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Found 1,507 Skills
When the user wants to create, optimize, or audit a HowTo section block—an in-page block of ordered steps with optional Schema.org HowTo JSON-LD. Also use when the user mentions "HowTo section," "how-to section," "steps section," "quick start," "walkthrough," "tutorial block," "3 steps," "N steps," "simple steps," "tutorial steps," "step-by-step block," "HowTo schema," "HowTo JSON-LD," "instruction steps," "numbered steps SEO," "horizontal tabs for steps," or "procedure section." This skill is for a section inside a page, not a full page template—use article-page-generator, docs-page-generator, or tools-page-generator for page-level layout. For FAQ Q&A blocks, use faq-page-generator. For structured data details beyond HowTo, use schema-markup. For article body copy only, use article-content.
Use when assessing or reviewing Kubernetes workloads running on Amazon EKS for best practice compliance, including pod configuration, security posture, observability, networking, storage, image security, and CI/CD practices. Requires kubectl and awscli access to the target cluster. Triggers on "assess my EKS workloads", "check k8s best practices", "assess container workloads", "evaluate pod security", "workload compliance check", "EKS workload assessment", "检查 K8s 工作负载", "评估容器最佳实践", "审计 EKS 应用", "检查 Pod 配置", "容器安全评估", "工作负载合规检查".
Generate secure passwords and secrets. Use when: user needs to create secure passwords, API keys, tokens, or cryptographic random strings.
A comprehensive Git assistant skill that provides intelligent branch management, commit message conventions, workflow assistance, and code review guidance. Automatically activates when users perform Git operations or use /git commands.
Google Gemini integration. Manage Users, Conversations. Use when the user wants to interact with Google Gemini data.
MUST be used whenever reviewing a Dune app for code quality, maintainability, or clean code issues — before a PR review, after a feature is complete, or when the user asks for a code review. Do NOT skip linting steps. Triggers: code quality, code review, clean code, refactor, maintainability, technical debt, any type, naming, dead code, duplication, DRY, single responsibility, component size, lint, linting, TypeScript strict, dependency injection, file structure.
This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library installation, and structuring notebooks for clarity. It also covers specific rules for data cleaning, plotting, and integrating with BigQuery SQL and machine learning workflows. Relevant when any of the following conditions are true: 1. The user request involves a data analysis, data exploration, data visualization, or data insights task that requires multiple steps, queries, or visualizations to answer. 2. The user explicitly requests a notebook (.ipynb). 3. You are creating, editing, or executing cells in a Jupyter notebook. 4. You need to query BigQuery from within a notebook. DO NOT use the Python BigQuery client library; instead, you MUST use the `%%bqsql` magics explained in this skill.
Teaches PMs to create syntactically valid mermaid diagrams by selecting the right diagram type for their communication need, following syntax validity rules, and validating before shipping. Covers all 15 mermaid diagram types with PM-relevant examples and a dual-lens navigation system.
Creates an API Gateway stage with CloudWatch logging, X-Ray tracing, throttling, WAF integration, and IAM roles following AWS best practices. Use when deploying a REST API to different environments such as dev, test, or production.
Code review guidelines covering code quality, security, and best practices.
Instrument LLM applications with Langfuse tracing. Use when setting up Langfuse, adding observability to LLM calls, or auditing existing instrumentation.
TypeScript strict patterns and best practices. Trigger: When implementing or refactoring TypeScript in .ts/.tsx (types, interfaces, generics, const maps, type guards, removing any, tightening unknown).