linkedin-algorithm-source 是做什么的？
linkedin-boost — Claude 技能，覆盖 LinkedIn 所有界面 — 动态流、搜索、招聘人员寻源、候选人排序 — 基于 LinkedIn 工程团队发布的机制构建，并明确哪些流行规则是传说。
linkedin-boost — Claude 技能，覆盖 LinkedIn 所有界面 — 动态流、搜索、招聘人员寻源、候选人排序 — 基于 LinkedIn 工程团队发布的机制构建，并明确哪些流行规则是传说。
这个 Claude 技能名为“linkedin-boost”，其核心目标是帮助用户理解和利用 LinkedIn 算法来优化他们在平台上的互动和可见性。该技能覆盖了 LinkedIn 的多个关键表面，包括动态流（Feed）、搜索、招聘人员寻源（Recruiter Sourcing）以及候选人排序（Applicant Ranking）。其独特之处在于，所有优化建议都严格基于 LinkedIn 工程团队已公开的技术文档和机制，而不是网络上的未经证实的“技巧”。此外，该技能会明确区分哪些流行的增长策略是经过验证的，哪些只是毫无根据的传说（Folklore），从而帮助用户避免无效操作，将精力集中在真正能影响算法排名的要素上。
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linkedin-boost — Claude 技能，覆盖 LinkedIn 所有界面 — 动态流、搜索、招聘人员寻源、候选人排序 — 基于 LinkedIn 工程团队发布的机制构建，并明确哪些流行规则是传说。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.