Skill UI

This skill generates a comprehensive RACI (Responsible, Accountable, Consulted, Informed) matrix for complex projects, product launches, or ongoing business processes. It clarifies ownership, defines decision rights, and maps roles across cross-functional teams (R, A, C, I), ensuring accountability and preventing bottlenecks. Ideal for governance documentation or onboarding new teams.

This skill generates a sophisticated prioritization matrix by combining quantitative RICE (Reach, Impact, Confidence, Effort) scoring with qualitative Strategic Alignment ratings. Use this when multiple features compete for resources, requiring a balanced decision between sheer user impact and adherence to core business OKRs. The output provides a scored priority matrix, quadrant placement (Now, Next, Later, Drop), and explicit sequencing recommendations.

This skill helps transform a product initiative into a comprehensive, structured influence plan. It maps key stakeholders, identifies their primary concerns and decision authority, and recommends the optimal conversation sequence. It generates tailored talking points and objection handling strategies to ensure alignment and secure buy-in from complex organizational groups.

This skill transforms AI from a validating assistant into a relentless adversary. Ideal for stress-testing high-stakes decisions, business plans, or core assumptions. It forces the model to produce the strongest case against your position, identifying potential failure points and required proofs, ensuring you confront the risks you might otherwise ignore.

A comprehensive framework designed for formal procurement decision-making. This skill guides the creation of a weighted scorecard and detailed evaluation criteria by assessing functional fit, commercial terms, security compliance, and vendor stability. Use this when conducting RFPs, comparing multiple suppliers, or making critical software/service provider choices to ensure a holistic, risk-mitigated recommendation.

This template transforms complex, multi-source materials (meeting notes, research, product data, financial feedback) into a single, highly structured, actionable one-page memo. It forces the user to distill the core problem, define a clear recommendation, map out tradeoffs, and list actionable next steps, making it ideal for C-level decision-making.

This template guides the process of turning raw A/B test results, growth experiments, or product feature data into a clear, actionable decision report. It structures the analysis beyond mere metrics by forcing the inclusion of hypothesis, setup details, result interpretation, and a final, justified decision (Ship/Stop/Iterate). Essential for Product Managers and Growth Teams.

This skill guides the definition of a defensible and decision-relevant competitor set. It is the foundational step before any benchmarking, helping users identify, categorize, and scope competitors (Direct, Adjacent, Aspirational) based on criteria like size, niche, market reach, and positioning. It ensures that strategic analysis focuses only on the most relevant rivals.

This skill assembles scored competitor profiles and market findings into a comprehensive, decision-grade report. It guides the user to answer critical client questions: who to compete with, how to differentiate, and where the defensible white-space is. Ideal for board presentations, strategic planning, and creating highly defensible client deliverables.

This skill simulates a four-voice council (Architect, Skeptic, Pragmatist, Critic) to resolve complex decisions marked by ambiguity or multiple trade-offs. It is designed for high-level strategic choices, identifying blind spots, and determining go/no-go decisions when a clear winner is absent. It specializes in synthesizing diverse perspectives to mitigate risk.

This skill is designed to streamline the process of market research. It helps users gather comprehensive data on target markets, analyze industry trends, and identify key consumer insights. Use it to inform product development, refine business strategies, and make data-driven decisions.

This skill assists in researching prediction markets, treating them as potential data sources or oracle signals for corporate decision intelligence, product development, and agent inputs. It provides source-grounded analysis of implied probabilities, signal quality, and integration patterns, while strictly avoiding investment advice.