Skill UI

Automate Discord workflows through Rube MCP’s Composio toolkits, covering messages, DMs, roles, webhooks, and reactions while respecting permissions and rate limits for reliable bot/user operations.

A specialized guide for building robust and scalable Discord bots from scratch. Covers modern best practices, including the use of slash commands, handling gateway intents, managing rate limits, and implementing sharding. Supports foundational patterns for both Discord.js (JavaScript/TypeScript) and Pycord (Python), ensuring your bot is production-ready and highly stable.

Guides users through business-focused Discord bot generator tasks, offering automation patterns, workflow tips, and production-ready code aligned with best practices for email, spreadsheet, and process optimizations.

Automates Discordbot workflows through Composio’s Rube MCP, guiding you to search tool schemas, verify toolkit connections, and run schema-compliant executions with session reuse and pagination awareness.

Dispatch parallel agents to tackle independent failures concurrently so each investigator stays focused on one domain; review their summaries, check for conflicts, and run the full suite to integrate fixes faster than sequential debugging.

This skill acts as an expert guide for setting up comprehensive debugging environments, implementing distributed tracing solutions, and establishing robust diagnostic workflows. It is ideal for diagnosing complex, multi-service issues in development or production environments by standardizing logging, tracking correlation IDs, and ensuring end-to-end observability.

Orchestrates PyTorch-native TorchTitan 4D parallelism (FSDP2, TP, PP, CP) for large-scale LLM pretraining, scaling from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing to boot Llama 3.1, DeepSeek V3, or custom models.

This skill provides comprehensive guidance on implementing distributed tracing using industry standards like OpenTelemetry and tools such as Jaeger/Tempo. It enables developers to monitor the end-to-end lifecycle of a request across multiple microservices. Use this skill to debug latency issues, visualize complex service dependencies, pinpoint performance bottlenecks, and accurately trace error propagation in highly distributed systems.

Guides automated distributed training setups with step-by-step practices, production-ready configs, and validation checks for ML training workflows.

This skill provides deep expertise in building robust Django web applications and powerful RESTful APIs using Django REST Framework (DRF). It covers designing optimized Django models with proper indexes, implementing serializers and viewsets, optimizing ORM queries (select_related/prefetch_related), and setting up secure authentication (JWT). Ideal for full-stack backend development tasks requiring production-grade reliability.

Guidelines for building scalable, maintainable Django apps covering REST API design with DRF, ORM best practices, caching, signals, middleware, and deployment-ready project layouts and settings.

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.