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AI Agent Skills Directory with categorization, English/Chinese translation, and script security checks.

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All Skills

Total 31,089 skills

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Showing 12 of 31089 skills

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Marketing & Growthapify/agent-skills

apify-content-analytics

Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.

🇺🇸|EnglishTranslated
80
1 scripts/Attention
Marketing & Growthapify/agent-skills

apify-lead-generation

Generates B2B/B2C leads by scraping Google Maps, websites, Instagram, TikTok, Facebook, LinkedIn, YouTube, and Google Search. Use when user asks to find leads, prospects, businesses, build lead lists, enrich contacts, or scrape profiles for sales outreach.

🇺🇸|EnglishTranslated
80
1 scripts/Attention
Data Processingapify/agent-skills

apify-actor-development

Develop, debug, and deploy Apify Actors - serverless cloud programs for web scraping, automation, and data processing. Use when creating new Actors, modifying existing ones, or troubleshooting Actor code.

🇺🇸|EnglishTranslated
80
DevOps & Cloud Servicescloudflare/skills

building-mcp-server-on-cloudflare

Builds remote MCP (Model Context Protocol) servers on Cloudflare Workers with tools, OAuth authentication, and production deployment. Generates server code, configures auth providers, and deploys to Workers. Use when: user wants to "build MCP server", "create MCP tools", "remote MCP", "deploy MCP", add "OAuth to MCP", or mentions Model Context Protocol on Cloudflare. Also triggers on "MCP authentication" or "MCP deployment".

🇺🇸|EnglishTranslated
80
Mobile Developmentheroui-inc/heroui

heroui-native

HeroUI Native component library for React Native (Tailwind v4 via Uniwind). Use when working with HeroUI Native components, installing HeroUI Native, customizing themes, or accessing component documentation. Keywords: HeroUI Native, heroui-native, React Native UI, Uniwind.

🇺🇸|EnglishTranslated
80
4 scripts/Attention
Code Qualityaffaan-m/everything-claud...

coding-standards

Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.

🇺🇸|EnglishTranslated
80
Uncategorizedwshobson/agents

godot-gdscript-patterns

Master Godot 4 GDScript patterns including signals, scenes, state machines, and optimization. Use when building Godot games, implementing game systems, or learning GDScript best practices.

🇺🇸|EnglishTranslated
80
DevOps & Cloud Servicesheredotnow/skill

here-now

Publish files and folders to the web instantly. Use when asked to "publish this", "host this", "deploy this", "share this on the web", "make a website", or "put this online". Outputs a live URL at <slug>.here.now.

🇺🇸|EnglishTranslated
79
1 scripts/Attention
Data Processingapify/agent-skills

apify-ecommerce

Scrape e-commerce data for pricing intelligence, customer reviews, and seller discovery across Amazon, Walmart, eBay, IKEA, and 50+ marketplaces. Use when user asks to monitor prices, track competitors, analyze reviews, research products, or find sellers.

🇺🇸|EnglishTranslated
79
1 scripts/Attention
AI & Machine Learningk-dense-ai/claude-scienti...

pytorch-lightning

Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

🇺🇸|EnglishTranslated
79
3 scripts/Checked
Frontend Developmentlobehub/lobe-chat

i18n

Internationalization guide using react-i18next. Use when adding translations, creating i18n keys, or working with localized text in React components (.tsx files). Triggers on translation tasks, locale management, or i18n implementation.

🇺🇸|EnglishTranslated
79
AI & Machine Learningk-dense-ai/claude-scienti...

shap

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.

🇺🇸|EnglishTranslated
79
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