Skill UI

This skill enables professionals to manage sales pipelines, conduct structured discovery using MEDDIC, negotiate deals, and forecast revenue accurately. It covers the full sales cycle from qualification to closing and handoff to customer success.

Designs and analyzes activation funnels, calculating stage conversion, drop-off, bottlenecks, and defining the predictive aha activation event for retention.

Design trustworthy LLM and agent evaluations: weighted rubrics, LLM-as-judge calibration, inter-rater agreement, and Elo/Bradley-Terry pairwise ranking of model or prompt variants.

Set delegation policy, write agent-ready tickets, plan review capacity, and measure agent vs human delivery when AI coding and ops agents take tickets.

This expert agent acts as an agile coach to guide teams and organizations through framework selection, transformation planning, and continuous improvement. It performs maturity assessments across six dimensions, recommends suitable frameworks like Scrum or Kanban, and designs transformation roadmaps. The tool also facilitates retrospectives, tracks team health metrics, and analyzes sprint velocity to ensure data-driven progress without anti-patterns.

This skill checks AI-generated marketing content and reviews for compliance with regulations like the EU AI Act and FTC rules. It helps label AI ads, deepfakes, chatbots, and influencer posts correctly across different jurisdictions and platforms. It ensures pre-publication disclosure requirements are met to avoid legal penalties.

Extends standard PRDs with AI system design, model selection, eval and safety plans, guardrails, cost modeling, and rollout gates for LLM, RAG, agent, or ML features.

This skill guides teams from idea to AI-generated prototype, customer validation, and engineering handoff. It helps decide between prototyping and specs, select fidelity levels, brief AI tools, conduct user testing, and manage handoffs. Includes Python scripts for planning and validation checks to prevent shipping prototype code.

Learn to optimize content for AI search engines like Google AI Overviews, Perplexity, and ChatGPT using Generative Engine Optimization (GEO). This skill covers citability audits, schema markup, and structuring content for extractability to ensure your content is cited in AI-generated answers rather than just ranked in traditional search results.

Generate AI SEO tracker report briefs from live MCP data. Summarize AI search visibility for ChatGPT, Gemini, Perplexity, and Copilot. Create weekly recaps or TL;DR summaries for AI search mentions and rankings. Synthesize data without restating tables.

Track AI search visibility across ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews. Monitor brand mentions, citation sources, competitor rankings, and snippet analysis. Connect via MCP for automated data retrieval and real-time AI search performance tracking. Includes tools for project management, scan activation, and feedback submission.

Build scalable dbt transformation layers, dimensional models, tested SQL, and semantic-layer metric definitions for analytics engineering.