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.
48.622 de skill-uri din 2.355 de depozite · actualizat acum 18 ore
48.620 de skill-uri
- tao-train-single-stepNVIDIA/skillsStandard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "normal training", "no AutoML", "skip the loop". Routes through the per-model SKILL.md for action specifics and through `tao-launch-workflow` for platform/credentials/dataset intake.PlanificareFără avertismente★ 3,8 K↓ —
- ci-pipeline-synthesizerkajisho5/ffmpeg-skillGenerate GitHub Actions CI/CD pipeline configurations for automated building and testing of library and package projects. Use when creating or updating CI workflows for npm packages, Python packages, Go modules, Rust crates, or other library projects that need automated build and test pipelines. Includes templates for common package ecosystems with best practices for dependency caching, matrix testing, and artifact publishing.TestareFără avertismente★ 4,2 K↓ —
- paid-ads-chatgptnowork-studio/notfair-pluginPlan and review ChatGPT Ads experiments without assuming ad inventory, account access, or platform capabilities. Use for ChatGPT advertising, OpenAI ads, conversational ad concepts, ChatGPT campaign plans, or performance reviews from a verified export.MarketingFără avertismente★ 4,1 K↓ —
- canva-load-scalejeremylongshore/tons-of-skills-marketplaceDesign a mock-first Canva capacity test and a tightly authorized provider probe. Use when sizing queues, workers, token-refresh serialization, or endpoint concurrency without inventing universal quotas. Trigger with: "load test Canva", "size Canva workers", "Canva capacity plan".TestareFără avertismente★ 2,9 K↓ —
- skill-campaign-plannerZJU-REAL/Easel活动/营销策划(国内本地化):为节日营销、电商大促(618/双11/年货节)、新品发布、活动造势 制定完整方案——目标拆解、营销节奏(预热-爆发-返场)、多平台内容矩阵、互动玩法、KOL 分层、 预算分配、风险合规、效果指标。当用户说"营销方案""活动策划""大促方案""618/双11 怎么做" "节日营销""新品发布方案""造势""campaign""营销节奏""怎么搞活动"时使用。MarketingFără avertismente★ 4,3 K↓ —
- skill-algorithm-updatesZJU-REAL/Easel追踪抖音、小红书、B站、微博、知乎和视频号的算法、推荐分发、审核与变现规则变化,并分析对创作者的影响。 当用户说“算法/推荐机制变了吗、流量规则更新、为什么流量下降、平台规则变化”时使用。 内容热点用 skill-trending-topics;泛行业资讯用 skill-news-intelligence;本 SKILL 只看平台机制。AlteleFără avertismente★ 4,3 K↓ —
- audio-editingZJU-REAL/Easel通用音频处理:音频剪辑/裁剪、格式转码(mp3/wav/m4a/aac)、音量归一化、从视频提取音轨、多段拼接、淡入淡出、变速(保音高)。当用户说“剪音频”“裁一段”“转成 mp3”“调音量/响度”“提取音轨/扒音频”“拼接音频”“淡入淡出”“加速/减速音频”“变速不变调”时使用。与 audio-denoise 的区别:audio-denoise 专做降噪,audio-editing 做除降噪外的通用音频操作(也内置 denoise 作为兜底)。MediaFără avertismente★ 4,3 K↓ —
- 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。MediaFără avertismente★ 4,3 K↓ —
- 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。ProductivitateFără avertismente★ 4,3 K↓ —
- 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。AlteleFără avertismente★ 4,3 K↓ —
- 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。MediaFără avertismente★ 4,3 K↓ —
- copywritingZJU-REAL/Easel国内带货转化营销文案:提炼卖点并产出种草、信息流广告、活动促销、电商详情页或落地页的标题、正文和 CTA。 当用户说“写种草/广告/活动/促销/详情页/落地页文案、提炼卖点、广告语”时使用。 整套小红书笔记用 xhs-note-creator;涨粉互动内容用 social-content;严格套 PAS/AIDA 等框架用 post-formatter。MarketingFără avertismente★ 4,3 K↓ —
- doca-container-deploymentNVIDIA/skillsRunning an in-bundle DOCA service as a container on a BlueField (Argus, DMS, Firefly, or UROM service): kubelet standalone watching a static-pod manifests directory, YAML pod-spec drop, kubelet status / ENTRYPOINT logs / per-service liveness. Trigger on "how do I run my built service on the BlueField?", "where do I drop the pod-spec YAML?", "pod stuck in Pending / ImagePullBackOff / CrashLoopBackOff", "container Running but service isn't ready", "pod restart-loops after edit", or "DMS and Firefly together", even without naming container deployment. A DOCA-linked binary launched directly on the host or Arm belongs to doca-bare-metal-deployment. Covers smoke-before-bulk and the layered error taxonomy (pod-spec, scheduling, image pull, runtime, mount, network, version, host). Refuse and route elsewhere for per-service config schemas, DOCA install, library-API questions, external NVIDIA services (BlueMan, HBN, SNAP, Virtio-net), or full Kubernetes-cluster ops.DevOpsFără avertismente★ 3,8 K↓ —
- 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)。AlteleFără avertismente★ 4,3 K↓ —
- provider-ephemeral-resourceshashicorp/agent-skillsImplement Terraform provider ephemeral resources with the Plugin Framework: the Open/Renew/Close lifecycle, ephemeral schema design, registration via EphemeralResources, renewal for expiring credentials, and how ephemeral values flow into write-only attributes and provider configuration. Use when adding an ephemeral resource, exposing secrets/tokens/certificates that must never persist in state or plan, deciding between an ephemeral resource and a data source, or wiring short-lived credentials from one provider into another.OficialDevOpsFără avertismente★ 911↓ —
- 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)。TestareFără avertismente★ 4,3 K↓ —
- dwarf-experttrailofbits/skillsAnalyzes DWARF debug information in compiled binaries. Use when inspecting .debug_* sections, DIE trees, or DW_TAG_/DW_AT_ entries with dwarfdump/llvm-dwarfdump or readelf, verifying debug info with llvm-dwarfdump --verify, answering DWARF standard questions, or writing code that parses DWARF (libdwarf, pyelftools, gimli).RedactareFără avertismente★ 7,9 K↓ —
- 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。AlteleFără avertismente★ 4,3 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★ 4,3 K↓ —
- adobe-hello-worldjeremylongshore/tons-of-skills-marketplaceProve one Adobe API connection with a current, read-only or synthetic operation and a content-safe receipt. Use during onboarding before any production workflow. Use when the task requires adobe minimal access proof. Trigger with "Adobe hello world", "test Adobe connection", or "verify Adobe entitlement".TestareFără avertismente★ 2,9 K↓ —
- guarding-destructive-operationskajisho5/ffmpeg-skillAdd and review preconditions on operations that delete, overwrite, rewrite history, or resolve a caller-supplied name to a filesystem path — refusing instead of warning, placing the guard ahead of the first mutation, structural classification rather than string-prefix matching, name validation plus resolved-path containment as two independent checks, why a guard on the destructive path is invisible to the dry-run, and mutation-testing each half separately. Use when writing or reviewing a `--rebuild`/`--reset`/`--purge` command, a bulk delete, a history rewrite, an `rm -rf`-shaped step, or any code that turns an argument into a file path.TestareFără avertismente★ 4,2 K↓ —
- 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★ 4,3 K↓ —
- 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。TestareFără avertismente★ 4,3 K↓ —
- 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★ 4,3 K↓ —
kiro-spec-design
gotalab/cc-sdd
DesignActualizat 22 oct. 2026
De la autor
Create comprehensive technical design for a specification
Instalare
npx skills add gotalab/cc-sdd --skill kiro-spec-design -a claude-code
Se instalează în .claude/skills/kiro-spec-design/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (1)
- SKILL.md