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表情符号检测器 + 规则解释器）、个人资料优化器、内容规划器、员工宣传、线程监控器（作者-回复跟踪）、参与者分析（点赞者/评论者 ICP 细分）。",{"claudeCode":56},"sergebulaev/linkedin-skills",{"_creationTime":58,"_id":59,"extensionId":5,"locale":21,"result":60,"trustSignals":245,"workflow":259},1778697300956.3406,"kn7afwwh4gsrz7ngf0m5ke3ejh86ndwg",{"checks":61,"evaluatedAt":209,"extensionSummary":210,"features":211,"nonGoals":217,"practices":221,"prerequisites":226,"promptVersionExtension":230,"promptVersionScoring":26,"purpose":231,"rationale":232,"score":233,"summary":234,"tags":235,"tier":238,"useCases":239,"workflow":244},[62,67,70,73,77,80,84,89,92,95,99,103,107,111,114,117,120,123,126,129,133,137,141,145,149,152,156,160,164,167,170,173,176,179,182,186,190,193,196,200,203,206],{"category":63,"check":64,"severity":65,"summary":66},"Practical Utility","Problem relevance","pass","该描述清楚地指出了与 LinkedIn 营销相关的具体用户问题，例如帖子撰写、评论草稿和个人资料优化。",{"category":63,"check":68,"severity":65,"summary":69},"Unique selling proposition","通过提供用于 LinkedIn 内容创建、审核和分析的专用工具，利用自定义逻辑和外部服务，这些技能提供了超越简单提示的显著价值。",{"category":63,"check":71,"severity":65,"summary":72},"Production readiness","该扩展似乎已为生产做好准备，提供了一套完整的 LinkedIn 营销任务工具，包括撰写、审核、规划和参与度监控。",{"category":74,"check":75,"severity":65,"summary":76},"Scope","Single responsibility principle","该扩展专注于一个连贯的领域：面向 AI 代理的 LinkedIn 营销和内容管理。",{"category":74,"check":78,"severity":65,"summary":79},"Description quality","显示的描述准确而简洁地反映了扩展的功能，列出了特定的 LinkedIn 增长功能。",{"category":81,"check":82,"severity":65,"summary":83},"Invocation","Scoped tools","这些技能似乎是由针对特定 LinkedIn 任务的狭窄的动词-名词专业工具组成的，而不是一个通用的命令。",{"category":85,"check":86,"severity":87,"summary":88},"Documentation","Configuration & parameter reference","info","虽然 README 详细介绍了 Apify 和 Publora 等可选集成，但它没有明确记录核心技能的所有参数或其默认值，也没有详细说明配置文件或继承顺序。",{"category":74,"check":90,"severity":65,"summary":91},"Tool naming","工具名称具有描述性，并且特定于 LinkedIn 营销任务，例如“帖子撰写器”和“评论起草器”。",{"category":74,"check":93,"severity":65,"summary":94},"Minimal I/O 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issue，这表明近期活动很少，但没有积压未解决的 issue。",{"category":142,"check":143,"severity":65,"summary":144},"Versioning","Release Management","`marketplace.json` 指定了一个版本（'1.0.1'），README 也显示了一个发布徽章，表明存在版本化的发布。",{"category":146,"check":147,"severity":105,"summary":148},"Execution","Validation","虽然 URL 解析器似乎会验证 URL，但尚不清楚所有 10 个技能的所有输入参数和结构化输出是否都使用模式库进行了严格验证和清理。",{"category":108,"check":150,"severity":65,"summary":151},"Unguarded Destructive Operations","该扩展主要关注内容生成和分析，并通过 Publora 可选发布。发布操作通常受用户批准或特定计划的保护，并且设置需要明确的用户确认。",{"category":153,"check":154,"severity":87,"summary":155},"Code Execution","Error Handling","README 提到了 Publora API 调用（HTTP 401、400）和 `pip install` 失败的错误处理，表明已进行了一些错误处理，但所有内部技能操作的结构化错误报告的细节并未详细说明。",{"category":153,"check":157,"severity":158,"summary":159},"Logging","not_applicable","该扩展主要是 AI 代理的一组技能，似乎没有为除代理的 transcript 之外的操作实现自己的本地审计日志。",{"category":161,"check":162,"severity":87,"summary":163},"Compliance","GDPR","该扩展处理 LinkedIn 数据和用户提供的文本。虽然它没有明确地将 PII 提交给第三方而未经同意，但如果用户管理不当，个人数据可能会被 LLM 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Triggers on \"employee advocacy\", \"get the team posting\", \"scale LinkedIn across team\", \"advocacy ROI\".","linkedin-employee-advocacy",{"claudeCode":56},"SKILL.md frontmatter at skills/linkedin-employee-advocacy/SKILL.md",[358,359,361,363],{"path":331,"priority":285},{"path":360,"priority":304},"references/advocacy-principles.md",{"path":362,"priority":304},"references/governance-playbook.md",{"path":364,"priority":304},"references/team-cadence-matrix.md",{"basePath":366,"description":367,"displayName":368,"installMethods":369,"rationale":370,"selectedPaths":371,"source":291,"sourceLanguage":292,"type":338},"skills/linkedin-engager-analytics","Pull the people who liked or commented on any LinkedIn post and segment them by ICP fit (peer / aspirational / prospect / other). Produces an engager roster, tier breakdown, and outbound action lists (follow back, comment-drop, DM-able with one-line openers). Powered by Apify, no LinkedIn login. Triggers on \"who liked my post\", \"who engaged\", \"engagers report\", \"audience analytics\". Not for tracking author replies to your comments (use linkedin-thread-monitor).","linkedin-engager-analytics",{"claudeCode":56},"SKILL.md frontmatter at skills/linkedin-engager-analytics/SKILL.md",[372,373],{"path":331,"priority":285},{"path":374,"priority":304},"references/output-spec.md",{"basePath":376,"description":377,"displayName":378,"installMethods":379,"rationale":380,"selectedPaths":381,"source":291,"sourceLanguage":292,"type":338},"skills/linkedin-hook-extractor","Reverse-engineer the hook formula from a viral LinkedIn post URL. Returns which of the 10 canonical 2026 formulas it uses (anaphora, R.I.P., year-pivot, time-anchor, self-proving, odd-money, paid-vs-free, curiosity-gap, contrarian, comment-gate), why it worked, and a blank template. Use to learn from a competitor's post, not to write your own (use linkedin-post-writer).","linkedin-hook-extractor",{"claudeCode":56},"SKILL.md frontmatter at skills/linkedin-hook-extractor/SKILL.md",[382,383,385],{"path":331,"priority":285},{"path":384,"priority":304},"references/classification-rules.md",{"path":335,"priority":304},{"basePath":387,"description":388,"displayName":389,"installMethods":390,"rationale":391,"selectedPaths":392,"source":291,"sourceLanguage":292,"type":338},"skills/linkedin-humanizer","Scrub AI tells from any text draft OR audit a finished post against the 2026 algorithm heuristic checklist. Tier-based rewriter (forensic / strict / aesthetic / all) plus `--mode audit` for detection-only pass-fail review covering length, hook, CTA, format penalties, AI vocab. Sub-tools: emoji-pattern detector, multi-detector spread tester (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks), rule explainer. Triggers on \"humanize\", \"de-AI\", \"review this draft\", \"audit before posting\", \"is this ready\".","linkedin-humanizer",{"claudeCode":56},"SKILL.md frontmatter at skills/linkedin-humanizer/SKILL.md",[393,394,396,398,400,402,404,405,407,409,411,413,416,418],{"path":331,"priority":285},{"path":395,"priority":304},"references/audit-ai-tells.md",{"path":397,"priority":304},"references/audit-checklist.md",{"path":399,"priority":304},"references/audit-examples.md",{"path":401,"priority":304},"references/detector-list.md",{"path":403,"priority":304},"references/emoji-patterns.md",{"path":335,"priority":304},{"path":406,"priority":304},"references/rules-explainer.md",{"path":408,"priority":304},"references/scrub-rules.md",{"path":410,"priority":304},"references/tier-rationale.md",{"path":412,"priority":304},"references/voice-fingerprint.md",{"path":414,"priority":415},"scripts/detectors.env.example","low",{"path":417,"priority":415},"scripts/requirements.txt",{"path":419,"priority":415},"scripts/test_detectors.py",{"basePath":421,"description":422,"displayName":423,"installMethods":424,"rationale":425,"selectedPaths":426,"source":291,"sourceLanguage":292,"type":338},"skills/linkedin-post-writer","Draft a new LinkedIn post from scratch using a 2026 hook formula (anaphora, R.I.P., year-pivot, time-anchor, self-proving, paid-vs-free, curiosity-gap, odd-money, contrarian). Runs the humanizer pass and schedules via Publora on approval. Use when the user asks to write a post, needs a hook, or wants a proven format. Not for reviewing existing drafts (use linkedin-humanizer --mode audit).","linkedin-post-writer",{"claudeCode":56},"SKILL.md frontmatter at skills/linkedin-post-writer/SKILL.md",[427,428,430,432],{"path":331,"priority":285},{"path":429,"priority":304},"references/algorithm-heuristics.md",{"path":431,"priority":304},"references/hook-formulas.md",{"path":433,"priority":304},"references/humanizer-checklist.md",{"basePath":435,"description":436,"displayName":437,"installMethods":438,"rationale":439,"selectedPaths":440,"source":291,"sourceLanguage":292,"type":338},"skills/linkedin-profile-optimizer","Audit and rewrite a LinkedIn profile end-to-end for 2026: headline, About 7-step, Featured, banner, photo, Experience metrics, Skills, custom URL, recommendations. Triggers on \"review my profile\", \"rewrite my headline\", \"fix my About\", \"optimize banner\", \"profile audit\", \"LinkedIn bio\". Converts resume-style profiles to ones that convert 3-5x better.","linkedin-profile-optimizer",{"claudeCode":56},"SKILL.md frontmatter at skills/linkedin-profile-optimizer/SKILL.md",[441,442,444,446,448,450],{"path":331,"priority":285},{"path":443,"priority":304},"references/about-section-templates.md",{"path":445,"priority":304},"references/banner-photo-specs.md",{"path":447,"priority":304},"references/experience-skills-rules.md",{"path":449,"priority":304},"references/featured-section-playbook.md",{"path":451,"priority":304},"references/profile-headline-formulas.md",{"basePath":453,"description":454,"displayName":455,"installMethods":456,"rationale":457,"selectedPaths":458,"source":291,"sourceLanguage":292,"type":338},"skills/linkedin-reply-handler","Draft a reply to a specific existing LinkedIn comment from its URL. Use when the user wants to reply to a comment on any post, or follow up after an author replied to them. Parses the commentUrn, resolves the correct parentComment target (LinkedIn flattens threads to 2 levels), and posts via Publora on approval. Not for top-level comments (use linkedin-comment-drafter).","linkedin-reply-handler",{"claudeCode":56},"SKILL.md frontmatter at skills/linkedin-reply-handler/SKILL.md",[459,460,461,463],{"path":331,"priority":285},{"path":335,"priority":304},{"path":462,"priority":304},"references/reply-templates.md",{"path":464,"priority":304},"references/threading-rules.md",{"basePath":466,"description":467,"displayName":468,"installMethods":469,"rationale":470,"selectedPaths":471,"source":291,"sourceLanguage":292,"type":338},"skills/linkedin-thread-monitor","Track which of your LinkedIn comments earned author replies. Flags the 6-24h Kevin Payne window where thread momentum peaks, classifies threads as hot/warm/cool/dormant, and routes warm ones to linkedin-reply-handler for follow-up drafts. Powered by Apify, no LinkedIn login. Triggers on \"what threads need follow-up\", \"author replied\", \"monitor my comments\". Not for analyzing likers on a post (use linkedin-engager-analytics).","linkedin-thread-monitor",{"claudeCode":56},"SKILL.md frontmatter at skills/linkedin-thread-monitor/SKILL.md",[472,473,474],{"path":331,"priority":285},{"path":374,"priority":304},{"path":475,"priority":304},"references/thread-timing.md",{"sources":477},[478],"manual",{"closedIssues90d":11,"description":480,"forks":253,"homepage":17,"license":39,"openIssues90d":11,"pushedAt":254,"readmeSize":251,"stars":255,"topics":481},"Claude Code skills for LinkedIn growth: write human-sounding posts, craft comments that get noticed, analyze your feed, and build a publishing cadence — all from your terminal. Plug-and-play skills for content creators, founders, and marketers using Claude Code.",[237,482,483,484,485,486,487,32,29,488,489,490,491,492,493],"ai-content","ai-marketing","anthropic","awesome-claude","claude-code","claude-skills","linkedin-automation","llm-tools","mcp","personal-branding","prompt-engineering","social-media-automation",{"classifiedAt":495,"discoverAt":496,"extractAt":497,"githubAt":497,"updatedAt":495},1778697044829,1778697040628,1778697042787,[237,32,29,30,236,31],{"evaluatedAt":500,"extractAt":50,"updatedAt":260},1778697061113,[],[503,536,566],{"_creationTime":504,"_id":505,"community":506,"display":507,"identity":513,"providers":517,"relations":528,"tags":531,"workflow":532},1778693751974.8364,"k1789c0v4hwwy1w9j7hhqd9hd186nj2j",{"reviewCount":11},{"description":508,"installMethods":509,"name":511,"sourceUrl":512},"AI编码代理的上下文窗口优化。沙盒化工具输出，减少98%。支持15个平台",{"claudeCode":510},"mksglu/context-mode","context-mode","https://github.com/mksglu/context-mode",{"basePath":514,"githubOwner":515,"githubRepo":511,"locale":21,"slug":516,"type":262},".agents/plugins","mksglu","plugins",{"evaluate":518,"extract":526},{"promptVersionExtension":230,"promptVersionScoring":26,"score":519,"tags":520,"targetMarket":35,"tier":36},100,[521,522,523,236,524,525],"context","optimization","llm","code-generation","sandbox",{"commitSha":38,"marketplace":527},{"name":511,"pluginCount":11},{"repoId":529,"translatedFrom":530},"kd764b2fctbqg4b8j8y6xvmkvs86m29m","k17de181ddh1gjh0zdntr3qxyn86nqna",[524,521,523,522,236,525],{"evaluatedAt":533,"extractAt":534,"updatedAt":535},1778693535406,1778693511416,1778693751974,{"_creationTime":537,"_id":538,"community":539,"display":540,"identity":546,"providers":549,"relations":560,"tags":562,"workflow":563},1778699018122.7656,"k17cywe30jfsfw3cdpncjfn8y186nvyw",{"reviewCount":11},{"description":541,"installMethods":542,"name":544,"sourceUrl":545},"Production-ready workflow orchestration with 80 focused plugins, 185 specialized agents, and 153 skills - optimized for granular installation and minimal token usage",{"claudeCode":543},"wshobson/agents","Claude Code Plugins","https://github.com/wshobson/agents",{"basePath":19,"githubOwner":547,"githubRepo":548,"locale":292,"slug":548,"type":262},"wshobson","agents",{"evaluate":550,"extract":555},{"promptVersionExtension":230,"promptVersionScoring":26,"score":551,"tags":552,"targetMarket":35,"tier":36},99,[553,554,237,516,34,524],"workflow-orchestration","developer-tools",{"commitSha":38,"license":39,"marketplace":556,"plugin":559},{"name":557,"pluginCount":558},"claude-code-workflows",81,{"mcpCount":11,"provider":41,"skillCount":11},{"repoId":561},"kd74de64zj0axtg5b8t7eqqe2x86nske",[237,34,524,554,516,553],{"evaluatedAt":564,"extractAt":565,"updatedAt":564},1778699049186,1778699018122,{"_creationTime":567,"_id":568,"community":569,"display":570,"identity":576,"providers":579,"relations":590,"tags":592,"workflow":593},1778686640222.7908,"k17ef8php9wk308mkg59kdp6b186nzhx",{"reviewCount":11},{"description":571,"installMethods":572,"name":574,"sourceUrl":575},"Cursor plugin marketplace for Every Inc plugins",{"claudeCode":573},"EveryInc/compound-engineering-plugin","Compound Engineering","https://github.com/EveryInc/compound-engineering-plugin",{"basePath":19,"githubOwner":577,"githubRepo":578,"locale":292,"slug":578,"type":262},"EveryInc","compound-engineering-plugin",{"evaluate":580,"extract":586},{"promptVersionExtension":230,"promptVersionScoring":26,"score":551,"tags":581,"targetMarket":35,"tier":36},[582,583,584,585,237],"development-workflow","code-review","planning","documentation",{"commitSha":38,"license":39,"marketplace":587,"plugin":589},{"name":578,"pluginCount":588},2,{"mcpCount":11,"provider":41,"skillCount":11},{"repoId":591},"kd7e40my1b5g70tg0f60qg85ch86nn08",[237,583,582,585,584],{"evaluatedAt":594,"extractAt":595,"updatedAt":594},1778686722515,1778686640222]