Skill UI

This comprehensive companion tool translates high-level business growth strategies (Growth Plan) into a concrete, 12-month operational roadmap. It systematically details quarterly themes, monthly initiatives, content calendars, channel cadences, and resource pacing, ensuring every action is measurable and tied directly to strategic business goals. Use this to move from 'what if' to 'what to do, when to do it.'

Analyzes entire content libraries to detect invisible revenue loss signals, such as declining organic traffic, falling keyword rankings, and outdated statistics. This tool doesn't just identify stale content; it calculates the potential revenue gain for refreshing each piece, allowing users to prioritize updates based on maximum business impact.

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 skill allows users to save structured marketing insights and learnings into a persistent intelligence graph. By capturing observations, context conditions (channel, audience, objective), and confidence levels, it builds compound intelligence. This process transforms one-off campaign findings into a consistent, queryable knowledge base that enhances all future marketing strategies and decision-making.

The Unified Memory system provides a durable, inspectable context layer for sharing state and handoffs between multiple autonomous agents (harnesses) like Claude, Codex, and Hermes. It allows agents to save work state, transfer context, resume tasks, and search shared project knowledge across different scopes (project, team, user).

A comprehensive guide outlining rigorous data analysis and reporting standards for geographic manuscripts. It covers spatial statistics, remote sensing accuracy, and qualitative interpretation, emphasizing spatial honesty, quantifying uncertainty, and ensuring results are robust across different scales and units.

This guide details how to position academic manuscripts within a specific geographic scholarly debate, rather than simply citing domain literature. It teaches authors to identify the "closest prior account," articulate a cross-cutting geographic stake, and engage with core geographic theories to enhance the impact of their findings for an advanced scholarly audience.

A comprehensive guide detailing the process of responding to major or minor revisions from academic journals (like AAAG). It teaches authors how to structure a point-by-point rebuttal letter, address editor and referee concerns methodically, strengthen the core academic argument, and incorporate required methodological and cartographic fixes, ensuring the response is both respectful and scientifically rigorous.

A comprehensive guide for strengthening the methodological design of advanced geographical manuscripts. It covers various paradigms including spatial/quantitative GIScience, remote sensing, qualitative human geography, and mixed methods. Key advice areas include rigorously addressing spatial dependence (MAUP), validating measurements, justifying case selection, and ensuring holistic integration of diverse data sources.

A comprehensive guide detailing the Annals of the American Association of Geographers (AAAG) review process. It covers double-anonymous peer review, subject editor criteria, common pitfalls (such as lack of theory or poor cartography), and how to interpret decision letters to maximize acceptance chances. Use this before submission to stress-test your manuscript and improve scholarly rigor.

A comprehensive preflight checklist for authors submitting to the Annals of the American Association of Geographers (AAG). This guide ensures manuscripts meet the strict standards for double-anonymity, word count caps (e.g., 11,000 words), Chicago style formatting, and proper handling of sensitive geographic data before submission via ScholarOne.

A comprehensive set of guidelines for generating maps, figures, and tables for academic journals. This guide emphasizes cartographic standards, statistical rigor, and maximizing the visual argument, ensuring that all exhibits are reproducible, legible in print, and adhere to strict word count limitations. It covers everything from projection choice and data normalization to model plot interpretation and handling spatial uncertainty.