Skill UI

A comprehensive tool for managing all URL redirects (301/302) across a website. Use it to create permanent or temporary redirects, systematically audit existing rules for common SEO issues like redirect chains, loops, and broken links, and fix these issues. Essential for site migrations, URL restructuring, and maintaining high SEO performance by preventing traffic loss.

Automates the scheduling of core content across major social media platforms, including Instagram, LinkedIn, X, TikTok, and YouTube. This tool generates platform-optimized variations, adhering to specific character limits, aspect ratios, and brand guidelines. It also integrates advanced features like UTM tracking, optimal posting time recommendations, and engagement monitoring setup, ensuring consistent and high-impact brand presence across all channels.

Build a comprehensive, platform-specific social media strategy that defines core content pillars, optimal posting cadences, detailed engagement playbooks, and growth tactics. Tailored for platforms like Instagram, TikTok, and LinkedIn, this tool ensures your content aligns with algorithm best practices and achieves defined business goals.

This skill serves as a comprehensive pre-flight check to ensure a brand profile is complete and all linked credentials/connectors are reachable. It validates required identity fields, voice/audience completeness, and live connector connectivity, without exposing any sensitive credential values. Use it after onboarding, key rotation, or profile edits to guarantee production readiness.

A comprehensive audit checklist for authors submitting papers to major NLP conferences (like ACL) via OpenReview. This guide covers mandatory formatting rules, maintaining anonymity, addressing ethical declarations (Responsible NLP), managing resubmission links, and ensuring adherence to the entire submission workflow to prevent desk rejection.

A powerful skill designed to analyze raw ad campaign performance data from platforms like Google, Meta, and LinkedIn. It goes beyond simple metrics reporting, providing deep diagnosis by identifying underperforming ads, pinpointing budget waste, and calculating the true Customer Acquisition Cost (CAC). It generates concrete, actionable recommendations for what to cut, scale, or test next, optimizing your ad spend and maximizing ROAS.

This guide details how the journal Agricultural Systems (AgSy) evaluates manuscripts, covering the single anonymized peer review process, desk screening criteria, and expert reviewer expectations. It helps authors pre-empt common rejection points related to systems thinking, model rigor, and decision relevance before formal submission.

A comprehensive guide for strengthening the methodological rigor of academic manuscripts, particularly for high-stakes journals. It covers advanced techniques for causal identification (e.g., Difference-in-Differences, Instrumental Variables, Regression Discontinuity), pre-analysis planning, linking theory to empirical tests, and defending claims against skeptical reviewers. This skill focuses on methodological architecture, not code.

A comprehensive guide for structuring and defending the methodological design of social science manuscripts, particularly for high-impact journals like AJS. It covers diverse traditions—including quantitative, comparative-historical, ethnographic, and network analysis—ensuring the design rigorously supports the theoretical claim, rather than just presenting data. Use this when justifying case selection, identifying assumptions, or linking field observations to major theoretical arguments.

A comprehensive audit guide for the final pre-upload stage of major academic conference submissions (e.g., ASPLOS). This tool ensures compliance across critical areas, including strict 11-page limits, mandatory LaTeX templates, correct full-name citation formatting, hyperlinked DOIs, double-blind anonymity, and accurate HotCRP form completion.

This guide assists researchers in structuring and presenting academic evidence for top-tier journals like ASQ. It provides best practices for both qualitative (establishing transparent data-to-theory links, coding transparency) and quantitative (ensuring robust mechanism testing and alternative explanation checks) analyses. It ensures all theoretical claims are auditable and fully supported by the raw data.

A comprehensive guide detailing the rigorous methodologies for conducting and reporting high-level academic research. It covers norms for quantitative, comparative-historical, and computational analyses, emphasizing transparency, reproducibility, robustness checks (e.g., confounders, alternative specifications), and linking claims directly to evidence, suitable for top-tier social science journals.