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31.375 skills encontradas
senior-data-scientist
World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — usi
plan-with
Use when an implementation plan should be reviewed by whichever supported backend is available, or when the backend should be chosen dynamically.
icon-design
Select semantically appropriate icons for websites using Lucide, Heroicons, or Phosphor. Covers concept-to-icon mapping, React/HTML templates, and tree-shaking patterns. Use when: building feature sections, service grids, contact info, navigation, or any UI needing icons. Prevents emoji usage, ensures consistency.
wp-woocommerce
Esta skill aborda padrões de desenvolvimento WooCommerce, incluindo tipos de produto personalizados, gateways de pagamento, métodos de envio, HPOS, extensões da API REST, personalização de carrinho/checkout, classes de e-mail, integração de blocos e testes com auxiliares WC.
linear-skills
Habilidade Linear leve para buscar detalhes de issues. Retorna apenas dados essenciais (título, descrição, estado, responsável) para otimizar o uso do contexto em comparação com o Linear MCP completo.
influencer-discovery
Find and rank influencers by niche, engagement, and authenticity using Xpoz. Searches Twitter, Instagram, and Reddit for active voices in any topic. Use when asked to "find influencers", "discover thought leaders", "who's talking about X", "influencer research", or "find KOLs".
agent-native-cli
Um guia para projetar, construir e auditar ferramentas CLI para uso por agentes de IA. Ele fornece modelos iniciais, idiomatismos de implementação específicos da linguagem e um breve guia de introdução, complementando `anc` e `agentnative-spec`.
scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
lena-design
Designer-chefe de IA que critica cada decisão visual através do padrão Quartr via Claude Code.
tech-stack-evaluator
Technology stack evaluation and comparison with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks, evaluating technology stacks, calculating total cost of ownership, assessing migration paths, or analyzing ecosystem viability.
dogfood
Test Prismstack by running a real domain through the full flow (plan → build → check). Records issues found for fixing. The ultimate integration test. Trigger: "dogfood", "test with real domain", "integration test", "try it for real" Do NOT use when: just want to run install tests (use `bash test/install-test.sh`)
codex-symphony
Install and operate a portable OpenAI Symphony + Linear orchestration setup in any Git repository. Use when the user wants a one-command local Symphony runner, a reusable WORKFLOW template, background launch scripts, or a Codex wrapper that restarts Symphony automatically when reopening the CLI.