Skill UI

This guide details the process of migrating search and LLM functionalities from legacy APIs (Google CSE, Bing, SerpAPI) to Perplexity Sonar. It demonstrates how to utilize the Strangler Fig pattern to build a robust adapter layer. The primary benefit is consolidating a complex, multi-step pipeline (Search -> Raw Results -> LLM Summarization) into a single, efficient API call, ensuring automatic citation handling and streamlined development.

This specialized skill guides users in formatting and structuring content to maximize its eligibility for featured snippets and rich results across Search Engine Results Pages (SERP). It focuses on best practices for Q&A format, list generation, and comparative tables, ensuring content is highly concise, direct, and easily digestible by search algorithms.

Orchestrates Serpapi searches through Composio's Rube MCP by discovering current tool schemas, validating the connection, and executing schema-compliant calls with session reuse and explicit memory placeholders to keep automation workflows reliable.

Guides automation of Serpdog tasks via Composio’s Rube MCP toolkit, covering connection setup, tooling discovery, schema checks, session reuse, and execution best practices for reliable workflows.

Automates Serply workflows by orchestrating Composio’s Serply toolkit through Rube MCP, emphasizing tool discovery, connection checks, schema-compliant execution, and session reuse for reliable operations.

Guides orchestrating Zenserp workflows through Composio’s Rube MCP endpoints, covering discovery, connection validation, tool execution, and pagination-aware batch runs for consistent tool schema handling.

A comprehensive tool for advanced SEO data analysis. It provides real-time SERP results across major platforms (Google, Bing, YouTube, Images), alongside deep keyword metrics (volume, difficulty, intent), backlink profiling, competitor analysis, and specialized tracking for AI/LLM mentions and content performance. Ideal for digital marketers and SEO specialists.

This comprehensive tool provides real-time, live SEO data directly from the DataForSEO platform. It allows users to analyze live SERPs (Google, YouTube), conduct deep keyword research (volume, difficulty, intent), monitor backlink profiles, analyze competitor domains, and perform on-page content audits. It is crucial for digital marketers and content creators who need up-to-date metrics, especially for tracking AI visibility and LLM mentions, moving beyond static best practices.

This skill provides comprehensive access to Bright Data's SERP API and Web Scraper API. It allows users to collect structured search engine results (Google, Bing, Yahoo) synchronously, or trigger large-scale, asynchronous data collections with webhooks. Ideal for market research, SEO analysis, and large-scale data scraping projects.

A comprehensive, production-ready reference architecture for building robust data scraping systems using Bright Data's full suite of tools (Web Unlocker, Scraping Browser, SERP API). This template provides best practices for project layout, managing proxies, designing data pipelines, and integrating scheduling/storage components in a Node.js/TypeScript environment.

This guide provides a comprehensive setup for Continuous Integration (CI) and Continuous Deployment (CD) for SerpApi integrations. It outlines using fixture-based unit tests via GitHub Actions for Pull Requests (preventing API credit consumption) and controlled live integration tests on the main branch. This ensures robust and reliable search result parsing validation.

This guide provides a comprehensive reference for common errors encountered when using the SerpApi. It covers issues like invalid API keys, exhausted search credits, missing parameters, and CAPTCHA blocks. Use this when your automated search results are incorrect, empty, or return unexpected status codes, allowing you to quickly diagnose the root cause and implement fixes.