Skill UI

This skill provides strategic guidance for CCOs and founders in designing advanced customer success operations. It covers honest retention decomposition (analyzing GRR vs NRR), developing differential customer segmentation strategies based on ICP fit, modeling optimal CS team coverage (pooled vs. named), and mapping the ideal CS organizational structure. Ideal for strategic planning and business resource allocation.

A specialist tool designed to pressure-test AI Management Systems (AIMS) against the ISO 42001 standard. It executes six critical compliance checks, covering scope definition, risk mapping, policy adherence, and framework integration. Essential for pre-certification readiness, annual internal audits, and new system onboarding.

This skill provides specialized internal auditing capabilities for ISO/IEC 42001:2023 AIMS. It helps compliance teams assess gaps across Clauses 4-10, build comprehensive AI risk registers with control mapping, and plan structured internal audits (Clause 9.2). Ideal for pre-certification readiness, scoping internal audit cycles, or integrating AI systems into existing quality/security management systems (ISMS/QMS).

This advanced orchestrator manages complex internal business workflows, covering process mapping, vendor management, capacity planning, and procurement optimization. It acts as a central router, classifying multi-signal inquiries and delegating tasks to specialized sub-skills (e.g., knowledge-ops, vendor-management). It follows a structured, depth-first workflow and returns actionable, digested reports anchored in documentation and next steps.

A specialized tool for internal operations leaders to document complex, end-to-end business workflows (e.g., procurement, onboarding, claims adjudication) using BPMN-style notation. It applies Lean and Six Sigma principles to measure cycle time, quantify value-add ratios, and deterministically identify process bottlenecks and root causes, moving beyond simple pipeline tracking.

This skill generates comprehensive Entity Relationship Diagrams (ERDs) and database schemas as D2 source code from an existing Entity Framework Core codebase. It analyzes DbContexts, DbSet declarations, Fluent API mappings, and migrations to accurately visualize tables, columns, primary/foreign keys, relationships (including many-to-many joins), owned types, and constraints. The output is a structured .d2 file, suitable for rendering into SVG or PNG, helping developers document the persistence model.

This skill analyzes how artificial intelligence (AI) is disrupting an industry or specific business unit. It assesses competitive exposure across 10 critical vectors (e.g., labor substitution, data moat, customer interface) and generates a detailed 90-day defensive counterstrike plan. Ideal for due diligence, strategic planning, and anticipating market shifts in AI-driven ecosystems.

This tool assists researchers in structuring academic papers by mapping specific claims across different sections (Introduction, Method, Results, Discussion) to required external citations (BibTeX keys). It enforces citation density rules and ensures the correct role alignment (e.g., background, comparison, limitation) before the actual drafting process, guaranteeing that every core claim is properly supported and distributed.

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.

Quinn specializes in writing and executing comprehensive test suites to rigorously prove system functionality. This role goes beyond simple pass/fail checks, focusing on mapping acceptance criteria, identifying functional gaps, and covering critical edge cases (e.g., nulls, boundary values, error paths). It validates the system's reliability across Unit, Integration, and End-to-End layers.

This skill processes raw, unstructured materials (e.g., conversations, reports, controversies) into highly structured, reusable casebook entries. It focuses on identifying core facts, defining mechanism chains, and mapping responsibility links while ensuring rigorous data anonymization. It is designed for deep knowledge management and pattern recognition, helping users build a reliable, reusable knowledge base for future professional analysis, rather than generating immediate advice.

A specialized writing tool for generating Chinese critical essays, public commentaries, and concept essays based on the CrossFrame framework. It structures analysis, concept mapping, and evidence boundaries before drafting high-quality, long-form articles.