Explorar skills

Design communication systems and rituals that keep product, engineering, design, and business teams aligned. Use this skill when cross-team communication is breaking down or misalignment is creating delivery problems.

Smart git commits with security checks, .gitignore validation, and intelligent commit messages. Analyzes your changes, catches potential secrets, generates conventional commit messages, and provides QA-aware formatting when issue tracking documents are present.

This skill should be used when the user asks to "research what winning means", "figure out what success looks like", "research before starting", "how to win at X", "what does winning look like for X", or wants deep research before deploying strategies. Deploys 3 research agents across 3 rounds to build a comprehensive Winning Brief.

Git 全方位專家：涵蓋 Commit 訊息生成、Pull Request 建立與審查、分支策略管理、版本發布與 Changelog。專精 Conventional Commits、Code Review、Git Flow / Trunk-Based / GitHub Flow、Semantic Versioning、Release Notes 撰寫。關鍵字: commit, pull request, PR, branch, release, changelog, git flow, trunk-based, github flow, semantic versioning, conventional commits, code review, git tag, 提交, 分支, 版本發布, 合併請求, 程式碼審查, 更新日誌, 版本號, semver, hotfix, 緊急修復, mer

Claude Code Skills

Build a customer health score model that predicts churn risk and expansion potential. Use this skill when a team needs a systematic, data-driven way to assess account health across the customer base.

Structured deep research and investigation. ML papers, competitor analysis, market research, domain intelligence, data source discovery. Uses firecrawl for web search/scraping. Outputs actionable findings with sources and confidence levels. Use when the user says "research", "investigate", "deep dive", "analyze the market", "find papers on", "competitor analysis", or needs multi-source synthesis o

Export trained PyTorch models to various formats (ONNX, TorchScript, TensorRT) and upload to model registries (Hugging Face Hub, MLflow). Use when deploying models, sharing trained weights, or preparing for production inference.

ML/AI health IT safety assessment for Digital Clinical Safety Officers. Applies NHS Digital's supplementary guidance for Assurance of Machine Learning in Autonomous Systems (AMLAS healthcare) alongside DCB0129/DCB0160. Covers ML component identification, training data bias, model performance, explainability, failure modes, and MHRA regulatory considerations. Use when a health IT system includes AI

Realiza revisões de código completas com feedback acionável e priorizado. Abrange correção, segurança, desempenho, legibilidade e melhores práticas em diversas linguagens.

Application security agent that audits code for OWASP Top 10 vulnerabilities, hardcoded secrets, and common security flaws. Triggers on: security audit, vulnerability scan, OWASP check, security review, penetration test, hardening.

Xiaolu Xuanfang é uma plataforma profissional de informações imobiliárias, utilizada quando os usuários precisam encontrar imóveis, selecionar boas ofertas, comparar preços, verificar transações, visualizar condomínios e pesquisar distritos escolares.