aka. Agent Skills
Discover skills for AI coding agents. Works with Claude Code, OpenAI Codex, Gemini CLI, Cursor, and more.
Use when cypress CI/CD integration including parallelization, test recording, and media capture.
Use when custom ESLint rules and plugins including rule development, AST traversal, and publishing.
Use when cypress fundamentals including commands, assertions, fixtures, and E2E testing patterns.
Use when applying Checkstyle built-in checks for Java code including naming conventions, code metrics, and suppressions.
Use when analyzing and fixing Dialyzer warnings and type discrepancies in Erlang/Elixir code.
Use when developing custom Checkstyle checks, filters, and plugin integrations for project-specific Java code standards.
Analyze a Figma frame's structure, properties, and implementation considerations
Extract design tokens and variables from a Figma file to create or update a design system
Generate production-ready code from a Figma component or frame using the Figma MCP server
Use when configuring Dialyzer for Erlang/Elixir type checking and static analysis.
Use when implementing secure secrets management with Fnox. Covers encryption, key management, access control, and security hardening.
Use when planning git branching strategies or managing branches for development. Helps create clear development narratives through effective branch organization and workflow patterns.
Use when integrating Dialyzer into development workflows and CI/CD pipelines for Erlang/Elixir projects.
Use when Django Class-Based Views for building modular, reusable views. Use when creating CRUD operations and complex view logic.
Use when discovering, exploring, or retrieving gluestack-ui components via MCP tools. Provides access to component source code, variants, demos, and metadata.
Use when Django ORM patterns with models, queries, and relationships. Use when building database-driven Django applications.
Use when Go error handling with error wrapping, sentinel errors, and custom error types. Use when handling errors in Go applications.
Use when optimizing GraphQL API performance with query complexity analysis, batching, caching strategies, depth limiting, monitoring, and database optimization.
Use when Django REST Framework for building APIs with serializers, viewsets, and authentication. Use when creating RESTful APIs.
Use when auditing GraphQL operations for complexity metrics, depth analysis, directive usage, or query performance concerns.
Use when validating GraphQL operations/documents against a schema, checking query depth, complexity, or fragment usage.
Use when writing or creating new Standard Operating Procedures (SOPs) for AI agents. Covers effective SOP writing, clarity principles, and actionable instruction design.
Use when updating, versioning, deprecating, or maintaining existing Standard Operating Procedures. Covers keeping SOPs accurate, relevant, and synchronized with implementation changes.
Use when writing SOPs that require precise requirement levels using RFC 2119 constraint keywords (MUST, SHOULD, MAY). Covers proper usage of requirement keywords for deterministic agent behavior.