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Found 644 Skills
Scaffolds new projects with best practices (CI/CD, Tests, Linting) pre-configured. Ensures a "healthy" starting point for Next.js, FastAPI, Node.js, and more.
Unified gateway for all document generation tasks. Automatically routes to specialized artisan skills based on the requested format (PDF, DOCX, XLSX, PPTX, HTML).
Generates diverse AI user personas to autonomously test applications. Simulates beginners, power users, and users with accessibility needs to discover hidden UI/UX flaws.
Speak like a pirate.
Generate standalone HTML reports from JSON/Markdown.
Audits AI systems for bias, fairness, and privacy. Analyzes prompts and datasets to ensure ethical and safe AI implementation.
Use this skill when the user wants to dockerize the current project and generate a Dockerfile and docker-compose.yml based on the existing codebase. This skill inspects the repository structure, avoids unsafe assumptions, and produces a minimal, runnable Docker setup for local development.
Use this skill when asked to create a GitHub issue. It handles different issue types (bug, feature, etc.) using repository templates and ensures proper labeling.
Use this skill when asked to review text and user-facing strings within the codebase. It ensures that these strings follow rules on clarity, usefulness, brevity and style.
CRITICAL RULE: You MUST use this skill whenever the task involves any machine learning tasks or data analysis. Use this skill if the user's prompt or requirements mention any of the following: * Clustering * Classification * Regression * Time series forecasting * Statistical testing * Model comparison * ML * Data analysis SQL/BigQuery ML HANDOFF: If the user requires a SQL solution, use this skill to dictate the ANALYSIS STEPS (e.g., markdown analysis cells, visualization logic), but defer to `bigquery` for all SQL syntax.
Use these skills when you need to optimize storage, identify index issues, analyze table statistics, or manage autovacuum and tablespace configurations to maintain peak database health.
Primary entry point for building, managing, and orchestrating data pipelines on Google Cloud. Guides users to the appropriate skill for dbt, Dataflow (Apache Beam), Dataform, Spark (Dataproc Serverless), BigQuery Data Transfer Service (DTS) or orchestration pipeline using Cloud Composer. Clarify requirements and resolve ambiguity for creating, updating and running data pipelines.