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Guides engineers through selecting software architecture patterns, structuring projects, and documenting trade-offs via checklists, decision frameworks, and validation steps for system design conversations or new projects.

Automates devcontainer creation with Claude Code plus language-specific tooling for Python, Node/TypeScript, Rust, and Go, layering templates, extensions, and post-create commands so teams can spin up isolated, persistent workspaces quickly.

An expert AI assistant specializing in modern Django 5.x development. It provides best practices, architectural guidance, and actionable steps for building scalable, secure, and highly performant web applications. Expertise covers async views, DRF, Celery, Channels, and comprehensive CI/CD integration. Use this when building enterprise-grade Django systems.

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.

Automates guidance for Docusaurus configuration setup, offering best-practice patterns, production-ready snippets, and validation steps to streamline technical documentation projects.

Guides assistants through DOCX creation, editing, and redlining by describing when to unpack XML, use docx-js for new files, leverage the Document library for edits, and follow tracked-change workflows for reviews, including batching and precise OOXML edits.

Groups existing components into logical business domains, clarifying responsibilities and namespace placements to guide service-based architecture planning and refactor proposals.

Guides dotenv manager tasks within DevOps basics, auto-activating on relevant requests, delivering best-practice workflows, production-ready configs, and validation advice.

Guides AWS users through Elasticache configuration workflows, offering best-practice patterns, production-ready snippets, and validation checks whenever “elasticache config” is mentioned.

Offers an automated Env Secret Detector assistant in the Security Fundamentals domain, providing guidance, patterns, validations, and ready-to-use code for detecting and preventing exposed secrets.

Generates pivot tables and charts from raw data using natural-language prompts, letting you summarize sales, cross-tabulate dimensions, apply filters, and add visuals without manual Excel setup.

This skill provides capabilities for bidirectional audio processing using fal.ai models. It supports Text-to-Speech (TTS), converting written text into natural-sounding speech, and Speech-to-Text (STT), accurately transcribing spoken audio into readable text. Use this skill for applications requiring high-quality audio input analysis or synthetic voice generation, such as virtual assistants, content digitization, or multilingual communication tools.