Skill UI

This tool is designed to analyze source code by extracting core entities (classes, functions, modules, types) and mapping their complex relationships (imports, inheritance, calls, dependencies). It constructs a comprehensive Knowledge Graph (KG) in AgentDB. This is essential for detailed dependency analysis, understanding large codebase structures, and performing accurate impact assessments.

This tool performs pathfinder traversal across a knowledge graph starting from a specified seed entity. It expands outward through causal edges, calculates path relevance scores, and prunes low-similarity branches. It is ideal for conducting impact analyses, tracing dependency chains, or understanding complex relationships within a structured knowledge base.

A comprehensive guide to building high-performance, scalable UIs using the latest SwiftUI best practices. Covers advanced state management with @Observable, type-safe navigation using NavigationStack, view composition techniques, and crucial performance optimization tips for iOS and macOS development.

This skill helps discover natural groupings within a large collection of semantic embeddings using the `ruvector` tool. It employs graph-based algorithms (Spectral/Louvain) to cluster code or data, revealing underlying themes, identifying outliers, and organizing vast vector sets. Ideal for analyzing codebases or large datasets to understand relationships between entries.

A comprehensive guide for establishing and managing creator partnerships across B2C and B2B channels. This skill covers identifying ideal partners based on audience alignment, vetting for authenticity and brand safety, structuring fair compensation models (flat fee, CPA, hybrid), and developing sustainable ambassador programs to maximize measurable ROI.

This comprehensive tool generates professional, structured marketing agency proposals, pitch decks, and scopes of work. It guides the creation of all necessary components—including strategic analysis, service deliverables, KPI frameworks, pricing models, and terms & conditions—to help agencies formalize engagements, win new business, or expand existing partnerships.

Generates a comprehensive and structured brief for influencer marketing campaigns. This tool guides users through setting campaign objectives, defining creator criteria, establishing creative guardrails, managing compensation structures, and ensuring global compliance (e.g., FTC, EU deepfake rules) for paid partnerships. Ideal for brand marketing teams and agencies.

This comprehensive skill guides the end-to-end planning of influencer and creator partnerships. Use it for discovering authentic creators, building detailed campaign briefs, ensuring FTC compliance, measuring performance (ROAS, EMV), and managing user-generated content (UGC) strategies across multiple platforms. It covers everything from vetting creators to handling international compliance.

This comprehensive guide provides authors with best practices for preparing supplementary artifacts for AAAI submissions. It outlines how to structure technical appendices, package reproducible code and data ZIPs, maintain strict anonymity (by removing author metadata and paths), and maximize the evidence for reproducibility. The goal is to ensure that external reviewers can easily verify the research claims without specialized or private tools.

This guide provides comprehensive strategies for writing the Related Work section for submissions to AAAI. It teaches authors how to robustly position their paper's novelty by distinguishing contributions from both established archival literature and contemporaneous non-archival work (like arXiv papers). It also addresses specific reviewer expectations across various AI subfields (NeurIPS, ICML, ICLR) and outlines clear structural templates for maximum impact.

This guide provides detailed rules for structuring supplementary material (technical appendices, code/data ZIPs, multimedia) for AAAI submissions. It emphasizes that core contributions and essential evidence must reside in the main paper, while appendices should only deepen the argument. It covers guidelines for maintaining double-blind anonymity, ensuring immutability, and achieving reproducibility.

This guide helps researchers strategically decide if their AI project is a strong fit for the AAAI conference. It provides detailed criteria, including strong and weak signals, and routing logic to determine whether the work should be submitted to AAAI, or routed to specialized venues like NeurIPS, ICML, or domain-specific conferences (e.g., CVPR, KDD). Use it to refine your project's framing and maximize submission success.