggest a robust error handling approach, aiming to provide meaningful feedback.",{"category":110,"check":120,"severity":69,"summary":121},"Logging","The skill is read-only in terms of user data interaction and does not perform destructive actions, making local audit logging less critical.",{"category":123,"check":124,"severity":125,"summary":126},"Compliance","GDPR","info","While not submitting personal data to 3rd parties, the skill might submit personal data to the LLM during tutoring without explicit sanitization.",{"category":123,"check":128,"severity":29,"summary":129},"Target market","The skill is designed to be globally applicable and does not exhibit any regional or jurisdictional logic.",{"category":98,"check":131,"severity":29,"summary":132},"Runtime stability","The skill's instructions and file structure do not indicate assumptions about specific editors, shells, or OS environments beyond standard script execution.",{"category":45,"check":134,"severity":29,"summary":135},"Precise Purpose","The description clearly defines the skill's purpose as a personalized tutor using Bloom's 2-Sigma method and provides clear usage examples and triggers.",{"category":45,"check":137,"severity":29,"summary":138},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the core capability and triggers.",{"category":49,"check":140,"severity":29,"summary":141},"Concise Body","The main SKILL.md file is well-structured and avoids excessive length by referencing external documentation for detailed sections.",{"category":143,"check":144,"severity":29,"summary":145},"Context","Progressive Disclosure","Detailed pedagogical information, HTML templates, and Excalidraw guides are appropriately separated into reference files, linked from the main SKILL.md.",{"category":143,"check":147,"severity":69,"summary":148},"Forked exploration","The skill's workflow is primarily conversational and does not involve deep code review or multi-file inspection that would necessitate a forked context.",{"category":27,"check":150,"severity":29,"summary":151},"Usage examples","The README provides clear, ready-to-use examples demonstrating invocation and expected arguments.",{"category":27,"check":153,"severity":29,"summary":154},"Edge cases","The SKILL.md and its references extensively document failure modes, limitations, and recovery paths, such as handling misconceptions and session resumption.",{"category":110,"check":156,"severity":69,"summary":157},"Tool Fallback","The skill does not appear to rely on external tools like an MCP server, as it uses built-in conversational capabilities and file operations.",{"category":159,"check":160,"severity":29,"summary":161},"Safety","Halt on unexpected state","The SKILL.md explicitly instructs to abort and report on unexpected pre-state conditions and details a comprehensive error handling strategy.",{"category":98,"check":163,"severity":29,"summary":164},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills; it only provides cross-links to its own reference files.",1778054758455,"This skill guides users through any topic by decomposing it into atomic concepts, building a visual roadmap, and using a structured tutor loop with Socratic questioning, misconception tracking, and deliberate practice. It saves learner profiles and session states for personalized, persistent learning experiences.","2.0.0","3.4.0","The extension is well-documented, adheres to best practices for scope and security, and implements a unique pedagogical approach. The main areas for improvement are commit recency and versioning information.",88,"A high-quality AI tutor skill that implements Bloom's 2-Sigma mastery learning principles with a focus on Socratic questioning and adaptive pacing.",[15,16,17,18,19],"global","verified",{"codeQuality":176,"collectedAt":177,"documentation":178,"maintenance":180,"security":181,"testCoverage":183},{},1778054743580,{"descriptionLength":179,"readmeSize":8},516,{},{"hasNpmPackage":182,"smitheryVerified":182},false,{"hasCi":182,"hasTests":182},{"updatedAt":185},1778054758790,{"githubOwner":187,"githubRepo":188,"locale":23,"slug":189,"type":190},"sanyuan0704","sanyuan-skills","sigma","skill",true,null,{"extract":194,"llm":197},{"commitSha":195,"license":196},"807460aaa6e23313d9e16c397d100130691083a5","MIT",{"promptVersionExtension":167,"promptVersionScoring":168,"score":170,"targetMarket":173,"tier":174},{"repoId":199},"kd7ehbmfr6fxv4k4d6h65hev89864gmz",{"_creationTime":201,"_id":199,"identity":202,"providers":204,"workflow":215},1777995558409.9053,{"githubOwner":187,"githubRepo":188,"sourceUrl":203},"https://github.com/sanyuan0704/sanyuan-skills",{"discover":205,"github":208},{"sources":206},[207],"skills-sh",{"closedIssues90d":209,"forks":210,"license":196,"openIssues90d":209,"pushedAt":211,"readmeSize":212,"stars":213,"topics":214},4,302,1776143530000,1874,3413,[],{"discoverAt":216,"extractAt":217,"githubAt":217,"updatedAt":217},1777995558409,1778054742229,{"anyEnrichmentAt":219,"extractAt":220,"githubAt":219,"llmAt":185,"updatedAt":185},1778054741686,1778054741404,[],[223,252,282,309,339,366],{"_creationTime":224,"_id":225,"community":226,"display":227,"identity":237,"providers":241,"relations":246,"workflow":248},1778053622473.6506,"k170teggyztxn2app0bq7yqep5866t1w",{"reviewCount":8},{"description":228,"installMethods":229,"name":230,"sourceUrl":231,"tags":232},"Guide AI-assisted learning that empowers learners while maintaining appropriate boundaries. Use when teaching, explaining concepts, or helping someone who is struggling to understand.",{},"Gentle Teaching Framework","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/education/gentle-teaching",[15,233,17,234,235,236],"teaching","guidance","mentorship","assistive",{"githubOwner":238,"githubRepo":239,"locale":23,"slug":240,"type":190},"jwynia","agent-skills","gentle-teaching",{"extract":242,"llm":244},{"commitSha":243,"license":196},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":167,"promptVersionScoring":168,"score":245,"targetMarket":173,"tier":174},95,{"repoId":247},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":249,"extractAt":250,"githubAt":249,"llmAt":251,"updatedAt":251},1778053625386,1778053622473,1778054012696,{"_creationTime":253,"_id":254,"community":255,"display":256,"identity":268,"providers":271,"relations":276,"workflow":278},1778054812528.7205,"k179w7m3n2zkvrbhmmwn1stces86799q",{"reviewCount":8},{"description":257,"installMethods":258,"name":259,"sourceUrl":260,"tags":261},"3D web graphics with Three.js (WebGL/WebGPU). Capabilities: scenes, cameras, geometries, materials, lights, animations, model loading (GLTF/FBX), PBR materials, shadows, post-processing (bloom, SSAO, SSR), custom shaders, instancing, LOD, physics, VR/XR. Actions: create, build, animate, render 3D scenes/models. Keywords: Three.js, WebGL, WebGPU, 3D graphics, scene, camera, geometry, material, light, animation, GLTF, FBX, OrbitControls, PBR, shadow mapping, post-processing, bloom, SSAO, shader, instancing, LOD, WebXR, VR, AR, product configurator, data visualization, architectural walkthrough, interactive 3D, canvas. Use when: creating 3D visualizations, building WebGL/WebGPU apps, loading 3D models, adding animations, implementing VR/XR, creating interactive graphics, building product configurators.",{},"3D Graphics with Three.js","https://github.com/samhvw8/dot-claude/tree/HEAD/skills/3d-graphics",[262,263,264,265,266,17,267],"three-js","webgl","webgpu","3d-graphics","documentation","examples",{"githubOwner":269,"githubRepo":270,"locale":23,"slug":265,"type":190},"samhvw8","dot-claude",{"extract":272,"llm":274},{"commitSha":273,"license":196},"28c76162116d2eedab131c0e1548fdc76a2999f7",{"promptVersionExtension":167,"promptVersionScoring":168,"score":275,"targetMarket":173,"tier":174},98,{"repoId":277},"kd79ad9dpqazy79y2s6rvajgjn865xek",{"anyEnrichmentAt":279,"extractAt":280,"githubAt":279,"llmAt":281,"updatedAt":281},1778054813688,1778054812528,1778054896678,{"_creationTime":283,"_id":284,"community":285,"display":286,"identity":296,"providers":299,"relations":303,"workflow":305},1778054617416.4724,"k171wbhkefsa1s7m82mat9azn9867e51",{"reviewCount":8},{"description":287,"installMethods":288,"name":289,"sourceUrl":290,"tags":291},"自动捕获经验并安全进化的技能。触发条件：(1)命令/操作失败时→记ERRORS.md (2)被用户纠正('不对'/'应该是')时→记LEARNINGS.md (3)用户需要不存在的能力时→记FEATURE_REQUESTS.md (4)外部API/工具出错时→记ERRORS.md (5)发现自己知识过时/错误时→记LEARNINGS.md (6)发现更好做法时→记LEARNINGS.md (7)每个任务完成时→回顾过程，有新经验则记LEARNINGS.md。去重原则：如果没有新经验或已有条目已覆盖则跳过不写。每次写入同时在.learnings/CHANGELOG.md追加JSONL日志。经验反复出现≥3次时晋升到AGENTS.md/TOOLS.md/SOUL.md。详见正文。",{},"Proactive Self-Improving Agent","https://github.com/yanhongxi-openclaw/proactive-self-improving-agent",[292,17,293,294,295],"agent","self-improvement","logging","experience-capture",{"githubOwner":297,"githubRepo":298,"locale":23,"slug":298,"type":190},"yanhongxi-openclaw","proactive-self-improving-agent",{"extract":300,"llm":302},{"commitSha":301,"license":196},"5af957709186392fb9892382d0ffb26e8095ad65",{"promptVersionExtension":167,"promptVersionScoring":168,"score":275,"targetMarket":173,"tier":174},{"repoId":304},"kd78yyb7ypqjg4av4r3p0feyfd864sdm",{"anyEnrichmentAt":306,"extractAt":307,"githubAt":306,"llmAt":308,"updatedAt":308},1778054617695,1778054617416,1778054631760,{"_creationTime":310,"_id":311,"community":312,"display":313,"identity":323,"providers":327,"relations":332,"workflow":335},1778053348890.7886,"k170mndqke74ks934kjmsmj28h867nke",{"reviewCount":8},{"description":314,"installMethods":315,"name":316,"sourceUrl":317,"tags":318},"Deep-dive English word mastery tool. Deconstructs a single English word into core semantics and epiphany. Use when user asks to explain/master a specific English word.",{},"Word Mastery Tool","https://github.com/lijigang/ljg-skills/tree/HEAD/skills/ljg-word",[319,320,321,15,322],"language","semantics","lexicon","nlp",{"githubOwner":324,"githubRepo":325,"locale":23,"slug":326,"type":190},"lijigang","ljg-skills","ljg-word",{"extract":328,"llm":330},{"commitSha":329,"license":69},"d2d6a0313baaeee789d00aa5c3841d4622147f23",{"promptVersionExtension":167,"promptVersionScoring":168,"score":331,"targetMarket":173,"tier":174},96,{"parentExtensionId":333,"repoId":334},"k1704g81mbxzdxt81951f8s6g1866ry3","kd71hhp7w2dcgt37rznesw08cx864k8w",{"anyEnrichmentAt":336,"extractAt":337,"githubAt":336,"llmAt":338,"updatedAt":338},1778053349620,1778053348890,1778053415028,{"_creationTime":340,"_id":341,"community":342,"display":343,"identity":352,"providers":356,"relations":360,"workflow":362},1778054781976.5923,"k172hp7vw23n4fbmc6mtxaphy58668mq",{"reviewCount":8},{"description":344,"installMethods":345,"name":346,"sourceUrl":347,"tags":348},"AI Native Camp Day 1 온보딩. Claude와 대화하면서 Claude Code를 익힌다. \"1일차\", \"Day 1\", \"온보딩\" 요청에 사용.",{},"AI Native Camp Day 1 Onboarding","https://github.com/ai-native-camp/camp-1/tree/HEAD/.agents/skills/day1-onboarding",[349,350,15,351,190],"onboarding","claude-code","cli",{"githubOwner":353,"githubRepo":354,"locale":23,"slug":355,"type":190},"ai-native-camp","camp-1","day1-onboarding",{"extract":357,"llm":359},{"commitSha":358,"license":69},"9ffaf358dc8c88567d8f0450966b5518071da4f0",{"promptVersionExtension":167,"promptVersionScoring":168,"score":245,"targetMarket":173,"tier":174},{"repoId":361},"kd72seepns71xx9ksxrb02bs1n8645k6",{"anyEnrichmentAt":363,"extractAt":364,"githubAt":363,"llmAt":365,"updatedAt":365},1778054782298,1778054781976,1778054817045,{"_creationTime":367,"_id":368,"community":369,"display":370,"identity":381,"providers":383,"relations":386,"workflow":387},1778053622473.6501,"k17dtbck1zpcbnk6xebm7w2dn1867q41",{"reviewCount":8},{"description":371,"installMethods":372,"name":373,"sourceUrl":374,"tags":375},"Guide competency framework development and operation. Use when building training that produces capability, when existing training doesn't produce competence, when structuring knowledge for multiple audiences, or when setting up feedback loops to surface gaps.",{},"Competency Builder Skill","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/education/competency",[15,376,377,378,379,380],"competency","framework","training","methodology","diagnostic",{"githubOwner":238,"githubRepo":239,"locale":23,"slug":382,"type":190},"competency-builder",{"extract":384,"llm":385},{"commitSha":243,"license":196},{"promptVersionExtension":167,"promptVersionScoring":168,"score":245,"targetMarket":173,"tier":174},{"repoId":247},{"anyEnrichmentAt":249,"extractAt":250,"githubAt":249,"llmAt":251,"updatedAt":251}]