Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
47.966 de skill-uri din 2.309 depozite · actualizat acum 7 ore
47.966 de skill-uri
- skill-xhs-comment-replyZJU-REAL/Easel小红书评论互动运营:列出我的笔记、抓取某条笔记下的评论、按画像语气逐条回复、以及删除评论 (含自己发的回复)。基于 Playwright + 持久化登录态,headless 即可运行,与 skill-xhs-publisher 共用同一登录态。评论抓取走接口响应拦截(稳);回复/删除走 DOM 文本定位(无坐标)+ 逐字符输入反检测; 带已回复去重、逐条间隔防风控、dry-run 预演。用 notes 列笔记或 fetch --url 贴链接,免手动拆 token。 触发:抓小红书评论 / 回复评论 / 删除评论 / 删评 / 维护评论区 / 看我某条笔记的评论。TestareFără avertismente★ 4,2 K↓ —
- scvi-toolsanthropics/knowledge-work-pluginsDeep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.OficialAlteleFără avertismente★ 34 K↓ —
- ml-pipeline-workflowforyourhealth111-pixel/Vibe-SkillsBuild end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.ProductivitateFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- skill-profile-builderZJU-REAL/Easel首次使用引导:从社媒链接分析、从零生成账号画像 Profile。收集社媒链接+运营意图,分析已发内容与收藏喜好,生成 6 维 Profile。当用户说 创建画像/第一次用/帮我建个人设/分析我的账号建画像/从链接生成画像 时使用。与 skill-profile-manager 的区别:本 SKILL 专做首次从零分析生成;已有画像的编辑/记忆更新/导出/对比/切换找 profile-manager。AlteleFără avertismente★ 4,2 K↓ —
- 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。RedactareFără avertismente★ 4,2 K↓ —
- post-formatterZJU-REAL/Easel用 PAS、AIDA、BAB、STAR、SLAY 等经典框架将主题结构化为社媒帖子。 200-250 字、20 行以内、移动端友好排版。适用于公众号、知乎、微博、LinkedIn 等长文帖子。 当用户说"用 PAS 写"、"AIDA 框架"、"结构化帖子"、"套框架写"时使用。 和 social-content 的区别:post-formatter 严格套用营销框架,social-content 偏自由写作。MarketingFără avertismente★ 4,2 K↓ —
- clerk-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect comprehensive debug information for Clerk issues. Use when troubleshooting complex problems, preparing support tickets, or diagnosing intermittent issues. Trigger with phrases like "clerk debug", "clerk diagnostics", "clerk support ticket", "clerk troubleshooting".InginerieFără avertismente★ 2,9 K↓ —
- social-contentZJU-REAL/Easel通用多平台社媒内容(单条/兜底):钩子文案、正文、标签策略和互动引导,主打**涨粉/互动/内容运营**, 支持微博/抖音/B站/知乎/公众号/X 等;平台不确定或要多平台一次成稿时的默认选择。 当用户说"写条微博""发个帖子""社媒文案""发什么内容""帮我写个帖""涨粉内容""互动内容"时使用。 边界:**小红书整套笔记/图文/种草**找 xhs-note-creator;**带货转化/卖点/详情页**找 copywriting; **严格套 PAS/AIDA 框架排版**找 post-formatter。MarketingFără avertismente★ 4,2 K↓ —
- beat-sync-videoZJU-REAL/Easel音乐卡点视频 / 踩点视频:检测背景音乐的节拍,让图片或片段在节拍点上切换,配推进/白闪特效,做出燃系'卡点'短视频。当用户说 卡点视频、踩点视频、音乐卡点、节奏卡点、按音乐切换、鼓点视频、踩节奏、beat 卡点、图片卡点、卡点混剪 时使用。基于 shared/scripts/beatsync.py(librosa 节拍检测)。与 slideshow-video 区别:slideshow 每图固定时长、柔和转场,本 SKILL 切换点由音乐节拍决定、硬切踩点带特效。MediaFără avertismente★ 4,2 K↓ —
- skill-content-calendar-logZJU-REAL/Easel统一内容日历底座。记录每次发布(发布页/对话页均自动落库)、用户排期、平台活动/节日/特殊日期到 一个时间线,并供 Agent 规划前读回。当用户说"内容日历""日历里有什么""接下来发什么""这周发了啥" "把这个活动记到日历""最近的发布节奏""哪个平台该更新了"时触发。是发布时间线的权威底座, 与 skill-publish-log(指标底座)互补:本底座管"何时发什么/该做什么",publish-log 管"每条数据表现"。ProductivitateFără avertismente★ 4,2 K↓ —
- skill-content-gap-analysisZJU-REAL/Easel分析社媒赛道的内容空白,发现高需求低竞争的蓝海选题机会。 当用户说"蓝海选题""内容空白""没人做的选题""选题机会""高需求低竞争""差异化选题""内容缺口"时使用。 和 skill-competitor-analysis 的区别:本 SKILL 从赛道供需交叉验证找蓝海选题空白; competitor-analysis 拆解具体竞品账号的内容策略。AlteleFără avertismente★ 4,2 K↓ —
- brief-generatoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "create an influencer brief" or "write a campaign brief"; produces a structured creator brief with deliverables, key messages, creative direction, timeline, disclosure rules, and compensation terms. Not for choosing how to split spend across creators — use budget-optimizer. 达人合作简报/创作者BFMarketingFără avertismente★ 3 K↓ —
- owner-goalsthedotmack/claude-memMap what the owner wants from the prompts they typed themselves (prompts an agent wrote are left out), then sort it into focus areas, asks and rules, each with dated quotes, and save them to My Work (areas as My Focus suggestions, rules as My Rules suggestions). Use when asked for "owner goals", "my goals", "what do I want", "what am I asking for", "map my prompts", or to refresh Goals in My Work.AlteleFără avertismente★ 105,5 K↓ —
- clari-install-authjeremylongshore/tons-of-skills-marketplaceConfigure a least-privilege Clari identity and validate Revenue API or Copilot credentials without exposing secrets. Use when starting an integration or rotating access. Trigger with: "set up Clari auth", "configure a Clari token", "test Copilot credentials".TestareFără avertismente★ 2,9 K↓ —
- cargo-fuzztrailofbits/skillsSets up and runs cargo-fuzz, the standard fuzzing tool for Cargo-based Rust projects. Covers cargo fuzz init, the nightly toolchain requirement, fuzz_target! harnesses, Arbitrary-derived structured inputs, sanitizer options, cargo fuzz coverage, and reproducing a crash artifact. Use when fuzzing a Rust crate, writing a fuzz_target!, exercising unsafe blocks or FFI in Rust, or triaging a cargo fuzz crash.RedactareFără avertismente★ 7,9 K↓ —
- skill-audience-profilerZJU-REAL/Easel构建目标受众画像:分析粉丝人群特征、痛点需求、内容偏好和触达渠道,输出可执行的受众画像卡。 当用户说"受众画像""粉丝画像""我的用户是谁""目标人群""用户痛点""受众分析""谁在看我"时使用。 构建的是受众/粉丝画像,创作者自己的声音画像用 skill-voice-builder。AlteleFără avertismente★ 4,2 K↓ —
- skill-content-repurposingZJU-REAL/Easel将一篇内容拆解改编到小红书、抖音、B站、微博等多平台,适配各平台原生格式和风格。 当用户说"一稿多发""改编到各平台""内容复用""多平台适配""这篇改成小红书/抖音""转成其他平台""一鱼多吃"时使用。 和 skill-cross-platform-diff 的区别:diff 做平台差异洞察分析(发现层);本 SKILL 实际改写内容到各平台。 和 skill-cross-platform-publish 的区别:本 SKILL 只改写适配内容,cross-platform-publish 负责实际一键分发到多平台。AlteleFără avertismente★ 4,2 K↓ —
- vaexforyourhealth111-pixel/Vibe-SkillsUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.DateFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- skill-douyin-uploadZJU-REAL/Easel将视频/图文内容发布到抖音(creator.douyin.com)。基于 Playwright + 持久化登录态,headless 即可运行, 流程与选择器移植自开源实现 douyin-upload-mcp-skill(含高清发布入口、切 tab、上传等转码、AI 封面、 发布成功 toast 校验、二维码登录)。适用场景:发布抖音视频、发布图文、扫码登录、发布前预检。TestareFără avertismente★ 4,2 K↓ —
- geomasterforyourhealth111-pixel/Vibe-SkillsComprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, and 7 programming languages (Python, R, Julia, JavaScript, C++, Java, Go) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.ȘtiințăFără avertismente★ 3,8 K↓ —
- skill-ugc-discoveryZJU-REAL/Easel发现用户生成内容(UGC)。搜索与创作者品牌/账号相关的粉丝内容、测评、提及和社区讨论, 输出高价值 UGC 列表与互动建议。当用户说"谁提到了我"、"粉丝内容"、"品牌提及"、 "UGC 发现"、"用户口碑"、"测评搜索"、"社区讨论"时触发。AlteleFără avertismente★ 4,2 K↓ —
- neon-authActualizatneondatabase/agent-skillsAdd authentication to a new app. Use for "add auth", "add login", Neon Auth (Managed Better Auth), identity routing, sign-up, sign-in, password reset, email OTP, magic links, organizations, phone OTP, OAuth, passkeys, MFA, trusted domains, invalid domain, and @neon/auth. No existing identity: default to Managed Better Auth. Keep working Better Auth, Clerk, Supabase Auth, or another IdP. User asked to migrate from Supabase Auth: Managed Better Auth. A required plugin outside Managed support: self-managed Better Auth on a Neon Function or the existing app host. Also use for auth APIs in @neon/neon-js.OficialProductivitateFără avertismente★ 108↓ —Apare și în 1 alt depozit
- video-intro-outroZJU-REAL/Easel视频片头 / 片尾:生成带标题、副标题、logo、关注引导的片头卡片和片尾卡片,并拼接到主视频(硬切或淡入淡出转场)。当用户说 片头、片尾、加片头片尾、开场卡片、结尾卡片、标题卡、关注引导页、订阅引导、视频开头加标题、结尾加点赞关注、intro、outro、片头动画 时使用。基于 shared/scripts/intro_outro.py 确定性 ffmpeg 封装。与 poster-hero 区别:poster-hero 出静态封面图,本 SKILL 出可拼接的视频卡片片段。MediaFără avertismente★ 4,2 K↓ —
- offensive-sstiSnailSploit/Claude-RedDense description covering Server-Side Template Injection across Jinja2, Twig, Freemarker, Velocity, Pebble, Smarty, Mako, Handlebars, ERB, Thymeleaf, EJS, Pug. Engine fingerprinting, filter bypass, blind exploitation, WAF evasion, SSTI-to-RCE chains. Tools: tplmap. CWE-1336. MITRE T1190. Use when testing template rendering endpoints or exploiting template injection for code execution.TestareFără avertismente★ 9,9 K↓ —
provider-docs
hashicorp/agent-skills
De la autor
Create, update, and review Terraform provider documentation for Terraform Registry using HashiCorp-recommended patterns, tfplugindocs templates, and schema descriptions. Use when adding or changing provider configuration, resources, data sources, ephemeral resources, list resources, functions, actions, or guides; when validating generated docs; and when troubleshooting missing or incorrect Registry documentation.
Instalare
npx skills add hashicorp/agent-skills --skill provider-docs -a claude-code
Se instalează în .claude/skills/provider-docs/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (MPL-2.0) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
La ce are acces
Verificări de siguranță pe SKILL.md
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De ce 90
Fișiere (3)
- SKILL.md
- agents/openai.yaml
- references/hashicorp-provider-docs.md