Skill UI

A comprehensive tool for finding solutions to software errors, API usage issues, and compatibility problems by searching major developer communities, official documentation, GitHub, Stack Exchange, and various Chinese technical forums. Ideal for debugging and discovery workflows, it aggregates real-world workarounds and technical Q&A, but results should not be cited as academic evidence.

Performs a deep, comprehensive audit of a brand's current digital marketing presence across all active channels, including paid search, social, email, SEO, and compliance. It inventories what is currently live, identifies performance gaps, flags budget leaks, and provides a clean, actionable baseline document required before any major marketing planning or strategy refresh. Ideal for agency onboarding or post-acquisition audits.

This skill generates the critical Client Validation Document (Part 5), serving as the definitive checkpoint where raw, unbiased v1 research findings are formally presented to the client. It structures complex findings into actionable blocks, forcing client decisions (ACCEPT, REJECT, EDIT, or DEFER) on strategic implications. This ensures all subsequent project phases are aligned with confirmed business consensus.

This skill produces the strategic core (Part 3) of the engagement methodology, generating four interconnected documents: Business & SBU Analysis, Segmentation Framework, Brand Positioning, and DMFlow. These documents define the brand at a deep strategic level and serve as the foundational reference for all subsequent channel strategies and creative executions.

This advanced tool performs comprehensive keyword research, classifying search intent (informational, commercial, etc.), identifying long-tail opportunities, and conducting competitor content gap analysis. It generates a highly prioritized, actionable content strategy document complete with recommended formats and a full SEO content roadmap.

A comprehensive tool for creating and updating highly specific audience segments across multiple platforms (CRM, Email, Ad Networks). Users can define segments using advanced criteria, including RFM modeling, behavioral data (page views, purchases), demographic details, and engagement status. This ensures campaigns are targeted precisely, supports cross-platform synchronization, and maintains clear documentation for reproducibility.

A structured tool for sending critical, warning, or informational alerts to internal teams via Slack or Intercom. Ideal for pushing campaign status updates, performance metric alerts, or formal approval requests to stakeholders. It supports advanced features like tiered urgency flagging, context embedding (IDs, metrics), and mandatory execution approval, ensuring all internal communication is documented and actionable.

A comprehensive guide for preparing scholarly manuscripts involving spatial data. It outlines best practices for documenting data provenance (sources, projections, processing chains), ensuring reproducibility, and adhering to critical ethical standards such as geoprivacy and human-subjects protection. Essential for maintaining research integrity in academic publishing.

Provides comprehensive guidelines for designing, auditing, and documenting empirical evidence for high-level AI research submissions (e.g., AAAI). It covers essential methodologies including strong baselines, single-factor ablations, robustness testing (shift, seed, prompt), statistical significance, and ensuring perfect alignment with reproducibility checklists and ethical reporting. Use this guide before submission to ensure empirical evidence strongly supports all claimed AI contributions.

A comprehensive guide for structuring research artifacts (code, models, datasets, media) for ACM Multimedia conferences. It details the distinct requirements for anonymous review packages versus permanent public releases, offering guidelines on ethics, licensing, reproducibility, and track-specific documentation.

A comprehensive guide for writing and verifying the institutional and accounting standard background section in academic manuscripts. This tool emphasizes the critical need for precision, requiring accurate standard names, official document numbers (文号), effective dates, and applicable scopes. Essential for empirical studies relying on regulatory changes, ensuring the manuscript meets the high standards of authoritative accounting journals.

A comprehensive guide for assembling a fully reproducible research package for macroeconomics papers targeting the American Economic Journal (AEJ: Macro). It ensures compliance with the AEA Data and Code Availability Policy by documenting raw data, simulation/calibration code, estimation routines, and visualization steps, guaranteeing that results can be independently verified by reviewers.