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.
48,168 skills from 2,325 repositories · updated 17 hours ago
48,168 skills
- webflow-automationdavepoon/buildwithclaudeAutomate Webflow CMS collections, site publishing, page management, asset uploads, and ecommerce orders via Rube MCP (Composio). Always search tools first for current schemas.OtherNo warnings★ 3.7K↓ —
- audience-belief-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "map what our buyers believe", "capture the objections we keep hearing", or "find the switching forces that move the beachhead"; produces a belief map of the beachhead — held beliefs and mental models, the recurring objections and their reframes, and the JTBD four forces (push of the problem, pull of the new, anxiety of switching, habit of the present) — each item sourced from interviews or win-loss notes (User-provided) and labeled Measured / User-provided / Estimated, with any unverified quote or comparative claim marked "[needs source]" and routed to the claims candidates, never adjudicated here. Not for demographic or persona profiling — use audience-mapper; not for the positioning canvas — use positioning-truth-tracer. 受众信念/异议地图/切换四力/流失语言PlanningNo warnings★ 3K↓ —
- stripe-automationdavepoon/buildwithclaudeAutomate Stripe tasks via Rube MCP (Composio): customers, charges, subscriptions, invoices, products, refunds. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- speckit-implementforyourhealth111-pixel/Vibe-SkillsExecute all tasks from the task breakdown to build the feature. Use after task generation to systematically implement the planned solution following TDD approach where applicable.PlanningNo warnings★ 3.8K↓ —
- tradingview-readerhimself65/finance-skillsRead the user's local TradingView desktop app through opencli: quotes, options chains with greeks and per-strike IV, options expiries, screener results across stocks, crypto, forex, futures, and bonds, gainers and losers, news headlines and full stories, alerts (active, fired, offline fires), watchlists including colored flag lists, symbol search, chart state, and chart screenshots. Use this skill whenever the user asks for any of these from TradingView ("TV") — for example an options chain, puts, or IV skew for a ticker, an oversold-stock screen, their red flag list, which alerts fired, or a screenshot of their chart. For plain quotes, TA readouts, scans, or futures without the desktop app, prefer tradingview-mcp. Read-only: it never places trades or edits watchlists, alerts, or layouts.FinanceNo warnings★ 3.5K↓ —
- 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↓ —
- golang-samber-mosamber/cc-skills-golangMonadic types for Golang using samber/mo — Option, Result, Either, Future, IO, Task, and State types for type-safe nullable values, error handling, and functional composition with pipeline sub-packages. Apply when using or adopting samber/mo, when the codebase imports `github.com/samber/mo`, or when considering functional programming patterns as a safety design for Golang. Not for nil-safety and zero-value design without this library (→ See `samber/cc-skills-golang@golang-safety` skill), nor for native error wrapping with fmt.Errorf, errors.Is and errors.As (→ See `samber/cc-skills-golang@golang-error-handling` skill).DesignNo warnings★ 3.7K↓ —
- neon-object-storageneondatabase/agent-skillsS3-compatible object storage that branches with your database, so each branch gets its own copy of the files and the rows that point at them. Use when a user wants object storage, a bucket, blob/file storage, or somewhere to put uploads, images, documents, avatars, or user-generated files for their app or agent — especially when they already use (or are setting up) Lakebase Postgres and don't want to add a separate storage provider like AWS S3, Cloudflare R2, or Supabase Storage. Triggers include "object storage", "bucket", "blob storage", "file storage", "store uploads/images/files", "S3-compatible storage", "presigned URL", "where do I put files", "storage logs", "bucket logs", "CDN in front of object storage", "Neon Object Storage", "Neon Storage", and "storage that branches with my database".OfficialDevOpsNo warnings★ 108↓ —Also in 1 other repo
- wiki-researchAr9av/obsidian-wikiPerform multi-round web research on a topic, synthesize the findings, and file structured results into the Obsidian wiki. Use for comprehensive web-sourced research intended to become wiki knowledge.ScienceNo warnings★ 3.6K↓ —
- remove-bgZJU-REAL/Easel图片去背景 / 抠图 / 换背景:用 AI 语义分割把主体从背景抠出,输出透明 PNG,或直接换成纯色(电商白底)/ 新场景背景。无需绿幕。当用户说 去背景、抠图、抠图换背景、去掉背景、透明背景、白底图、换背景、抠人像、抠产品、扣图、KO图、商品白底 时使用。基于 shared/scripts/remove_bg.py(rembg u2net)。与 green-screen 区别:green-screen 处理绿幕视频,本 SKILL 处理任意图片;与 ecom-details-image 区别:那个出电商视觉方案,本 SKILL 只做抠图。MediaNo warnings★ 4.2K↓ —
- torchdrugforyourhealth111-pixel/Vibe-SkillsGraph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.ScienceNo warnings★ 3.8K↓ —
- 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↓ —
- contract-comparejeremylongshore/tons-of-skills-marketplaceCompare two contract versions with clause-level evidence, coverage limits and qualified analysis of possible effects for the identified parties. Use when reviewing a revised contract or redline. Trigger with "contract-compare" or "compare these two contracts".LegalNo warnings★ 2.9K↓ —
- 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↓ —
- miro-automationdavepoon/buildwithclaudeAutomate Miro tasks via Rube MCP (Composio): boards, items, sticky notes, frames, sharing, connectors. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- feature-specdavepoon/buildwithclaudeCreates a complete product feature specification with acceptance criteria, scope, dependencies, and risks. Delegates to the Prometeo (PM) agent.PlanningNo warnings★ 3.7K↓ —
- 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↓ —
- principle-experience-firstmichael-denyer/pstack-claudeApply when product, UX, or feature-scope tradeoffs come up. Choose user delight over implementation convenience; ship fewer polished features over more rough ones.DesignNo warnings★ 3.7K↓ —
- jira-automationdavepoon/buildwithclaudeAutomate Jira tasks via Rube MCP (Composio): issues, projects, sprints, boards, comments, users. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- 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↓ —
- cuopt-installNVIDIA/skillsInstall cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.DevOpsNo warnings★ 3.8K↓ —
- tts-voiceoverZJU-REAL/Easel文字转语音配音:把文案/脚本合成为 AI 语音口播、旁白、朗读音频。**配了 VOICE_PROVIDER 默认走闭源云 TTS(CosyVoice2 等,有情感、像真人),edge 仅无 key 时兜底**(edge 偏机械/AI 味);同步输出分句 SRT 字幕、mp3/wav/m4a。合成后可与 BGM 混音或加到视频作旁白。当用户说“配音”“文字转语音”“TTS”“AI 配音”“口播语音”“旁白”“朗读”“把这段文字读出来”“生成语音”“语音合成”时使用。OtherNo warnings★ 4.2K↓ —
- meme-generatorZJU-REAL/Easel表情包 / Meme 生成:给图片加经典上下大字(白字黑边)做梗图,或在图上/下加配文条做反应图('当…的时候'格式)。中英文都支持,自动换行和字号自适应。当用户说 表情包、做表情包、meme、梗图、reaction 图、配图加字、给这张图加字、做个梗、反应图、当xx的时候 时使用。基于 shared/scripts/meme_ops.py(Pillow)。与 card-quote 区别:card-quote 做精致金句卡片,meme-generator 做梗图/表情包;与 image-editing watermark 区别:那个加水印,本 SKILL 加梗字。MediaNo warnings★ 4.2K↓ —
tao-train-grounding-dino
NVIDIA/skills
From the author
Grounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder for language-guided detection — detects objects described by text prompts without a fixed class vocabulary. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Grounding DINO model. Trigger phrases include "train Grounding DINO", "open-vocabulary detection", "text-prompted detector", "language-guided object detection".
Install
npx skills add NVIDIA/skills --skill tao-train-grounding-dino -a claude-code
Installs to .claude/skills/tao-train-grounding-dino/ · 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
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Why 90
Files (25)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_deploy_evaluate.yaml
- references/spec_template_deploy_gen_trt_engine.yaml
- references/spec_template_deploy_inference.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_export.yaml
- references/spec_template_gen_trt_engine.yaml
- references/spec_template_inference.yaml
- +13 more