Skill UI

This guide provides a comprehensive strategy for crafting a persuasive response letter when submitting a revised manuscript following a 'Revise and Resubmit' (R&R) decision. It teaches authors how to address multiple, sometimes conflicting, demands from anonymous reviewers and an editor, ensuring the revision appears academically convergent and strengthens the paper's core contribution. It focuses on structure, tone, and strategic argumentation rather than generating new findings.

This skill guides researchers in developing robust, theoretically innovative manuscripts, specifically for top-tier journals like JPSP. It moves beyond simply reporting data by teaching how to define a core claim, derive diagnostic, testable hypotheses (H1, H2, H3...), establish clear mechanisms, and map the cumulative argument across multiple studies. It focuses on the theoretical framework, not the data analysis itself.

This specialized router guides authors through the complex, multi-stage process of writing a manuscript for the Journal of Risk and Uncertainty (JRU). It diagnoses the current bottleneck—be it theoretical representation, empirical elicitation, structural estimation, or writing style—and directs the user to the most appropriate specialized skill needed to advance the research, ensuring the core focus remains on decision-making under risk and uncertainty primitives.

This guide models the rigorous, multi-cycle decision-making process for top-tier data mining conferences like KDD. It details how decisions are weighed, considering reviewer scores, rebuttal strategies, area chair synthesis, and specific criteria (e.g., reproducibility, ethics, industrial feasibility) across outcomes like Accept, Resubmit, and Reject. Essential for understanding academic publishing rigor.

This guide details the rigorous process of revising an academic essay after receiving multiple substantive reader reports and an Editorial Board decision, specifically for PMLA submissions. It outlines strategies for addressing every reader comment, reconciling conflicts openly, protecting the core argument, and maintaining academic anonymity throughout the revision process.

This guide provides a strategic framework for authors responding to a Revise-and-Resubmit (R&R) decision for top-tier academic journals. It teaches how to write a comprehensive response letter that addresses diverse reviewer concerns from multiple theoretical traditions (e.g., symbolic interaction, group processes) while protecting the core structure and unique contribution of the paper. Focuses on principled defense, strategic concession, and maintaining scholarly rigor.

This guide outlines the essential principles for structuring scientific manuscripts submitted to academic journals. It details how to correctly allocate core evidence, lengthy proofs, additional experiments, and multimedia content across the main text, appendices, and supplementary materials. The core principle emphasized is that all evidence crucial for judging the paper's scientific contribution must reside within the main body text.

This guide helps researchers position their work within the broader, multidisciplinary development conversation. It teaches how to move beyond simply presenting new data or techniques, focusing instead on bridging disciplines (e.g., economics and political science) and identifying the core conceptual contribution that a non-specialist can grasp. It is crucial for manuscripts aiming for high-impact development journals.

This guide outlines best practices for structuring supplementary materials for OOPSLA submissions. It emphasizes the 'layering decision,' ensuring the core body can stand alone while appendices provide necessary proofs and technical details. It covers maintaining double-anonymity across all included content and performing crucial cross-checks for consistency across multiple review rounds.

This tool provides a comprehensive, multi-faceted audit of a codebase's health. It scores the project across critical areas like security vulnerabilities, exposed secrets, dependency risks, and structural integrity. Ideal for senior engineers performing pre-commit or pre-release quality assessments to identify weak spots and generate a prioritized remediation plan.

This tool systematically audits and scores defined AI agents to ensure they are correctly scoped, highly specific, and safe for programmatic orchestration. It checks for description ambiguity, over-permissive tool grants, and anti-patterns that break headless workflows. Use it when onboarding new agents, integrating agent fleets, or debugging inconsistent multi-agent selection.

A sophisticated, multi-agent system designed to perform deep, comprehensive code reviews on pull requests. It covers core elements like code quality, functionality, security vulnerabilities, and testing coverage. Advanced features include detecting scope drift, enforcing SOLID principles, identifying DRY violations, and providing anti-hallucination safeguards for maintain high software integrity.