backend▌
581 indexed skills · max 10 per page
javascript-typescript-jest
github/awesome-copilot · Backend
Jest testing best practices for JavaScript and TypeScript projects with mocking, async handling, and React patterns. \n \n Organize tests with descriptive names in nested describe blocks, using .test.ts / .test.js files placed alongside source code or in __tests__ directories \n Mock external dependencies with jest.mock() , jest.spyOn() , and mockImplementation() , resetting between tests to prevent state leakage \n Handle async code with promises, async/await , and resolves / rejects matchers;
twitter-algorithm-optimizer
composiohq/awesome-claude-skills · Backend
Analyze and rewrite tweets to maximize reach using Twitter's open-source recommendation algorithms. \n \n Applies Real-graph, SimClusters, TwHIN, and Tweepcred models to identify optimization opportunities and explain algorithmic ranking decisions \n Identifies engagement signals (likes, replies, retweets, bookmarks) and negative signals (blocks, reports, mutes) that affect tweet distribution \n Rewrites tweets to trigger specific engagement patterns, target community resonance, and strengthen t
jimeng-api-image-gen
wvlvik/toy-skills · Backend
Generate high-quality AI images using Volcengine's Jimeng 4.0 API with text prompts or image inputs.
apify-ecommerce
apify/agent-skills · Backend
Extract product data, prices, reviews, and seller information from 50+ e-commerce marketplaces. \n \n Three workflow modes: Products & Pricing (price tracking, competitor analysis), Customer Reviews (sentiment analysis, quality issues), and Seller Intelligence (vendor discovery via Google Shopping) \n Supports Amazon (20+ regions), Walmart, eBay, IKEA, Costco, and European retailers; input via product URLs, category URLs, or keyword search \n Optional AI-powered analysis generates insights
web-scraping
mindrally/skills · Backend
Web scraping and data extraction using Python tools for static, dynamic, and large-scale content. \n \n Supports static sites via requests and BeautifulSoup, dynamic content via Selenium and Playwright, and large-scale extraction via Scrapy and firecrawl \n Includes specialized tools for AI-powered extraction (jina), structured queries (agentQL), and complex automation workflows (multion) \n Built-in guidance on rate limiting, robots.txt compliance, error handling, session management, and pagina
godot-gdscript-patterns
wshobson/agents · Backend
Production-ready GDScript patterns for Godot 4 game architecture, state management, and performance optimization. \n \n Covers seven core patterns: state machines, autoload singletons, resource-based data, object pooling, component systems, scene management, and save systems with complete working examples \n Includes best practices for signal-based decoupling, static typing, caching node references, and avoiding allocations in hot paths \n Demonstrates performance optimization techniques like ob
rust-engineer
jeffallan/claude-skills · Backend
Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. \n \n Handles ownership patterns, lifetime annotation, borrowing design, and trait hierarchies with generics and associated types \n Implements async/await applications with tokio, concurrent task spawning, and proper error propagation via Result/Option \n Enforces validation through cargo clippy, rustfmt, and comprehensive testing (unit, integration, doctests) \n Minimizes unsafe code with documented
apify-ultimate-scraper
apify/agent-skills · Backend
Automated web scraper selecting optimal Actors for 55+ platforms including Instagram, TikTok, YouTube, Facebook, Google Maps, and more. \n \n Covers 55+ pre-configured Actors across 8 major platforms with use-case-specific selection guidance (lead generation, influencer discovery, brand monitoring, competitor analysis, trend research) \n Supports three output formats: quick chat display, CSV export, or JSON export with customizable result limits \n Includes multi-Actor workflow patterns for comp
nodejs-core
mcollina/skills · Backend
Deep Node.js internals expertise for native modules, V8 optimization, libuv diagnostics, and C++ addon development. \n \n Covers V8 garbage collection, hidden classes, JIT compilation, and deoptimization tracing; libuv event loop phases, thread pool tuning, and async I/O patterns \n Provides N-API and node-addon-api binding patterns, native memory management, and segfault debugging with gdb/lldb \n Includes build system guidance for node-gyp, gyp, ninja, and cross-platform compilation; diagnosti
rust-call-graph
actionbook/rust-skills · Backend
Visualize function call relationships using LSP call hierarchy.