Skill UI

Automate headless CMS operations in Prismic via Claude Code, letting you query documents, search text, inspect custom types, and manage refs through the Composio integration for scripted content workflows.

Provides automated guidance and production-ready code for property-based test helper tasks, covering unit, integration, and mocking scenarios within Test Automation workflows.

This skill auto-activates when someone mentions pytest test generator, offering guided test automation workflows, producing ready-to-use code/configuration, and validating outputs for unit, integration, and mocking scenarios.

Showcases modern Python practices, covering strict 3.12 type hints, dataclasses vs Pydantic decisions, asyncio/httpx patterns, src-layout projects, pyproject tool configs, virtual env workflows, and pytest guidance for reliable codebases.

A comprehensive guide for profiling, analyzing, and optimizing Python code. It addresses identifying performance bottlenecks related to CPU usage, excessive memory consumption, I/O operations, and slow data processing. Use this skill to improve application speed and efficiency in production environments.

A comprehensive skill set for building robust, type-safe, and highly performant Python 3.11+ applications. This specialist enforces best practices by generating type-annotated code, utilizing async/await patterns, structured dataclasses, and comprehensive error handling. The workflow mandates rigorous validation using tools like mypy (strict mode), black, ruff, and extensive pytest test suites to ensure code quality and reliability.

Auto Readme Generator offers guided documentation workflows for DevOps basics, triggering whenever "readme generator" is mentioned, and delivering best-practice code, configurations, and validations to support version control, containerization, and CI/CD.

Automates redis cache manager workflows by recommending backend patterns, generating production-ready code, and validating configurations for node.js, python, go, and microservice architectures.

Guides API developers through building request body validators, following best practices for REST, GraphQL, and OpenAPI workflows, and generating production-ready code plus validations.

Automates request interceptor creation for API integration workflows, offering best-practice guidance, production-ready code, and validation when dealing with third-party APIs, webhooks, SDKs, and OAuth scenarios.

This workflow guides developers through the systematic process of requesting and acting upon code reviews. It emphasizes the core principle of reviewing early and often, providing structured inputs (commits, requirements, implemented features) via a subagent to catch technical issues, ensure compliance with requirements, and maintain high code quality before merging.

Automates guidance for AWS Route53 record tasks by offering best-practice patterns, code snippets, configuration checks, and validation to help operators manage DNS records, routing policies, and automation workflows.