technical-writing
Technical writing skills for blogs, documentation, and developer content
发现 research content creation 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Technical writing skills for blogs, documentation, and developer content
Creating compelling technical content for developer audiences
Public speaking techniques for developer conferences, meetups, and presentations
Technical blogging strategies, SEO, and content creation for developer audiences
Creating tutorials, code samples, and example applications for developer onboarding
Technical video production including tutorials, live streams, and YouTube content
Social media strategy for developers including Twitter/X, LinkedIn, and community platforms
CFP submissions, talk preparation, and conference speaking strategies
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoid...
This skill generates planning documents (기획서) in PowerPoint format from analyzed screen data and project artifacts. It should be invoked by the /auto-draft skill during Phase 4 to create the final PPT output...
Automate first-pass customization of a new ShipAny (ShipAny Two) project from a short project brief (app name, domain/app URL, product description/features, reference links, and branding preferences). Use when...
Create new dynamic pages from a short spec (keywords, route/path, reference content).
Content OS orchestrator - the master skill that produces ALL content types from one seed idea (forward mode) or splits long-form content into short-form pieces (backward mode). Invokes research, writing, qualit...
Write data-driven, evidence-first long-form Twitter posts on medicine and cardiology. Use when the user wants to: (1) Create thought leadership content in the style of Eric Topol, Peter Attia, Andrew Huberman,...
Comprehensive content marketing toolkit for discovering viral content opportunities, social listening, knowledge gap analysis, and content demand assessment across platforms. Use when researching trending topic...
Analyzes medical education content ideas from PDFs/DOCX files to predict viral potential (views, likes, shares, AVD) and provides actionable insights. Use when the user needs to evaluate content ideas for engag...
Transform long-form cardiology content (YouTube transcripts, newsletters, PDFs, knowledge bases) into high-quality thought leadership content across multiple formats. Use when the user wants to repurpose medica...
Generate scientifically accurate, engaging cardiology tweets for thought leadership. Use when creating social media content for a cardiologist targeting patients, health enthusiasts, health optimizers, people w...
End-to-end YouTube content creation for cardiology channels. Use when user wants to create YouTube videos about cardiology, heart health, or cardiovascular topics. Triggers on greetings with content intent, req...
Pre-publication quality assurance for cardiology thought leadership content. Use AFTER any content is drafted to evaluate scientific rigor, voice authenticity, positioning alignment, audience calibration, and c...
Transform thought dumps into polished cardiology content in Eric Topol's Ground Truths voice. Use when the user wants to write cardiology articles, newsletters, video scripts, or educational content from scatte...
Write data-driven, evidence-first long-form Twitter posts on medicine and cardiology. Use when the user wants to: (1) Create thought leadership content in the style of Eric Topol, Peter Attia, Andrew Huberman,...
Three-agent SEO audit pipeline. Scrapes your content → analyzes SERP competitors → generates prioritized optimization report with P0/P1/P2 recommendations. Use BEFORE and AFTER publishing to maximize organic re...
Comprehensive academic textbook chapter writing system for medical/scientific content. Use when the user wants to: (1) Write a full textbook chapter (5,000-15,000 words) on any medical/scientific topic, (2) Gen...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。