Skill UI

This framework addresses the gap between academic benchmarks and real-world production performance for LLM agents. It teaches advanced quality engineering practices, such as behavioral contract testing, adversarial testing, and statistical analysis, ensuring agents maintain reliability and robustness when deployed. It helps developers move beyond simple pass/fail rates to comprehensive capability assessment.

Preparation playbook to face board meetings confidently: memorize every critical number, anticipate hard-hitting questions, narrate candid realities with clear actions, rehearse adversarial simulations, and tailor asks to each director.

Adversarial thinking partner for founders and executives, stress-testing plans, rehearsing brutal board meetings, forcing honest postmortems, and challenging hard decisions before others find the holes—ideal when you need to expose fatal assumptions, prep for scrutiny, or understand what truly went wrong.

Blueprint turns a single-line goal into a multi-session, multi-agent engineering plan by decomposing the work into context-rich, self-contained steps, applying dependency graphs, parallelism detection, adversarial reviews, and PR/CI workflows so new agents can execute safely.

Handles IMO/Putnam/USAMO/AIME style problems by generating refined proofs, then running a fresh-context adversarial verifier to catch flaws, finally producing honest confidence reports and verified PDFs when possible.

A multiagent adversarial verification workflow that runs generation through dual independent reviewers, a verdict gate, and fix cycles to ensure publishable outputs meet compliance, accuracy, and brand constraints before shipping to users.

Adversarial Code Reviewer enforces three hostile personas to expose blind spots before merging, deduplicating findings, promoting shared issues, and issuing BLOCK/CONCERNS/CLEAN judgments after diff or file inspection.