Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
48,622 skills from 2,355 repositories · updated 14 hours ago
48,622 skills
- image-editingZJU-REAL/Easel通用图像处理加工:改尺寸/缩放、裁剪、补边适配平台尺寸、格式转换(png/jpg/webp)、 压缩到目标大小、加文字或图片水印、圆角、多图拼接、生成缩略图、读图片信息。 基于 image_ops.py 确定性处理。 使用时机:用户说"改尺寸"、"缩放图片"、"裁剪"、"压缩图片"、"加水印"、"转格式"、 "圆角"、"拼图/多图联排"、"缩略图"、"适配小红书/朋友圈尺寸"、"把图 pad 成 1:1"。 和 card-*(卡片类)的区别:card-* 是"HTML 设计→渲染出图", image-editing 只加工已有图片,不负责视觉设计。MediaNo warnings★ 4.3K↓ —
- impeccableUpdatedpbakaus/impeccableUse when the user wants to design, redesign, shape, critique, audit, polish, simplify, harden, animate, or otherwise improve a frontend interface: websites, landing pages, dashboards, product UI, components, forms, settings, onboarding, empty states, and native iOS or Android screens. Handles UX review, hierarchy, layout, typography, color, motion, UX copy, accessibility, responsive behavior, edge cases, and capturing or documenting design systems (DESIGN.md, tokens). Also for making bland UI bolder, loud UI quieter, or ambitious visual effects. Not for backend-only or non-UI tasks.DesignNo warnings★ 98.9K↓ —
- image-enhanceZJU-REAL/Easel图片增强 / 放大 / 变清晰:高质量放大(Lanczos 2x/4x)+ 去噪 + 锐化 + 自动对比度/饱和度,改善偏糊、偏暗、噪点多的图片。当用户说 图片放大、图片变清晰、提高清晰度、图片增强、去噪点、锐化、图片太糊了、放大到高清、提升画质、优化图片、图片调亮调色 时使用。基于 shared/scripts/img_enhance.py(Pillow+OpenCV)。注意:这是传统增强非 AI 超分,凭空生成细节请用 ai-image-gen 图生图。与 image-editing 区别:那个做缩放/裁切/水印等常规操作,本 SKILL 专做画质提升。MediaNo warnings★ 4.3K↓ —
- skill-community-opsZJU-REAL/Easel评论区运营与舆情危机应对:为一批评论生成分层回复模板(赞美/提问/求购/杠精/黑粉) 与分级处理规则,从评论中挖掘选题反哺内容,负面事件时做危机分级 + 声明草稿 + 统一口径。 当用户说"回复评论"、"评论区运营"、"评论怎么回"、"钓评论"、"引导互动"、 "评论区选题"、"舆情"、"危机公关"、"差评"、"黑粉"、"被骂了"、"道歉声明"、 "统一口径"、"负面缠上来了"、"翻车了怎么办"时触发。 和 skill-quality-gate 的区别:quality-gate 是发布前合规质检, community-ops 是发布后的评论互动与危机响应。OtherNo warnings★ 4.3K↓ —
- skill-content-calendarZJU-REAL/Easel生成月度社媒内容排期表:逐条选题+角度+视觉方向,覆盖小红书/抖音/B站/微博。 当用户说"内容排期""月度日历""发布计划""内容日历""排期表""这个月发什么""内容节奏表"时使用。 消费 skill-content-strategy 定义的支柱与 shared 频率基线,只出具体排期不重复定义支柱理论。ProductivityNo warnings★ 4.3K↓ —
- skill-carousel-plannerZJU-REAL/Easel规划轮播图/多图笔记的分页结构:封面 Hook、内容节奏、每页文案和视觉方向、CTA 设计,附互动评分。 当用户说"轮播图策划""多图笔记""图集结构""分页设计""九宫格怎么排""每页写什么""carousel"时使用。 本 SKILL 出分页结构与文案规划(策划层);实际渲染卡片图用 card-xiaohongshu / xhs-note-creator。PlanningNo warnings★ 4.3K↓ —
- card-xiaohongshuZJU-REAL/Easel把已有卡片文案渲染为 1080×1440 小红书竖版知识卡片组,并按 card-design 选择视觉风格。当用户说“渲染/制作小红书卡片、知识卡、滑动卡片组”时使用。整套笔记策划与文案用 xhs-note-creator;横版金句卡用 card-quote。DesignNo warnings★ 4.3K↓ —
- skill-xhs-publisherZJU-REAL/Easel将图文/视频内容发布到小红书(XHS)。基于 Playwright + 持久化登录态,headless 即可运行, 流程与选择器移植自成熟开源实现 xiaohongshu-mcp(含发布成功校验、上传完成等待、话题联想绑定、 新旧发布按钮兼容、反检测)。适用场景:发布图文笔记、发布视频、扫码登录、发布前预检。TestingNo warnings★ 4.3K↓ —
- multi-voice-dubbingZJU-REAL/Easel多角色对话配音:按 cast 和逐行对白为不同角色分配音色与情绪,合成多声线音轨和带角色名字幕。 当用户说“多角色/双人/剧本/对话配音、多人对白、不同角色不同声音、有声剧配音”时使用。 单一公共音色用 tts-voiceover;克隆本人音色用 voice-clone;整部短剧制作由 short-drama 编排。OtherNo warnings★ 4.3K↓ —
- skill-zhihu-answerZJU-REAL/Easel知乎问答回答发布:在知乎问题下发布原创回答——搜热门问题、检查可答性、写内容、 Playwright 发布(绕 header 遮挡 + JS 遍历发布按钮)。当用户说"回答知乎问题""在知乎问答下回答" "发知乎回答""知乎答题""帮我回答这个知乎问题""批量回答知乎"时使用。与 skill-zhihu-publisher 区别:那个发**专栏文章**(zhuanlan),本 SKILL 专发**问答区的回答**;回答内容写作用制作层 SKILL (novel-writer / copywriting)。TestingNo warnings★ 4.3K↓ —
- skill-collab-proposalZJU-REAL/Easel品牌合作方案与联名策划。当用户提到"品牌合作"、"商单方案"、"合作报价"、"联名"、"联动方案"、 "博主合作"、"品牌植入"、"商务合作"、"合作提案"时触发。支持两种模式:商单方案(品牌找上门, 基于 KOL 定价表生成报价、内容形式、排期、KPI 预估)和联名策划(与博主/品牌联动,生成双方 优势互补、内容分工、互推策略)。OtherNo warnings★ 4.3K↓ —
- skill-trend-riderZJU-REAL/Easel给定一个热点事件或话题,结合创作者账号定位,输出蹭热点的具体内容方案。 包含切入角度、内容形式、标题建议、风险提醒。 当用户说"这个热点怎么蹭"、"蹭热点"、"怎么结合"、"热点和我有关吗"、 "追热点"、"热点方案"、"借势"、"怎么追这个热点"、"热点怎么切"时触发。 和 skill-trending-topics 的区别:trending-topics 发现和筛选热点, trend-rider 拿到一个具体热点后规划怎么蹭、怎么切内容。OtherNo warnings★ 4.3K↓ —
- skill-voice-builderZJU-REAL/Easel通过结构化访谈和写作样本分析,构建创作者个人声音画像(语气/用词/节奏/风格),确保后续内容风格一致。 当用户说"声音画像""我的写作风格""风格一致""建立人设语气""voice/tone""我的表达习惯""统一文风"时使用。 和 skill-audience-profiler 的区别:本 SKILL 建创作者自己的声音画像;audience-profiler 建目标受众/粉丝画像。WritingNo warnings★ 4.3K↓ —
- style-transferZJU-REAL/Easel文案风格迁移:把一段文案从一种风格改写成另一种风格(严肃→搞笑、书面→口语、文艺→直白、正式→社交媒体感), 支持风格参考(给一段目标风格的示例文本)。 使用时机:用户说"改成搞笑风格"、"换个风格"、"风格迁移"、"改成口语化"、"改成文艺风"、 "像 XX 那样写"、"风格改写"、"换个腔调"。 和 text-polisher 的区别:polisher 提升质量不改风格,style-transfer 改变风格不做质量评估。OtherNo warnings★ 4.3K↓ —
- holoscan-install-containerNVIDIA/skillsInstall and verify the Holoscan SDK 5.x CUDA 13 development container after checking release availability and host compatibility.OtherNo warnings★ 3.8K↓ —
- gsd:helpdavepoon/buildwithclaudeShow available GSD commands and usage guideOtherNo warnings★ 3.7K↓ —
- ops-inboxdavepoon/buildwithclaudeFull inbox management across all channels — WhatsApp (wacli), Email (Gmail MCP), Slack (MCP), Telegram (user-auth MCP), Discord (webhook + REST read), Notion (MCP — comments, mentions, assigned tasks). Scans FULL inbox (not just unread), identifies messages needing replies, archives handled conversations.ProductivityNo warnings★ 3.7K↓ —
- ctf-osintljagiello/ctf-skillsProvides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS records, username enumeration, reverse image search, Google dorking, Wayback Machine, Tor relays, FEC filings, or identifying unknown data like hashes and coordinates.MediaNo warnings★ 3.6K↓ —
- figma-automationdavepoon/buildwithclaudeAutomate Figma tasks via Rube MCP (Composio): files, components, design tokens, comments, exports. Always search tools first for current schemas.DesignNo warnings★ 3.7K↓ —
- instrument-data-to-allotropeanthropics/knowledge-work-pluginsConvert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.OfficialDataNo warnings★ 34.3K↓ —
- principle-prove-it-worksbacknotprop/pstackApply after completing a task, before declaring done. Verify against the real artifact (run the feature, read the actual value, inspect the diff), not a proxy, self-report, or 'it compiles.'ProductivityNo warnings★ 3.3K↓ —Also in 2 other repos
- miro-hello-worldjeremylongshore/tons-of-skills-marketplaceDesign and implement a bounded, read-only Miro connectivity probe that proves authorization context before writes are enabled. Use when smoke-testing a new Miro integration. Trigger with "test Miro connection".TestingNo warnings★ 2.9K↓ —
- stakeholder-updatejeremylongshore/tons-of-skills-marketplaceCreate and review stakeholder status updates, progress reports, and executive summaries. Use when the user needs to write concise upward communication. Trigger with "stakeholder update", "status update", "progress report", "update leadership", "weekly update", or "executive summary".WritingNo warnings★ 2.9K↓ —
- skill-article-outlineZJU-REAL/Easel生成长文大纲:基于搜索分析生成 H2/H3 标题结构、段落字数目标、图表位置和 FAQ 规划,适用于公众号文章、知乎专栏、博客。 当用户说"文章大纲""长文结构""公众号大纲""知乎回答框架""写作提纲""文章框架""H2/H3 结构"时使用。WritingNo warnings★ 4.3K↓ —
voice-dossier-builder
aaron-he-zhu/aaron-marketing-skills
From the author
Use when the user asks to "codify how our founder sounds", "build a founder voice dossier", or "set our content pillars"; runs an 80%-extraction interview over the user's OWN posts, emails, and decks (never competitor scraping, never an invented persona) and produces the versioned voice record — a per-platform register map (incl. 小红书/微信公众号), banned phrases, per-context disclosure lines (the ECHO C2 upstream), a few-shot bank built exclusively from own posts, and 3-5 content pillars with Estimated %-allocations — submitted via memory/events/channels.ndjson for channel-registry to store as voice-dossier.md, the record every Craft-phase skill reads first. Not for the brand-level voice canon — use brand-language-codifier; not for audience/persona research — use audience-mapper. 声音档案/品牌语气/创始人语气/内容支柱/披露声明
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill voice-dossier-builder -a claude-code
Installs to .claude/skills/voice-dossier-builder/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
No warnings.
Why 90
Files (1)
- SKILL.md