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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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aws-architecture

Use when "designing AWS architecture", "serverless AWS", "cloud infrastructure", "Lambda", "DynamoDB", or asking about "AWS cost optimization", "CloudFormation", "CDK", "API Gateway", "ECS", "EKS"

eyadsibai
eyadsibai
41

agent-browser

Use when automating browser interactions via CLI, filling forms, taking screenshots, scraping pages, or asking about "agent-browser", "browser automation", "headless browser", "web scraping", "form filling", "Vercel browser"

eyadsibai
eyadsibai
41

UI/UX Design

This skill should be used when the user asks about "UI design", "UX design", "user interface", "user experience", "wireframes", "mockups", "design patterns", "design system", "component design", "layout", or mentions UI/UX decisions.

eyadsibai
eyadsibai
41

react-artifacts

Use when "building React artifacts", "creating HTML artifacts", "bundling React apps", "single HTML file", or asking about "artifact builder", "shadcn components", "Tailwind artifacts"

eyadsibai
eyadsibai
41

canvas-design

Use when "creating posters", "visual art", "design philosophy", "PDF art", "PNG design", or asking about "abstract art", "visual design", "museum-quality graphics"

eyadsibai
eyadsibai
41

Branding

This skill should be used when the user asks about "branding", "brand identity", "logo design", "color palette", "brand guidelines", "visual identity", "brand voice", "style guide", or mentions brand-related decisions.

eyadsibai
eyadsibai
41

Accessibility

This skill should be used when the user asks about "accessibility", "a11y", "WCAG", "screen readers", "keyboard navigation", "ARIA", "accessible design", "inclusive design", or mentions making apps accessible.

eyadsibai
eyadsibai
41

Refactoring

This skill should be used when the user asks to "refactor code", "rename function", "extract method", "reduce complexity", "migrate code", "code migration", "modernize code", "split class", "move code", or mentions code restructuring and refactoring operations.

eyadsibai
eyadsibai
41

Python Patterns

This skill should be used when the user asks about "Python best practices", "Pythonic code", "Python patterns", "Python idioms", "type hints", "dataclasses", "async Python", "Python decorators", "context managers"

eyadsibai
eyadsibai
41

testing-patterns

pytest fixtures and integration testing patterns for Spark applications, including DataFrame assertions and mock data generation.

vivekgana
vivekgana
4

access-management

RBAC/ABAC implementation patterns, least privilege access, row-level security, column masking, and access review workflows.

vivekgana
vivekgana
4

compliance-automation

Automated compliance checks, continuous monitoring, reporting frameworks for GDPR, HIPAA, SOC2, and CCPA compliance.

vivekgana
vivekgana
4

data-classification

Data classification strategies, tagging frameworks, sensitivity levels, and automated classification patterns for Unity Catalog.

vivekgana
vivekgana
4

unity-catalog-governance

Unity Catalog governance patterns, permissions models, security best practices, and policy enforcement for enterprise data governance.

vivekgana
vivekgana
4

data-products

Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.

vivekgana
vivekgana
4

data-quality

Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.

vivekgana
vivekgana
4

databricks-asset-bundles

Modern deployment with Databricks Asset Bundles (DAB), supporting multi-environment configurations and CI/CD integration.

vivekgana
vivekgana
4

delta-live-tables

Delta Live Tables (DLT) pipeline patterns and examples for building declarative, self-healing data pipelines with automatic quality enforcement and lineage tracking.

vivekgana
vivekgana
4

delta-sharing

Delta Sharing configuration, monitoring, and recipient management for secure cross-organization data sharing.

vivekgana
vivekgana
4

medallion-architecture

Bronze/Silver/Gold layer design patterns and templates for building scalable data lakehouse architectures. Includes incremental processing, data quality checks, and optimization strategies.

vivekgana
vivekgana
4

cicd-workflows

GitHub Actions and CI/CD patterns for Databricks, including automated testing, deployment, and quality gates.

vivekgana
vivekgana
4

nuxt-tables

Table components with column builder pattern and XTable. Use when creating data tables, defining columns with custom cells, implementing row actions, or building reusable table configurations.

leeovery
leeovery
41

nuxt-models

Domain model classes with automatic hydration, relations, and type casting. Use when creating models for API entities, defining relationships between models, casting properties to enums/dates, or creating value objects.

leeovery
leeovery
41

nuxt-features

Feature module pattern organizing domain logic into queries, mutations, and actions. Use when implementing data fetching with filters, API mutations with loading states, business logic with UI feedback, or organizing domain-specific code.

leeovery
leeovery
41

nuxt-layers

Working with Nuxt layers (base, nuxt-ui, x-ui) that provide shared functionality. Use when understanding layer architecture, importing from layers, extending layer functionality, or creating new layers.

leeovery
leeovery
41

nuxt-pages

File-based routing with page patterns for lists, details, and navigation. Use when creating pages, defining page meta (permissions, layouts), implementing list/detail patterns, or setting up breadcrumbs and headers.

leeovery
leeovery
41

nuxt-realtime

Real-time features with Laravel Echo and WebSockets. Use when subscribing to channels, listening for events, implementing live updates, or managing channel subscriptions.

leeovery
leeovery
41

nuxt-repositories

Repository pattern for API access with automatic model hydration. Use when creating repositories for API resources, configuring model hydration, adding custom API methods, or registering repositories in app config.

leeovery
leeovery
41

nuxt-architecture

Foundational architecture for Nuxt 4 + Vue 3 + Nuxt UI applications. Use when starting new projects, understanding project structure, or making architectural decisions about directory organization, technology choices, and pattern selection.

leeovery
leeovery
41

nuxt-components

Vue component patterns with Composition API and script setup. Use when creating components, understanding script setup order convention, organizing component directories, or implementing component patterns like slideovers, modals, and tables.

leeovery
leeovery
41

nuxt-enums

TypeScript enum pattern with Castable interface for model integration. Use when creating enums with behavior methods (colors, labels), defining fixed value sets, or integrating enums with the model casting system.

leeovery
leeovery
41

nuxt-auth

Authentication with Laravel Sanctum and permission-based authorization. Use when implementing login/logout, protecting pages with permissions, checking permissions in components, or understanding the auth flow.

leeovery
leeovery
41

nuxt-composables

Creating custom Vue composables with proper patterns. Use when building reusable stateful logic, shared state management, or encapsulating feature-specific behavior.

leeovery
leeovery
41

nuxt-config

Nuxt and app configuration files. Use when configuring nuxt.config.ts, app.config.ts, environment variables, runtime config, or understanding how configuration flows through the application.

leeovery
leeovery
41

nuxt-errors

Error handling with error classes, handlers, and interceptors. Use when handling API errors, displaying validation errors, configuring error handlers, or implementing error interceptors.

leeovery
leeovery
41

nuxt-forms

Form handling with XForm component and useFormBuilder. Use when creating forms, handling validation errors, managing form state, or building form-based slideovers and modals.

leeovery
leeovery
41

zeberg-salomon-rotator

用領先和同時指標建構景氣模型,並判讀兩種景氣階段:景氣擴張期 (Risk-On) 與景氣收縮期 (Risk-Off),並根據理論給出 "撞冰山" 與 "下沉" 事件訊號。

fatfingererr
fatfingererr
31

wasde-ingestor

下載並解析 USDA 每月發布的 WASDE 報告,擷取所有主要商品(穀物、油籽、棉花、畜產品、糖)的供需平衡表。輸出標準化、可版本化的資料集,作為即時預測(nowcasting)的錨定基準。

fatfingererr
fatfingererr
31

usd-reserve-loss-gold-revaluation

在「美元/某貨幣失去儲備地位、黃金成為唯一錨」的假設下,用央行貨幣負債 ÷ 黃金儲備,推演「資產負債表可承受的隱含金價」,並輸出各國/各貨幣的槓桿程度、缺口與排名。

fatfingererr
fatfingererr
31

us-cpi-pce-comparator

自動比較美國 CPI(固定權重)與 PCE(動態權重)的通膨訊號,識別低波動高權重桶位的 PCE 上行風險。用於分析 Fed 關注的 PCE 是否正在 re-accelerate,即使 CPI 看似降溫。

fatfingererr
fatfingererr
31

track-equity-cumulative-return

Track cumulative return of stocks/indices with multi-ticker comparison, index Top N ranking, and visualization. All comparisons use S&P 500 as the fixed benchmark.

fatfingererr
fatfingererr
31

analyze-retail-inverse-etf-allocation

以槓桿反向 ETF(做空)相對槓桿正向 ETF(做多)的交易占比,作為散戶風險偏好代理指標,評估 SPX 後續下行風險。

fatfingererr
fatfingererr
31

analyze-rolex-market-index-liquidity-proxy

用勞力士市場指數(WatchCharts Rolex Market Index)作為高 β 的風險偏好/流動性代理,判讀「流動性改善但未到投機狂熱」的狀態

fatfingererr
fatfingererr
31

track-agri-hedge-fund-positioning

用 COT 非商業部位變化,量化對沖基金在農產品期貨的資金流向,並把出口需求、USDA 數據、美元/原油/金屬等宏觀風向整合成可交易的敘事與訊號。

fatfingererr
fatfingererr
31

nickel-concentration-risk-analyzer

以全球鎳供給結構為核心,量化各國的主導程度(例如印尼)、主要礦區供給量、以及政策配額/減產情境對全球供需平衡與價格非對稱的影響。

fatfingererr
fatfingererr
31

monitor-etf-holdings-drawdown-risk

偵測「商品價格上漲、但對應實物 ETF/信託持倉卻下滑」的背離現象,並用多指標交叉驗證,評估是否存在實物供給緊張/交割壓力風險。

fatfingererr
fatfingererr
31

lithium-supply-demand-gap-radar

將鋰產業鏈(礦端 → 精煉化學品 → 電池與終端需求),整合為一套可運算的替代指標;再把這些指標映射到鋰主題 ETF(如 LIT)的成分暴露與長期價格走勢,形成可供決策的依據。

fatfingererr
fatfingererr
31

list-china-today-macro-news

彙整今日中國宏觀經濟新聞消息,從華爾街日報、36氪等來源抓取並篩選宏觀相關新聞,輸出雜誌風格的新聞摘要。適用於交易/研究開盤前快速掌握中國宏觀動態。

fatfingererr
fatfingererr
31

forecast-sector-relative-return-from-yield-spread

用美債殖利率曲線利差(如 2Y-10Y)建立「領先關係」,推估未來一段時間內成長股(Nasdaq 100)相對防禦股(Healthcare/XLV)的相對績效方向與幅度。

fatfingererr
fatfingererr
31

evaluate-exponential-trend-deviation-regimes

計算資產價格相對長期指數成長趨勢線的偏離度,衡量當前是否處於歷史極端區間,並可選擇性地進行宏觀因子分析以判斷行情體質。

fatfingererr
fatfingererr
31

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.