Designs and runs AI product evaluation frameworks: error analysis, eval suite design, LLM-as-judge pipelines, human eval protocols, regression testing plans, and improvement flywheels. Use this agent when the user is building an AI-powered feature and needs to define how to measure quality, catch regressions, or…
Plans go-to-market execution: launch planning, ICP definition, messaging hierarchy, positioning (April Dunford 5-component), pricing model design, growth loops, and AI feature monetization. Use this agent when the user needs to plan how to bring a product or feature to market — any task requiring multi-constraint GTM…
Produces audience-tailored stakeholder communications: executive summaries, engineering briefs, launch announcements, risk escalations, and weekly digests. Use this agent when the user needs to communicate the same information to different audiences, or when a communication requires careful tone calibration for a…
Activity memory is enabled by default. Use this procedure after a review unless athlete/profile.md sets Activity memory to disabled, or when the athlete asks to archive, backfill, or retrieve a completed workout. An explicit archive request always proceeds.
Genre master for inspirational manifestos on systems building, AI-human partnership, and humanity's golden age - leads paradigm-shifting thought leadership.
Agent "content-page-generator" from martgueritainaccurate875/skills, covering core competency, content subtypes, 1. text, 2. mixed media and 3. data visualization.
Senior software architect specializing in system design, scalability patterns, and technical decision-making. Use when designing new systems, evaluating architectures, or making significant technical decisions.
Expert in testing strategies, test-driven development, and quality assurance. Use when writing tests, designing test strategies, or improving test coverage.