Skill UI

Drafts self-assessments, peer reviews, and upward feedback using WorkIQ evidence from emails, meetings, and contributions. It helps you write honest, impact-focused performance reviews in your own voice with STAR-based structure.

This tool analyzes and maps the downstream dependencies of a semantic model across multiple Fabric workspaces. It is crucial for performing impact assessments before making modifications, auditing connected reports, or mapping cross-workspace data flows. It automates the lineage discovery process, providing comprehensive visibility into which reports rely on a specific data source.

Produces a comprehensive and structured change management plan for any organizational transformation or system rollout. This skill guides users through critical phases, including stakeholder analysis, impact assessment, communication strategy, training plan development, and resistance mitigation, ensuring a high probability of successful adoption.

This methodology guides organizations through a comprehensive cybersecurity risk assessment using the NIST SP 800-30 framework. It systematically identifies threat sources, vulnerabilities, and potential threat events. By determining the likelihood and impact of these threats, the process calculates overall risk, resulting in a prioritized, defensible risk register. Essential for compliance (e.g., ISO 27001, HIPAA), system authorization, and strategic risk reporting.

This tool is designed to analyze source code by extracting core entities (classes, functions, modules, types) and mapping their complex relationships (imports, inheritance, calls, dependencies). It constructs a comprehensive Knowledge Graph (KG) in AgentDB. This is essential for detailed dependency analysis, understanding large codebase structures, and performing accurate impact assessments.

A comprehensive tool for authors targeting the ACM Asia Conference on Computer and Communications Security (ASIACCS). It provides expert guidance on assessing whether a computer and communications security manuscript is a strong fit for this specific, high-impact venue. Topics covered include conference fit assessment, evidence bar establishment, manuscript re-framing strategies, threat modeling, and proper community positioning for maximum review impact.

A comprehensive guide for authors targeting ACM MobiCom. It assists in conference fit assessment, manuscript re-framing, and strengthening the evidence base for mobile networking and wireless systems papers. Learn how to position your work against specific venue requirements, distinguish contributions (e.g., networking vs. platform), and structure your paper for optimal review impact.

This skill guides researchers to pressure-test their anthropological project's suitability for a major journal like American Anthropologist (AA). It emphasizes achieving "four-field reach"—ensuring the findings matter broadly to all subfields (sociocultural, archaeology, biological, linguistic)—rather than being merely novel within a single niche. Use it before committing to fieldwork or writing to assess global impact, theoretical contribution, and ethical rigor.

This skill acts as a comprehensive router for writing high-impact scientific manuscripts, such as those intended for Cell Press journals. It does not perform specialized analysis but guides the user through the optimal sequence of steps—from initial scope assessment and study design to statistical rigor, figure presentation, and final revision. Use this when diagnosing manuscript bottlenecks or determining the next logical writing stage.

This comprehensive guide helps authors determine the suitability and necessary framing for research related to environmental contamination. It mandates moving beyond simple pollutant detection, requiring rigorous evidence to connect contaminants to their fate, transport, and demonstrable ecological or human health impact. Essential for method validation, QA/QC, and scientific rigor.

A comprehensive guide to preparing accountability artifacts for AI research papers, particularly for venues like FAccT. It covers the necessary documentation genres—including datasheets for datasets, model cards for models, and impact assessments—to ensure transparency, verifiability, and accountability regarding claims of fairness and harm mitigation in AI systems. The focus is on making research outputs rigorously traceable and ethically responsible.

This guide provides a detailed walkthrough of the rigorous review process at International Organizations (IO). It covers aspects like double-blind peer review, specialized expert assessment, and the distinctive verification stage where quantitative results and formal proofs are re-run. Use this to pre-empt potential failure modes and structure your manuscript for maximum impact before submission.