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.
46,100 skills from 2,198 repositories · updated 9 hours ago
16,444 skills
- 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"。ProductivityNo warnings★ 4.2K↓ —
- 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。OtherNo warnings★ 4.2K↓ —
- narrative-drift-monitorUpdatedaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; produces a drift report — self-drift per flagship surface vs the narrative-registry canon over time (via wayback.py, change history Measured with as-of dates), competitor-repositioning alerts, an explicit repositioning-trigger condition set, and a D1/W1/M1 message-shift retro (intended vs actual pull-through, evidence-labeled) — feeding the TALE L drift-audit sub-items and the narrative-whiplash guardrail fact base. Not for the first-time consistency check before a surface ships — use narrative-cascade-planner; not for computing the TALE profile result or running the vetoes — use narrative-quality-auditor; not for echo-rate / AI-answer resonance measurement — use narrative-resonance-monitor. 自漂移监测/竞品重定位告警/重定位触发/叙事漂移复盘PlanningNo warnings★ 3K↓ —
- 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。OtherNo warnings★ 4.2K↓ —
- skill-content-strategyZJU-REAL/Easel制定全面的内容策略方案:内容支柱架构、受众路径规划、90 天节奏原则、分发渠道策略、KPI 体系,输出可执行的策略文档。 当用户说"内容策略""策略方案""内容规划""怎么做内容""内容支柱""增长策略""涨粉策略"时使用。 元策略层,只出框架不出具体排期表(排期用 skill-content-calendar)。ProductivityNo warnings★ 4.2K↓ —
- skill-strategy-advisorZJU-REAL/Easel基于现有内容数据和画像迭代优化内容策略。分析过去一段时间的内容表现、画像信息、 行业趋势,给出下一阶段的内容方向调整、新赛道建议、内容形式优化、发布节奏调整、 画像微调等策略建议。当用户说"下一步怎么做"、"策略建议"、"怎么调整"、"内容方向"、 "下个月策略"、"优化建议"、"迭代方向"时触发。 和 skill-content-strategy 的区别:content-strategy 从零制定策略, strategy-advisor 基于现有数据做迭代优化。OtherNo warnings★ 4.2K↓ —
- skill-brand-onboardingZJU-REAL/Easel创作者/品牌入驻:通过结构化访谈收集视觉风格、内容调性、受众画像和运营目标,生成完整的账号画像档案。 当用户说"账号入驻""建档案""新账号建立画像""品牌入驻""从零建号""完善账号信息""onboarding"时使用。 产出覆盖多维度的完整账号档案;只建声音画像用 skill-voice-builder,只建受众画像用 skill-audience-profiler。OtherNo warnings★ 4.2K↓ —
- platform-norm-profilerUpdatedaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build the norm card for this platform", "what are the char limits and visible-fold cutoffs here", "is the LinkedIn link-in-first-comment thing documented or folklore", or "which of our platform cards are stale"; maintains the dated, versioned per-platform norm cards in the references/platforms/ pack — char limits, visible-fold cutoffs, hashtag norms, format/aspect specs, link and first-comment placement, disclosure-label mechanics, algorithm emphases (e.g. 小红书 search+saves weighting) — every row labeled platform-documented (official doc, Measured) or Estimated-folklore (named source) with last-verified and review-by dates, and any card past its review date flagged stale rather than trusted. Extends the single pack in place; never forks a second one. Not for picking which channels to run — use channel-portfolio-planner. 平台规范卡/字符限制/折叠线/话题标签/算法侧重/过期标记MarketingNo warnings★ 3K↓ —
- skill-kuaishou-uploadZJU-REAL/Easel快手视频发布:把竖版短视频发布到快手创作者中心。当用户说"发快手""上传快手""快手投稿" "发布到快手""快手视频发布"时使用。基于通用浏览器发布框架(Playwright + 登录态持久化)。TestingNo warnings★ 4.2K↓ —
- social-pulse-monitorUpdatedaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "monitor brand mentions", "set up social listening", "did anything spike about us this week", or "watch these accounts for buying triggers"; runs always-on keyless listening — a versioned listening-query architecture (brand variants incl. misspellings and 中文 names, exclusion terms, per-source syntax for HN Algolia / Bluesky / GDELT / Tavily), a mention sweep with six-class triage (crisis / bug / lead / praise / question / spam) each routed with an SLA, a 7-day rolling baseline with spike flags (the crisis trigger input), a B2B trigger watchlist (funding / hiring / launch signals), and an explicit coverage disclosure where X/IG/TikTok/LinkedIn/小红书 numbers are proxy-labeled, never Measured. Not for launch-window telemetry (T-0→T+30 rank and review polling) — use launch-monitor. 舆情监听/品牌提及监测/基线突刺/触发信号MarketingNo warnings★ 3K↓ —
- social-selling-plannerUpdatedaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "set up my founder social-selling routine", "build a daily engagement block for target accounts", or "turn funding / hiring signals into selling plays"; produces the founder/seller daily operating block — a time-boxed engagement-block spec (substantive value-add comments on target-account posts, never a pitch), warm-touch-before-ask cadence rules, trigger-response plays consuming the social-pulse-monitor B2B trigger watchlist (funding / hiring / launch signals), and a quarterly diagnostic that reads LinkedIn SSI as an input diagnostic only (Estimated, vendor-defined — never a target metric). All volume norms are Estimated/community-derived; all execution is human — zero mass-DM, zero connection-request automation, zero engagement automation (LinkedIn UA §8.2 red line); 1:1 pitch and DM mechanics route to outreach-manager. Not for cold email sequences — use cold-outbound-sequencer. 社交销售/创始人日常互动块/热身触达节奏/触发信号剧本PlanningNo warnings★ 3K↓ —
- skill-channels-uploadZJU-REAL/Easel微信视频号发布:把竖版短视频发布到微信视频号(channels.weixin.qq.com)。当用户说 "发视频号""上传视频号""视频号发布""发到微信视频号""视频号投稿"时使用。基于通用浏览器 发布框架(Playwright + 登录态持久化),微信扫码登录。TestingNo warnings★ 4.2K↓ —
- skill-content-matrixZJU-REAL/Easel将内容支柱与多种格式交叉,生成选题矩阵,每个格子产出一个可直接执行的选题。 当用户说"选题矩阵""批量选题""选题池""内容矩阵""一次多个选题""支柱×格式""选题规划表"时使用。 和 skill-topic-evaluator 的区别:本 SKILL 批量生成选题池;topic-evaluator 评估单个选题是否值得做。OtherNo warnings★ 4.2K↓ —
- 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。OtherNo warnings★ 4.2K↓ —
- 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。TestingNo warnings★ 4.2K↓ —
- engagement-inbox-managerUpdatedaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "triage our comments, DMs, and mentions", "draft replies to this thread", "can we repost this fan post", or "set up inbox SLAs and an escalation path"; produces a ranked triage queue with register detection (sincere / ironic / performative / parasocial, sentiment-inversion table included — "this is so bad" under a comedy register is praise), a commenter taxonomy (troll monitor-only / rager / misguided / unhappy-customer / advocate) with a response-tier ladder and per-channel SLAs, an escalation matrix ending at the crisis path, a moderation ladder plus house rules for owned spaces, and a UGC curation-and-rights mode whose dated permission entries route to the channel registry — every reply is a ranked DRAFT a human posts; nothing is ever auto-sent. Not for launch-window feedback triage — use launch-feedback-synthesizer. 评论私信提及分诊/语域识别/回复草稿/UGC授权OtherNo warnings★ 3K↓ —
- 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。OtherNo warnings★ 4.2K↓ —
- 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。MediaNo warnings★ 4.2K↓ —
- doca-mgmtUpdatedNVIDIA/skillsUse this skill when the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management or representor context (doca_mgmt_dev_ctx / doca_mgmt_dev_rep_ctx), querying device caps (data-direct, caps-general), toggling congestion-control global status, modifying diagnostics-data, setting ICM quotas, or issuing a raw firmware command via doca_mgmt_raw_cmd with the right scope (CONFIGURATION / DEBUG_READ_ONLY / DEBUG_WRITE / DEBUG_WRITE_FULL). Trigger even when the user does not say "DOCA Management" — typical implicit phrasings include "fleet tool that walks every BlueField and reads device state", "toggle data-direct on a VF", "set an ICM quota per representor", "send a raw firmware command from C", "DOCA_ERROR_IO_FAILED from raw_cmd", or "fwctl ioctl is failing". Refuse and route elsewhere for mlxconfig direct operation, BFB / firmware reflash, streaming telemetry, doca_caps CLI snapshots, or DOCA install itself — those belong to other skills.EngineeringNo warnings★ 3.8K↓ —
- 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。MediaNo warnings★ 4.2K↓ —
- skill-livestreamZJU-REAL/Easel为直播生成完整方案:直播主题、流程时间表、开场白/过渡语/催单话术/感谢话术/互动话术。 适用于带货直播、知识分享直播、娱乐直播。 当用户说"直播策划"、"直播方案"、"直播话术"、"开播前准备"、"直播流程"、 "直播脚本"、"带货直播"、"怎么开播"、"直播怎么做"、"直播排期"、"写个直播话术"时触发。OtherNo warnings★ 4.2K↓ —
- slideshow-videoZJU-REAL/Easel图片相册 → 视频:把一组图片做成带 Ken Burns 缓慢缩放、图间转场、背景音乐和逐图字幕的视频,自动适配平台画幅(竖版/方形/横版)。当用户说 图片转视频、图片做成视频、相册视频、照片视频、一组图生成视频、图片轮播视频、幻灯片视频、把这几张图做成短视频、图集成片、卡点图片视频 时使用。基于 shared/scripts/slideshow.py 确定性 ffmpeg 封装。与 auto-short-video 区别:auto-short-video 从一句话主题自动生成配图/配音成片,本 SKILL 用用户已有的图片直接拼成视频。MediaNo warnings★ 4.2K↓ —
- video-chaptersZJU-REAL/Easel视频章节 / 时间戳目录:给中长视频自动生成章节划分和时间戳目录,用于 B站分P/YouTube 章节/视频描述区,方便观众跳转、提升完播。当用户说 视频章节、章节目录、时间戳、分章节、视频目录、chapters、B站章节、YouTube 章节、给视频加时间点、看点目录、视频大纲时间戳 时使用。编排复用 asr.py(带时间轴转录),章节划分与命名由 LLM 完成。与 video-to-article 区别:那个把视频改写成成篇图文,本 SKILL 只出章节时间戳目录。MediaNo warnings★ 4.2K↓ —
- text-condenserZJU-REAL/Easel字数裁剪/摘要:把长文本压缩到指定字数,保留核心信息。支持硬裁剪(严格字数)、 摘要(保留要点)、金句提取(只保留最精华的句子)三种模式。 特别适合从长文生成平台适配的短文。 使用时机:用户说"裁到 140 字"、"压缩一下"、"太长了"、"摘要"、"精简"、 "缩写"、"字数裁剪"、"帮我缩短"、"提炼要点"。 和 text-polisher 的区别:polisher 润色文案不改长度,condenser 压缩篇幅不做质量提升。OtherNo warnings★ 4.2K↓ —
ai-video-gen
ZJU-REAL/Easel
From the author
AI 视频生成:文生视频 / 图生视频 / 数字人首帧驱动。通过可插拔 provider(通义万相 Wan / 火山 Seedance / 快手可灵 / OpenAI 兼容)异步生成视频,用户自备 API key。当用户说 AI 视频生成、文生视频、图生视频、AI 生成视频、AI 短视频、让图片动起来、数字人视频、生成一段视频 时使用。与 video-strategy(选型/策略)、video-editing(剪辑处理)、clipify(切片)区别:本 SKILL 是从 0 用 AI 生成新视频。
Install
npx skills add ZJU-REAL/Easel --skill ai-video-gen -a claude-code
Installs to .claude/skills/ai-video-gen/ · 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
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Why 90
Files (2)
- EASEL-META.md
- SKILL.md