[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-onewave-ai-color-palette-extractor-ko":3,"guides-for-onewave-ai-color-palette-extractor":222,"similar-k178cddejr2k0qx90ptb4aqw658675r6":223},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":22,"identity":187,"isFallback":192,"parentExtension":193,"providers":194,"relations":199,"repo":201,"workflow":219},1778054663200.055,"k178cddejr2k0qx90ptb4aqw658675r6",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Extract color palettes from images, websites, or designs. Identifies dominant colors, generates complementary schemes, and exports in multiple formats (HEX, RGB, HSL, Tailwind, CSS variables). Use when users need color schemes from images, brand colors, or design system palettes.",{},"Color Palette Extractor","https://github.com/onewave-ai/claude-skills/tree/HEAD/color-palette-extractor",[15,16,17,18,19,20,21],"color","design","palette","extraction","generation","css","tailwind",{"_creationTime":23,"_id":24,"extensionId":5,"locale":25,"result":26,"trustSignals":176,"workflow":185},1778055270278.0645,"kn7bz8ajyek87zxb0ajrp0taa1867seb","en",{"checks":27,"evaluatedAt":166,"extensionSummary":167,"promptVersionExtension":168,"promptVersionScoring":169,"rationale":170,"score":171,"summary":172,"tags":173,"targetMarket":174,"tier":175},[28,33,36,39,43,46,51,55,58,61,65,69,72,76,79,82,85,88,91,94,98,102,106,111,115,118,121,124,128,131,134,137,140,143,147,150,153,156,159,163],{"category":29,"check":30,"severity":31,"summary":32},"Practical Utility","Problem relevance","pass","The description clearly names a concrete user problem: extracting color palettes from images, websites, or designs, and generating complementary schemes.",{"category":29,"check":34,"severity":31,"summary":35},"Unique selling proposition","The skill offers significant value beyond a simple prompt by implementing complex color extraction, clustering, harmony analysis, and export to multiple formats.",{"category":29,"check":37,"severity":31,"summary":38},"Production readiness","The skill is production-ready, providing a complete workflow for color palette extraction and export in various formats, with detailed instructions and examples.",{"category":40,"check":41,"severity":31,"summary":42},"Scope","Single responsibility principle","The extension focuses on a single domain: color palette extraction and generation, with no unrelated capabilities.",{"category":40,"check":44,"severity":31,"summary":45},"Description quality","The displayed description is concise, readable, and accurately reflects the extension's capabilities as described in the source code.",{"category":47,"check":48,"severity":49,"summary":50},"Invocation","Scoped tools","not_applicable","The extension does not expose any tools directly; its functionality is described within SKILL.md as instructions for the LLM.",{"category":52,"check":53,"severity":49,"summary":54},"Documentation","Configuration & parameter reference","The extension does not appear to use any external configuration files or environment variables; parameters are implicitly handled by the LLM's interpretation of the SKILL.md instructions.",{"category":40,"check":56,"severity":49,"summary":57},"Tool naming","No explicit tools are defined; the skill operates through natural language instructions.",{"category":40,"check":59,"severity":49,"summary":60},"Minimal I/O surface","The extension does not expose specific tools with parameter schemas; I/O is handled via natural language prompts and LLM-generated output.",{"category":62,"check":63,"severity":31,"summary":64},"License","License usability","The extension is licensed under the MIT License, which is a permissive open-source license.",{"category":66,"check":67,"severity":49,"summary":68},"Maintenance","Commit recency","The provided metadata indicates 'n/a' for the last commit date on the default branch, making it impossible to assess recency. Assuming this is a static skill file, recency is less critical than content quality.",{"category":66,"check":70,"severity":49,"summary":71},"Dependency Management","The extension does not appear to use any third-party dependencies that require explicit management.",{"category":73,"check":74,"severity":49,"summary":75},"Security","Secret Management","The extension does not handle or expose any secrets.",{"category":73,"check":77,"severity":31,"summary":78},"Injection","The extension operates on user-provided prompts and data for color extraction and does not appear to load or execute untrusted third-party code or data.",{"category":73,"check":80,"severity":31,"summary":81},"Transitive Supply-Chain Grenades","The extension is self-contained within the provided files and does not fetch or execute external code at runtime.",{"category":73,"check":83,"severity":31,"summary":84},"Sandbox Isolation","The extension's functionality is within the LLM's capabilities and does not involve file system operations outside of its own scope.",{"category":73,"check":86,"severity":31,"summary":87},"Sandbox escape primitives","No detached process spawns or deny-retry loops are present in the instructions.",{"category":73,"check":89,"severity":31,"summary":90},"Data Exfiltration","The extension does not appear to make any outbound calls or reference confidential data.",{"category":73,"check":92,"severity":31,"summary":93},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks, invisible characters, or obfuscated instructions.",{"category":95,"check":96,"severity":31,"summary":97},"Hooks","Opaque code execution","The extension consists of readable markdown instructions and does not involve obfuscated code, base64 payloads, or runtime script fetching.",{"category":99,"check":100,"severity":31,"summary":101},"Portability","Structural Assumption","The skill does not make assumptions about the user's project structure; it operates on provided inputs (images, URLs, hex codes).",{"category":103,"check":104,"severity":49,"summary":105},"Trust","Issues Attention","No GitHub issues data is available for this skill, making assessment impossible.",{"category":107,"check":108,"severity":109,"summary":110},"Versioning","Release Management","warning","No explicit versioning information (e.g., version field in SKILL.md, package.json, or changelog) is present, and install instructions would likely default to 'main'.",{"category":112,"check":113,"severity":49,"summary":114},"Code Execution","Validation","As this is a prompt-based skill, formal schema validation for input arguments is not applicable; validation is handled by the LLM's interpretation.",{"category":73,"check":116,"severity":31,"summary":117},"Unguarded Destructive Operations","The extension is read-only and does not perform any destructive operations.",{"category":112,"check":119,"severity":49,"summary":120},"Error Handling","Error handling is managed by the LLM's interpretation of the instructions; explicit try-catch blocks or exit codes are not applicable here.",{"category":112,"check":122,"severity":49,"summary":123},"Logging","The extension does not perform actions that require local audit logging.",{"category":125,"check":126,"severity":31,"summary":127},"Compliance","GDPR","The extension does not appear to operate on personal data; it processes image and design information.",{"category":125,"check":129,"severity":31,"summary":130},"Target market","The extension operates on universal concepts of color and design, with no regional or jurisdictional logic detected. Target market is global.",{"category":99,"check":132,"severity":31,"summary":133},"Runtime stability","The skill's instructions are platform-agnostic and rely on the LLM's capabilities, with no specific runtime assumptions.",{"category":47,"check":135,"severity":31,"summary":136},"Precise Purpose","The skill clearly states its purpose (extracting and generating color palettes) and provides specific use cases and triggers.",{"category":47,"check":138,"severity":31,"summary":139},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the core capability and use cases.",{"category":52,"check":141,"severity":31,"summary":142},"Concise Body","The SKILL.md body is under 500 lines and provides detailed instructions without excessive verbosity.",{"category":144,"check":145,"severity":31,"summary":146},"Context","Progressive Disclosure","The SKILL.md outlines the flow and links to external concepts implicitly through its detailed instruction sections, without needing separate reference files for this scope.",{"category":144,"check":148,"severity":49,"summary":149},"Forked exploration","The skill is short-form and does not involve deep exploration that would require forking.",{"category":29,"check":151,"severity":31,"summary":152},"Usage examples","Sufficient end-to-end examples are provided, covering various inputs and expected outcomes in different formats.",{"category":29,"check":154,"severity":31,"summary":155},"Edge cases","The instructions implicitly handle edge cases through the LLM's understanding of color extraction and generation, and explicitly mention best practices for accessibility and output quality.",{"category":112,"check":157,"severity":49,"summary":158},"Tool Fallback","The skill does not rely on external tools beyond the LLM's native capabilities, so fallbacks are not applicable.",{"category":160,"check":161,"severity":31,"summary":162},"Safety","Halt on unexpected state","The instructions implicitly guide the LLM to abort and report if it encounters unexpected states, such as malformed input or inability to process the source.",{"category":99,"check":164,"severity":31,"summary":165},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills; its functionality is distinct.",1778054753343,"This skill analyzes images, websites, or provided color codes to identify dominant colors, generate harmonious palettes, and output them in multiple formats like HEX, RGB, HSL, Tailwind, and CSS variables. It also includes accessibility checks and color psychology notes.","2.0.0","3.4.0","The extension is well-documented, clearly defines its purpose and usage, and offers a comprehensive feature set for color palette extraction. It adheres to best practices for prompt engineering and security, with no critical or warning findings. The only minor concern is the lack of explicit versioning, which is common for skills of this nature.",95,"This skill expertly extracts and generates color palettes from various sources, offering comprehensive output formats and accessibility considerations.",[15,16,17,18,19,20,21],"global","verified",{"codeQuality":177,"collectedAt":178,"documentation":179,"maintenance":181,"security":182,"testCoverage":184},{},1778054741492,{"descriptionLength":180,"readmeSize":8},280,{},{"hasNpmPackage":183,"smitheryVerified":183},false,{"hasCi":183,"hasTests":183},{"updatedAt":186},1778055270278,{"githubOwner":188,"githubRepo":189,"locale":25,"slug":190,"type":191},"onewave-ai","claude-skills","color-palette-extractor","skill",true,null,{"extract":195,"llm":198},{"commitSha":196,"license":197},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271","MIT",{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"repoId":200},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"_creationTime":202,"_id":200,"identity":203,"providers":205,"workflow":216},1777995558409.8716,{"githubOwner":188,"githubRepo":189,"sourceUrl":204},"https://github.com/onewave-ai/claude-skills",{"discover":206,"github":209},{"sources":207},[208],"skills-sh",{"closedIssues90d":8,"forks":210,"license":197,"openIssues90d":211,"pushedAt":212,"readmeSize":213,"stars":214,"topics":215},15,1,1775817251000,11706,113,[],{"discoverAt":217,"extractAt":218,"githubAt":218,"updatedAt":218},1777995558409,1778054678433,{"anyEnrichmentAt":220,"extractAt":221,"githubAt":220,"llmAt":186,"updatedAt":186},1778054667983,1778054663200,[],[224,260,285,310,335,355],{"_creationTime":225,"_id":226,"community":227,"display":228,"identity":245,"providers":249,"relations":254,"workflow":256},1778053622473.6697,"k171f477n3e7072bp8naebmft986757y",{"reviewCount":8},{"description":229,"installMethods":230,"name":231,"sourceUrl":232,"tags":233},"Create distinctive, production-grade frontend interfaces with high design quality. Provides analysis tools for auditing existing designs and generation tools for creating color palettes, typography systems, design tokens, and component templates. Supports React, Vue, Svelte, and vanilla HTML/CSS. Use when building web components, pages, or applications. Keywords: design, UI, frontend, CSS, components, palette, typography, tokens, accessibility.",{},"Frontend Design","https://github.com/jwynia/agent-skills/tree/HEAD/skills/tech/frontend/design/frontend-design",[16,234,235,20,236,17,237,238,239,240,241,242,243,244],"ui","frontend","components","typography","tokens","accessibility","react","vue","svelte","html","deno",{"githubOwner":246,"githubRepo":247,"locale":25,"slug":248,"type":191},"jwynia","agent-skills","frontend-design",{"extract":250,"llm":252},{"commitSha":251,"license":197},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":168,"promptVersionScoring":169,"score":253,"targetMarket":174,"tier":175},99,{"repoId":255},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":257,"extractAt":258,"githubAt":257,"llmAt":259,"updatedAt":259},1778053625386,1778053622473,1778054012696,{"_creationTime":261,"_id":262,"community":263,"display":264,"identity":270,"providers":273,"relations":279,"workflow":281},1778053100136.2432,"k172mxtfqpq8byws1fyd2va1018674xt",{"reviewCount":8},{"description":265,"installMethods":266,"name":231,"sourceUrl":267,"tags":268},"Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.",{},"https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/frontend-design",[235,16,234,269,243,20,240,241],"web-components",{"githubOwner":271,"githubRepo":272,"locale":25,"slug":248,"type":191},"bytedance","deer-flow",{"extract":274,"llm":277},{"commitSha":275,"license":276},"1336872b15c25d45ebcb7c1cf72369c2bdd53187","MIT-0",{"promptVersionExtension":168,"promptVersionScoring":169,"score":278,"targetMarket":174,"tier":175},98,{"repoId":280},"kd789sm7egx1h0t1jag6zzhcq98656wv",{"anyEnrichmentAt":282,"extractAt":283,"githubAt":282,"llmAt":284,"updatedAt":284},1778053101076,1778053100136,1778053169012,{"_creationTime":286,"_id":287,"community":288,"display":289,"identity":297,"providers":300,"relations":304,"workflow":306},1778054491434.2573,"k17akerbcb9qg85yjeq5b9a0fd8672fp",{"reviewCount":8},{"description":290,"installMethods":291,"name":292,"sourceUrl":293,"tags":294},"Design engineering principles for making interfaces feel polished. Use when building UI components, reviewing frontend code, implementing animations, hover states, shadows, borders, typography, micro-interactions, enter/exit animations, or any visual detail work. Triggers on UI polish, design details, \"make it feel better\", \"feels off\", stagger animations, border radius, optical alignment, font smoothing, tabular numbers, image outlines, box shadows.",{},"Make Interfaces Feel Better","https://github.com/jakubkrehel/make-interfaces-feel-better/tree/HEAD/skills/make-interfaces-feel-better",[234,16,235,20,295,237,296],"animation","polish",{"githubOwner":298,"githubRepo":299,"locale":25,"slug":299,"type":191},"jakubkrehel","make-interfaces-feel-better",{"extract":301,"llm":303},{"commitSha":302,"license":197},"384562064fcdd99778fcbafd8729626fe6aab02f",{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"repoId":305},"kd73vz76v1h3vbkcs55q5pr89s8640jq",{"anyEnrichmentAt":307,"extractAt":308,"githubAt":307,"llmAt":309,"updatedAt":309},1778054491631,1778054491434,1778054509344,{"_creationTime":311,"_id":312,"community":313,"display":314,"identity":323,"providers":325,"relations":329,"workflow":331},1778054691785.2559,"k17ac35xsa43hhrp4547zcey758667vk",{"reviewCount":8},{"description":315,"installMethods":316,"name":317,"sourceUrl":318,"tags":319},"Transform UI style requirements into production-ready frontend code with systematic design tokens, accessibility compliance, and creative execution. Use when building websites, web applications, React/Vue components, dashboards, landing pages, or any web UI requiring both design consistency and aesthetic quality.",{},"Frontend Design Skill","https://github.com/answerzhao/agent-skills/tree/HEAD/glm-skills/frontend-design",[235,234,320,240,321,21,20,239,322],"design-system","typescript","web-development",{"githubOwner":324,"githubRepo":247,"locale":25,"slug":248,"type":191},"answerzhao",{"extract":326,"llm":328},{"commitSha":327,"license":197},"aad73edbd0d9ffbc3d6a402b6eafa6dab96d5ebb",{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"repoId":330},"kd712v2g1pay70swwj0jpv2ggs864zgh",{"anyEnrichmentAt":332,"extractAt":333,"githubAt":332,"llmAt":334,"updatedAt":334},1778054692243,1778054691785,1778054738050,{"_creationTime":336,"_id":337,"community":338,"display":339,"identity":348,"providers":350,"relations":353,"workflow":354},1778053622473.6702,"k177zy9daqkf8p7hv2rjm29tq1866s1c",{"reviewCount":8},{"description":340,"installMethods":341,"name":342,"sourceUrl":343,"tags":344},"Generate correct shadcn/Tailwind layouts by applying CSS mental models. This skill should be used when the user asks to 'create a shadcn layout', 'fix layout issues', 'debug CSS height problems', 'make scrolling work', or has issues with Tailwind flex/grid. Keywords: shadcn, Tailwind, layout, CSS, flex, grid, height, scroll, overflow.",{},"shadcn/Tailwind Layouts","https://github.com/jwynia/agent-skills/tree/HEAD/skills/tech/frontend/design/shadcn-layouts",[345,21,20,346,235,240,347],"shadcn","layout","nextjs",{"githubOwner":246,"githubRepo":247,"locale":25,"slug":349,"type":191},"shadcn-layouts",{"extract":351,"llm":352},{"commitSha":251,"license":197},{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"repoId":255},{"anyEnrichmentAt":257,"extractAt":258,"githubAt":257,"llmAt":259,"updatedAt":259},{"_creationTime":356,"_id":357,"community":358,"display":359,"identity":368,"providers":371,"relations":376,"workflow":378},1778053269518.5906,"k176rj92x61swaheh97mqxqr05867sdn",{"reviewCount":8},{"description":360,"installMethods":361,"name":362,"sourceUrl":363,"tags":364},"Tailwind CSS patterns and conventions for frontend apps. Use when writing component styles, layouts, or working with CSS classes.",{},"Tailwind CSS Best Practices","https://github.com/sergiodxa/agent-skills/tree/HEAD/skills/frontend-tailwind-best-practices",[21,20,235,365,366,367],"best-practices","documentation","utility-classes",{"githubOwner":369,"githubRepo":247,"locale":25,"slug":370,"type":191},"sergiodxa","frontend-tailwind-best-practices",{"extract":372,"llm":374},{"commitSha":373,"license":197},"40e21b46189d5c7de6610b68a25280af863f8775",{"promptVersionExtension":168,"promptVersionScoring":169,"score":375,"targetMarket":174,"tier":175},88,{"repoId":377},"kd73wtzzjgc8jttgs0x15sp8s9865fzg",{"anyEnrichmentAt":379,"extractAt":380,"githubAt":379,"llmAt":381,"updatedAt":381},1778053270043,1778053269518,1778053306113]