Skill UI

This tool assesses creative fatigue across all active advertising channels. It scores creatives based on multiple decline signals (CTR, CPM, engagement, frequency) to predict when performance will drop. It generates actionable refresh briefs, recommends specific changes, and creates structured A/B test plans to maximize ad spend and maintain campaign performance throughout the entire creative lifecycle.

This tool allows users to export comprehensive marketing data—including KPIs, contact records, campaign results, and performance snapshots—to external data stores. It supports integration with BigQuery for advanced data warehousing, Google Sheets for stakeholder collaboration, and Supabase for custom application development. The process includes mandatory PII handling, schema transformation, and detailed execution summaries to ensure compliance and data integrity for downstream analytics and reporting.

This skill orchestrates the complete marketing engagement lifecycle using a proven 12-Part sequential methodology. It manages the entire project state, allowing users to start, advance parts, apply decision matrices, and resume interrupted workflows seamlessly via robust checkpointing protocols. Ideal for structured brand development and content planning.

This methodology establishes a single, authoritative, machine-checkable source of truth for service contracts (APIs or events). It guides parallel development between consumers and providers, ensuring schema stability and preventing field drift or integration surprises. Key artifacts include OpenAPI, AsyncAPI, and JSON Schema, making the contract the primary artifact for all teams to reference.

This tool serves as an orchestrator for manuscripts submitted to the Annals of the AAG. It guides authors through the complex submission process by helping define the appropriate academic area (e.g., Human Geography, Physical Geography), the article format (Article, Commentary), and the sequential developmental stages—from topic selection and theory building to data analysis and final submission. It ensures the work is framed legitimately as *geography*.

A comprehensive guide for authors targeting the ACM SIGIR conference on Information Retrieval. This skill helps determine the venue fit, structure the manuscript narrative, and ensure the research meets the high standards expected by top-tier IR reviewers. It covers core topics like search, ranking, recommendation, and the necessary evidence bar (e.g., strong baselines, test collections) for successful submission.

This system acts as an orchestrator for a three-tier model team (Advisor, Workers). It is designed for complex, large-scale tasks that exceed the capability of a single model pass, requiring decomposition, parallelization, and mandatory verification loops. Use cases include researching multiple competitors, executing multi-stage plans, or managing iterative development cycles involving different specialized AI agents.

This guide helps researchers assess whether their education topic has broad significance for a general journal like AERJ, and how to define the dominant research lens (Policy, Teaching, Development, etc.). It provides a structured methodology for sharpening focus and improving academic framing.

This tool acts as an orchestrator for academic manuscripts intended for the American Educational Research Journal (AERJ). It guides users through the entire writing lifecycle, determining the correct next step based on the current development stage and the paper's dominant education-research lens (e.g., policy, teaching, development). It is designed to ensure the contribution is pitched to the whole field, not just a subfield.

A comprehensive guide for authors aiming to publish agronomy or farming systems research in journals focused on sustainability. It outlines the critical need for making sustainability contributions explicit, measurable, and evidence-based (environmental, economic, and social). Use this tool to reframe your methodology, scope, and findings to meet rigorous academic standards for sustainable development.

This guide teaches users how to transform a collection of historical facts and sources into a sustained, contestable, and nuanced academic argument. It focuses on establishing a clear thesis, defining the stakes, building evidence chains, and proactively addressing counter-arguments, moving beyond mere description to provide genuine scholarly contribution.

This skill provides architectural guidance for writing high-level academic history articles, specifically tailored for the American Historical Review (AHR). It helps writers ensure that the narrative development and the core historical argument are seamlessly interwoven, adhering to strict length and scholarly standards. Use it when outlining complex drafts or restructuring material that feels disjointed.