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.
45.604 skill-uri din 2.205 depozite · actualizat acum 18 ore
44.573 de skill-uri
- kiro-spec-quickgotalab/cc-sddQuick spec generation with interactive or automatic modePlanificareFără avertismente★ 3,7 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★ 4,1 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★ 4,1 K↓ —
- kiro-steeringgotalab/cc-sddManage {{KIRO_DIR}}/steering/ as persistent project knowledgeAlteleFără avertismente★ 3,7 K↓ —
- performance-analyzeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "analyze influencer campaign performance", "compare influencers", or "find what content worked"; produces metric scorecards vs target and benchmark, platform/influencer/content rankings, engagement-quality and sentiment reads, conversion-attribution breakdowns, and ranked learnings. Not for dollar-level return math — use roi-calculator. 达人营销效果分析/投放复盘MarketingFără avertismente★ 3 K↓ —
- skill-publish-checklistZJU-REAL/Easel发布前完整性检查:逐项检查标题、封面、标签、格式、合规标记、链接、CTA 是否齐全, 确保内容没有遗漏就能发布。当用户说"检查一下能不能发"、"发布前检查"、"checklist"、 "查漏补缺"、"发之前看一眼"、"发布清单"、"漏了什么没"、"能发了吗"时触发。 和 skill-quality-gate 的区别:quality-gate 做深度合规审核和质量评分, publish-checklist 只做"有没有漏东西"的快速完整性检查。AlteleFără avertismente★ 4,1 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★ 4,1 K↓ —
- wiki-ingestAr9av/obsidian-wikiIngest new documents, raw text, folders, or URLs into the Obsidian wiki as distilled, linked knowledge. Use for general wiki ingestion when no more specific ingest skill applies, including processing _raw/ staged content.PlanificareFără avertismente★ 3,6 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★ 4,1 K↓ —
- skill-persona-checkZJU-REAL/Easel人设一致性检查与品牌调性检查:对比内容与创作者画像的账号定位、内容赛道、形式、受众、 风格和偏好, 输出一致性评分和具体偏离点。当用户说"符合我的人设吗"、"一致性检查"、"风格对不对"、 "像我写的吗"、"品牌一致"、"调性检查"、"这是我的风格吗"、"人设偏了没"、 "语气对不对"、"品牌声音检查"时触发。 必须有 Profile 才能工作;无 Profile 时提示先创建。AlteleFără avertismente★ 4,1 K↓ —
- 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★ 4,1 K↓ —
- chart-visualizationZJU-REAL/Easel将数据可视化为图表。当用户需要生成柱状图、折线图、饼图、散点图、雷达图、桑基图、思维导图、流程图等图表时调用此技能,通过 curl 工具调用 AntV API 生成图表图片。产出静态图片 URL(25+ 类型);要本地渲染的信息图/GIF 动画图表用 infographic,要 CSV/JSON→整页报告用 data-reportDateFără avertismente★ 4,1 K↓ —
- subtitle-translateZJU-REAL/Easel字幕翻译 / 双语字幕:把已有字幕(SRT/VTT/ASS)翻译成目标语言,生成双语(原文+译文)或纯译文字幕,并可软挂载 / 硬烧录进视频。当用户说 字幕翻译、翻译字幕、双语字幕、中英字幕、给视频加翻译、SRT 翻译、字幕本地化、把字幕翻成中文/英文、字幕转双语 时使用。翻译由 LLM 完成,时间轴/格式/烧录由 shared/scripts/subtitle_ops.py 确定性处理。与 auto-subtitle 区别:auto-subtitle 是语音识别生成字幕,本 SKILL 是把已有字幕翻译成双语。AlteleFără avertismente★ 4,1 K↓ —
- skill-risk-scannerZJU-REAL/Easel内容原创度与版权风险评估:分析文案是否存在洗稿/搬运嫌疑,评估素材版权风险, 检查引用规范。基于 LLM 文本分析,不包含技术查重。 当用户说"查重"、"原创度"、"是不是抄的"、"版权风险"、"能不能用这张图"、 "音乐版权"、"原创检测"、"有没有侵权"、"素材版权"、"会不会被投诉"时触发。 和 skill-quality-gate 的区别:quality-gate 查敏感词和平台规则合规, risk-scanner 专注原创度和版权侵权风险。AlteleFără avertismente★ 4,1 K↓ —
- kiro-spec-initgotalab/cc-sddInitialize a new specification with detailed project descriptionPlanificareFără avertismente★ 3,7 K↓ —
- 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★ 4,1 K↓ —
- skill-seo-qualityZJU-REAL/Easel平台原生搜索流量优化:把内容做成能被平台搜索到的样子。 校验并优化标题/正文关键词布局、话题标签搜索权重、封面/首帧文字关键词、 搜索流量 vs 推荐流量的取舍。覆盖小红书、抖音、知乎、公众号、B站、微博。 当用户说"SEO 检查"、"搜索优化"、"关键词布局"、"搜不到我的内容"、 "怎么被搜到"、"话题标签怎么选"、"搜一搜优化"、"发布前校验"时使用。 网页/博客的 Meta/OG/Slug/E-E-A-T 校验作为可选模式保留(见 references)。MarketingFără avertismente★ 4,1 K↓ —
- kiro-validate-gapgotalab/cc-sddAnalyze implementation gap between requirements and existing codebasePlanificareFără avertismente★ 3,7 K↓ —
- video-to-articleZJU-REAL/Easel把口播、讲座、直播或 Vlog 转录并改写成小红书笔记、公众号文章或知乎内容,同时抽帧配图。当用户说“视频转图文/文章/笔记、视频扒文案、口播转文章、视频内容复用”时使用。只生成字幕文件用 auto-subtitle;翻译已有字幕用 subtitle-translate。MediaFără avertismente★ 4,1 K↓ —
- video-highlightsZJU-REAL/Easel长视频 / 直播录像高光切片:从一条长视频里找出高光片段,切成多条独立短视频,可选转竖版 9:16 + 加字幕。找点两种方式——音频能量峰值(情绪高涨/欢呼/大声处)或转录后由内容判断挑金句段。当用户说 直播切片、高光切片、长视频切短、录像剪精华、切片、高光时刻、把直播剪成短视频、提取精彩片段、长视频找亮点 时使用。基于 shared/scripts/highlight_cut.py(librosa 能量分析)。与 clipify 区别:clipify 专做英文口播找笑点+动态人脸pan,本 SKILL 更通用(中文/直播皆可)、静态转竖版更稳。MediaFără avertismente★ 4,1 K↓ —
- kiro-spec-batchgotalab/cc-sddCreate complete specs (requirements, design, tasks) for all features in roadmap.md using parallel sub-agent dispatch by dependency wave.PlanificareFără avertismente★ 3,7 K↓ —
- auto-subtitleZJU-REAL/Easel自动字幕 / 语音转字幕:把音频或视频里的语音识别成字幕文件(SRT/ASS/TXT/JSON),可选把字幕烧录进视频。当用户说自动字幕、语音转字幕、视频加字幕、上字幕、转录、听写、字幕文件、生成字幕、烧字幕时使用。AlteleFără avertismente★ 4,1 K↓ —
- batch-processZJU-REAL/Easel批量处理:对一个目录里的一批图片/视频/音频统一套用同一操作——批量压缩、加水印、转格式、缩放、转比例、音量归一化等。当用户说 批量处理、批量压缩、批量加水印、批量转格式、一批图片/视频、给这个文件夹、全部转成、批量缩放、批量转竖版、整个目录 时使用。基于 shared/scripts/batch_process.py(委派 image_ops/video_ops/audio_ops)。与 image-editing/video-editing/audio-editing 区别:那些处理单文件,本 SKILL 批量套用到整个目录。MediaFără avertismente★ 4,1 K↓ —
- kiro-validate-designgotalab/cc-sddInteractive technical design quality review and validationDesignFără avertismente★ 3,7 K↓ —Apare și în 5 alte depozite
aeon
foryourhealth111-pixel/Vibe-Skills
De la autor
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Instalare
npx skills add foryourhealth111-pixel/Vibe-Skills --skill aeon -a claude-code
Se instalează în .claude/skills/aeon/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Fișiere (12)
- SKILL.md
- references/anomaly_detection.md
- references/classification.md
- references/clustering.md
- references/datasets_benchmarking.md
- references/distances.md
- references/forecasting.md
- references/networks.md
- references/regression.md
- references/segmentation.md
- references/similarity_search.md
- references/transformations.md