[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-dontbesilent2025-dbs-hook-hi":3,"guides-for-dontbesilent2025-dbs-hook":273,"similar-k174jgw2erc9rb8pevh6k0wz1h8660tq":274},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":19,"identity":188,"isFallback":193,"parentExtension":194,"providers":248,"relations":252,"repo":253,"workflow":272},1778053172687.5188,"k174jgw2erc9rb8pevh6k0wz1h8660tq",[],{"reviewCount":8},0,{"description":10,"name":11,"sourceUrl":12,"tags":13},"dontbesilent 短视频开头优化。诊断开头问题 + 生成优化方案。 触发方式：/dbs-hook、/hook、「帮我优化开头」「开头怎么写」 Short video opening optimization with diagnosis and solutions. Trigger: /dbs-hook, \"optimize my opening\", \"how to write opening\"","dontbesilent 短视频开头优化","https://github.com/dontbesilent2025/dbskill/tree/HEAD/skills/dbs-hook",[14,15,16,17,18],"video","optimization","content-creation","marketing","llm",{"_creationTime":20,"_id":21,"extensionId":5,"locale":22,"result":23,"trustSignals":177,"workflow":186},1778053288253.0637,"kn7dhg4zdm4veqfvx52nvfbs35866d1d","en",{"checks":24,"evaluatedAt":167,"extensionSummary":168,"promptVersionExtension":169,"promptVersionScoring":170,"rationale":171,"score":172,"summary":173,"tags":174,"targetMarket":175,"tier":176},[25,30,33,36,40,43,47,52,55,58,63,68,71,75,78,81,84,87,90,93,97,101,105,109,113,116,119,122,126,129,132,135,138,141,145,148,151,154,157,160,164],{"category":26,"check":27,"severity":28,"summary":29},"Practical Utility","Problem relevance","pass","The description clearly states the user problem: optimizing short video openings, including diagnosis and solution generation.",{"category":26,"check":31,"severity":28,"summary":32},"Unique selling proposition","The skill offers a structured diagnostic approach to short video openings, focusing on content quality and specific optimization techniques, which goes beyond basic LLM capabilities.",{"category":26,"check":34,"severity":28,"summary":35},"Production readiness","The skill provides a comprehensive workflow for diagnosing and optimizing video openings, including content analysis, specific formulaic approaches, and output formatting, suggesting readiness for real use.",{"category":37,"check":38,"severity":28,"summary":39},"Scope","Single responsibility principle","The skill is focused on optimizing short video openings and diagnosing content issues related to openings, fitting a single, coherent workflow.",{"category":37,"check":41,"severity":28,"summary":42},"Description quality","The provided description accurately and concisely reflects the skill's functionality, including trigger phrases and core purpose.",{"category":44,"check":45,"severity":28,"summary":46},"Invocation","Scoped tools","The skill uses scoped tools and a structured workflow with distinct phases for diagnosis and solution generation, avoiding a single generalist tool.",{"category":48,"check":49,"severity":50,"summary":51},"Documentation","Configuration & parameter reference","not_applicable","The skill does not appear to have configurable parameters or explicit configuration files beyond its core instructions.",{"category":37,"check":53,"severity":28,"summary":54},"Tool naming","The skill is clearly named 'dbs-hook' and its functionality is described well within the context.",{"category":37,"check":56,"severity":28,"summary":57},"Minimal I/O surface","The skill expects the user to provide the video script and outputs structured diagnostic reports and optimization suggestions, which is a well-defined I/O.",{"category":59,"check":60,"severity":61,"summary":62},"License","License usability","warning","The license is CC BY-NC 4.0, which is a non-commercial license and may restrict usability for some users. The license is clearly stated in a LICENSE file.",{"category":64,"check":65,"severity":66,"summary":67},"Maintenance","Commit recency","critical","The 'Last commit on default branch (pushedAt)' is marked as 'n/a', indicating no commits or lack of metadata to determine recency, suggesting potential abandonment.",{"category":64,"check":69,"severity":50,"summary":70},"Dependency Management","No third-party dependencies were detected that require specific management.",{"category":72,"check":73,"severity":50,"summary":74},"Security","Secret Management","The skill does not handle or require any secrets.",{"category":72,"check":76,"severity":28,"summary":77},"Injection","The skill's logic focuses on text analysis and generation based on provided scripts, with no indication of loading untrusted external data as instructions.",{"category":72,"check":79,"severity":28,"summary":80},"Transitive Supply-Chain Grenades","The skill operates solely on provided text and does not fetch remote content or execute external scripts, mitigating supply-chain risks.",{"category":72,"check":82,"severity":28,"summary":83},"Sandbox Isolation","The skill operates on text input and generates text output, not interacting with the file system or external resources that would require sandbox escape precautions.",{"category":72,"check":85,"severity":28,"summary":86},"Sandbox escape primitives","No detached-process spawns or deny-retry loops were found as the skill is text-based.",{"category":72,"check":88,"severity":28,"summary":89},"Data Exfiltration","The skill's function is to process and analyze text, with no outbound network calls or mechanisms for exfiltrating data.",{"category":72,"check":91,"severity":28,"summary":92},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks, control characters, or invisible Unicode characters.",{"category":94,"check":95,"severity":28,"summary":96},"Hooks","Opaque code execution","The skill logic is presented in readable markdown and no obfuscated code, base64 payloads, or runtime fetches are used.",{"category":98,"check":99,"severity":28,"summary":100},"Portability","Structural Assumption","The skill operates on provided text and does not make assumptions about the user's project structure or file layout.",{"category":102,"check":103,"severity":66,"summary":104},"Trust","Issues Attention","Issues Opened (last 90d, currently open) is n/a and Issues Closed (last 90d) is n/a, indicating no recent or historical issue activity, which suggests a lack of maintainer engagement.",{"category":106,"check":107,"severity":66,"summary":108},"Versioning","Release Management","Manifest Version is 'n/a', and there are no GitHub release tags or a CHANGELOG.md file, and install instructions reference 'HEAD' (implied by git URL without specific branch/tag), making versioning unclear.",{"category":110,"check":111,"severity":50,"summary":112},"Code Execution","Validation","The skill is primarily text-based and does not involve executing arbitrary code or handling structured data requiring validation libraries.",{"category":72,"check":114,"severity":28,"summary":115},"Unguarded Destructive Operations","The skill is purely analytical and text-based, involving no destructive operations.",{"category":110,"check":117,"severity":28,"summary":118},"Error Handling","The skill's logic is based on text processing and structured output generation, with no complex execution paths prone to unhandled errors.",{"category":110,"check":120,"severity":50,"summary":121},"Logging","The skill does not perform destructive actions or outbound calls, so local audit logging is not applicable.",{"category":123,"check":124,"severity":28,"summary":125},"Compliance","GDPR","The skill processes provided text and does not inherently handle personal data. If personal data is included in the input script, it is processed by the LLM, but the skill itself does not perform additional sanitization or transmission.",{"category":123,"check":127,"severity":28,"summary":128},"Target market","The skill operates on generic video optimization principles and language, with no specific regional or jurisdictional logic detected, making it globally applicable.",{"category":98,"check":130,"severity":28,"summary":131},"Runtime stability","The skill is text-based and relies on standard LLM processing, making it portable across different environments that support LLM interactions.",{"category":44,"check":133,"severity":28,"summary":134},"Precise Purpose","The skill's purpose (short video opening optimization) and triggers are clearly defined in the description and frontmatter.",{"category":44,"check":136,"severity":28,"summary":137},"Concise Frontmatter","The frontmatter is concise, clearly states the skill's purpose, and provides trigger phrases without excessive keywords.",{"category":48,"check":139,"severity":28,"summary":140},"Concise Body","The SKILL.md body is well-structured with phases and tables, keeping the core instructions concise and delegating detailed examples and case studies to separate sections.",{"category":142,"check":143,"severity":28,"summary":144},"Context","Progressive Disclosure","The skill uses sections and tables within SKILL.md to structure information, and embeds examples and case studies in dedicated sections, demonstrating progressive disclosure.",{"category":142,"check":146,"severity":50,"summary":147},"Forked exploration","The skill is not an exploration-heavy skill; it performs analysis and provides structured output rather than deep code review or multi-file inspection.",{"category":26,"check":149,"severity":28,"summary":150},"Usage examples","The SKILL.md includes detailed examples for both the core optimization techniques and the structure of the output, making it easy to understand usage and expected results.",{"category":26,"check":152,"severity":28,"summary":153},"Edge cases","The skill addresses edge cases such as content quality issues, short text bodies, and lack of materials, providing clear 'stop' or 'warning' conditions and next steps.",{"category":110,"check":155,"severity":50,"summary":156},"Tool Fallback","The skill does not rely on external tools like MCP servers and operates independently.",{"category":98,"check":158,"severity":28,"summary":159},"Stack assumptions","The skill's assumptions are minimal, primarily relying on LLM processing capabilities and user-provided text, with no specific OS or environment requirements stated.",{"category":161,"check":162,"severity":28,"summary":163},"Safety","Halt on unexpected state","The skill explicitly defines conditions for halting optimization (e.g., content quality issues) and provides clear guidance on next steps or required user actions.",{"category":98,"check":165,"severity":28,"summary":166},"Cross-skill coupling","The skill is self-contained and does not appear to rely on other skills being loaded simultaneously. It provides clear instructions for its scope.",1778053205394,"This skill analyzes short video scripts to identify issues with content quality and opening hooks, then generates optimized opening suggestions. It provides a structured workflow for diagnosis and offers multiple optimization strategies based on content extraction, augmentation, and suspense building.","2.0.0","3.4.0","The extension has critical findings for 'Commit recency', 'Issues Attention', and 'Release Management', indicating a lack of maintenance and unclear versioning, which are significant trust issues.",40,"A skill focused on optimizing short video openings by diagnosing content quality and suggesting improvements.",[14,15,16,17,18],"global","flagged",{"codeQuality":178,"collectedAt":179,"documentation":180,"maintenance":182,"security":183,"testCoverage":185},{},1778053194482,{"descriptionLength":181,"readmeSize":8},203,{},{"hasNpmPackage":184,"smitheryVerified":184},false,{"hasCi":184,"hasTests":184},{"updatedAt":187},1778053288253,{"githubOwner":189,"githubRepo":190,"locale":22,"slug":191,"type":192},"dontbesilent2025","dbskill","dbs-hook","skill",true,{"_creationTime":195,"_id":196,"community":197,"display":198,"identity":208,"parentExtension":210,"providers":242,"relations":246,"workflow":247},1778053172687.5183,"k176n6tdvkx0xbdavjz1nv4b3h866veg",{"reviewCount":8},{"description":199,"installMethods":200,"name":11,"sourceUrl":201,"tags":202},"dontbesilent 短视频开头优化。诊断开头问题 + 生成优化方案。",{},"https://github.com/dontbesilent2025/dbskill",[14,203,204,205,206,207,16],"hook","opening","short-video","douyin","chinese",{"githubOwner":189,"githubRepo":190,"locale":22,"slug":191,"type":209},"plugin",{"_creationTime":211,"_id":212,"community":213,"display":214,"identity":224,"providers":227,"relations":237,"workflow":239},1778053172687.513,"k177pj7y8n3bt1g3qss80tbs85866zne",{"reviewCount":8},{"description":215,"installMethods":216,"name":217,"sourceUrl":201,"tags":218},"dontbesilent 商业诊断工具箱 — 从 12,307 条推文中提炼方法论，做成 17 个 Claude Code skill",{},"dontbesilent Business Diagnostic Toolkit",[219,16,220,221,207,222,223],"business-diagnostics","workflow","tool","ai-assistant","consulting",{"githubOwner":189,"githubRepo":190,"locale":22,"slug":225,"type":226},"dontbesilent-skills","marketplace",{"extract":228,"llm":234},{"commitSha":229,"license":230,"marketplace":231},"82ad0b438a95e6a350ff26febbcfd0d309feb134","CC BY-NC 4.0",{"name":225,"pluginCount":232,"version":233},17,"2.8.0",{"promptVersionExtension":169,"promptVersionScoring":170,"score":235,"targetMarket":175,"tier":236},75,"evaluated",{"repoId":238},"kd79vvh7s9ep69hsn7agrem6s1864j2b",{"anyEnrichmentAt":240,"extractAt":241,"githubAt":240,"llmAt":187,"updatedAt":187},1778053174293,1778053172687,{"extract":243,"llm":244},{"commitSha":229,"license":230},{"promptVersionExtension":169,"promptVersionScoring":170,"score":245,"targetMarket":175,"tier":176},25,{"parentExtensionId":212,"repoId":238},{"anyEnrichmentAt":240,"extractAt":241,"githubAt":240,"llmAt":187,"updatedAt":187},{"extract":249,"llm":251},{"commitSha":229,"license":250},"CC-BY-NC-4.0",{"promptVersionExtension":169,"promptVersionScoring":170,"score":172,"targetMarket":175,"tier":176},{"parentExtensionId":196,"repoId":238},{"_creationTime":254,"_id":238,"identity":255,"providers":256,"workflow":269},1777995558409.854,{"githubOwner":189,"githubRepo":190,"sourceUrl":201},{"discover":257,"github":260},{"sources":258},[259],"skills-sh",{"closedIssues90d":261,"forks":262,"license":263,"openIssues90d":264,"pushedAt":265,"readmeSize":266,"stars":267,"topics":268},2,597,"NOASSERTION",5,1777975009000,11370,4243,[],{"discoverAt":270,"extractAt":271,"githubAt":271,"updatedAt":271},1777995558409,1778053176182,{"anyEnrichmentAt":240,"extractAt":241,"githubAt":240,"llmAt":187,"updatedAt":187},[],[275,305,337,364,384,411],{"_creationTime":276,"_id":277,"community":278,"display":279,"identity":289,"providers":293,"relations":299,"workflow":301},1778054086261.0906,"k173essf79wsmej31f7hydqnj5867s8q",{"reviewCount":8},{"description":280,"installMethods":281,"name":282,"sourceUrl":283,"tags":284},"Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.",{},"Context Optimization Techniques","https://github.com/bilalmk/todo_correct/tree/HEAD/.claude/skills/mjs/context-optimization",[285,15,18,286,287,288],"context","performance","cost","latency",{"githubOwner":290,"githubRepo":291,"locale":22,"slug":292,"type":192},"bilalmk","todo_correct","context-optimization",{"extract":294,"llm":297},{"commitSha":295,"license":296},"8b43aa04bd5c53e3cda46469b953684519a84ea7","MIT-0",{"promptVersionExtension":169,"promptVersionScoring":170,"score":298,"targetMarket":175,"tier":176},49,{"repoId":300},"kd75ecf652eb91ha327s8bqbex865z6v",{"anyEnrichmentAt":302,"extractAt":303,"githubAt":302,"llmAt":304,"updatedAt":304},1778054086910,1778054086261,1778054163453,{"_creationTime":306,"_id":307,"community":308,"display":309,"identity":320,"providers":324,"relations":331,"workflow":333},1778054663200.0623,"k1787qemz1vae1jy4xsx7c2zyn867dwd",{"reviewCount":8},{"description":310,"installMethods":311,"name":312,"sourceUrl":313,"tags":314},"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",[315,316,317,17,318,319],"customer-experience","journey-mapping","strategy","documentation","reporting",{"githubOwner":321,"githubRepo":322,"locale":22,"slug":323,"type":192},"onewave-ai","claude-skills","customer-journey-mapper",{"extract":325,"llm":328},{"commitSha":326,"license":327},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271","MIT",{"promptVersionExtension":169,"promptVersionScoring":170,"score":329,"targetMarket":175,"tier":330},98,"verified",{"repoId":332},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"anyEnrichmentAt":334,"extractAt":335,"githubAt":334,"llmAt":336,"updatedAt":336},1778054667983,1778054663200,1778055270278,{"_creationTime":338,"_id":339,"community":340,"display":341,"identity":350,"providers":354,"relations":358,"workflow":360},1778054123074.2559,"k171bg90a9mh96w2p4em6tn7zh8676as",{"reviewCount":8},{"description":342,"installMethods":343,"name":344,"sourceUrl":345,"tags":346},"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",[347,348,349,17,318],"seo","ai","content-optimization",{"githubOwner":351,"githubRepo":352,"locale":22,"slug":353,"type":192},"calm-north","seojuice-skills","optimize-for-ai",{"extract":355,"llm":357},{"commitSha":356,"license":327},"c1f633bea512365ba04477076369e418ecc82ffd",{"promptVersionExtension":169,"promptVersionScoring":170,"score":329,"targetMarket":175,"tier":330},{"repoId":359},"kd77p09fwtcsr2sfmxw6921ek1864v0a",{"anyEnrichmentAt":361,"extractAt":362,"githubAt":361,"llmAt":363,"updatedAt":363},1778054123513,1778054123074,1778054162250,{"_creationTime":365,"_id":366,"community":367,"display":368,"identity":377,"providers":379,"relations":382,"workflow":383},1778054123074.2544,"k172pgwpkswfgmfgyvc8pzzrfn866ea6",{"reviewCount":8},{"description":369,"installMethods":370,"name":371,"sourceUrl":372,"tags":373},"Build a prioritized keyword list for a website, topic, or campaign. Use when the user asks about keyword research, finding keywords to target, building a keyword list, search demand, keyword difficulty, intent mapping, or which keywords to prioritize. For writing content around keywords, see brief. For grouping keywords into clusters, see build-clusters.",{},"Find Keywords","https://github.com/calm-north/seojuice-skills/tree/HEAD/skills/find-keywords",[347,374,375,17,376],"keyword-research","content-strategy","seo-tools",{"githubOwner":351,"githubRepo":352,"locale":22,"slug":378,"type":192},"find-keywords",{"extract":380,"llm":381},{"commitSha":356,"license":327},{"promptVersionExtension":169,"promptVersionScoring":170,"score":329,"targetMarket":175,"tier":330},{"repoId":359},{"anyEnrichmentAt":361,"extractAt":362,"githubAt":361,"llmAt":363,"updatedAt":363},{"_creationTime":385,"_id":386,"community":387,"display":388,"identity":397,"providers":401,"relations":405,"workflow":407},1778053148350.4714,"k17bf7x1rt5k8v06gn11f93wqh866gc4",{"reviewCount":8},{"description":389,"installMethods":390,"name":391,"sourceUrl":392,"tags":393},"SEO strategy and optimization - keyword research, on-page SEO, technical audits, content optimization, and rank tracking",{},"SEO Optimizer","https://github.com/claude-office-skills/skills/tree/HEAD/seo-optimizer",[347,394,349,395,396,17,318],"keywords","search","organic-traffic",{"githubOwner":398,"githubRepo":399,"locale":22,"slug":400,"type":192},"claude-office-skills","skills","seo-optimizer",{"extract":402,"llm":404},{"commitSha":403,"license":327},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":169,"promptVersionScoring":170,"score":329,"targetMarket":175,"tier":330},{"repoId":406},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":408,"extractAt":409,"githubAt":408,"llmAt":410,"updatedAt":410},1778053151766,1778053148350,1778053561145,{"_creationTime":412,"_id":413,"community":414,"display":415,"identity":426,"providers":428,"relations":431,"workflow":432},1778053148350.4426,"k17b6hmh6m4wn9pt1ebcdkd2ys866xwb",{"reviewCount":8},{"description":416,"installMethods":417,"name":418,"sourceUrl":419,"tags":420},"Automate Facebook and Instagram advertising campaigns, audience targeting, and performance optimization",{},"Facebook/Meta Ads","https://github.com/claude-office-skills/skills/tree/HEAD/facebook-ads",[421,422,423,17,424,425],"facebook","instagram","ads","advertising","mcp",{"githubOwner":398,"githubRepo":399,"locale":22,"slug":427,"type":192},"facebook-meta-ads",{"extract":429,"llm":430},{"commitSha":403,"license":327},{"promptVersionExtension":169,"promptVersionScoring":170,"score":329,"targetMarket":175,"tier":330},{"repoId":406},{"anyEnrichmentAt":408,"extractAt":409,"githubAt":408,"llmAt":410,"updatedAt":410}]