Skill UI

End-to-end workflow for fixing GitHub issues: understand the issue, research prior art, plan, create a branch, implement, test, and open a PR using the gh CLI. Includes prompt-injection safeguards for untrusted issue content.

A comprehensive tool for finding solutions to software errors, API usage issues, and compatibility problems by searching major developer communities, official documentation, GitHub, Stack Exchange, and various Chinese technical forums. Ideal for debugging and discovery workflows, it aggregates real-world workarounds and technical Q&A, but results should not be cited as academic evidence.

Scan entire codebases or specific changes, audit repositories for security issues, and generate verified patch files. Supports scanning whole repositories, branch diffs, or individual commits. Each finding is verified by an agent panel before reporting. Suggested patches are saved as files for manual review and application. Works in auto mode for streamlined security auditing workflows.

This dashboard provides a comprehensive, single-view operational picture of campaign health. It monitors active campaigns by showing real-time health scores, logging auto-corrections (e.g., bid adjustments, budget reallocation), displaying current guardrail rules, and identifying campaigns needing human attention. It quantifies the estimated savings achieved through automated optimizations, helping users trust the automated system while focusing strategic effort on critical issues.

Provides a unified, real-time dashboard to monitor the status and performance of all active marketing campaigns across multiple channels (ads, email, social, blog). It aggregates key metrics (Spend, ROAS, CPA), tracks execution history, surfaces pending approvals, and flags potential issues like budget overruns or stale content, ensuring continuous campaign optimization.

This comprehensive tool runs content through six critical scoring dimensions: content quality, brand voice, hallucination risk, claim verification, output structure, and readability. It generates a composite score, flags specific issues with actionable fix suggestions, and ensures compliance against defined brand guidelines. Essential for pre-publication reviews, client sign-offs, and continuous quality tracking.

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.

A comprehensive tool for managing and optimizing XML sitemaps. This utility allows users to analyze existing sitemaps for SEO health issues (e.g., 404 errors, stale dates, robots.txt conflicts) and to generate new, structured sitemaps. It adheres to industry best practices across various models (eCommerce, SaaS, etc.), ensuring optimal indexation for search engines.

This skill performs a deep technical SEO analysis, diagnosing fundamental website issues related to search engine visibility and performance. It covers optimizing Core Web Vitals, improving crawlability via robots.txt and sitemaps, fixing rendering problems (JavaScript SEO), managing complex redirects, and ensuring optimal site architecture. Use it for comprehensive site audits, migrations, and performance tuning.

A comprehensive guide for researchers to determine the academic positioning of their manuscripts. It differentiates between core accounting issues (e.g., disclosure quality, audit standards, earnings management) and corporate finance mechanisms (e.g., pricing, funding constraints). Use this tool to ensure your paper aligns perfectly with the scope of specialized academic journals.

This guide provides a comprehensive, advanced strategy for academic researchers writing microeconometric papers for top-tier journals (e.g., AEJ: Applied). It teaches authors how to anticipate sophisticated, technical objections from expert referees (such as issues with causal inference design, selection bias, or parallel trends). The focus is on pre-empting these objections by integrating solutions directly into the manuscript text, rather than waiting for a formal revision letter.

This guide outlines the rigorous methodological standards for empirical identification in macroeconomics, crucial for submitting to top-tier journals. It covers advanced techniques such as Structural VAR (SVAR), Local Projections (LP), and handling high-frequency/micro-data shocks. It ensures authors explicitly defend the mapping from raw data to dynamic causal objects, addressing critical issues like endogeneity, anticipation, and structural breaks, and providing execution checklists for modern econometric tools (DiD, IV, RDD).