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Found 9,585 Skills
This skill should be used when searching, fetching, or downloading emails from Gmail. Use for queries like "search Gmail for...", "find emails from John", "show unread emails", "emails about project X", or "download attachment from email".
Mass spectrometry toolkit (OpenMS Python). Process mzML/mzXML, peak picking, feature detection, peptide ID, proteomics/metabolomics workflows, for LC-MS/MS analysis.
Read and write Obsidian vault files, manage wiki-links, process markdown with YAML frontmatter. Use when working with vault file operations, creating notes, or managing links.
Tailwind CSS v4 utility-first styling patterns including responsive design, dark mode, and custom configuration. Use when styling with Tailwind, adding utility classes, configuring Tailwind, setting up dark mode, or customizing the theme.
Source royalty-free images and videos from Pexels API for design, placeholders, or content. Supports search, curated/popular content, collections, multiple resolutions, and ALWAYS creates detailed sidecar metadata files.
pytest-django testing patterns, Factory Boy, fixtures, and TDD workflow. Use when writing tests, creating test factories, or following TDD red-green-refactor cycle.
Django form handling patterns including ModelForm, validation, clean methods, and HTMX form submission. Use when building forms, implementing validation, or handling form submission.
This skill should be used when user asks to "query Azure resources", "list storage accounts", "manage Key Vault secrets", "work with Cosmos DB", "check AKS clusters", "use Azure MCP", or interact with any Azure service.
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
Create patent-style technical diagrams including flowcharts, block diagrams, and system architectures using Graphviz with reference numbering
Expert in the Swift ecosystem, specializing in iOS/macOS/visionOS development, Swift 6 concurrency, and deep system integration.
Use when prompts produce inconsistent or unreliable outputs, need explicit structure and constraints, require safety guardrails or quality checks, involve multi-step reasoning that needs decomposition, need domain expertise encoding, or when user mentions improving prompts, prompt templates, structured prompts, prompt optimization, reliable AI outputs, or prompt patterns.