post-game-press-conference-simulator

Quick Review

The skill provides a basic framework for generating sports press conference responses with reasonable structural clarity. However, the Description lacks specificity about parameters (e.g., sport type, team/player names, game outcome details, controversy types) that a CLI agent would need to invoke it effectively. The task knowledge section mentions key elements (coachspeak, player personalities, various scenarios) but doesn't provide concrete examples, templates, or tone variations that would demonstrate how to generate authentic responses. The structure is clean but generic, using a boilerplate template without sport-specific content. Novelty is moderate—while this aggregates sports media knowledge, a capable LLM could generate similar responses without this skill, though the skill may provide more consistent 'coachspeak' patterns. To improve: add concrete response examples for different scenarios (win/loss/controversy), specify required input parameters, include actual templates with placeholder variables, and demonstrate the difference between coach vs. player voice or different sports contexts.