Skill UI

This workflow facilitates comprehensive candidate sourcing using the Juicebox platform. It enables users to execute highly specific people searches by applying robust filters (e.g., location, years of experience, specific skills). Furthermore, the system scores the identified candidates based on relevance and allows bulk export of top profiles to major Applicant Tracking Systems (ATS) like Greenhouse or Lever, streamlining the entire recruiting pipeline.

This skill demonstrates how to use the Juicebox SDK to perform advanced people searches and profile enrichment. Users can search for individuals using natural language queries (e.g., "senior ML engineer at FAANG with PhD") and retrieve detailed contact information, skills, and education data for professional outreach and market research. Supports both TypeScript and Python.

This comprehensive tool enables automated lead generation by scraping contact and business data from numerous online platforms. It leverages specialized Apify Actors to extract diverse prospects, including business details, creator profiles, and contact information from sources like Google Maps, Instagram, TikTok, and Facebook. It is ideal for market research, lead qualification, and building robust outreach databases.

Generate a structured company profile that captures executive strategy quotes, product direction, transformation initiatives, and org dynamics for interview prep, competitive intelligence, partnerships, or market-entry planning.

This skill provides comprehensive automation for managing OneDrive file lifecycles. Users can perform advanced operations including searching across metadata and content, uploading and downloading files, organizing folders, creating share links, and granularly managing permissions for specific users. It utilizes a structured workflow approach via Rube MCP, making it ideal for automating business processes involving cloud document storage and collaboration.

A file-based system designed to organize and track the progress of complex, multi-stage tasks, perfect for extensive research or detailed project development. It uses persistent Markdown files (task_plan.md, progress.md, findings.md) as a 'desktop memory' to maintain state and context across sessions. Supports automatic session recovery and structured workflow tracking, making it invaluable for large-scale, multi-tool usage projects.

This tool functions as an expert competitive intelligence analyst. It takes a list of competitor URLs and generates comprehensive, structured profile documents. It combines live site scraping (e.g., features, pricing, value prop), SEO metrics, and third-party review data (G2, Capterra) to provide deep, actionable insights. Ideal for market research, product comparison, and strategic competitive planning.

This skill provides deep, decision-grade research dossiers on any specific entity (company, person, or organization). Unlike generic profiles, it mandates the user to state a clear hypothesis upfront. The resulting dossier rigorously tests this hypothesis, providing a conclusive verdict, detailed activity timelines, network signals, red flags, and a source-provenance audit log. Ideal for due diligence, investment analysis, or high-stakes meeting preparation.

This skill provides comprehensive framework for conducting deep audience research, enabling the creation of detailed buyer personas and sophisticated market segmentation strategies. It covers psychographic profiling, Jobs-to-Be-Done (JTBD) analysis, behavioral segmentation, and defining ideal customer profiles (ICPs). Use it for targeted marketing, product development, and refining outreach efforts across B2B and B2C models.

This comprehensive tool conducts a deep audit of local search engine optimization (SEO) health. It evaluates Google Business Profile (GBP) completeness, NAP consistency, citation presence, on-site location pages, and local schema. The output is a prioritized, actionable report designed to improve local pack rankings and boost foot traffic or service inquiries.

This guide outlines the strict rules for dividing a research paper into the main body and supplementary materials (artifact/appendices), particularly for database systems conferences like EDBT. It emphasizes that all decision-critical evidence must be presented within the reviewed pages, ensuring reviewers can judge the work without needing to open external files. It covers page budget discipline, reproducibility standards, and practical partitioning techniques.