[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-lijigang-ljg-word-flow-pt-BR":3,"guides-for-lijigang-ljg-word-flow":261,"similar-k171w96symaf93qqkng7e21dzh867pzn":262},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":182,"isFallback":186,"parentExtension":187,"providers":238,"relations":241,"repo":242,"workflow":260},1778053348890.789,"k171w96symaf93qqkng7e21dzh867pzn",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Word flow: deep-dive word analysis + infograph card in one go. Takes one or more English words, runs ljg-word (generates deep semantics analysis) then ljg-card -i (generates infograph PNG). Use when user says '词卡', 'word card', 'word flow', or provides English words wanting both analysis and visual card.",{},"ljg-word-flow","https://github.com/lijigang/ljg-skills/tree/HEAD/skills/ljg-word-flow",[15,16,17,18,19],"word-analysis","infographic","nlp","content-generation","tool-integration",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":171,"workflow":180},1778053415028.578,"kn722dpqjrnvadsh0xsep3npbs866c4f","en",{"checks":25,"evaluatedAt":161,"extensionSummary":162,"promptVersionExtension":163,"promptVersionScoring":164,"rationale":165,"score":166,"summary":167,"tags":168,"targetMarket":169,"tier":170},[26,31,34,37,41,44,48,52,55,58,63,67,71,74,77,80,83,86,89,93,97,101,105,109,112,115,119,123,126,129,132,135,138,142,145,148,151,154,158],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly states the problem of needing a deep-dive word analysis and an infographic card, and names specific trigger phrases and user intents.",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The extension offers a unique workflow combining 'ljg-word' for semantic analysis and 'ljg-card -i' for infographic generation, which is a specific value beyond default LLM capabilities.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The skill provides a complete workflow for word analysis and infographic generation, including clear steps and expected outputs.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The extension focuses on a single, well-defined workflow: analyzing English words and generating infographic cards.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The displayed description accurately reflects the extension's functionality, clearly outlining its purpose and usage.",{"category":45,"check":46,"severity":29,"summary":47},"Invocation","Scoped tools","The extension uses specific tools ('ljg-word' and 'ljg-card -i') for distinct verb-noun actions, which is good practice.",{"category":49,"check":50,"severity":29,"summary":51},"Documentation","Configuration & parameter reference","Parameters are clearly documented as 'one or more English words, space separated', with examples provided.",{"category":38,"check":53,"severity":29,"summary":54},"Tool naming","The tools used ('ljg-word', 'ljg-card -i') are descriptively named and relevant to the domain.",{"category":38,"check":56,"severity":29,"summary":57},"Minimal I/O surface","The input is specified as English words, and the output is described as Markdown results and PNG files, indicating a focused I/O surface.",{"category":59,"check":60,"severity":61,"summary":62},"License","License usability","not_applicable","No explicit license file or SPDX identifier was found in the repository for this extension.",{"category":64,"check":65,"severity":61,"summary":66},"Maintenance","Commit recency","The repository's default branch has no commit history, making it impossible to determine recency. The commit hash provided is d2d6a0313baaeee789d00aa5c3841d4622147f23.",{"category":68,"check":69,"severity":61,"summary":70},"Security","Secret Management","This skill does not appear to handle any secrets.",{"category":68,"check":72,"severity":29,"summary":73},"Injection","The skill processes input words and calls other tools; there is no indication of loading untrusted third-party data that could be executed.",{"category":68,"check":75,"severity":29,"summary":76},"Transitive Supply-Chain Grenades","The skill does not fetch remote content or execute external scripts; all operations are internal to the provided tools.",{"category":68,"check":78,"severity":29,"summary":79},"Sandbox Isolation","The skill operates on provided words and calls internal tools, with outputs directed to known locations ('~/Downloads/'); no indications of tampering with files outside its scope.",{"category":68,"check":81,"severity":29,"summary":82},"Sandbox escape primitives","No detached process spawns or retry loops around denied tool calls were detected.",{"category":68,"check":84,"severity":29,"summary":85},"Data Exfiltration","The skill processes words and generates files locally, with no outbound network calls described or implied.",{"category":68,"check":87,"severity":29,"summary":88},"Hidden Text Tricks","The bundled files are free of hidden steering tricks, comments, or invisible characters.",{"category":90,"check":91,"severity":29,"summary":92},"Hooks","Opaque code execution","The skill's logic is described in plain Markdown and calls other tools directly; there is no obfuscated code, base64 payloads, or runtime script fetching.",{"category":94,"check":95,"severity":29,"summary":96},"Portability","Structural Assumption","The skill assumes English words as input and writes to `~/Downloads/`; these are standard and unlikely to cause issues.",{"category":98,"check":99,"severity":61,"summary":100},"Trust","Issues Attention","Issue data is not available for this repository.",{"category":102,"check":103,"severity":29,"summary":104},"Versioning","Release Management","A version ('1.0.1') is declared in the SKILL.md frontmatter.",{"category":106,"check":107,"severity":29,"summary":108},"Code Execution","Validation","Input is described as English words, and the workflow implies validation through tool calls. Output is specified as Markdown and PNG.",{"category":68,"check":110,"severity":61,"summary":111},"Unguarded Destructive Operations","The skill's primary action is generating files, not destructive operations.",{"category":106,"check":113,"severity":29,"summary":114},"Error Handling","The skill outlines a clear process with sequential steps (A then B) and parallelization for multiple words, implying structured error handling if steps fail.",{"category":106,"check":116,"severity":117,"summary":118},"Logging","warning","There is no explicit mention of a local audit file for logging actions, outcomes, or errors, which is a missed opportunity for transparency.",{"category":120,"check":121,"severity":61,"summary":122},"Compliance","GDPR","The skill processes English words and generates local files; it does not handle personal data.",{"category":120,"check":124,"severity":29,"summary":125},"Target market","The skill operates on English words and generates local files, with no regional or jurisdictional limitations detected; targetMarket is global.",{"category":94,"check":127,"severity":29,"summary":128},"Runtime stability","The skill relies on standard tools and file operations, with no specific OS or runtime assumptions beyond what a typical Claude Code environment would provide.",{"category":45,"check":130,"severity":29,"summary":131},"Precise Purpose","The skill's purpose (word analysis and infographic card generation) and usage triggers ('词卡', 'word card', 'word flow', English words) are clearly stated.",{"category":45,"check":133,"severity":29,"summary":134},"Concise Frontmatter","The frontmatter is concise, clearly stating the skill's name, description, and version, with an adequate summary of its core capability.",{"category":49,"check":136,"severity":29,"summary":137},"Concise Body","The SKILL.md body is well-structured and concise, under 500 lines, and details the workflow clearly.",{"category":139,"check":140,"severity":61,"summary":141},"Context","Progressive Disclosure","The skill's procedure is straightforward and does not require complex sub-tasks that would necessitate progressive disclosure into separate files.",{"category":139,"check":143,"severity":61,"summary":144},"Forked exploration","This skill is not an exploration-heavy task and does not require 'context: fork'.",{"category":27,"check":146,"severity":29,"summary":147},"Usage examples","The SKILL.md provides clear, ready-to-use examples of how to invoke the skill with single and multiple words.",{"category":27,"check":149,"severity":29,"summary":150},"Edge cases","The skill implicitly handles multiple words through parallelization and explicitly states constraints like sequential processing (A then B) and the quality standards of underlying tools.",{"category":106,"check":152,"severity":61,"summary":153},"Tool Fallback","The skill only calls internal Claude tools ('ljg-word', 'ljg-card') and does not rely on external MCP servers or custom tooling with fallbacks.",{"category":155,"check":156,"severity":29,"summary":157},"Safety","Halt on unexpected state","The workflow implies a sequential and parallel execution model, suggesting that if a step fails, the process would halt and report an error.",{"category":94,"check":159,"severity":29,"summary":160},"Cross-skill coupling","The skill is self-contained, relying only on its own defined tools ('ljg-word', 'ljg-card') and does not implicitly depend on other skills.",1778053414008,"This skill takes one or more English words, analyzes them using `ljg-word` for deep semantic understanding, and then generates an infographic PNG using `ljg-card -i`. It supports parallel processing for multiple words and saves output files to the user's Downloads folder.","2.0.0","3.4.0","This skill is well-documented, provides clear usage examples, and has a focused scope. The primary area for improvement is the lack of explicit logging for actions and outcomes.",95,"A well-documented and focused skill for performing deep-dive word analysis and generating infographic cards.",[15,16,17,18,19],"global","verified",{"codeQuality":172,"collectedAt":173,"documentation":174,"maintenance":176,"security":177,"testCoverage":179},{},1778053402961,{"descriptionLength":175,"readmeSize":8},305,{},{"hasNpmPackage":178,"smitheryVerified":178},false,{"hasCi":178,"hasTests":178},{"updatedAt":181},1778053415028,{"githubOwner":183,"githubRepo":184,"locale":23,"slug":12,"type":185},"lijigang","ljg-skills","skill",true,{"_creationTime":188,"_id":189,"community":190,"display":191,"identity":205,"parentExtension":207,"providers":232,"relations":236,"workflow":237},1778053348890.7798,"k1704g81mbxzdxt81951f8s6g1866ry3",{"reviewCount":8},{"description":192,"installMethods":193,"name":194,"sourceUrl":195,"tags":196},"LJG's personal Claude Code skills collection",{},"LJG Skills Collection","https://github.com/lijigang/ljg-skills",[197,198,199,200,201,202,203,204],"skills","content-creation","writing","research","documentation","visualization","productivity","academic",{"githubOwner":183,"githubRepo":184,"locale":23,"slug":184,"type":206},"plugin",{"_creationTime":208,"_id":209,"community":210,"display":211,"identity":215,"providers":217,"relations":227,"workflow":229},1778053348890.7793,"k17axkces4ykqysd5mgcmajr89867sm1",{"reviewCount":8},{"description":212,"installMethods":213,"name":194,"sourceUrl":195,"tags":214},"Personal Claude Code skills collection for paper reading, content casting, and writing workflows",{},[197,198,200,199,203],{"githubOwner":183,"githubRepo":184,"locale":23,"slug":184,"type":216},"marketplace",{"extract":218,"llm":224},{"commitSha":219,"license":220,"marketplace":221},"d2d6a0313baaeee789d00aa5c3841d4622147f23","MIT",{"name":184,"pluginCount":222,"version":223},1,"1.17.15",{"promptVersionExtension":163,"promptVersionScoring":164,"score":225,"targetMarket":169,"tier":226},88,"flagged",{"repoId":228},"kd71hhp7w2dcgt37rznesw08cx864k8w",{"anyEnrichmentAt":230,"extractAt":231,"githubAt":230,"llmAt":181,"updatedAt":181},1778053349620,1778053348890,{"extract":233,"llm":234},{"commitSha":219,"license":220},{"promptVersionExtension":163,"promptVersionScoring":164,"score":235,"targetMarket":169,"tier":170},90,{"parentExtensionId":209,"repoId":228},{"anyEnrichmentAt":230,"extractAt":231,"githubAt":230,"llmAt":181,"updatedAt":181},{"extract":239,"llm":240},{"commitSha":219,"license":61},{"promptVersionExtension":163,"promptVersionScoring":164,"score":166,"targetMarket":169,"tier":170},{"parentExtensionId":189,"repoId":228},{"_creationTime":243,"_id":228,"identity":244,"providers":245,"workflow":257},1777995558409.893,{"githubOwner":183,"githubRepo":184,"sourceUrl":195},{"discover":246,"github":249},{"sources":247},[248],"skills-sh",{"closedIssues90d":250,"forks":251,"openIssues90d":252,"pushedAt":253,"readmeSize":254,"stars":255,"topics":256},5,458,2,1777870782000,4594,3935,[],{"discoverAt":258,"extractAt":259,"githubAt":259,"updatedAt":259},1777995558409,1778053350730,{"anyEnrichmentAt":230,"extractAt":231,"githubAt":230,"llmAt":181,"updatedAt":181},[],[263,290,312,337,363,392],{"_creationTime":264,"_id":265,"community":266,"display":267,"identity":275,"providers":279,"relations":284,"workflow":286},1778053100136.2446,"k17a4jnpny3pth7nf298fa1ced867vxf",{"reviewCount":8},{"description":268,"name":269,"sourceUrl":270,"tags":271},"Use this skill when the user requests to generate, create, write, or draft a newsletter, email digest, weekly roundup, industry briefing, or curated content summary. Supports topic-based research, content curation from multiple sources, and professional formatting for email or web distribution. Trigger on requests like \"create a newsletter about X\", \"write a weekly digest\", \"generate a tech roundup\", or \"curate news about Y\".","Newsletter Generation Skill","https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/newsletter-generation",[272,18,199,273,274],"newsletter","curation","email",{"githubOwner":276,"githubRepo":277,"locale":23,"slug":278,"type":185},"bytedance","deer-flow","newsletter-generation",{"extract":280,"llm":282},{"commitSha":281,"license":220},"1336872b15c25d45ebcb7c1cf72369c2bdd53187",{"promptVersionExtension":163,"promptVersionScoring":164,"score":283,"targetMarket":169,"tier":170},98,{"repoId":285},"kd789sm7egx1h0t1jag6zzhcq98656wv",{"anyEnrichmentAt":287,"extractAt":288,"githubAt":287,"llmAt":289,"updatedAt":289},1778053101076,1778053100136,1778053169012,{"_creationTime":291,"_id":292,"community":293,"display":294,"identity":304,"providers":306,"relations":310,"workflow":311},1778053348890.7886,"k170mndqke74ks934kjmsmj28h867nke",{"reviewCount":8},{"description":295,"installMethods":296,"name":297,"sourceUrl":298,"tags":299},"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",[300,301,302,303,17],"language","semantics","lexicon","education",{"githubOwner":183,"githubRepo":184,"locale":23,"slug":305,"type":185},"ljg-word",{"extract":307,"llm":308},{"commitSha":219,"license":61},{"promptVersionExtension":163,"promptVersionScoring":164,"score":309,"targetMarket":169,"tier":170},96,{"parentExtensionId":189,"repoId":228},{"anyEnrichmentAt":230,"extractAt":231,"githubAt":230,"llmAt":181,"updatedAt":181},{"_creationTime":313,"_id":314,"community":315,"display":316,"identity":324,"providers":326,"relations":331,"workflow":333},1778053890293.344,"k175zjetatr4j4n1j1sc1xd5wh867qe9",{"reviewCount":8},{"description":317,"installMethods":318,"name":319,"sourceUrl":320,"tags":321},"Create template-based infographics with space-separated key-value syntax (NOT YAML). Best for KPI dashboards, timelines, roadmaps, SWOT analysis, funnels, comparisons, and org charts with quick visual impact.",{},"Infographic","https://github.com/markdown-viewer/skills/tree/HEAD/infographic",[16,322,202,323,201],"diagrams","templates",{"githubOwner":325,"githubRepo":197,"locale":23,"slug":16,"type":185},"markdown-viewer",{"extract":327,"llm":330},{"commitSha":328,"license":329},"c9c64d1fe2bcf630c5534a6e32f201fc3c2be0f9","GPL-3.0-or-later",{"promptVersionExtension":163,"promptVersionScoring":164,"score":166,"targetMarket":169,"tier":170},{"repoId":332},"kd79wd89yemg344r17397n4hws865t8k",{"anyEnrichmentAt":334,"extractAt":335,"githubAt":334,"llmAt":336,"updatedAt":336},1778053890873,1778053890293,1778053931762,{"_creationTime":338,"_id":339,"community":340,"display":341,"identity":351,"providers":353,"relations":357,"workflow":359},1778053148350.448,"k17ard5pqxtra8z82nggrq4cy5866kkk",{"reviewCount":8},{"description":342,"installMethods":343,"name":344,"sourceUrl":345,"tags":346},"Design infographic layouts and content structure. Plan visual storytelling with data, icons, and text hierarchy for impactful information design.",{},"Infographic Skill","https://github.com/claude-office-skills/skills/tree/HEAD/infographic",[16,347,348,349,350],"visual-design","data-storytelling","layout","marketing",{"githubOwner":352,"githubRepo":197,"locale":23,"slug":16,"type":185},"claude-office-skills",{"extract":354,"llm":356},{"commitSha":355,"license":220},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":163,"promptVersionScoring":164,"score":166,"targetMarket":169,"tier":170},{"repoId":358},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":360,"extractAt":361,"githubAt":360,"llmAt":362,"updatedAt":362},1778053151766,1778053148350,1778053561145,{"_creationTime":364,"_id":365,"community":366,"display":367,"identity":378,"providers":382,"relations":386,"workflow":388},1778053622473.6472,"k1718d95vd04ttrqx2vv3mwzgd866dhr",{"reviewCount":8},{"description":368,"installMethods":369,"name":370,"sourceUrl":371,"tags":372},"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",[373,374,375,376,200,17,377],"ebook","parsing","analysis","knowledge-base","deno",{"githubOwner":379,"githubRepo":380,"locale":23,"slug":381,"type":185},"jwynia","agent-skills","ebook-analysis",{"extract":383,"llm":385},{"commitSha":384,"license":220},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":163,"promptVersionScoring":164,"score":166,"targetMarket":169,"tier":170},{"repoId":387},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":389,"extractAt":390,"githubAt":389,"llmAt":391,"updatedAt":391},1778053625386,1778053622473,1778054012696,{"_creationTime":393,"_id":394,"community":395,"display":396,"identity":406,"providers":410,"relations":414,"workflow":416},1778054123074.2524,"k179ejv2t9jsfftz4qzh2a0zkx867s3a",{"reviewCount":8},{"description":397,"installMethods":398,"name":399,"sourceUrl":400,"tags":401},"Produce an editor-ready content brief for a target keyword or topic. Use when the user asks for a content brief, writing guidelines, article outline, SEO brief, what to include in a blog post, or how to structure content for a keyword. For choosing which topics to write about, see find-keywords. For a full site-wide SEO audit, see audit.",{},"Content Brief","https://github.com/calm-north/seojuice-skills/tree/HEAD/skills/brief",[402,403,404,18,405],"seo","content-strategy","seo-brief","llm-workflow",{"githubOwner":407,"githubRepo":408,"locale":23,"slug":409,"type":185},"calm-north","seojuice-skills","brief",{"extract":411,"llm":413},{"commitSha":412,"license":220},"c1f633bea512365ba04477076369e418ecc82ffd",{"promptVersionExtension":163,"promptVersionScoring":164,"score":166,"targetMarket":169,"tier":170},{"repoId":415},"kd77p09fwtcsr2sfmxw6921ek1864v0a",{"anyEnrichmentAt":417,"extractAt":418,"githubAt":417,"llmAt":419,"updatedAt":419},1778054123513,1778054123074,1778054162250]