Skill UI

Provides a comprehensive dashboard for monitoring all connected and available third-party connectors (MCP). Users can check the status of critical marketing tools like CRM, SEO, and advertising. This skill helps identify active capabilities, highlights recommended next connections, and guides setup processes to maximize skill usage.

Designs an end-to-end, cross-platform retargeting playbook. This tool maps user behavior across the entire conversion funnel, segmenting audiences by stage (e.g., cart abandoners, viewers). It provides detailed guidance on creative sequencing, frequency capping, cross-platform coordination (Meta, Google, TikTok), budget allocation, and technical tracking setup, ensuring a coherent and optimized customer journey.

Automates the scheduling of core content across major social media platforms, including Instagram, LinkedIn, X, TikTok, and YouTube. This tool generates platform-optimized variations, adhering to specific character limits, aspect ratios, and brand guidelines. It also integrates advanced features like UTM tracking, optimal posting time recommendations, and engagement monitoring setup, ensuring consistent and high-impact brand presence across all channels.

A comprehensive tool for creating, validating, and deploying targeted email marketing campaigns across major platforms (SendGrid, Klaviyo, Customer.io, etc.). It manages the entire campaign lifecycle, from content personalization and A/B testing setup to rigorous spam scoring, compliance checks, and optimal send time scheduling, ensuring maximum deliverability and brand consistency.

This guide outlines best practices for ensuring rigorous reproducibility of complex interaction claims, especially in game theory and multi-agent systems (MAS). It details required evidence for proofs, experimental setups (agents, opponents, seeds, compute), and consistency checks between the paper's claims and the provided artifacts. Essential for high-stakes academic submissions like AAMAS.

This guide provides comprehensive best practices for ensuring scientific reproducibility in technical papers, particularly for electronics and information processing fields. It covers the critical pillars of documentation: environment setup, data sourcing and preprocessing, full algorithmic disclosure (including pseudo-code and hyperparameters), and robust statistical evaluation. By adopting these standards, authors can transform their work from potentially unverifiable results into credible, verifiable scientific contributions suitable for top-tier journals.

Provides guidelines for creating robust, verifiable, and reusable Electronic Design Automation (EDA) artifacts for submission to academic conferences like DAC. The focus shifts from chasing conference badges to ensuring community trust and scientific reproducibility. Key elements include pinning the toolchain, using standard benchmarks, providing clear setup instructions, and archiving the release in a DOI-issuing repository.

This guide provides comprehensive best practices for authors to enhance the reproducibility of technical research papers (especially in networking and computer science). It covers documenting proofs, pinning simulation setups, reporting parameters, and best practices for releasing code and datasets, transforming a paper from a claim into a verifiable scientific artifact.

This comprehensive guide provides best practices and an audit checklist for designing robust, real-world experiments in mobile and wireless communication systems. It emphasizes moving beyond simulations, detailing necessary RF setups, quantifiable energy metrics, and reporting statistical distributions to ensure high academic credibility.

A comprehensive guide for researchers detailing how to establish rigorous provenance for on-device performance measurements (e.g., energy, latency, accuracy). It mandates recording all necessary context—including device model, SoC, OS build, framework versions, power instrument setups, and thermal conditions—to ensure results are verifiable and reproducible across different hardware or environments for academic publication.

This skill provides comprehensive command-line interface (CLI) support for OpenViking, enabling agents to manage external resources, perform filesystem operations, and execute data tasks. It covers adding resources, importing/exporting data, browsing directories, reading/writing files, and advanced searching (find, grep, search). Use cases include data pipeline setup, knowledge graph manipulation, and system maintenance.

This guide teaches the 'trust-minimum principle' for writing methods sections in short scientific letters (like PRL). It instructs authors on how to rigorously partition their work, keeping only the essential, trust-bearing details (setup, key controls, uncertainties) in the body, while relegating full derivations and extensive apparatus details to the Supplemental Material (SM). This ensures brevity without sacrificing scientific credibility.