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Produce high-retention, dopamine-aware video content using brainrot editing techniques — fast cuts, word-by-word captions, sound design, visual velocity, pattern interrupts — all in service of genuinely valuable content. The Fireship model: brainrot pacing meets real substance. Built on Remotion with Imagen/Veo for assets. Use when: (1) creating edutainment content that competes with brainrot for

Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex m

Compose multi-panel publication figures with patchwork, cowplot, gridExtra (R), or matplotlib GridSpec/subfigures (Python) including shared axes/legends/guides collection, panel labels in Nature/Cell convention, and journal-spec sizing. Covers patchwork ≥1.2.0 axes='collect' feature, Type-42 font embedding, and the cairo_pdf save path. Use when composing 2+ subpanels into a single figure for journ

Gera histórias STAR, perguntas para prática e tópicos de conversa a partir do currículo.

Pro mode — engineering standard enforcement. Forces senior-engineer behavior: root-cause discipline, layer awareness, current-gen API verification, blast-radius thinking, caller-first API design, no stubs, no sycophantic agreement, no unverified assumptions. Invoke via /prodev or 'prodev' — always run via Skill tool, never skip or summarize.

Assistente de criação de conteúdo impulsionado por IA, baseado na arquitetura Claude Skill. Suporta adaptação para múltiplas plataformas e é compatível com CoPaw/Claude Code.

Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.

Serena MCP for project memory and code navigation. Use when managing Serena memories, navigating symbols, performing intelligent refactoring, or maintaining context/continuity across AI agent sessions.

Build Manhattan, Miami, QQ, and locuszoom-style regional plots from GWAS, TWAS, PWAS, and QTL summary statistics with correct genomic-inflation diagnostics, multi-trait overlays, lead-SNP labeling, and LD-aware regional rendering. Use when visualizing association results across the genome, comparing two traits, computing genomic inflation lambda, or zooming into a locus with LD coloring.

O Azure AI Agents Persistent SDK para .NET é um SDK de baixo nível para criar e gerenciar agentes de IA com threads, mensagens, execuções e ferramentas. Ele oferece suporte a CRUD de agentes, threads de conversação, respostas por streaming, chamada de função, pesquisa de arquivos e interpretador de código.

Loop 1 of the Three-Loop Integrated Development System. Research-driven requirements analysis with iterative risk mitigation through 5x pre-mortem cycles using multi-agent consensus. Feeds validated, risk-mitigated plans to parallel-swarm-implementation. Use when starting new features or projects requiring comprehensive planning with <3% failure confidence and evidence-based technology selection.

Write and run tests for React Native apps using Jest and React Native Testing Library. Use when creating tests, debugging failures, or setting up test infrastructure.