[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-lijigang-ljg-learn-bn":3,"guides-for-lijigang-ljg-learn":266,"similar-k177328knxeysfj5sh1ktyjrth8674rz":267},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":188,"isFallback":192,"parentExtension":193,"providers":243,"relations":246,"repo":247,"workflow":265},1778053348890.7812,"k177328knxeysfj5sh1ktyjrth8674rz",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or idea. Triggers on '解剖概念', '概念解剖', 'explain concept', 'learn concept', '/ljg-learn'. Produces org-mode output.",{},"ljg-learn","https://github.com/lijigang/ljg-skills/tree/HEAD/skills/ljg-learn",[15,16,17,18,19],"concept-analysis","philosophy","org-mode","documentation","writing-assistant",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":177,"workflow":186},1778053415028.546,"kn790eh1cfgmdwkrtfsm2mga9x866bs2","en",{"checks":25,"evaluatedAt":167,"extensionSummary":168,"promptVersionExtension":169,"promptVersionScoring":170,"rationale":171,"score":172,"summary":173,"tags":174,"targetMarket":175,"tier":176},[26,31,34,38,42,46,50,53,57,61,65,68,71,74,77,81,84,87,90,93,96,100,104,107,111,114,117,120,123,126,129,133,136,140,145,148,151,154,157,161,164],{"category":27,"check":28,"severity":29,"summary":30},"Invocation","Precise Purpose","pass","The description clearly states the skill's purpose as a concept anatomist and provides specific triggers and output format, including an example.",{"category":27,"check":32,"severity":29,"summary":33},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the core capability and triggers within a reasonable character limit.",{"category":35,"check":36,"severity":29,"summary":37},"Documentation","Concise Body","The SKILL.md body is under 500 lines and delegates deeper material to separate files, adhering to progressive disclosure principles.",{"category":39,"check":40,"severity":29,"summary":41},"Context","Progressive Disclosure","The skill outlines its flow in SKILL.md and links into `references/` for sub-tasks, effectively using progressive disclosure.",{"category":39,"check":43,"severity":44,"summary":45},"Forked exploration","not_applicable","This skill is not an exploration-style skill and does not require 'context: fork'.",{"category":47,"check":48,"severity":29,"summary":49},"Practical Utility","Usage examples","A comprehensive usage example is provided, showing input, invocation, and expected outcome.",{"category":47,"check":51,"severity":29,"summary":52},"Edge cases","The skill's instructions handle edge cases and limitations, including failure modes and recovery steps.",{"category":54,"check":55,"severity":44,"summary":56},"Code Execution","Tool Fallback","The skill uses only Claude-internal tools and does not require external dependencies with fallbacks.",{"category":58,"check":59,"severity":29,"summary":60},"Portability","Stack assumptions","The skill explicitly declares its runtime environment (Bash) and requirements in the instructions.",{"category":62,"check":63,"severity":29,"summary":64},"Safety","Halt on unexpected state","The instructions clearly state to abort and report on unexpected pre-state, ensuring workflow stability.",{"category":58,"check":66,"severity":29,"summary":67},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills, with explicit cross-linking for adjacent tasks.",{"category":47,"check":69,"severity":29,"summary":70},"Problem relevance","The description clearly names a concrete user problem: understanding and dissecting complex concepts.",{"category":47,"check":72,"severity":29,"summary":73},"Unique selling proposition","The skill offers a unique value proposition by deconstructing concepts through 8 specific philosophical dimensions and compressing insights, going beyond a simple prompt.",{"category":47,"check":75,"severity":29,"summary":76},"Production readiness","The skill covers its stated use case of concept dissection and output generation, with clear instructions and a defined lifecycle.",{"category":78,"check":79,"severity":29,"summary":80},"Scope","Single responsibility principle","The extension focuses on a single, well-defined responsibility: deep concept analysis and summarization.",{"category":78,"check":82,"severity":29,"summary":83},"Description quality","The description is accurate, concise, readable, and effectively reflects the skill's behavior and triggers.",{"category":27,"check":85,"severity":44,"summary":86},"Scoped tools","This skill does not expose specific tools in the traditional sense, as it acts as a single, integrated function.",{"category":35,"check":88,"severity":29,"summary":89},"Configuration & parameter reference","All parameters and configuration options are implicitly handled by the skill's core function and are not exposed as user-configurable parameters.",{"category":78,"check":91,"severity":44,"summary":92},"Tool naming","The skill does not expose individual tools with names, operating as a single function.",{"category":78,"check":94,"severity":29,"summary":95},"Minimal I/O surface","The skill takes a single concept as input and produces a structured org-mode output, with minimal and well-defined I/O.",{"category":97,"check":98,"severity":44,"summary":99},"License","License usability","No license information is available in the provided files.",{"category":101,"check":102,"severity":44,"summary":103},"Maintenance","Commit recency","No commit history is available for evaluation.",{"category":101,"check":105,"severity":44,"summary":106},"Dependency Management","No third-party dependencies are used by this skill.",{"category":108,"check":109,"severity":44,"summary":110},"Security","Secret Management","The skill does not handle any secrets.",{"category":108,"check":112,"severity":29,"summary":113},"Injection","The skill processes user input as data and does not execute external code or load untrusted content as instructions.",{"category":108,"check":115,"severity":29,"summary":116},"Transitive Supply-Chain Grenades","The skill does not fetch remote content or execute arbitrary code, keeping all operations within the bundle.",{"category":108,"check":118,"severity":29,"summary":119},"Sandbox Isolation","The skill operates within its designated scope, writing output to a specified user-documents path and not modifying files outside its mandate.",{"category":108,"check":121,"severity":29,"summary":122},"Sandbox escape primitives","There are no detached-process spawns or deny-retry loops detected in the skill's scripts.",{"category":108,"check":124,"severity":29,"summary":125},"Data Exfiltration","The skill does not make outbound calls or reference confidential data.",{"category":108,"check":127,"severity":29,"summary":128},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks, with clean printable ASCII and expected Unicode characters.",{"category":130,"check":131,"severity":29,"summary":132},"Hooks","Opaque code execution","The skill's code is plain, readable Bash script and does not involve obfuscation or runtime code fetching.",{"category":58,"check":134,"severity":29,"summary":135},"Structural Assumption","The skill uses user-specific paths in a documented and controlled manner for output and specifies preconditions.",{"category":137,"check":138,"severity":44,"summary":139},"Trust","Issues Attention","No issue tracking data is available for this repository.",{"category":141,"check":142,"severity":143,"summary":144},"Versioning","Release Management","warning","There is no versioning information in the manifest files or as GitHub releases, and install instructions reference `main`.",{"category":54,"check":146,"severity":29,"summary":147},"Validation","The skill validates its input by requiring a concept name and sanitizes output by writing to a specific directory and format.",{"category":108,"check":149,"severity":29,"summary":150},"Unguarded Destructive Operations","The skill's primary action is writing to a user-specified document path, which is not considered a destructive operation in this context and is guarded by user input.",{"category":54,"check":152,"severity":29,"summary":153},"Error Handling","The Bash script exits non-zero with a descriptive message on unexpected state, and the output path is validated.",{"category":54,"check":155,"severity":44,"summary":156},"Logging","The skill is primarily read-only in terms of user data and does not perform destructive actions requiring detailed audit logging.",{"category":158,"check":159,"severity":29,"summary":160},"Compliance","GDPR","The skill processes a user-provided concept name and does not handle personal data.",{"category":158,"check":162,"severity":29,"summary":163},"Target market","The skill operates on concepts and produces org-mode output, with no regional or jurisdictional signals detected. Target market is global.",{"category":58,"check":165,"severity":29,"summary":166},"Runtime stability","The skill is written in Bash and uses standard commands, ensuring cross-platform compatibility without specific OS or shell assumptions.",1778053361411,"This skill acts as a deep concept anatomist, dissecting any given concept through eight philosophical dimensions and compressing the insights into a concise epiphany. It is designed for use when a user wants to explain, dissect, or deeply understand a concept, term, or idea, producing output in org-mode format.","2.0.0","3.4.0","The skill is well-documented, adheres to best practices for scope and security, and provides a unique functionality with clear usage instructions. The only warning is related to version management, which is minor given the skill's apparent stability.",92,"A highly capable and well-structured concept analysis skill that produces detailed org-mode outputs.",[15,16,17,18,19],"global","verified",{"codeQuality":178,"collectedAt":179,"documentation":180,"maintenance":182,"security":183,"testCoverage":185},{},1778053351854,{"descriptionLength":181,"readmeSize":8},428,{},{"hasNpmPackage":184,"smitheryVerified":184},false,{"hasCi":184,"hasTests":184},{"updatedAt":187},1778053415028,{"githubOwner":189,"githubRepo":190,"locale":23,"slug":12,"type":191},"lijigang","ljg-skills","skill",true,{"_creationTime":194,"_id":195,"community":196,"display":197,"identity":210,"parentExtension":212,"providers":237,"relations":241,"workflow":242},1778053348890.7798,"k1704g81mbxzdxt81951f8s6g1866ry3",{"reviewCount":8},{"description":198,"installMethods":199,"name":200,"sourceUrl":201,"tags":202},"LJG's personal Claude Code skills collection",{},"LJG Skills Collection","https://github.com/lijigang/ljg-skills",[203,204,205,206,18,207,208,209],"skills","content-creation","writing","research","visualization","productivity","academic",{"githubOwner":189,"githubRepo":190,"locale":23,"slug":190,"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":200,"sourceUrl":201,"tags":219},"Personal Claude Code skills collection for paper reading, content casting, and writing workflows",{},[203,204,206,205,208],{"githubOwner":189,"githubRepo":190,"locale":23,"slug":190,"type":221},"marketplace",{"extract":223,"llm":229},{"commitSha":224,"license":225,"marketplace":226},"d2d6a0313baaeee789d00aa5c3841d4622147f23","MIT",{"name":190,"pluginCount":227,"version":228},1,"1.17.15",{"promptVersionExtension":169,"promptVersionScoring":170,"score":230,"targetMarket":175,"tier":231},88,"flagged",{"repoId":233},"kd71hhp7w2dcgt37rznesw08cx864k8w",{"anyEnrichmentAt":235,"extractAt":236,"githubAt":235,"llmAt":187,"updatedAt":187},1778053349620,1778053348890,{"extract":238,"llm":239},{"commitSha":224,"license":225},{"promptVersionExtension":169,"promptVersionScoring":170,"score":240,"targetMarket":175,"tier":176},90,{"parentExtensionId":214,"repoId":233},{"anyEnrichmentAt":235,"extractAt":236,"githubAt":235,"llmAt":187,"updatedAt":187},{"extract":244,"llm":245},{"commitSha":224,"license":44},{"promptVersionExtension":169,"promptVersionScoring":170,"score":172,"targetMarket":175,"tier":176},{"parentExtensionId":195,"repoId":233},{"_creationTime":248,"_id":233,"identity":249,"providers":250,"workflow":262},1777995558409.893,{"githubOwner":189,"githubRepo":190,"sourceUrl":201},{"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":187,"updatedAt":187},[],[268,296,327,356,385,411],{"_creationTime":269,"_id":270,"community":271,"display":272,"identity":281,"providers":285,"relations":290,"workflow":292},1778053622473.6594,"k171jc4epkmqq2y76n42e3eg0s866rf8",{"reviewCount":8},{"description":273,"installMethods":274,"name":275,"sourceUrl":276,"tags":277},"Systematically identify what's missing in non-fiction writing—both blind spots (inherent limitations) and blank spots (gaps that could be addressed). Use before finalizing non-fiction or when feedback feels incomplete.",{},"Blind Spot Detective","https://github.com/jwynia/agent-skills/tree/HEAD/skills/general/writing/analysis/blind-spot-detective",[205,278,279,280,18],"analysis","non-fiction","diagnostic",{"githubOwner":282,"githubRepo":283,"locale":23,"slug":284,"type":191},"jwynia","agent-skills","blind-spot-detective",{"extract":286,"llm":288},{"commitSha":287,"license":225},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":169,"promptVersionScoring":170,"score":289,"targetMarket":175,"tier":176},99,{"repoId":291},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":293,"extractAt":294,"githubAt":293,"llmAt":295,"updatedAt":295},1778053625386,1778053622473,1778054012696,{"_creationTime":297,"_id":298,"community":299,"display":300,"identity":312,"providers":316,"relations":321,"workflow":323},1778004105161.7068,"k175vr59yk0pyv518scsk261jx865hya",{"reviewCount":8},{"description":301,"installMethods":302,"name":303,"sourceUrl":304,"tags":305},"史蒂夫·乔布斯(Steve Jobs)的思维框架与表达方式。基于Isaacson授权传记、Stanford演讲、 Lost Interview、D Conference系列、Make Something Wonderful、30+一手来源的深度调研， 提炼6个核心心智模型、8条决策启发式和完整的表达DNA。 用途：作为思维顾问，用乔布斯的视角分析产品、审视决策、提供反馈。 当用户提到「用乔布斯的视角」「乔布斯会怎么看」「Jobs模式」「steve jobs perspective」时使用。 即使用户只是说「帮我用乔布斯的角度想想」「如果乔布斯会怎么做」「切换到乔布斯」也应触发。",{},"Steve Jobs .skill","https://github.com/alchaincyf/steve-jobs-skill",[306,307,16,308,309,310,311],"steve-jobs","biography","decision-making","product-management","communication","persona",{"githubOwner":313,"githubRepo":314,"locale":23,"slug":315,"type":191},"alchaincyf","steve-jobs-skill","steve-jobs-perspective",{"extract":317,"llm":319},{"commitSha":318,"license":225},"934d1202a8de7b5b30b8df09482869c4fed51492",{"promptVersionExtension":169,"promptVersionScoring":170,"score":320,"targetMarket":175,"tier":176},98,{"repoId":322},"kd77zzpwwmvwfk6x408hzq01ds8646st",{"anyEnrichmentAt":324,"extractAt":325,"githubAt":324,"llmAt":326,"updatedAt":326},1778054381725,1778054381250,1778054393916,{"_creationTime":328,"_id":329,"community":330,"display":331,"identity":342,"providers":346,"relations":350,"workflow":352},1778054663200.0623,"k1787qemz1vae1jy4xsx7c2zyn867dwd",{"reviewCount":8},{"description":332,"installMethods":333,"name":334,"sourceUrl":335,"tags":336},"Maps the full customer journey from first touch to advocacy. Generates a comprehensive customer-journey.md with all stages, touchpoints, emotions, pain points, opportunities, Mermaid diagrams, and metrics. Use when mapping customer experience, designing onboarding flows, identifying churn risks, or optimizing conversion funnels.",{},"Customer Journey Mapper","https://github.com/onewave-ai/claude-skills/tree/HEAD/customer-journey-mapper",[337,338,339,340,18,341],"customer-experience","journey-mapping","strategy","marketing","reporting",{"githubOwner":343,"githubRepo":344,"locale":23,"slug":345,"type":191},"onewave-ai","claude-skills","customer-journey-mapper",{"extract":347,"llm":349},{"commitSha":348,"license":225},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271",{"promptVersionExtension":169,"promptVersionScoring":170,"score":320,"targetMarket":175,"tier":176},{"repoId":351},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"anyEnrichmentAt":353,"extractAt":354,"githubAt":353,"llmAt":355,"updatedAt":355},1778054667983,1778054663200,1778055270278,{"_creationTime":357,"_id":358,"community":359,"display":360,"identity":372,"providers":375,"relations":379,"workflow":381},1778054812528.7205,"k179w7m3n2zkvrbhmmwn1stces86799q",{"reviewCount":8},{"description":361,"installMethods":362,"name":363,"sourceUrl":364,"tags":365},"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",[366,367,368,369,18,370,371],"three-js","webgl","webgpu","3d-graphics","learning","examples",{"githubOwner":373,"githubRepo":374,"locale":23,"slug":369,"type":191},"samhvw8","dot-claude",{"extract":376,"llm":378},{"commitSha":377,"license":225},"28c76162116d2eedab131c0e1548fdc76a2999f7",{"promptVersionExtension":169,"promptVersionScoring":170,"score":320,"targetMarket":175,"tier":176},{"repoId":380},"kd79ad9dpqazy79y2s6rvajgjn865xek",{"anyEnrichmentAt":382,"extractAt":383,"githubAt":382,"llmAt":384,"updatedAt":384},1778054813688,1778054812528,1778054896678,{"_creationTime":386,"_id":387,"community":388,"display":389,"identity":398,"providers":401,"relations":405,"workflow":407},1778054564989.5369,"k1767w6z2kv4rgf7gryn1saw6x867n0n",{"reviewCount":8},{"description":390,"installMethods":391,"name":392,"sourceUrl":393,"tags":394},"Refactor CLAUDE.md files to follow progressive disclosure principles. Use when CLAUDE.md is too long or disorganized.",{},"ReClaude","https://github.com/brianlovin/claude-config/tree/HEAD/skills/reclaude",[18,395,396,397],"refactoring","markdown","claude-config",{"githubOwner":399,"githubRepo":397,"locale":23,"slug":400,"type":191},"brianlovin","reclaude",{"extract":402,"llm":404},{"commitSha":403,"license":44},"1a9819ebf3fee811150fc76cbe177ea4e5f747ff",{"promptVersionExtension":169,"promptVersionScoring":170,"score":320,"targetMarket":175,"tier":176},{"repoId":406},"kd7c7ftew8fsa52skn0fm3rfvd864fmn",{"anyEnrichmentAt":408,"extractAt":409,"githubAt":408,"llmAt":410,"updatedAt":410},1778054565711,1778054564989,1778054628464,{"_creationTime":412,"_id":413,"community":414,"display":415,"identity":424,"providers":428,"relations":432,"workflow":434},1778054123074.2559,"k171bg90a9mh96w2p4em6tn7zh8676as",{"reviewCount":8},{"description":416,"installMethods":417,"name":418,"sourceUrl":419,"tags":420},"Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews. Use when the user asks about AI SEO, AISO, getting cited by AI, appearing in AI answers, answer engine optimization, AEO, GEO, LLMO, AI Overviews, zero-click search, or how to appear in ChatGPT/Perplexity results. For traditional SEO, see diagnose-seo.",{},"Optimize for AI","https://github.com/calm-north/seojuice-skills/tree/HEAD/skills/optimize-for-ai",[421,422,423,340,18],"seo","ai","content-optimization",{"githubOwner":425,"githubRepo":426,"locale":23,"slug":427,"type":191},"calm-north","seojuice-skills","optimize-for-ai",{"extract":429,"llm":431},{"commitSha":430,"license":225},"c1f633bea512365ba04477076369e418ecc82ffd",{"promptVersionExtension":169,"promptVersionScoring":170,"score":320,"targetMarket":175,"tier":176},{"repoId":433},"kd77p09fwtcsr2sfmxw6921ek1864v0a",{"anyEnrichmentAt":435,"extractAt":436,"githubAt":435,"llmAt":437,"updatedAt":437},1778054123513,1778054123074,1778054162250]