Desenvolvimento

· Review code for correctness: bugs, edge cases, races, leaks, regressions. Triggers: 'review', 'code review', 'find bugs', 'check this', 'spot check', 'sanity check'. Not for style/slop (anti-slop) or vulnerabilities (security-audit).

A directory path, file path, or natural language scope like "auth layer" or "API routes". Omit to vet the entire project.

Use esta skill sempre que Claude precisar escrever, sugerir ou executar comandos shell, scripts ou instruções de terminal, especialmente em contextos de codificação de IA. Ela suporta scripts bash/shell, comandos SSH, operações Docker, comandos Git, ambientes virtuais Python, PowerShell, Windows CMD e tarefas CLI multiplataforma.

Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.

Publish a Codex or Claude skill to Skillstore, SkillMap, or similar public skill marketplaces. Use when you need to audit a skill for public safety, build a public package, create a public GitHub repo, or submit a repo URL to marketplace intake endpoints.

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.

Code quality dashboard. Wraps existing project tools (type checker, linter, test runner, dead code detector, shell linter), computes a weighted composite 0-10 score, and tracks trends over time. Use when: "health check", "code quality", "how healthy is the codebase", "run all checks", "quality score". (gstack)

**AI-friendly comprehensive testing guidance for Vitest with practical patterns and behavior-driven development.**

Record a scientific-method entry for an experiment — hypothesis, setup, outcome, lesson. Use before running any non-trivial experiment (new feature, new model, new CV strategy, new agent tactic) so the hypothesis is written down BEFORE the result. Also use when the user says "log experiment", "track this test", or "record the hypothesis".

Infrastructure safety skill for blocking dangerous git commands in Claude-driven workflows. Use when the repo or user environment needs guardrails against destructive git operations. Not a delivery-pipeline step; it makes later work safer.

Esta skill é para buscar, pesquisar ou analisar logs de jobs do Databricks, especialmente ao depurar falhas de jobs. Não se aplica a perguntas gerais sobre código Spark ou configurações de cluster Databricks.

When the user wants to add or optimize structured data (Schema.org, JSON-LD). Also use when the user mentions "schema," "structured data," "JSON-LD," "rich results," "rich snippets," "Google rich snippets," "featured snippet schema," "add schema to page," "missing structured data," "schema validation error," "Schema Markup Validator," "Google Rich Results Test," "FAQ schema," "Article schema," "Or