Skill UI

Suggests when to manually run /compact at logical workflow boundaries instead of relying on automatic compaction, helping preserve context after research, milestones, or task shifts.

Manages the creation and orchestration of complex, multi-step workflows. Supports two powerful methods: persistent MCP templates for human-gated, resumable pipelines, or native JavaScript scripts for advanced, programmatic agent fan-out. Ideal for complex business logic such as auditing, research, or multi-stage data processing.

This skill provides comprehensive capabilities for executing, monitoring, and managing the lifecycle of workflows. It supports both structured MCP workflow management (execute, pause, resume, cancel) and invoking/resuming native JavaScript workflows defined in the `.claude/workflows/` directory. Use it to orchestrate complex, multi-step processes, including sequential, parallel, and conditional logic.

Design comprehensive customer journeys using state machine logic. This tool maps out every touchpoint, defines transitions based on customer behavior, incorporates branching logic for personalization, and simulates expected outcomes across multiple communication channels (email, SMS, social, etc.) before implementation. Ideal for optimizing acquisition, retention, and advocacy strategies.

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.

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.

This advanced skill provides a rigorous framework for assessing whether an organizational or management research manuscript is suitable for highly selective, theory-driven journals like the Academy of Management Journal (AMJ). It guides authors on necessary theoretical framing, methodological rigor (e.g., endogeneity, causal inference), structural improvements, and common pitfalls to avoid, significantly improving submission quality and maximizing acceptance chances.

This tool guides authors to assess whether their management or organizational research manuscript is suitable for the Academy of Management Review (AMR). It focuses on the journal's pure-theory nature, providing detailed checks on conceptual novelty, logical rigor, structural requirements, and identifying potential desk-reject risks for non-empirical, theory-building papers.

This skill guides users through the process of assessing if their academic manuscript aligns with the scope and standards of *Accounting and Economics Research*. It covers journal positioning, required structure (abstract, citations), methodological rigor, and common pitfalls, helping researchers optimize their writing for specific academic venues.

A comprehensive guide for authors targeting the ACM/IEEE Symposium on Logic in Computer Science (LICS). This tool helps evaluate manuscript fit, refine the narrative, and structure evidence (proofs, theorems, artifacts) specifically for LICS, ensuring the work aligns with foundational logic and theoretical CS standards. Use it when submitting highly theoretical papers to this top-tier venue.

This comprehensive guide provides stringent methodological standards for authors submitting papers to ACM Multimedia (ACM MM). It details how to rigorously validate cross-modal claims, ensuring that evidence supports the multimedia contributions. Key areas covered include designing ablations to isolate fusion mechanisms, conducting robust user studies, reporting performance against matched baselines, and maintaining transparency regarding datasets, media licenses, and compute costs.