[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-get-convex-convex-performance-audit-nl":3,"guides-for-get-convex-convex-performance-audit":217,"similar-k17066dwh6m3m7g90s1a4aytgd864x1h":218},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":188,"isFallback":193,"parentExtension":194,"providers":195,"relations":201,"repo":203,"workflow":214},1778003467133.1838,"k17066dwh6m3m7g90s1a4aytgd864x1h",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Audits Convex performance for reads, subscriptions, write contention, and function limits. Use for slow features, insights findings, OCC conflicts, or read amplification.",{},"Convex Performance Audit","https://github.com/get-convex/agent-skills/tree/HEAD/skills/convex-performance-audit",[15,16,17,18,19],"convex","performance","audit","optimization","documentation",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":177,"workflow":186},1778016883287.243,"kn78w47svnm5mhxky8ws77xnt1865bx0","en",{"checks":25,"evaluatedAt":167,"extensionSummary":168,"promptVersionExtension":169,"promptVersionScoring":170,"rationale":171,"score":172,"summary":173,"tags":174,"targetMarket":175,"tier":176},[26,31,34,37,41,44,49,53,56,59,63,68,71,75,78,81,84,87,90,93,97,101,105,109,113,116,119,122,126,129,132,135,138,141,145,148,151,154,157,160,164],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly names a concrete user problem: auditing Convex performance for reads, subscriptions, write contention, and function limits, and lists specific use cases like slow features and OCC conflicts.",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The skill provides a structured approach to diagnosing and fixing Convex performance issues, going beyond generic advice by routing based on specific signals and providing detailed reference files for different problem classes.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The skill covers the complete lifecycle of performance auditing, from gathering signals to applying fixes and verification, and is ready for use in real workflows.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The skill focuses solely on auditing and diagnosing Convex performance issues, with clear boundaries and no indication of extending into unrelated domains like setup or migrations.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The displayed description is concise, accurate, and directly reflects the skill's purpose of auditing Convex performance issues.",{"category":45,"check":46,"severity":47,"summary":48},"Invocation","Scoped tools","not_applicable","This skill does not expose specific tools or commands; it operates as a guided workflow based on the agent's interpretation of the problem.",{"category":50,"check":51,"severity":47,"summary":52},"Documentation","Configuration & parameter reference","The skill does not appear to have configurable parameters or explicit options that require documentation beyond its instructions.",{"category":38,"check":54,"severity":47,"summary":55},"Tool naming","There are no explicit tools exposed by this skill, so tool naming conventions do not apply.",{"category":38,"check":57,"severity":47,"summary":58},"Minimal I/O surface","As this skill does not expose specific tools with defined parameter schemas or response shapes, this check is not applicable.",{"category":60,"check":61,"severity":29,"summary":62},"License","License usability","The repository includes a `LICENSE` file which indicates an MIT license, a common and usable open-source license.",{"category":64,"check":65,"severity":66,"summary":67},"Maintenance","Commit recency","warning","There are no commits on the default branch in the last 12 months, indicating the skill may be unmaintained.",{"category":64,"check":69,"severity":47,"summary":70},"Dependency Management","The skill does not appear to use any third-party dependencies.",{"category":72,"check":73,"severity":47,"summary":74},"Security","Secret Management","The skill does not handle secrets or sensitive information.",{"category":72,"check":76,"severity":29,"summary":77},"Injection","The skill does not load external data or files, mitigating injection risks.",{"category":72,"check":79,"severity":29,"summary":80},"Transitive Supply-Chain Grenades","The skill's content is contained within the repository and does not fetch remote code or data at runtime, preventing supply-chain attacks.",{"category":72,"check":82,"severity":29,"summary":83},"Sandbox Isolation","The skill operates within its defined scope and does not attempt to modify files or perform actions outside of its intended functionality.",{"category":72,"check":85,"severity":29,"summary":86},"Sandbox escape primitives","No detached process spawns or deny-retry loops were detected in the skill's scripts.",{"category":72,"check":88,"severity":29,"summary":89},"Data Exfiltration","The skill does not read or submit confidential data to third parties.",{"category":72,"check":91,"severity":29,"summary":92},"Hidden Text Tricks","Bundled files are free of hidden-steering tricks, and descriptions contain clean, printable ASCII and expected Unicode.",{"category":94,"check":95,"severity":29,"summary":96},"Hooks","Opaque code execution","The skill's scripts are plain, readable source code and do not use obfuscation techniques like base64 decoding or runtime fetching.",{"category":98,"check":99,"severity":29,"summary":100},"Portability","Structural Assumption","The skill makes no assumptions about user-specific project organization outside its bundle, and relies on standard Convex CLI commands.",{"category":102,"check":103,"severity":47,"summary":104},"Trust","Issues Attention","Issue data is not available for this repository.",{"category":106,"check":107,"severity":66,"summary":108},"Versioning","Release Management","There is no explicit versioning information (e.g., in SKILL.md frontmatter, package.json, or CHANGELOG) and installation instructions reference the 'main' branch, making version pinning impossible.",{"category":110,"check":111,"severity":47,"summary":112},"Code Execution","Validation","The skill does not expose executable code or structured output that requires schema validation.",{"category":72,"check":114,"severity":47,"summary":115},"Unguarded Destructive Operations","The skill is analytical and read-only, performing no destructive operations.",{"category":110,"check":117,"severity":29,"summary":118},"Error Handling","The skill's workflow is well-defined, and while it doesn't have explicit scripts to fail non-zero, the structure implies it would halt on unexpected states, and the reference files provide clear guidance on failure modes.",{"category":110,"check":120,"severity":47,"summary":121},"Logging","The skill is read-only and does not perform actions that require local audit logging.",{"category":123,"check":124,"severity":47,"summary":125},"Compliance","GDPR","The skill does not operate on personal data.",{"category":123,"check":127,"severity":29,"summary":128},"Target market","The skill focuses on Convex performance, a technical concern applicable globally, with no regional-specific logic.",{"category":98,"check":130,"severity":29,"summary":131},"Runtime stability","The skill relies on standard Convex CLI commands and general programming practices, with no specific OS or shell assumptions.",{"category":45,"check":133,"severity":29,"summary":134},"Precise Purpose","The description clearly states the artifact (Convex performance) and the task (auditing/diagnosing), with specific use cases and clear boundaries.",{"category":45,"check":136,"severity":29,"summary":137},"Concise Frontmatter","The frontmatter description is concise and self-contained, effectively summarizing the core capability and providing trigger phrases.",{"category":50,"check":139,"severity":29,"summary":140},"Concise Body","The SKILL.md body is under 500 lines and effectively uses nested Markdown for detailed information, adhering to progressive disclosure.",{"category":142,"check":143,"severity":29,"summary":144},"Context","Progressive Disclosure","The SKILL.md outlines the workflow and links to detailed reference files for specific problem classes, demonstrating effective progressive disclosure.",{"category":142,"check":146,"severity":47,"summary":147},"Forked exploration","The skill is an audit and diagnostic tool, not a deep exploration or code review tool, so 'context: fork' is not applicable.",{"category":27,"check":149,"severity":66,"summary":150},"Usage examples","The skill does not provide explicit end-to-end usage examples showing input, invocation, and output. While the reference files offer patterns, concrete examples are missing.",{"category":27,"check":152,"severity":29,"summary":153},"Edge cases","The skill's reference files detail common causes and fix orders for various performance issues, implicitly handling edge cases by providing specific guidance for different scenarios and failure modes.",{"category":110,"check":155,"severity":47,"summary":156},"Tool Fallback","The skill does not rely on external tools like MCP servers, thus this check is not applicable.",{"category":98,"check":158,"severity":29,"summary":159},"Stack assumptions","The skill assumes standard Convex CLI tools and general TypeScript/JavaScript practices, with no exotic language runtimes or specific OS dependencies.",{"category":161,"check":162,"severity":29,"summary":163},"Safety","Halt on unexpected state","The reference files imply that the workflow would halt on unexpected pre-state or ambiguous situations, reporting issues clearly.",{"category":98,"check":165,"severity":29,"summary":166},"Cross-skill coupling","The skill is self-contained and does not implicitly rely on other skills, with clear documentation on its scope and purpose.",1778016835353,"This skill assists in diagnosing and resolving performance bottlenecks within Convex applications by analyzing reads, subscriptions, write contention, and function limits. It provides a structured workflow, directs users to relevant reference materials based on identified signals, and emphasizes a step-by-step approach to fixes and verification.","2.0.0","3.4.0","This skill is highly practical and well-documented, with a clear scope and robust error handling. The primary detractor is the lack of explicit usage examples and the absence of recent commits, suggesting potential unmaintained status.",88,"A well-documented and practical skill for auditing Convex performance issues, offering detailed guidance and clear problem-solving steps.",[15,16,17,18,19],"global","verified",{"codeQuality":178,"collectedAt":179,"documentation":180,"maintenance":182,"security":183,"testCoverage":185},{},1778016825741,{"descriptionLength":181,"readmeSize":8},170,{},{"hasNpmPackage":184,"smitheryVerified":184},false,{"hasCi":184,"hasTests":184},{"updatedAt":187},1778016883287,{"githubOwner":189,"githubRepo":190,"locale":23,"slug":191,"type":192},"get-convex","agent-skills","convex-performance-audit","skill",true,null,{"extract":196,"llm":199,"smithery":200},{"commitSha":197,"license":198},"b86618b5c3c4789c9fed98e84bbc34b3e8e70f20","MIT",{"promptVersionExtension":169,"promptVersionScoring":170,"score":172,"targetMarket":175,"tier":176},{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":184},{"repoId":202},"kd72tabza3sm0ht45j967f6k81864vg5",{"_creationTime":204,"_id":202,"identity":205,"providers":207,"workflow":211},1777995558409.8198,{"githubOwner":189,"githubRepo":190,"sourceUrl":206},"https://github.com/get-convex/agent-skills",{"discover":208},{"sources":209},[210],"skills-sh",{"discoverAt":212,"extractAt":213,"updatedAt":213},1777995558409,1778003554303,{"anyEnrichmentAt":215,"extractAt":213,"githubAt":216,"llmAt":187,"smitheryAt":215,"updatedAt":187},1778016861516,1778003555623,[],[219,247,274,293,321,342],{"_creationTime":220,"_id":221,"community":222,"display":223,"identity":232,"providers":236,"relations":241,"workflow":243},1778054123074.2515,"k17an427chh58vrfr9bqc9zfa5867a4z",{"reviewCount":8},{"description":224,"installMethods":225,"name":226,"sourceUrl":227,"tags":228},"Deep Core Web Vitals and page speed audit. Use when the user asks about page speed, Core Web Vitals, LCP, CLS, INP, FCP, TTFB, Lighthouse scores, why a page is slow, performance optimization, or resource size analysis. For broader technical SEO issues, see diagnose-seo.",{},"Audit Speed","https://github.com/calm-north/seojuice-skills/tree/HEAD/skills/audit-speed",[229,16,230,231,18,17],"seo","web-vitals","lighthouse",{"githubOwner":233,"githubRepo":234,"locale":23,"slug":235,"type":192},"calm-north","seojuice-skills","audit-speed",{"extract":237,"llm":239},{"commitSha":238,"license":198},"c1f633bea512365ba04477076369e418ecc82ffd",{"promptVersionExtension":169,"promptVersionScoring":170,"score":240,"targetMarket":175,"tier":176},95,{"repoId":242},"kd77p09fwtcsr2sfmxw6921ek1864v0a",{"anyEnrichmentAt":244,"extractAt":245,"githubAt":244,"llmAt":246,"updatedAt":246},1778054123513,1778054123074,1778054162250,{"_creationTime":248,"_id":249,"community":250,"display":251,"identity":261,"providers":264,"relations":268,"workflow":270},1778053269518.5881,"k177wxssjdrgvnn2kdjw0zgb7d867n56",{"reviewCount":8},{"description":252,"installMethods":253,"name":254,"sourceUrl":255,"tags":256},"Async/await and Promise optimization guidelines. Use when writing, reviewing, or refactoring asynchronous code to eliminate waterfalls and maximize parallelism. Triggers on tasks involving data fetching, loaders, actions, or Promise handling.",{},"Async Best Practices","https://github.com/sergiodxa/agent-skills/tree/HEAD/skills/frontend-async-best-practices",[257,258,16,18,259,260],"javascript","async","promises","typescript",{"githubOwner":262,"githubRepo":190,"locale":23,"slug":263,"type":192},"sergiodxa","frontend-async-best-practices",{"extract":265,"llm":267},{"commitSha":266,"license":198},"40e21b46189d5c7de6610b68a25280af863f8775",{"promptVersionExtension":169,"promptVersionScoring":170,"score":240,"targetMarket":175,"tier":176},{"repoId":269},"kd73wtzzjgc8jttgs0x15sp8s9865fzg",{"anyEnrichmentAt":271,"extractAt":272,"githubAt":271,"llmAt":273,"updatedAt":273},1778053270043,1778053269518,1778053306113,{"_creationTime":275,"_id":276,"community":277,"display":278,"identity":286,"providers":288,"relations":291,"workflow":292},1778053269518.589,"k1771mns3f2gw8hennvnkezwth867pj6",{"reviewCount":8},{"description":279,"installMethods":280,"name":281,"sourceUrl":282,"tags":283},"JavaScript performance optimization guidelines. Use when writing, reviewing, or refactoring JavaScript/TypeScript code to ensure optimal performance patterns. Triggers on tasks involving loops, data structures, DOM manipulation, or general JS optimization.",{},"JavaScript Best Practices","https://github.com/sergiodxa/agent-skills/tree/HEAD/skills/frontend-js-best-practices",[257,260,16,18,284,285],"best-practices","code-quality",{"githubOwner":262,"githubRepo":190,"locale":23,"slug":287,"type":192},"frontend-js-best-practices",{"extract":289,"llm":290},{"commitSha":266,"license":198},{"promptVersionExtension":169,"promptVersionScoring":170,"score":240,"targetMarket":175,"tier":176},{"repoId":269},{"anyEnrichmentAt":271,"extractAt":272,"githubAt":271,"llmAt":273,"updatedAt":273},{"_creationTime":294,"_id":295,"community":296,"display":297,"identity":307,"providers":310,"relations":315,"workflow":317},1778053622473.6594,"k171jc4epkmqq2y76n42e3eg0s866rf8",{"reviewCount":8},{"description":298,"installMethods":299,"name":300,"sourceUrl":301,"tags":302},"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",[303,304,305,306,19],"writing","analysis","non-fiction","diagnostic",{"githubOwner":308,"githubRepo":190,"locale":23,"slug":309,"type":192},"jwynia","blind-spot-detective",{"extract":311,"llm":313},{"commitSha":312,"license":198},"e02ec7e226a6e4f8419fd3b88a1d8e472d421b32",{"promptVersionExtension":169,"promptVersionScoring":170,"score":314,"targetMarket":175,"tier":176},99,{"repoId":316},"kd7efn3mprpa8rd8vm5hw5ebzx864fph",{"anyEnrichmentAt":318,"extractAt":319,"githubAt":318,"llmAt":320,"updatedAt":320},1778053625386,1778053622473,1778054012696,{"_creationTime":322,"_id":323,"community":324,"display":325,"identity":334,"providers":336,"relations":340,"workflow":341},1778053269518.59,"k1735q99n2jwhd044ytk55bcyn8678g9",{"reviewCount":8},{"description":326,"installMethods":327,"name":328,"sourceUrl":329,"tags":330},"React Router performance and architecture patterns. Use when writing loaders, actions, forms, routes, or working with React Router data fetching. Triggers on tasks involving React Router routes, data loading, form handling, or route organization.",{},"React Router Best Practices","https://github.com/sergiodxa/agent-skills/tree/HEAD/skills/frontend-react-router-best-practices",[331,332,16,333,260,284],"react-router","frontend","architecture",{"githubOwner":262,"githubRepo":190,"locale":23,"slug":335,"type":192},"frontend-react-router-best-practices",{"extract":337,"llm":338},{"commitSha":266,"license":198},{"promptVersionExtension":169,"promptVersionScoring":170,"score":339,"targetMarket":175,"tier":176},98,{"repoId":269},{"anyEnrichmentAt":271,"extractAt":272,"githubAt":271,"llmAt":273,"updatedAt":273},{"_creationTime":343,"_id":344,"community":345,"display":346,"identity":357,"providers":361,"relations":365,"workflow":367},1778054663200.0623,"k1787qemz1vae1jy4xsx7c2zyn867dwd",{"reviewCount":8},{"description":347,"installMethods":348,"name":349,"sourceUrl":350,"tags":351},"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",[352,353,354,355,19,356],"customer-experience","journey-mapping","strategy","marketing","reporting",{"githubOwner":358,"githubRepo":359,"locale":23,"slug":360,"type":192},"onewave-ai","claude-skills","customer-journey-mapper",{"extract":362,"llm":364},{"commitSha":363,"license":198},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271",{"promptVersionExtension":169,"promptVersionScoring":170,"score":339,"targetMarket":175,"tier":176},{"repoId":366},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"anyEnrichmentAt":368,"extractAt":369,"githubAt":368,"llmAt":370,"updatedAt":370},1778054667983,1778054663200,1778055270278]