Skill UI

This skill facilitates the persistent storage of critical brand knowledge, including campaign learnings, brand guidelines, and competitive intelligence, into a specialized memory layer (such as a vector database). It automatically indexes content, deduplicates entries via hashing, and applies rich metadata tagging, ensuring that valuable institutional knowledge is preserved and retrievable through natural language search across different sessions.

This tool executes comprehensive SEO implementation changes directly on connected CMS platforms like WordPress and Webflow. It facilitates the deployment of structured data (JSON-LD schema), updating meta tags, managing canonical URLs, creating 301/302 redirects, and requesting indexation. The process enforces a mandatory approval gate to ensure auditability and a structured implementation report for every change, bridging the gap between SEO recommendations and live deployment.

A comprehensive tool for managing and optimizing XML sitemaps. This utility allows users to analyze existing sitemaps for SEO health issues (e.g., 404 errors, stale dates, robots.txt conflicts) and to generate new, structured sitemaps. It adheres to industry best practices across various models (eCommerce, SaaS, etc.), ensuring optimal indexation for search engines.

Performs a deep dive technical SEO audit, covering core web vitals, crawlability, indexation, site architecture, and structured data. This audit identifies technical debt and provides a prioritized, actionable report with specific fixes and expected impact for improving search engine visibility and ranking.

Share durable context and handoffs between AI agents like Claude and Codex via the local ECC Memory Vault. Use this skill to save work state, transfer context, resume tasks, or search shared project knowledge across different agent harnesses.

A comprehensive guide for authors preparing the supplementary material for multimedia conferences (e.g., ACM MM). It details how to structure the content, separating core arguments (Body) from supporting evidence (Supplement). Learn best practices for packaging videos, audio, and interactive demos, ensuring technical compatibility (H.264/MP4), maintaining anonymity for double-blind review, and creating a legible, reviewer-friendly submission index.

A comprehensive guide for authors preparing the final, camera-ready manuscript for major academic conferences. It details crucial post-acceptance steps, including systematically de-anonymizing the paper, restoring author affiliations and funding details, correctly implementing ACM copyright forms and DOI stamps, adhering to strict page budgets, and verifying all metadata for proper archival indexing in the ACM Digital Library.

This guide provides expert recommendations on organizing supplementary material for academic papers. It teaches authors how to distinguish between load-bearing evidence (for the main text) and reassuring, secondary data (for the internet appendix). Proper indexing, cross-referencing, and material triage are critical for creating a lean, navigable, and highly persuasive manuscript.

This guide teaches researchers how to accurately assign JEL (Journal of Economic Literature) classification codes to academic surveys. It details the three-level taxonomy structure, guiding users to select the primary field code, relevant method codes, and adjacent subject codes to ensure proper indexing and scope mapping within the American Economic Association's subject map.

A comprehensive guide for researchers focusing on quantitative economic measurement, including TFP, efficiency analysis (DEA/SFA), and index construction. It emphasizes the necessity of methodological transparency, data traceability, reproducible calculations, and rigorous sensitivity testing to ensure the scientific validity of quantitative findings.

This guide details the rigorous, post-acceptance process for preparing a research paper for IEEE Xplore publication. It covers crucial technical steps beyond simple formatting, including complete de-anonymization, adhering to the IEEEtran template, finalizing metadata (ORCID, index terms), passing PDF eXpress compliance, securing eCopyright, and properly linking open data repositories with DOIs.

This comprehensive guide details advanced econometric methodologies required for rigorous causal inference studies. It covers how to defend both the causal identification strategy (DiD, RD, IV) and the quality of variables (handling measurement error, index construction). Learn to meet the stringent standards of top-tier journals by applying techniques like staggered DiD estimators, density testing, and attenuation correction.