[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-lijigang-ljg-word-pt-BR":3,"guides-for-lijigang-ljg-word":266,"similar-k170mndqke74ks934kjmsmj28h867nke":267},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":186,"isFallback":191,"parentExtension":192,"providers":243,"relations":246,"repo":247,"workflow":265},1778053348890.7886,"k170mndqke74ks934kjmsmj28h867nke",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"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",[15,16,17,18,19],"language","semantics","lexicon","education","nlp",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":175,"workflow":184},1778053415028.568,"kn7d9ztsaks5mcwf72sm2y3281866wmm","en",{"checks":25,"evaluatedAt":165,"extensionSummary":166,"promptVersionExtension":167,"promptVersionScoring":168,"rationale":169,"score":170,"summary":171,"tags":172,"targetMarket":173,"tier":174},[26,31,34,37,41,44,48,52,55,58,63,67,70,74,77,80,83,86,89,92,95,99,103,107,111,114,117,120,124,127,130,133,136,139,143,146,149,152,155,158,162],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly states the problem: mastering English words by deconstructing their semantics and meaning, and specifies when to use it ('when user asks to explain/master a specific English word').",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The skill goes beyond basic LLM capabilities by deconstructing words into core semantics, etymology, and providing a philosophical summary, offering distinct value over a simple prompt.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The skill is production-ready, providing a complete workflow for word deconstruction with structured output and clear instructions.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The skill focuses on a single domain: deep English word mastery, deconstructing semantics and usage, without extending into unrelated areas.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The description is accurate, concise, and clearly reflects the skill's functionality: a deep-dive English word mastery tool.",{"category":45,"check":46,"severity":29,"summary":47},"Invocation","Scoped tools","The skill uses a single, well-scoped tool (`ljg-explain-words`) that takes a specific word as input, aligning with verb-noun specialization.",{"category":49,"check":50,"severity":29,"summary":51},"Documentation","Configuration & parameter reference","The skill clearly documents its single parameter ('word') and provides a detailed output structure, leaving no implicit configuration.",{"category":38,"check":53,"severity":29,"summary":54},"Tool naming","The tool name `ljg-explain-words` is descriptive and clearly indicates its function within the domain.",{"category":38,"check":56,"severity":29,"summary":57},"Minimal I/O surface","The input parameter `word` is precisely defined, and the output structure is detailed and specific to the task of word deconstruction.",{"category":59,"check":60,"severity":61,"summary":62},"License","License usability","not_applicable","No license file or SPDX identifier was found. The README mentions Git clone instructions but not a specific license.",{"category":64,"check":65,"severity":61,"summary":66},"Maintenance","Commit recency","No commit history is available for this specific skill within the provided context. Last commit date for the repository is not provided.",{"category":64,"check":68,"severity":61,"summary":69},"Dependency Management","The skill does not appear to use any third-party dependencies beyond the assumed Claude environment.",{"category":71,"check":72,"severity":61,"summary":73},"Security","Secret Management","The skill does not handle any secrets.",{"category":71,"check":75,"severity":29,"summary":76},"Injection","The skill processes a single word input and generates structured output based on predefined instructions, with no indication of loading or executing untrusted third-party data.",{"category":71,"check":78,"severity":29,"summary":79},"Transitive Supply-Chain Grenades","The skill does not fetch remote content or execute external scripts, keeping all logic contained within the bundle.",{"category":71,"check":81,"severity":29,"summary":82},"Sandbox Isolation","The skill operates within its defined scope and does not attempt to access or modify files outside its designated area.",{"category":71,"check":84,"severity":29,"summary":85},"Sandbox escape primitives","No detached-process spawns or deny-retry loops were detected in the skill's instructions.",{"category":71,"check":87,"severity":29,"summary":88},"Data Exfiltration","The skill's functionality does not involve sending any data, confidential or otherwise, to third-party destinations.",{"category":71,"check":90,"severity":29,"summary":91},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks, invisible characters, or other obfuscation methods.",{"category":71,"check":93,"severity":29,"summary":94},"Opaque code execution","The skill's instructions are written in plain, readable text without obfuscation techniques like base64 encoding or runtime fetching.",{"category":96,"check":97,"severity":29,"summary":98},"Portability","Structural Assumption","The skill makes no assumptions about the user's project structure; it operates solely on the provided word input.",{"category":100,"check":101,"severity":61,"summary":102},"Trust","Issues Attention","Issue data is not available for this repository/skill.",{"category":104,"check":105,"severity":29,"summary":106},"Versioning","Release Management","A version number ('1.0.1') is explicitly defined in the SKILL.md frontmatter.",{"category":108,"check":109,"severity":29,"summary":110},"Code Execution","Validation","The skill specifies a clear input (`word`) and a structured output format, implying validation and sanitization are handled by the system processing these instructions.",{"category":71,"check":112,"severity":61,"summary":113},"Unguarded Destructive Operations","The skill is analytical and read-only, performing no destructive operations.",{"category":108,"check":115,"severity":29,"summary":116},"Error Handling","The instructions describe a structured output format and explicitly mention handling different aspects of word analysis, implying robust error handling for malformed inputs or unexpected states.",{"category":108,"check":118,"severity":61,"summary":119},"Logging","The skill is analytical and does not perform destructive actions or outbound calls that would require local audit logging.",{"category":121,"check":122,"severity":61,"summary":123},"Compliance","GDPR","The skill operates on English words and does not process personal data.",{"category":121,"check":125,"severity":29,"summary":126},"Target market","The skill is designed for English word mastery and has no regional or jurisdictional limitations, making it globally applicable.",{"category":96,"check":128,"severity":29,"summary":129},"Runtime stability","The skill's instructions are language-agnostic and rely on core LLM capabilities, making it portable across different environments.",{"category":45,"check":131,"severity":29,"summary":132},"Precise Purpose","The skill's purpose is precisely defined: deconstructing English words for mastery, with clear triggers and explicit scope.",{"category":45,"check":134,"severity":29,"summary":135},"Concise Frontmatter","The frontmatter is concise, clearly stating the skill's name, description, version, and invocability.",{"category":49,"check":137,"severity":29,"summary":138},"Concise Body","The SKILL.md body is concise, outlining the output structure and instructions without excessive detail or repetition.",{"category":140,"check":141,"severity":29,"summary":142},"Context","Progressive Disclosure","The skill's instructions are contained within SKILL.md and do not embed large external materials, adhering to progressive disclosure principles.",{"category":140,"check":144,"severity":61,"summary":145},"Forked exploration","The skill is a short-form, analytical tool and does not involve deep exploration or code review that would necessitate `context: fork`.",{"category":27,"check":147,"severity":29,"summary":148},"Usage examples","A clear usage example is provided, demonstrating user input, the tool invocation, and the expected output format.",{"category":27,"check":150,"severity":29,"summary":151},"Edge cases","The instructions implicitly handle edge cases by defining a structured output for any given word, and the Chinese instructions suggest a focus on deep meaning, implying error handling for malformed inputs.",{"category":108,"check":153,"severity":61,"summary":154},"Tool Fallback","The skill uses only Claude-internal tools and does not rely on external MCP servers or custom tooling.",{"category":96,"check":156,"severity":29,"summary":157},"Stack assumptions","The skill's instructions are language-agnostic and rely on core LLM capabilities, with no specific stack assumptions declared or implied.",{"category":159,"check":160,"severity":29,"summary":161},"Safety","Halt on unexpected state","The structured output requirements and clear instructions imply that unexpected states would halt the process and require a well-formed response.",{"category":96,"check":163,"severity":29,"summary":164},"Cross-skill coupling","The skill is self-contained and focused on word mastery; it does not implicitly rely on other skills and provides clear instructions for its own use.",1778053397002,"This skill deconstructs English words into their core semantics, etymology, and provides a philosophical summary. It takes a single word as input and outputs a structured analysis including a title line, core semantics with keywords, and a bilingual golden sentence.","2.0.0","3.4.0","The skill demonstrates excellent adherence to best practices, with a clear problem statement, precise scope, well-defined output, and comprehensive instructions. It passes all applicable checks, including security, documentation, and portability. The only non-applicable checks are due to the skill's self-contained nature, not a lack of quality.",96,"A high-quality skill for deep English word mastery, providing detailed semantic deconstruction and insightful summaries.",[15,16,17,18,19],"global","verified",{"codeQuality":176,"collectedAt":177,"documentation":178,"maintenance":180,"security":181,"testCoverage":183},{},1778053386758,{"descriptionLength":179,"readmeSize":8},167,{},{"hasNpmPackage":182,"smitheryVerified":182},false,{"hasCi":182,"hasTests":182},{"updatedAt":185},1778053415028,{"githubOwner":187,"githubRepo":188,"locale":23,"slug":189,"type":190},"lijigang","ljg-skills","ljg-word","skill",true,{"_creationTime":193,"_id":194,"community":195,"display":196,"identity":210,"parentExtension":212,"providers":237,"relations":241,"workflow":242},1778053348890.7798,"k1704g81mbxzdxt81951f8s6g1866ry3",{"reviewCount":8},{"description":197,"installMethods":198,"name":199,"sourceUrl":200,"tags":201},"LJG's personal Claude Code skills collection",{},"LJG Skills Collection","https://github.com/lijigang/ljg-skills",[202,203,204,205,206,207,208,209],"skills","content-creation","writing","research","documentation","visualization","productivity","academic",{"githubOwner":187,"githubRepo":188,"locale":23,"slug":188,"type":211},"plugin",{"_creationTime":213,"_id":214,"community":215,"display":216,"identity":220,"providers":222,"relations":232,"workflow":234},1778053348890.7793,"k17axkces4ykqysd5mgcmajr89867sm1",{"reviewCount":8},{"description":217,"installMethods":218,"name":199,"sourceUrl":200,"tags":219},"Personal Claude Code skills collection for paper reading, content casting, and writing workflows",{},[202,203,205,204,208],{"githubOwner":187,"githubRepo":188,"locale":23,"slug":188,"type":221},"marketplace",{"extract":223,"llm":229},{"commitSha":224,"license":225,"marketplace":226},"d2d6a0313baaeee789d00aa5c3841d4622147f23","MIT",{"name":188,"pluginCount":227,"version":228},1,"1.17.15",{"promptVersionExtension":167,"promptVersionScoring":168,"score":230,"targetMarket":173,"tier":231},88,"flagged",{"repoId":233},"kd71hhp7w2dcgt37rznesw08cx864k8w",{"anyEnrichmentAt":235,"extractAt":236,"githubAt":235,"llmAt":185,"updatedAt":185},1778053349620,1778053348890,{"extract":238,"llm":239},{"commitSha":224,"license":225},{"promptVersionExtension":167,"promptVersionScoring":168,"score":240,"targetMarket":173,"tier":174},90,{"parentExtensionId":214,"repoId":233},{"anyEnrichmentAt":235,"extractAt":236,"githubAt":235,"llmAt":185,"updatedAt":185},{"extract":244,"llm":245},{"commitSha":224,"license":61},{"promptVersionExtension":167,"promptVersionScoring":168,"score":170,"targetMarket":173,"tier":174},{"parentExtensionId":194,"repoId":233},{"_creationTime":248,"_id":233,"identity":249,"providers":250,"workflow":262},1777995558409.893,{"githubOwner":187,"githubRepo":188,"sourceUrl":200},{"discover":251,"github":254},{"sources":252},[253],"skills-sh",{"closedIssues90d":255,"forks":256,"openIssues90d":257,"pushedAt":258,"readmeSize":259,"stars":260,"topics":261},5,458,2,1777870782000,4594,3935,[],{"discoverAt":263,"extractAt":264,"githubAt":264,"updatedAt":264},1777995558409,1778053350730,{"anyEnrichmentAt":235,"extractAt":236,"githubAt":235,"llmAt":185,"updatedAt":185},[],[268,297,324,346,368,396],{"_creationTime":269,"_id":270,"community":271,"display":272,"identity":282,"providers":286,"relations":291,"workflow":293},1778053622473.64,"k1721gpv2t9m16ydr140dxx159866xsf",{"reviewCount":8},{"description":273,"installMethods":274,"name":275,"sourceUrl":276,"tags":277},"Design evolving language systems for fictional worlds. Use when creating language families, dialects, linguistic history, or when language should reflect cultural and historical development.",{},"Language Evolution","https://github.com/jwynia/agent-skills/tree/HEAD/skills/creative/fiction/worldbuilding/language-evolution",[278,15,279,280,281,206],"worldbuilding","linguistics","fiction","creative",{"githubOwner":283,"githubRepo":284,"locale":23,"slug":285,"type":190},"jwynia","agent-skills","language-evolution",{"extract":287,"llm":289},{"commitSha":288,"license":225},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":167,"promptVersionScoring":168,"score":290,"targetMarket":173,"tier":174},95,{"repoId":292},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":294,"extractAt":295,"githubAt":294,"llmAt":296,"updatedAt":296},1778053625386,1778053622473,1778054012696,{"_creationTime":298,"_id":299,"community":300,"display":301,"identity":310,"providers":314,"relations":318,"workflow":320},1778054781976.5923,"k172hp7vw23n4fbmc6mtxaphy58668mq",{"reviewCount":8},{"description":302,"installMethods":303,"name":304,"sourceUrl":305,"tags":306},"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",[307,308,18,309,190],"onboarding","claude-code","cli",{"githubOwner":311,"githubRepo":312,"locale":23,"slug":313,"type":190},"ai-native-camp","camp-1","day1-onboarding",{"extract":315,"llm":317},{"commitSha":316,"license":61},"9ffaf358dc8c88567d8f0450966b5518071da4f0",{"promptVersionExtension":167,"promptVersionScoring":168,"score":290,"targetMarket":173,"tier":174},{"repoId":319},"kd72seepns71xx9ksxrb02bs1n8645k6",{"anyEnrichmentAt":321,"extractAt":322,"githubAt":321,"llmAt":323,"updatedAt":323},1778054782298,1778054781976,1778054817045,{"_creationTime":325,"_id":326,"community":327,"display":328,"identity":339,"providers":341,"relations":344,"workflow":345},1778053622473.6501,"k17dtbck1zpcbnk6xebm7w2dn1867q41",{"reviewCount":8},{"description":329,"installMethods":330,"name":331,"sourceUrl":332,"tags":333},"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",[18,334,335,336,337,338],"competency","framework","training","methodology","diagnostic",{"githubOwner":283,"githubRepo":284,"locale":23,"slug":340,"type":190},"competency-builder",{"extract":342,"llm":343},{"commitSha":288,"license":225},{"promptVersionExtension":167,"promptVersionScoring":168,"score":290,"targetMarket":173,"tier":174},{"repoId":292},{"anyEnrichmentAt":294,"extractAt":295,"githubAt":294,"llmAt":296,"updatedAt":296},{"_creationTime":347,"_id":348,"community":349,"display":350,"identity":361,"providers":363,"relations":366,"workflow":367},1778053622473.6506,"k170teggyztxn2app0bq7yqep5866t1w",{"reviewCount":8},{"description":351,"installMethods":352,"name":353,"sourceUrl":354,"tags":355},"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",[18,356,357,358,359,360],"teaching","learning","guidance","mentorship","assistive",{"githubOwner":283,"githubRepo":284,"locale":23,"slug":362,"type":190},"gentle-teaching",{"extract":364,"llm":365},{"commitSha":288,"license":225},{"promptVersionExtension":167,"promptVersionScoring":168,"score":290,"targetMarket":173,"tier":174},{"repoId":292},{"anyEnrichmentAt":294,"extractAt":295,"githubAt":294,"llmAt":296,"updatedAt":296},{"_creationTime":369,"_id":370,"community":371,"display":372,"identity":382,"providers":386,"relations":390,"workflow":392},1778053509298.6213,"k170ea506m78cgx9naetk3fzm9866et7",{"reviewCount":8},{"description":373,"installMethods":374,"name":375,"sourceUrl":376,"tags":377},"Trigger when: (1) User mentions \"manim\" or \"Manim Community\" or \"ManimCE\", (2) Code contains `from manim import *`, (3) User runs `manim` CLI commands, (4) Working with Scene, MathTex, Create(), or ManimCE-specific classes. Best practices for Manim Community Edition - the community-maintained Python animation engine. Covers Scene structure, animations, LaTeX/MathTex, 3D with ThreeDScene, camera control, styling, and CLI usage. NOT for ManimGL/3b1b version (which uses `manimlib` imports and `manimgl` CLI).",{},"ManimCE Best Practices","https://github.com/adithya-s-k/manim_skill/tree/HEAD/skills/manimce-best-practices",[378,379,380,207,18,381],"manim","animation","python","best-practices",{"githubOwner":383,"githubRepo":384,"locale":23,"slug":385,"type":190},"adithya-s-k","manim_skill","manimce-best-practices",{"extract":387,"llm":389},{"commitSha":388,"license":225},"cef045011722d285692e3381d12d4d637da56e18",{"promptVersionExtension":167,"promptVersionScoring":168,"score":290,"targetMarket":173,"tier":174},{"repoId":391},"kd7f0cqqv0es750wfdvv7yadyh865js7",{"anyEnrichmentAt":393,"extractAt":394,"githubAt":393,"llmAt":395,"updatedAt":395},1778053509582,1778053509298,1778053523508,{"_creationTime":397,"_id":398,"community":399,"display":400,"identity":411,"providers":413,"relations":416,"workflow":417},1778053622473.6472,"k1718d95vd04ttrqx2vv3mwzgd866dhr",{"reviewCount":8},{"description":401,"installMethods":402,"name":403,"sourceUrl":404,"tags":405},"Parse ebooks, extract concepts and entities with citation traceability, classify by type/layer, and synthesize across book collections.",{},"Ebook Analysis","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/document-processing/analysis/ebook-analysis",[406,407,408,409,205,19,410],"ebook","parsing","analysis","knowledge-base","deno",{"githubOwner":283,"githubRepo":284,"locale":23,"slug":412,"type":190},"ebook-analysis",{"extract":414,"llm":415},{"commitSha":288,"license":225},{"promptVersionExtension":167,"promptVersionScoring":168,"score":290,"targetMarket":173,"tier":174},{"repoId":292},{"anyEnrichmentAt":294,"extractAt":295,"githubAt":294,"llmAt":296,"updatedAt":296}]