Skill UI

A comprehensive, multi-stage skill designed to simulate a professional Continuous Integration (CI) pipeline. It guides users through critical quality gates, including build verification, type checking, linting, running test suites (with coverage checks), security scanning for secrets, and final diff review. Use this skill before creating a Pull Request or finalizing any significant feature to ensure code robustness and adherence to best practices.

This skill summarizes user-provided input into one concise paragraph. It is specifically designed to enhance E2E (End-to-End) coverage testing within development environments, such as Agent Builders. The generated summary ensures comprehensive content representation and must include the E2E_SUMMARY_SKILL_PASS marker for validation.

This skill provides comprehensive guidance for developing and executing digital PR strategies. It covers end-to-end processes, including crafting optimized press releases, managing journalist outreach, establishing thought leadership, and building E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) to maximize media coverage and brand credibility. Ideal for media relations and strategic communications planning.

A comprehensive tool for developing full-scale PR pitch packages. It assists users in crafting tailored pitch templates for various media types (national, trade, podcast), building precise target media lists with journalist contacts, and designing detailed outreach sequences. Ideal for proactive pitching or responding to journalist requests, ensuring brand consistency and maximizing coverage potential.

This framework provides a rigorous methodology for conducting systematic literature reviews and comprehensive academic syntheses. It guides researchers through building transparent coverage, designing robust coding matrices, and choosing the correct integration method (narrative, systematic, or bibliometric) to move beyond simple summarization and create an auditable intellectual map of a field.

A comprehensive guide for addressing rigorous academic peer review feedback, especially for top-tier journals. It provides a structured, point-by-point framework for authors to revise their work, focusing on strengthening the core theoretical framework, integrating coverage gaps, establishing critical attitude, and maintaining scholarly balance. Use this when responding to major revisions or full-review referee reports.

This guide teaches researchers how to construct credible, high-impact synthesis exhibits for academic reviews (e.g., Academy of Management Annals). It focuses on creating framework figures, who-studied-what synthesis tables, and coverage exhibits that summarize existing literature, rather than presenting new primary data estimates. Essential for systematically structuring and communicating complex knowledge fields.

This guide outlines a systematic methodology for conducting comprehensive literature reviews in economics. It moves beyond simple summarizing by teaching researchers how to build an evidence matrix, ensuring systematic coverage by sweeping databases (JEL codes, keywords, working papers). It is essential for preparing high-impact academic reviews that must prove exhaustive coverage and synthesize complex, often conflicting, findings.

A comprehensive guide for structuring and executing revisions when responding to academic referee feedback, particularly for Annual Reviews of Economics (ARE). This method helps authors triage feedback (e.g., coverage gaps, balance, structure) and draft a clear, defensible response letter that strengthens the article's core economic proposition.

This comprehensive checklist guides authors through the final preflight stages of submitting a commissioned article to Annual Reviews of Economics (ARE). It ensures compliance with the publisher's specific requirements, including conflict-of-interest disclosure, data reproducibility for meta-analyses, systematic coverage documentation, and adherence to the unique house style. It is crucial for authors delivering an invited review, not for unsolicited submissions.

This skill audits academic literature reviews (like Annual Reviews of Psychology) to ensure they maintain scholarly rigor, balance, and objectivity. It checks for uneven coverage across different labs or theories, ensures evidence is weighted by design strength and replication status (not mere vote-counting), and flags potential self-promotion or bias. Use this when scrutinizing a high-stakes scientific review for academic fairness.

This skill guides the systematic gathering and structuring of literature for comprehensive academic reviews, such as an Annual Review of Psychology (ARPsych). It ensures broad coverage by executing traceable searches (database sweeps, citation chasing) and building a detailed evidence matrix (one row per finding). This establishes a robust, documented base of evidence, allowing the user to focus their analytical contribution later without sacrificing completeness.