Explore our collection of Agent Skills to enhance your AI workflow.
Implements accessible, themeable UI components using Radix UI primitives and Tailwind CSS styling patterns.
Analyzes codebases for 12-Factor App methodology compliance to ensure cloud-native readiness and architectural scalability.
Enables Claude to send interactive questions and receive user responses via Slack for remote task management.
Processes external code review feedback using a verification-first methodology to ensure technical accuracy before implementation.
Orchestrates environment preparation, information gathering, and Git branch creation to begin development on a Jira ticket.
Enables complex ontology querying, mapping, and visualization using the Ontology Access Kit (OAK) library.
Reviews Swift Testing code for modern framework patterns, macro usage, and asynchronous verification best practices.
Identifies and fixes common implementation errors and architectural pitfalls when building PydanticAI agents.
Streamlines the development of AI-powered chat interfaces with streaming, tool calling, and multi-step reasoning patterns.
Enforces strict role boundaries and status signaling for specialist AI agents within multi-agent workflows.
Architects and generates specialized Claude Code agents using optimized templates and Anthropic best practices.
Provides a comprehensive technical guide for developing, distributing, and managing plugins for the Claude Code ecosystem.
Implements structured dependency injection for PydanticAI agents to manage database connections, API clients, and external resources.
Applies Dead Simple Ontology Design Patterns to ensure consistency in term creation, naming conventions, and logical definitions.
Simplifies the creation of deterministic, recorded, and snapshot-based tests for PydanticAI agents and workflows.
Audits and evaluates AI agent codebases for compliance with the 12-Factor Agents methodology to ensure production-grade reliability.
Provides a comprehensive technical guide for building, configuring, and optimizing custom skills within the Claude Code ecosystem.
Implements complex node-based UI patterns and interactive diagrams using React Flow and XYFlow.
Implements modern CSS-first styling using Tailwind CSS v4 configuration patterns and OKLCH color systems.
Implements stateful agent graphs and multi-actor workflows using the LangGraph framework.
Identifies and cleans up AI-generated code patterns, including redundant tests, dead code, and over-engineered abstractions.
Automates Google Workspace services including Sheets, Docs, Gmail, and Drive with production-grade JavaScript patterns.
Reviews Swift App Intents code to ensure optimal structure, Siri integration, and compliance with Apple's framework standards.
Validates Prometheus metrics implementation in Go applications to ensure optimal observability and performance.
Enforces idiomatic Go testing patterns including table-driven tests, proper subtest isolation, and descriptive error reporting.
Simplifies the registration and implementation of PydanticAI tools with automated context handling and type-safe function calling.
Implements high-performance vector similarity search and embedding storage directly within SQLite databases.
Reviews WidgetKit code to ensure optimal timeline management, view composition, and performance across Apple platforms.
Standardizes the logging of code review outcomes to enable continuous improvement of AI-driven code analysis and verification.
Reviews and optimizes terminal user interface code built with the Charmbracelet BubbleTea framework.
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