All Skills

Operates Laravel applications in production, covering Horizon, queues, scheduler, Octane, Redis, Supervisor, PHP-FPM, cache, and deployment with safety gates for destructive commands.

Opera clusters Proxmox VE e PBS via SSH ou API REST, diagnosticando quorum, Ceph, VMs, LXC, HA, replicação, storage e backup, com modo consultivo quando não há acesso configurado.

Arquiva briefs, peças e aprendizados de campanhas no Obsidian (pasta local) e no Notion (via MCP), usando links e estrutura de pastas para reuso futuro.

Conduz investigação de incidentes com método: triagem, hipóteses, mitigação, RCA e postmortem, priorizando evidências e confirmação humana.

Cria peças únicas de feed (quote card, card de dado, capa, anúncio estático) com hierarquia visual e boas práticas de design, integrando-se ao Figma para montagem e screenshot.

Cria peças verticais 9:16 (story, reels, shorts, TikTok) respeitando as áreas seguras da interface do app, com guias, legendas acessíveis e verificação por screenshot.

Estrutura prompts para geradores de imagem e vídeo, otimizando custo e consistência com a marca.

Design precise, production-grade enterprise UI — dashboards, admin panels, SaaS interfaces, and data-heavy applications. Use this skill for professional software interfaces that need Jony Ive-level craft: clean, minimal, functional, with intentional personality. Do NOT use for creative landing pages, marketing sites.

Automates repetitive infrastructure and deployment tasks with Terraform, OpenTofu, Ansible, GitHub Actions, and n8n, enforcing safe practices like plan review and confirmation before applying changes.

Benchmark, load test, capacity plan, and cache with k6, JMeter, Locust, and pgbench. Use when the user says "slow", "performance", "load test", "stress test", "how many users can it handle", "capacity", "cache", "benchmark", "k6".

Avalia a confiabilidade de uma plataforma inteira, mapeando pontos únicos de falha, calculando error budgets a partir de SLOs, revisando prontidão para produção e analisando resiliência e capacidade.

Organiza, compara e seleciona variações de imagens geradas, publicando uma grade de comparação como Artifact para aprovação do time, com critérios de avaliação e registro de decisões.

Cria e mantém o contexto de criativos da marca, incluindo Figma, brand kit, formatos, geradores e restrições, para uso por outras skills do plugin.

Audita criativos antes da aprovação, verificando contraste, legibilidade, área segura, hierarquia, aderência ao brand kit e conformidade, com veredito de aprovação, ajuste ou reprovação.

Monta carrosséis completos para Instagram, LinkedIn e Facebook, estruturando slides, definindo hierarquia e construindo no Figma como componente com variantes, com revisão e texto alternativo.

Generates a structured Product Requirements Document (PRD) for a new feature, including clarifying questions, user stories, functional requirements, and success metrics.

Enforces strict outside-in red-green-refactor TDD with one-failure-per-turn discipline, predicting failures before every run, hardcoding minimum changes, and using triangulation and property-based testing. Triggers on explicit TDD requests and tasks phrased as 'implement', 'add', 'write a function', 'build a feature'.

Analyzes Claude Code session logs to report token usage, tool and skill rankings, and session search by prompt text.

Converts existing PRDs into the prd.json format used by the Ralph autonomous agent system, including splitting large features into right-sized stories and creating a progress file.

Decompose large user stories into thin, independently deliverable vertical slices using the SPIDR method (Spike, Path, Interface, Data, Rules).

Reviews a codebase for structural smells and refactors them with provable safety, using micro commits and green-bar discipline.

Performs structured code reviews of git branches, tracking findings in a living document and optionally running deep architectural analysis with subagents.

Apply strict-mode Bash scripting conventions: minimal validation, concise logic, executable scripts, and no unnecessary comments or echoes.

Reviews and repairs risky or unclear code with minimal validated changes, running a fixed-point loop until the diff is clean across two consecutive review cycles.

Delivers measurement-driven performance optimization for latency, throughput, memory, and tail behavior, with correctness preservation and regression guards.

Clarifies ambiguous or conflicting requests by researching first, then asking only judgment calls. Use when prompts say "grill me", ask hard questions, request relentless interrogation, pressure-test assumptions, clarify scope/requirements, define success criteria, or request system-design/optimization decisions.

Compiles up to five durable insights from the current conversation for possible addition to CLAUDE.md, focusing on patterns, preferences, and project knowledge.

Analyzes a local codebase to infer its actual architecture from code-first evidence, producing a dominant architecture label, coexisting patterns, drift, and repo-fit advice for downstream agents.

Writes user-focused acceptance criteria for Jira stories using Given/When/Then scenarios, and updates the ticket via the Atlassian MCP server.

Generates a concise bullet-point summary of branch changes for a pull request description, grouping related commits by theme and verifying details against actual files.

Forces a second, harder escalation pass using the original glazer prompt words verbatim, pushing for a sharper replacement thesis rather than more polish.

Mines a codebase for evidence-backed improvement opportunities, forcing two escalation gates to surface breakthrough ideas, and outputs a ranked portfolio with a plan seed without implementing.

Audits over-engineered codebases by factoring layers into live obligations, quotienting redundant distinctions, ablating unearned surface, and normalizing survivors while preserving required behavior. Produces an evidence-backed Reduction Certificate, cuts, migration phases, proof signals, and rollback.

Reviews development plans for gaps, hidden assumptions, critical misses, and XP violations, then presents prioritized findings for confirmation.

Runs a ten-round adversarial gauntlet to pressure-test absolute claims, refining them with explicit boundaries and an Oracle synthesis.

Runs a UI redesign experiment by creating three git worktree branches for modern minimal, bold creative, and classic refined design directions, then implements and compares each approach.