Skill UI

This tool provides a holistic, portfolio-level quality assessment by evaluating multiple content pieces (assets, libraries, or deliverables) simultaneously. Instead of reviewing content one by one, it processes the entire set to generate comprehensive rankings, dimension breakdowns (e.g., brand voice, claim verification), systemic issue reports, and a prioritized revision list. Ideal for content audits, pre-launch checks, and large campaign reviews.

A robust tool for deploying high-impact marketing messages via SMS or WhatsApp. This function enforces multiple mandatory compliance checks—including GDPR, TCPA, and CASL consent verification, opt-out requirements, and quiet hours enforcement—before sending. It ensures that every message adheres to legal standards, minimizing risk and guaranteeing explicit user approval for execution.

A comprehensive guide for authors submitting research on software testing, analysis, verification, and fuzzing to ISSTA. It provides strategic advice on framing the paper, establishing necessary evidence (e.g., fault models, benchmarks, real-world data), and ensuring the contribution aligns precisely with the requirements of top-tier CS conferences.

A comprehensive guide for authors writing the Related Work section of ACM Multimedia papers. It teaches how to position cross-modal contributions by covering diverse single-modality shelves (Vision, Audio, Language, HCI), tracing the cross-modal lineage, defining the specific cross-disciplinary novelty (delta), and adhering to academic hygiene standards like double-blinding and venue verification.

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 details the rigorous data analysis and reporting standards required for top-tier academic journals, such as AJPS. It focuses intensely on reproducibility, ensuring that all results—from primary findings to exploratory models—are generated by a single, seeded master script. Key requirements include reporting uncertainty intervals, proving robustness, adhering to pre-registration discipline, and accommodating mandatory third-party code verification. Use this when conducting complex empirical research in social sciences or political science, needing to withstand intensive methodolo...

A comprehensive guide for authors submitting revisions to top-tier academic journals, such as AJPS. It details the strategy, structure, and specific constraints required for the response memorandum following a Revise & Resubmit (R&R) decision. The guide emphasizes addressing every reviewer comment, reconciling conflicting demands, maintaining double-blind anonymity, and ensuring all new analyses are fully reproducible for third-party verification.

Provides a detailed guide on the mandatory pre-publication replication and verification process for American Journal of Political Science (AJPS). It instructs authors on building a robust, reproducible package—including code, data, and documentation—that an independent third party can re-run to confirm all numerical findings match the main text before publication.

This guide details the multi-stage, rigorous review process for the American Journal of Political Science (AJPS). It covers the mechanics of double-blind screening, editorial fit assessment, expert peer review, and the unique, critical post-acceptance third-party verification step. It is designed to help authors anticipate and mitigate potential rejection issues by structuring and refining their manuscripts to meet top-tier academic standards.

This guide outlines the stringent standards for creating tables and figures (exhibits) for the American Journal of Political Science (AJPS). It emphasizes that exhibits must be self-contained, highly accessible, and, critically, regenerated exactly by deposited code for third-party verification. It provides best practices for structuring research results, managing word counts by differentiating between core arguments in the main text and supporting details in the Supporting Information (SI).

This is the comprehensive orchestrator for submitting manuscripts to the American Journal of Political Science (AJPS). It guides users through the entire academic writing lifecycle, helping them determine the correct submission type (Article, Research Note, Correspondence) and ensuring critical steps, such as mandatory third-party code verification, are integrated from the start. It dispatches to specific sub-skills rather than drafting content.

A comprehensive guide to adhering to ASA/ASR data-sharing and transparency standards for social science research. It helps users prepare thorough documentation, define data provenance (codebooks, scripts), manage confidentiality constraints (IRB, proprietary data), and ethically prepare materials for academic publication. Use this when structuring a manuscript's data section or anticipating reviewer questions about data verification.