Skill UI

Guide VP/CPO transitions through a 30-60-90-day diagnostic onboarding that emphasizes learning, evidence gathering, and phased decisions instead of premature execution.

This expert guides users through comprehensive customer research, whether analyzing existing assets (transcripts, surveys, tickets) or gathering new intel from online sources (Reddit, G2, forums). It helps uncover deep customer pains, desired outcomes, and underlying needs (Jobs to Be Done) to ground product strategy, marketing copy, and positioning in real-world evidence.

Performs a systematic and structured investigation to determine the true source of bugs, errors, and unexpected system behavior, rather than merely treating symptoms. This method utilizes techniques like the Five Whys, hypothesis-driven testing, stack trace analysis, and gathering evidence (logs, git diffs) across multiple phases. It is ideal for complex, intermittent, or deeply rooted technical issues in software development.

Collects comprehensive diagnostic evidence for support tickets related to AssemblyAI. This utility automates the gathering of runtime environment details, SDK versions, API connectivity checks, and specific transcript statuses, greatly accelerating troubleshooting and issue resolution for speech-to-text applications.

This skill acts as the primary orchestrator for any American Historical Review (AHR) manuscript. It guides users through the entire academic writing lifecycle, determining the next necessary step based on the project stage. From developing a significant historical question and gathering primary sources to structuring the argument, refining prose, and managing citations, it ensures the focus remains on deep historiographical evidence and interpretation.

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.

This guide provides a rigorous methodology for systematically gathering, reading, and synthesizing vast amounts of sociological research for comprehensive academic reviews. It focuses on ensuring comprehensive coverage across all methodological modes (quantitative, qualitative, computational, and theoretical), allowing users to build a robust evidence corpus and synthesis matrix rather than merely summarizing individual studies.

This skill guides art historians on gathering, weighing, and citing non-visual, documentary, and material evidence for academic articles. It covers citing primary sources (archives, contracts), reconstructing provenance chains, interpreting technical reports, and ensuring that all scholarly claims are rigorously traceable to verifiable sources rather than mere assertion.

This workflow router serves as the central orchestrator for academic articles submitted to art history journals. It guides authors through the complex, multi-stage publishing lifecycle, from initial topic selection and scholarly positioning to visual analysis, evidence gathering, and final submission. Crucially, it proactively manages the often-overlooked and time-consuming process of image rights and permissions, ensuring authors do not delay this critical step until the end.

A comprehensive, step-by-step guide for researchers planning and executing a submission to the ASE (Automated Software Engineering) conference. Covers the entire academic lifecycle, from initial topic selection and evidence gathering (reproducibility) to abstract registration, double-anonymous submission, navigating the early-rejection gate, rebuttal, criteria-bound revision, and final camera-ready artifact submission.

A comprehensive guide detailing the complex, multi-stage workflow for submitting a systems paper to a major academic conference (like ASPLOS). It maps out timelines across two submission gates, revision cycles, hardware evidence gathering (T-8 to T-2), and critical role assignments required to successfully navigate the intense academic publication process.

This comprehensive guide provides a rigorous framework for identifying and testing the causal mechanisms underlying public administration outcomes. It moves beyond merely stating an effect, guiding researchers to detail the specific processes—such as policy execution, attention allocation, or central-local relations—that cause the observed outcome. It covers both quantitative mediation analysis (e.g., causal inference frameworks) and qualitative process evidence gathering, ensuring theoretical grounding and causal rigor in academic manuscripts.