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Gerador de Plano de Teste A/B que cria roteiros de teste estruturados com sequências priorizadas, calculadoras de duração, requisitos de tamanho de amostra, limiares de significância estatística, modelos de hipótese e calendários de 90 dias para Meta, Google e LinkedIn.

Build financial models, backtest trading strategies, and analyze

Patiently AI simplifies medical documents for patients. Takes doctor's letters, test results, prescriptions, discharge summaries, and clinical notes and explains them in clear, personalised language. Built by PharmaTools.AI.

Engineering operating model for teams where AI agents generate a large share of implementation output.

Use when implementing any feature or bugfix, before writing implementation code

Verifies builds, recovers from errors, and applies review fixes. Use when user mentions ビルド, build, 検証, verify, エラー復旧, error recovery, 指摘を適用, apply fixes, テスト実行, tests fail, lint errors occur, CI breaks, テスト失敗, lintエラー, 型エラー, ビルドエラー, CIが落ちた. Do NOT load for: 実装作業, レビュー, セットアップ, 新機能開発.

Audita a segurança do código, cobrindo OWASP, credenciais, autenticação, controle de acesso, cadeia de suprimentos e hardening. É ativado por termos como 'auditoria de segurança' ou 'OWASP', e não é para trabalho ofensivo (use lockpick).

Work with .excalidraw/.excalidraw.json diagrams and architecture flowcharts; delegate JSON-heavy Excalidraw operations to avoid context exhaustion.

This skill should be used when the user is writing, reviewing, debugging, or architecting Python backend code using Litestar or FastAPI with SQLAlchemy or Advanced Alchemy. Provides expert critique covering SOLID principles, hexagonal architecture, repository/service patterns, dependency injection, async correctness, ORM usage, API design, anti-pattern detection, and modern Python patterns for mat

When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' 'consumer behavior,' 'anchoring,' 'social proof,' 'scarcity,' 'loss aversion,' 'framing,' or 'nudge.' Use this whenever someone wants to und

Intelligent bug fixing workflow combining root cause analysis, multi-model reasoning, Codex auto-fix, and comprehensive testing. Uses RCA agent, Codex iteration, and validation to systematically fix bugs.

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.