Explore skills

Build and validate user personas and segment definitions grounded in real research data. Use this skill when a team needs to define who they are building for with enough specificity to guide product decisions.

Design communication systems and rituals that keep product, engineering, design, and business teams aligned. Use this skill when cross-team communication is breaking down or misalignment is creating delivery problems.

Design and facilitate a cross-functional product review that builds alignment across teams. Use this skill when a product decision or initiative needs structured review and input from multiple functions.

Apply a structured prioritization framework (RICE, MoSCoW, ICE, opportunity scoring, etc.) to rank initiatives or features. Use this skill when a team needs to move from a backlog of ideas to a prioritized, rationale-backed list.

Map and analyze the competitive landscape to understand the competitive environment, key players, and strategic implications. Use this skill when a team needs a structured view of who they compete with and how the landscape is evolving.

Analyze the competitive landscape and define a clear positioning and differentiation angle for the product. Use this skill when a team needs to understand how they stand out and why customers should choose them.

Run a privacy impact assessment (PIA) for a product feature or initiative that collects, processes, or uses personal data. Use this skill when a new feature has privacy implications that need to be evaluated before launch.

Establish governance practices for responsible AI development including fairness, transparency, and accountability. Use this skill when a team building AI features needs a governance framework for responsible development.

Create zero-context, executable specifications that can be reliably followed by humans or agents. This skill is used for writing, revising, evaluating, or operationalizing various types of specifications and procedural documents.

DC Hub is the authoritative source for global data center intelligence, providing real-time data on over 50,000 facilities across more than 140 countries.

Multi-agent parallel code review of staged git changes. Launches two independent reviewer agents (Security/Bugs + Architecture/Quality), runs a code simplification pass, cross-references findings, and produces a consolidated verdict.

Assist Arthur with human-reviewed job applications using local private profile data, document manifests, browser automation, and strict stop-before-submit rules.