Skill UI

Automates contributing guide creation in technical documentation; triggers on explicit requests, follows best practices, offers step-by-step help, generates code/config samples, and validates outputs for API docs, user guides, and architecture docs.

A comprehensive guide to optimizing context window usage within AI coding environments like Cursor. Learn how to strategically use @-mentions, manage context pills, and leverage different context sources (codebase, documentation, web) to prevent context overflow and ensure the AI generates highly accurate, relevant, and context-aware code suggestions and answers for complex development tasks.

A comprehensive guide to configuring Cursor's privacy features. This documentation covers enabling Privacy Mode for zero data retention, managing data flow from chat and indexing, implementing sensitive file exclusion using .cursorignore, and understanding telemetry settings. It also provides compliance mapping for GDPR, HIPAA, and SOC 2 compliance.

This skill automates the creation of comprehensive documentation for relational databases (PostgreSQL/MySQL). By introspecting live schemas, it extracts detailed metadata including table structures, column descriptions, primary/foreign key relationships, indexes, views, and stored procedures. The output provides a data dictionary, entity-relationship map, and schema statistics, crucial for knowledge transfer and database lifecycle management.

Automates database schema visualization tasks by guiding diagram creation, recommending best practices, producing ready-to-use code, and validating visual documentation for systems that need clear relational overviews.

A comprehensive runbook designed for on-call engineers to manage Databricks incidents, outages, and major job failures. It provides structured procedures for immediate triage, decision tree guidance (covering cluster failures, code errors, and data quality issues), and steps for evidence collection and postmortem documentation, ensuring rapid and systematic incident resolution.

Defuddle CLI extracts clutter-free markdown from web pages, stripping navigation and ads to save tokens when analyzing documentation, articles, or blogs; prefer it over WebFetch for non-.md URLs.

Automates the creation of deprecation notices for technical documentation, guiding users through patterns, best practices, and validation steps when writing API docs, user guides, or architecture notes.

Automates guidance when requesting design doc templates, covering patterns, best practices, and example triggers across API, user, and architecture docs to streamline technical documentation.

Guides users through a three-stage workflow for collaborative documentation, helping teams gather context, iteratively refine structure, and test readability before sharing specs, proposals, or decision docs.

This skill analyzes existing codebases to create comprehensive, long-form technical documentation. It captures the architecture, design patterns, implementation details, and rationale (the 'why') behind complex systems. Ideal for creating definitive technical manuals, system overviews, and internal knowledge bases for onboarding and maintenance.

Guides users through writing, reviewing, and editing documentation with consistent structure, tone, and accuracy; ideal when creating README files, updating docs folders, or refining markdown drafts per contribution standards.