Skill UI

A comprehensive guide containing minimal working examples for all core Exa search operations. It demonstrates basic metadata search, deep content extraction (text, highlights, summary), finding semantically similar pages, and retrieving content for specified URLs. Ideal for developers starting a new Exa integration or learning advanced RAG patterns.

This comprehensive guide identifies common anti-patterns and integration mistakes when using Firecrawl for web scraping and content extraction. It serves as a vital code review checklist, helping developers avoid pitfalls such as unbounded crawling, unspecified output formats, or aggressive API polling, ensuring robust and efficient data pipelines.

This comprehensive tool utilizes specialized Apify Actors to analyze audience demographics, engagement patterns, and behavior data across major social platforms, including Facebook, Instagram, YouTube, and TikTok. It provides structured data extraction and a summarized interpretation of key audience insights, making it invaluable for marketing, content strategy, and market research.

Transform recurring debugging patterns or solutions into portable, reusable skills. Use /si:extract to package recurring fixes, lessons, or workflows into standalone SKILL.md files that can be installed in any project. Ideal for capturing complex multi-step solutions that are easy to forget across different codebases.

Automate web browsers using Playwright for data scraping, form filling, and structured data extraction. Supports multi-step workflows, screenshots, session management, and anti-detection patterns. Ideal for building production-grade data pipelines without writing browser tests.

This comprehensive guide provides minimal working examples for key Adobe APIs: Firefly AI image generation, PDF content extraction, and Photoshop background removal. It serves as a practical quickstart for developers starting new Adobe integrations, testing API connectivity, or learning basic API calling patterns using TypeScript and Node.js.

Learn production-grade, scalable architectural patterns for building robust scraping systems using Apify. This guide details structures for standalone scrapers, complex multi-stage pipelines (Discover, Scrape, Transform), and integrating Apify into full-stack applications for powerful data extraction.

This workflow automates the extraction of key insights from meeting recordings using Fathom transcripts and summaries. It builds a robust pipeline to identify action items, sync tasks to project management tools, and analyze overall meeting patterns, streamlining post-meeting follow-up and record-keeping.

This guide provides advanced patterns for composing robust, multi-step Large Language Model (LLM) workflows using LangChain 1.0 core runnables. Learn to implement parallel retrievals (RunnableParallel), conditional routing (RunnableBranch), and state management. It also addresses common pitfalls like silent KeyErrors due to mismatched dictionary shapes, providing solutions using debug probes and type annotations for reliable RAG, classification, and extraction pipelines.

This skill runs a comprehensive, sequenced pipeline (Patterns 1-5) to structurally analyze a monolithic codebase. It inventories components, detects domain duplication, resolves hierarchy issues, measures inter-module coupling, and groups components into candidate, domain-aligned services. It is essential for architects planning service extraction, providing actionable metrics and DDD insights before refactoring or splitting the application.

A comprehensive playbook detailing advanced exploitation techniques in decentralized finance (DeFi). Covers flash loan mechanics, price oracle manipulation (spot vs. TWAP), MEV extraction strategies (Sandwich, JIT), governance exploits, and core smart contract vulnerabilities. Essential for security auditors and risk analysts.

This skill analyzes completed code sessions to automatically extract reusable patterns, transforming raw interaction data into structured, learned skills. It allows the AI to continuously improve its domain knowledge by capturing techniques like error resolution, debugging methods, and workarounds, making it effective for advanced coding assistance and knowledge curation.