Skill UI

Acts as a collaborative writing partner, helping you build outlines, research with citations, improve hooks, and review each section so blogs, tutorials, thought leadership, and docs get polished without losing your voice.

This guide identifies and avoids anti-patterns and common integration mistakes when working with Exa's neural search API. It covers crucial topics such as distinguishing between keyword and neural searches, properly retrieving content, handling date filters, and managing client instances. Use this when reviewing Exa-powered code, onboarding new team members, or auditing existing integrations for robustness and correctness.

This skill provides the production-ready reference architecture for integrating Exa into complex applications. It covers advanced search pipelines, RAG implementation for context generation, and structured content discovery. Use this to design new Exa integrations, review project structures, or establish industry-standard best practices for neural search systems.

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.

A comprehensive framework for assessing the security, privacy, and compliance posture of Kling AI integrations. It covers crucial areas such as data residency, credential management, content policy adherence, and GDPR compliance (e.g., right to erasure). Use this guide when preparing for security audits or implementing robust data handling protocols for AI-generated content.

A comprehensive checklist designed for ensuring that Kling AI video generation integrations are robust, secure, and reliable before going live or during a deployment review. It covers critical areas including authentication protocols, detailed error handling (retry logic, timeouts), cost control mechanisms, content safety policies, and necessary monitoring setup for a stable production environment.

A comprehensive workflow tool for managing the entire localization process using Lokalise. It handles downloading translated files (JSON, XLIFF, PO), reviewing translation status, updating keys, and integrating the output directly into development applications. Ideal for CI/CD pipelines and developers needing to sync localized content efficiently.

This skill provides a comprehensive guide for integrating Lokalise into CI/CD pipelines. It outlines how to automate the download of the latest, reviewed translations during the build stage, ensuring that production environments always ship the most current localized content. Ideal for setting up deployment workflows on platforms like Vercel, Netlify, and GitHub Actions.

This tool provides comprehensive competitive intelligence by scraping and analyzing data from major online platforms, including Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. It extracts structured data on competitors' content, pricing, ad strategies, review sentiment, and market positioning. Ideal for market researchers, product managers, and marketing strategists who need deep benchmarks across multiple digital channels to refine their own strategy.

A comprehensive tool for generating, iterating, and scaling high-performing ad copy across major paid advertising platforms (Meta, Google, LinkedIn, etc.). Use this skill when you need to develop ad headlines, body copy, or creative variations, optimizing content based on funnel stage (Awareness, Consideration, Decision) and existing performance data to maximize conversion rates and pass platform reviews.

Use this skill to perform read-only API calls for exploring, previewing, searching, and filtering structured datasets hosted on Hugging Face. It allows users to validate dataset availability, list splits, paginate large datasets, and retrieve comprehensive metadata and statistics, making it ideal for data validation and content extraction workflows.

Literature Review Tool helps researchers gather and synthesize key insights from scholarly texts, highlighting patterns and critical arguments to accelerate literature surveying workflows even when structured content is initially unavailable.