Skill UI

Rewrites AI-sounding text to read like a human writer while preserving meaning. Ideal for editing or reviewing prose to remove AI tells such as staged contrasts, forced triads, inflated claims, and formatting by rule. Based on Wikipedia's signs of AI writing.

This technique is designed for advanced academic research, enabling users to search for theses by running two parallel tracks: a Topic Track (focusing on discipline, methodology, and materials) and a People Track (focusing on university, advisor, degree type, and year). By switching between these two methodologies, users can cross-validate results and significantly improve the accuracy and completeness of their literature review.

A comprehensive mentor for graduate students and early-career researchers, guiding the entire research lifecycle. This skill covers formulating rigorous research questions, designing studies (quantitative, qualitative, mixed-methods), conducting literature reviews, analyzing data, and writing publishable papers. It emphasizes methodological rigor, critical thinking, and ethical considerations.

A comprehensive mentor guiding users through the entire lifecycle of academic literature reviews. It teaches systematic search strategies (PICO/PCC), critical appraisal methods, and advanced synthesis techniques. The skill covers searching major English and Chinese databases (e.g., PubMed, Web of Science, CNKI), organizing findings, and effectively utilizing AI research tools like Elicit and Semantic Scholar to build robust, evidence-based research papers.

A multi-phase workflow designed to guide users through complex problem analysis and solution design. Instead of providing immediate answers, it systematically enforces deep thinking by reviewing the problem's validity, assessing information gaps, performing root cause analysis, and iterating through solution vetting (self-check and final review). Ideal for complex technical troubleshooting, decision-making, or theoretical discussions requiring rigorous methodology.

This skill serves as the central entry point for comprehensive API security testing. It guides testers to systematically categorize and prioritize potential vulnerabilities by focusing on core dimensions such as documentation review (Recon), object-level authorization (BOLA), token integrity (JWT), and complex data structures (GraphQL/Hidden Params). Use this as the initial step when assessing a new REST or GraphQL endpoint.

A rigorous process for conducting an honest post-mortem review of executed strategic decisions. It scores outcomes against pre-committed success and kill criteria, re-evaluates original assumptions, and revisits preserved dissenting opinions to drive organizational learning. Essential for closing the strategic sprint loop.

This tool acts as a throughput-first pressure test for any major engineering initiative, including delivery commitments, hiring plans, or team restructuring. It systematically interrogates six critical dimensions—such as DORA metrics, cycle time, team structure, and production maturity—to ensure that any proposed plan is robust, operationally sound, and optimized for maximum delivery velocity.

This meta-skill orchestrates complex, multi-step job search workflows, moving beyond simple advice. It is designed for concrete tasks such as tailoring resumes to specific job descriptions (JDs), building complete application packs, preparing for named interviews, comparing multiple job roles, or maintaining an organized application tracker. It focuses on producing reviewable artifacts and never performs automatic applications.

A rigorous protocol for Chinese-canonical structural diagnosis of complex systems, organizations, or public disputes. It mandates separating facts, evidence, scale, and responsibility through a multi-stage internal reasoning process, ensuring deep structural integrity and comprehensive review before drawing conclusions.

This skill produces comprehensive 360-degree feedback instruments or structured performance reports. It guides users through collecting multi-rater input across core competencies like leadership, communication, and execution. Ideal for performance reviews, professional development planning, and assessing employee impact. The output adheres to best practices, ensuring development-oriented and behaviorally anchored feedback.

This skill generates a comprehensive, structured Customer Success Plan (CSP) that serves as a joint roadmap between the Customer Success Manager (CSM) and the client. It guides collaboration through defined business goals, measurable success metrics (KPIs), and phased milestones across the entire customer lifecycle, from onboarding to renewal and expansion. Ideal for kickoff calls, Quarterly Business Reviews (QBRs), and joint planning sessions.