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audit）。",{"claudeCode":12},"sergebulaev/linkedin-skills","linkedin-post-writer","https://github.com/sergebulaev/linkedin-skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":222,"workflow":237},1778697356837.7466,"kn757jpctwx38zkpk4t7xhy02s86nbxe","zh-CN",{"checks":20,"evaluatedAt":192,"extensionSummary":193,"features":194,"nonGoals":200,"promptVersionExtension":204,"promptVersionScoring":205,"purpose":206,"rationale":207,"score":208,"summary":209,"tags":210,"tier":216,"useCases":217},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,99,103,107,110,114,117,121,124,127,130,133,136,139,143,147,150,153,157,160,163,166,169,173,176,179,182,185,189],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","描述清楚地说明了使用特定钩子公式起草 LinkedIn 帖子的难题，并说明了何时使用它，直接满足用户需求。",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","该工具通过实现特定的 2026 年钩子公式以及起草、人工化和调度帖子的结构化工作流程，提供了独特的价值，这超出了基本的 LLM 功能。",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","该工具已为生产做好准备，因为它涵盖了从起草到通过 Publora 调度的完整生命周期，并有清晰的步骤和文档化的依赖项。",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","该工具仅专注于起草和管理 LinkedIn 帖子，具有清晰定义的边界，并与其他用于审核和评论的相关工具区分开来。",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","显示的描述准确地反映了该工具的功能，包括使用特定的钩子公式、人工化流程和通过 Publora 进行调度，并附有清晰的使用说明和非目标。",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","这是一个没有显式工具的技能；其功能通过 LLM 内的提示工程来驱动。",{"category":45,"check":46,"severity":24,"summary":47},"Documentation","Configuration & parameter reference","SKILL.md 详细说明了所需的输入，如主题、角度、目标受众和期望的长度，并附有公式选择和帖子起草的清晰步骤。",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","该工具不公开特定的工具；其功能是通过自然语言调用的。",{"category":33,"check":52,"severity":24,"summary":53},"Minimal I/O 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脚本与可选的外部服务（Publora、Apify）进行交互，没有证据表明它试图修改其指定范围之外的文件。",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","该工具不使用分离的进程启动或在拒绝的工具调用周围使用重试循环。",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","该工具安全地处理用户提供的帖子内容和可选的 API 密钥。出站调用是为了预期目的而向已记录的服务（Publora、Apify）发出的。",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","捆绑的文件（SKILL.md、README、LICENSE 等）不包含隐藏文本技巧、控制字符或不可见的 Unicode 标签。",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","该工具使用的 Python 脚本是纯粹、可读的源代码，不包含 base64 负载或运行时获取代码等混淆。",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","该工具对其自身文件和清晰的输入要求之外的用户项目结构不做任何假设。",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","在过去 90 天内没有已打开和已关闭的 issue，这表明没有 issue 或维护非常近期且没有未解决的问题。",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","该存储库具有 GitHub release 标签，并且 README.md 指示了版本号，提供了清晰的版本信号。",{"category":104,"check":105,"severity":24,"summary":106},"Execution","Validation","该工具的输入（主题、受众、长度）在 LLM 的上下文中进行处理，并且外部服务调用由具有清晰参数的专用 Python 库处理。",{"category":66,"check":108,"severity":24,"summary":109},"Unguarded Destructive Operations","该工具的主要操作是起草内容，然后通过 Publora 可选地进行调度，Publora 有自己的确认机制。该工具本身不执行直接的破坏性文件操作。",{"category":111,"check":112,"severity":24,"summary":113},"Code Execution","Error Handling","用于 Apify 和 Publora 的 Python 库应能优雅地处理错误，并且 LLM 驱动的工作流程可以向用户清晰地报告问题。",{"category":111,"check":115,"severity":42,"summary":116},"Logging","该工具不执行破坏性操作或需要本地审计日志记录的出站调用，除非主机代理可能提供。",{"category":118,"check":119,"severity":24,"summary":120},"Compliance","GDPR","该工具处理用户提供的帖子内容，并且除非用户明确输入，否则不处理个人数据，也不会在未经用户批准和配置的情况下将数据提交给第三方。",{"category":118,"check":122,"severity":24,"summary":123},"Target market","该工具具有全球适用性，因为它为 LinkedIn（一个全球性平台）生成内容，并且没有区域限制。",{"category":92,"check":125,"severity":24,"summary":126},"Runtime stability","该工具依赖于标准的 Python 库和 LLM 交互，使其能够在不同的 Claude 环境中移植。",{"category":45,"check":128,"severity":24,"summary":129},"README","README 提供了该工具的全面概述、安装说明和用例，清楚地说明了扩展的目的。",{"category":33,"check":131,"severity":42,"summary":132},"Tool surface size","这是一个通过自然语言调用的单一工具，而不是一组不同的工具或命令。",{"category":40,"check":134,"severity":42,"summary":135},"Overlapping near-synonym tools","该工具通过自然语言提示调用，并且不公开具有重叠功能的工具列表。",{"category":45,"check":137,"severity":24,"summary":138},"Phantom features","所有宣传的功能，如使用特定的钩子公式和通过 Publora 进行调度，都已实现并详细记录在 SKILL.md 中。",{"category":140,"check":141,"severity":24,"summary":142},"Install","Installation instruction","README 提供了各种 Claude 环境的清晰安装说明，并包括了 Apify 和 Publora 等可选集成的设置。",{"category":144,"check":145,"severity":24,"summary":146},"Errors","Actionable error messages","来自 Publora 或 Apify 等外部服务的错误将由底层 Python 库引发，LLM 生成的错误将对用户友好。",{"category":104,"check":148,"severity":24,"summary":149},"Pinned dependencies","该工具使用了最少的 Python 依赖项，并附有清晰的安装说明，表明它们易于管理和版本控制。",{"category":33,"check":151,"severity":24,"summary":152},"Dry-run 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Use when the user wants to plan a week or month of content, not draft a single post.","linkedin-content-planner",{"claudeCode":12},"SKILL.md frontmatter at skills/linkedin-content-planner/SKILL.md",[377,378,380],{"path":363,"priority":319},{"path":379,"priority":336},"references/example-plan-week.md",{"path":381,"priority":336},"references/pillars-framework.md",{"basePath":383,"description":384,"displayName":385,"installMethods":386,"rationale":387,"selectedPaths":388,"source":325,"sourceLanguage":254,"type":243},"skills/linkedin-employee-advocacy","Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on \"employee advocacy\", \"get the team posting\", \"scale LinkedIn across team\", \"advocacy ROI\".","linkedin-employee-advocacy",{"claudeCode":12},"SKILL.md frontmatter at skills/linkedin-employee-advocacy/SKILL.md",[389,390,392,394],{"path":363,"priority":319},{"path":391,"priority":336},"references/advocacy-principles.md",{"path":393,"priority":336},"references/governance-playbook.md",{"path":395,"priority":336},"references/team-cadence-matrix.md",{"basePath":397,"description":398,"displayName":399,"installMethods":400,"rationale":401,"selectedPaths":402,"source":325,"sourceLanguage":254,"type":243},"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":12},"SKILL.md frontmatter at skills/linkedin-engager-analytics/SKILL.md",[403,404],{"path":363,"priority":319},{"path":405,"priority":336},"references/output-spec.md",{"basePath":407,"description":408,"displayName":409,"installMethods":410,"rationale":411,"selectedPaths":412,"source":325,"sourceLanguage":254,"type":243},"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":12},"SKILL.md frontmatter at skills/linkedin-hook-extractor/SKILL.md",[413,414,416],{"path":363,"priority":319},{"path":415,"priority":336},"references/classification-rules.md",{"path":367,"priority":336},{"basePath":418,"description":419,"displayName":420,"installMethods":421,"rationale":422,"selectedPaths":423,"source":325,"sourceLanguage":254,"type":243},"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":12},"SKILL.md frontmatter at skills/linkedin-humanizer/SKILL.md",[424,425,427,429,431,433,435,436,438,440,442,444,447,449],{"path":363,"priority":319},{"path":426,"priority":336},"references/audit-ai-tells.md",{"path":428,"priority":336},"references/audit-checklist.md",{"path":430,"priority":336},"references/audit-examples.md",{"path":432,"priority":336},"references/detector-list.md",{"path":434,"priority":336},"references/emoji-patterns.md",{"path":367,"priority":336},{"path":437,"priority":336},"references/rules-explainer.md",{"path":439,"priority":336},"references/scrub-rules.md",{"path":441,"priority":336},"references/tier-rationale.md",{"path":443,"priority":336},"references/voice-fingerprint.md",{"path":445,"priority":446},"scripts/detectors.env.example","low",{"path":448,"priority":446},"scripts/requirements.txt",{"path":450,"priority":446},"scripts/test_detectors.py",{"basePath":240,"description":452,"displayName":13,"installMethods":453,"rationale":454,"selectedPaths":455,"source":325,"sourceLanguage":254,"type":243},"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).",{"claudeCode":12},"SKILL.md frontmatter at skills/linkedin-post-writer/SKILL.md",[456,457,459,461],{"path":363,"priority":319},{"path":458,"priority":336},"references/algorithm-heuristics.md",{"path":460,"priority":336},"references/hook-formulas.md",{"path":462,"priority":336},"references/humanizer-checklist.md",{"basePath":464,"description":465,"displayName":466,"installMethods":467,"rationale":468,"selectedPaths":469,"source":325,"sourceLanguage":254,"type":243},"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":12},"SKILL.md frontmatter at skills/linkedin-profile-optimizer/SKILL.md",[470,471,473,475,477,479],{"path":363,"priority":319},{"path":472,"priority":336},"references/about-section-templates.md",{"path":474,"priority":336},"references/banner-photo-specs.md",{"path":476,"priority":336},"references/experience-skills-rules.md",{"path":478,"priority":336},"references/featured-section-playbook.md",{"path":480,"priority":336},"references/profile-headline-formulas.md",{"basePath":482,"description":483,"displayName":484,"installMethods":485,"rationale":486,"selectedPaths":487,"source":325,"sourceLanguage":254,"type":243},"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":12},"SKILL.md frontmatter at skills/linkedin-reply-handler/SKILL.md",[488,489,490,492],{"path":363,"priority":319},{"path":367,"priority":336},{"path":491,"priority":336},"references/reply-templates.md",{"path":493,"priority":336},"references/threading-rules.md",{"basePath":495,"description":496,"displayName":497,"installMethods":498,"rationale":499,"selectedPaths":500,"source":325,"sourceLanguage":254,"type":243},"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":12},"SKILL.md frontmatter at skills/linkedin-thread-monitor/SKILL.md",[501,502,503],{"path":363,"priority":319},{"path":405,"priority":336},{"path":504,"priority":336},"references/thread-timing.md",{"sources":506},[507],"manual",{"closedIssues90d":8,"description":509,"forks":230,"homepage":14,"license":234,"openIssues90d":8,"pushedAt":231,"readmeSize":228,"stars":232,"topics":510},"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.",[272,511,512,513,514,515,516,270,211,517,518,519,520,521,522],"ai-content","ai-marketing","anthropic","awesome-claude","claude-code","claude-skills","linkedin-automation","llm-tools","mcp","personal-branding","prompt-engineering","social-media-automation",{"classifiedAt":524,"discoverAt":525,"extractAt":526,"githubAt":526,"updatedAt":524},1778697044829,1778697040628,1778697042787,[213,211,212,215,214],{"evaluatedAt":529,"extractAt":286,"updatedAt":238},1778697203030,[],[532,564,589,616,635,662],{"_creationTime":533,"_id":534,"community":535,"display":536,"identity":542,"providers":546,"relations":557,"tags":560,"workflow":561},1778675056600.264,"k17169sg21srwv5sf3enw3dgcd86m4sh",{"reviewCount":8},{"description":537,"installMethods":538,"name":540,"sourceUrl":541},"When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific strategies.",{"claudeCode":539},"alirezarezvani/claude-skills","Social Content","https://github.com/alirezarezvani/claude-skills",{"basePath":543,"githubOwner":544,"githubRepo":516,"locale":254,"slug":545,"type":243},"marketing-skill/skills/social-content","alirezarezvani","social-content",{"evaluate":547,"extract":556},{"promptVersionExtension":204,"promptVersionScoring":205,"score":548,"tags":549,"targetMarket":273,"tier":216},100,[212,215,270,550,551,552,211,553,554,555],"content-strategy","scheduling","twitter","instagram","tiktok","facebook",{"commitSha":276,"license":234},{"parentExtensionId":558,"repoId":559},"k170sws65f0ebecn36z3q8c2z186m477","kd7ff9s1w43mfyy1n7hf87816186m6px",[270,550,555,553,211,212,551,215,554,552],{"evaluatedAt":562,"extractAt":563,"updatedAt":562},1778685179349,1778675056600,{"_creationTime":565,"_id":566,"community":567,"display":568,"identity":574,"providers":578,"relations":583,"tags":585,"workflow":586},1778690923100.0317,"k178s10hpb7tefhznd4y9aw0sx86me2k",{"reviewCount":8},{"description":569,"installMethods":570,"name":572,"sourceUrl":573},"LinkedIn post writing with hook formulas, formatting rules, and engagement patterns. Covers post types, algorithm signals, character limits, and content pillars. Use for: LinkedIn posts, professional content, thought leadership, B2B content, personal branding. Triggers: linkedin post, linkedin content, linkedin writing, linkedin strategy, linkedin engagement, linkedin algorithm, linkedin hook, linkedin formatting, thought leadership, professional content, b2b content, linkedin growth",{"claudeCode":571},"inferen-sh/skills","linkedin-content","https://github.com/inferen-sh/skills",{"basePath":575,"githubOwner":576,"githubRepo":577,"locale":254,"slug":572,"type":243},"guides/social/linkedin-content","inferen-sh","skills",{"evaluate":579,"extract":582},{"promptVersionExtension":204,"promptVersionScoring":205,"score":580,"tags":581,"targetMarket":273,"tier":216},99,[211,270,215,214,212],{"commitSha":276},{"repoId":584},"kd75bmkxfkvvw504knzzpkzjph86n71t",[270,211,212,215,214],{"evaluatedAt":587,"extractAt":588,"updatedAt":587},1778691443037,1778690923100,{"_creationTime":590,"_id":591,"community":592,"display":593,"identity":599,"providers":603,"relations":610,"tags":612,"workflow":613},1778697513812.0593,"k17a20wb5skzqbbxh7gms1p30h86n366",{"reviewCount":8},{"description":594,"installMethods":595,"name":597,"sourceUrl":598},"Write blog posts, guides, tutorials, and long-form content. Sounds like a real person, not AI. Use when the user wants polished written content.",{"claudeCode":596},"spartan-stratos/spartan-ai-toolkit","article-writing","https://github.com/spartan-stratos/spartan-ai-toolkit",{"basePath":600,"githubOwner":601,"githubRepo":602,"locale":254,"slug":597,"type":243},".codex/skills/article-writing","spartan-stratos","spartan-ai-toolkit",{"evaluate":604,"extract":609},{"promptVersionExtension":204,"promptVersionScoring":205,"score":548,"tags":605,"targetMarket":273,"tier":216},[214,213,606,607,608],"blog-posts","editing","long-form",{"commitSha":276},{"repoId":611},"kd73rjj0rnrv7y0rz9qc3psn0586n75g",[606,213,607,608,214],{"evaluatedAt":614,"extractAt":615,"updatedAt":614},1778697566395,1778697513812,{"_creationTime":617,"_id":618,"community":619,"display":620,"identity":623,"providers":624,"relations":631,"tags":632,"workflow":633},1778697045057.978,"k1709qff277g3qreq668nrfj0d86nrrb",{"reviewCount":8},{"description":419,"installMethods":621,"name":622,"sourceUrl":14},{"claudeCode":12},"LinkedIn Humanizer",{"basePath":418,"githubOwner":241,"githubRepo":242,"locale":254,"slug":420,"type":243},{"evaluate":625,"extract":630},{"promptVersionExtension":204,"promptVersionScoring":205,"score":548,"tags":626,"targetMarket":273,"tier":216},[627,628,211,213,629],"ai-detection","text-rewriting","nlp",{"commitSha":276,"license":234},{"parentExtensionId":246,"repoId":282},[627,213,211,629,628],{"evaluatedAt":634,"extractAt":286,"updatedAt":634},1778697181923,{"_creationTime":636,"_id":637,"community":638,"display":639,"identity":645,"providers":648,"relations":655,"tags":658,"workflow":659},1778691104676.0024,"k1774xvkdd90hm8spynfw373tn86nkme",{"reviewCount":8},{"description":640,"installMethods":641,"name":643,"sourceUrl":644},"Generate a vertical story image for TikTok or Instagram book promotion with cover art, hook text, and author branding.",{"claudeCode":642},"iterationlayer/skills","generate-social-media-book-promo","https://github.com/iterationlayer/skills",{"basePath":646,"githubOwner":647,"githubRepo":577,"locale":254,"slug":643,"type":243},"skills/generate-social-media-book-promo","iterationlayer",{"evaluate":649,"extract":654},{"promptVersionExtension":204,"promptVersionScoring":205,"score":548,"tags":650,"targetMarket":273,"tier":216},[651,212,215,652,653],"image-generation","book-promotion","api",{"commitSha":276},{"parentExtensionId":656,"repoId":657},"k1721s0xmp59902ybtpakrrffn86n10s","kd76p4g2qmtrkgx99cnab3683d86n4g8",[653,652,651,212,215],{"evaluatedAt":660,"extractAt":661,"updatedAt":660},1778693472094,1778691104676,{"_creationTime":663,"_id":664,"community":665,"display":666,"identity":672,"providers":677,"relations":684,"tags":686,"workflow":687},1778685991755.7354,"k170s484eessgyjzgnczc91n5186mbcr",{"reviewCount":8},{"description":667,"installMethods":668,"name":670,"sourceUrl":671},"Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.",{"claudeCode":669},"davila7/claude-code-templates","Competitive Ads Extractor","https://github.com/davila7/claude-code-templates",{"basePath":673,"githubOwner":674,"githubRepo":675,"locale":254,"slug":676,"type":243},"cli-tool/components/skills/business-marketing/competitive-ads-extractor","davila7","claude-code-templates","competitive-ads-extractor",{"evaluate":678,"extract":683},{"promptVersionExtension":204,"promptVersionScoring":205,"score":548,"tags":679,"targetMarket":273,"tier":216},[212,680,681,215,682],"competitor-analysis","advertising","data-extraction",{"commitSha":276,"license":234},{"repoId":685},"kd71fzn4s7r0269fkw47wt670n86ndz0",[681,680,682,212,215],{"evaluatedAt":688,"extractAt":689,"updatedAt":688},1778689511404,1778685991755]