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Skills IA testing security content creation

Découvrez les skills testing security content creation, comparez leurs dépôts et consultez leurs instructions.

Catégories: testing security content creation

721–744 sur 3,928

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Explorer

GitHub

release-writer

lemline

Generate user-oriented release notes for open-source projects, following best practices that help users understand what changed, why it matters, and how to adopt new features.

GitHub

news-extractor

NanmiCoder

新闻站点内容提取。支持微信公众号、今日头条、网易新闻、搜狐新闻、腾讯新闻。当用户需要提取新闻内容、抓取公众号文章、爬取新闻、或获取新闻JSON/Markdown时激活。

GitHub

scrapedo-web-scraper

artwist-polyakov

Веб-скрапинг через Scrape.do. Используй, если не получается посмотреть какой-то сайт (URL).

GitHub

technical-writing

proffesor-for-testing

Write clear, engaging technical content from real experience. Use when writing blog posts, documentation, tutorials, or technical articles.

GitHub

youtube-strategy

dgalarza

Invoke this skill whenever you are working on something related to YouTube. Assists in generating essential elements that drive engagement and discovery.

GitHub

competitive-analyst

zenobi-us

Expert competitive analyst specializing in competitor intelligence, strategic analysis, and market positioning. Masters competitive benchmarking, SWOT analysis, and strategic recommendations with focus on creat...

GitHub

accessibility-tester

zenobi-us

Expert accessibility tester specializing in WCAG compliance, inclusive design, and universal access. Masters screen reader compatibility, keyboard navigation, and assistive technology integration with focus on...

GitHub

technical-writer

zenobi-us

Expert technical writer specializing in clear, accurate documentation and content creation. Masters API documentation, user guides, and technical content with focus on making complex information accessible and...

GitHub

content-marketer

zenobi-us

Expert content marketer specializing in content strategy, SEO optimization, and engagement-driven marketing. Masters multi-channel content creation, analytics, and conversion optimization with focus on building...

GitHub

seo-specialist

zenobi-us

Expert SEO strategist specializing in technical SEO, content optimization, and search engine rankings. Masters both on-page and off-page optimization, structured data implementation, and performance metrics to...

GitHub

resonance-seo

manusco

SEO Specialist. Use this for Search Engine Optimization, Generative Engine Optimization (GEO), and schema markup.

GitHub

browser-automation

lovedragonball

Automate browser interactions including form filling, clicking, typing, navigation, and screenshot capture. Use this skill when testing web apps, automating uploads, or validating UI on TikTok, YouTube, or othe...

GitHub

image-generation

alchaincyf

自动为文章生成配图,支持AI生成图片、公共领域图片、免费图库图片,并上传到ImgBB图床生成Markdown链接。当用户提到"配图"、"插图"、"图片"、"生成图片"、"文章配图"时使用此技能。

GitHub

video-outline-generation

alchaincyf

快速生成2-3个视频脚本大纲方案,包含标题建议、缩略图设计建议和完整的结构设计。当用户提到"视频大纲"、"视频脚本"、"视频策划"、"拍视频"、"视频内容"时使用此技能。

GitHub

topic-generation

alchaincyf

快速生成3-4个文章选题方向,包含标题建议、内容大纲、工作量评估、目标受众分析和优劣势分析。当用户提到"选题"、"写什么"、"内容选题"、"文章方向"、"创作灵感"时使用此技能。

GitHub

video-script-collaborial

alchaincyf

将视频脚本转换为更适合实际录制的口语化表达,去除书面化语言,增加自然感和亲和力。当用户提到"视频脚本"、"录制"、"口语化"、"自然一点"、"像说话一样"、"太书面了"时使用此技能。

GitHub

video-thumbnail-check

alchaincyf

基于MrBeast策略检查视频标题、缩略图和内容钩子,优化点击率和观看时长。当用户提到"视频标题"、"封面图"、"缩略图"、"点击率"、"CTR"、"观看时长"、"视频开头"时使用此技能。

GitHub

article-to-x

alchaincyf

将3000-5000字长篇文章转换为200-500字X平台(微博/小红书等)内容,保持真实风格,提供3种开头风格。当用户提到"转微博"、"发小红书"、"社交媒体"、"缩短内容"、"精简"时使用此技能。

GitHub

marketing-content-strategy

vasilyu1983

Content strategy and operations for marketing teams. Positioning, messaging hierarchy, content pillars, editorial calendars, trust-building content, brand architecture, and measurement. Use for content strategy...

GitHub

marketing-paid-advertising

vasilyu1983

Paid advertising strategy for Google, Meta, TikTok, LinkedIn - campaign structure, bidding, audiences, creative, measurement, budget allocation, unit economics (CAC/LTV), revenue attribution, payback period, an...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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