Explorar skills

When the user wants to get press coverage, appear on podcasts, or build relationships with journalists and content creators. Also use when the user mentions "podcast guesting", "press outreach", "PR", "media exposure", "get on podcasts", or "journalist outreach".

Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Django, TypeORM, golang-migrate).

Autonomous Goal-directed Iteration. Apply Karpathy's autoresearch principles to ANY task. Loops autonomously — modify, verify, keep/discard, repeat. Supports bounded iteration via Iterations: N inline config.

Cross-language CLI standards — subcommand structure, flag/env/config/default precedence, TOML in XDG, stdout-data/stderr-logs split, --output json|yaml, exit codes, NO_COLOR, completions. Go (cobra+pflag+viper) and Python (typer) recipes. Use when designing or reviewing a CLI.

Geração de prompts para simulação de agentes e GEO para auditoria de visibilidade de IA. Utilize para criar tarefas de simulação via TPC CLI, gerar prompts GEO sem marca para testar recomendações de produtos por IA, ou executar simulações de agentes.

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, o

Generates Mermaid diagrams from Trailmark code graphs. Produces call graphs, class hierarchies, module dependency maps, containment diagrams, complexity heatmaps, and attack surface data flow visualizations. Use when visualizing code architecture, drawing call graphs, generating class diagrams, creating dependency maps, producing complexity heatmaps, or visualizing data flow and attack surface pat

Collaborative programming framework for production-ready development. Use when starting features, writing code, handling security/errors, adding comments, discussing requirements, or encountering knowledge gaps. Applies to all development tasks for clear, safe, maintainable code.

Generate detailed workflow reports with metrics, health assessments, and epic-specific analysis for GitHub Elements. Covers throughput, cycle times, compliance status, and thread history.

Run a premortem on any plan, launch, product, hire, pricing change, strategy, or high-stakes decision. Uses Gary Klein's prospective-hindsight method — assume it already failed at a future date and work backward to surface every plan-specific cause, then produce a revised plan, mitigations, early-warning signals, and a pre-launch checklist. USE WHEN premortem this, run a premortem, what could kill

Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.