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Found 53 Skills
Provision and enable a Unified Employee License (UEL) user in Salesforce with the full entity chain — User, Person Account, PersonContact, and Employee2 — through the Salesforce-hosted headless-360 MCP server. Use when the user asks to create a UEL user, set up a Unified Employee user account, enable an employee under the Unified Employee license, provision an employee with Person Account and Employee2 record, or onboard a new employee onto the Unified Employee profile. Triggers on: create UEL user, set up unified employee, provision unified employee, enable UEL employee, onboard employee user, create person account for employee. DO NOT TRIGGER when: the user asks to create a standard user without UEL, clone an existing user, manage existing user permissions only, assign incident permissions only, reset passwords only, or look up existing users without creation intent.
Automate Freshservice ITSM tasks via Rube MCP (Composio): create/update tickets, bulk operations, service requests, and outbound emails. Always search tools first for current schemas.
YQCloud custom Function Calling format specification, designed for ITSM ticket scenarios. It covers the calling specifications and typical processes of four functions: createTicket, getCreateTicketParamJsonSchema, getAllServiceItem, and requestUserSelectServiceItem.
AWS S3 object storage for bucket management, object operations, and access control. Use when creating buckets, uploading files, configuring lifecycle policies, setting up static websites, managing permissions, or implementing cross-region replication.
Running and fine-tuning LLMs on Apple Silicon with MLX. Use when working with models locally on Mac, converting Hugging Face models to MLX format, fine-tuning with LoRA/QLoRA on Apple Silicon, or serving models via HTTP API.
AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.
AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.
Strategies for managing LLM context windows effectively in AI agents. Use when building agents that handle long conversations, multi-step tasks, tool orchestration, or need to maintain coherence across extended interactions.
Building and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data pipelines, model optimization with torch.compile, distributed training, or deploying PyTorch models.
Crafting effective prompts for LLMs. Use when designing prompts, improving output quality, structuring complex instructions, or debugging poor model responses.
AWS RDS relational database service for managed databases. Use when provisioning databases, configuring backups, managing replicas, troubleshooting connectivity, or optimizing performance.
AWS Cognito user authentication and authorization service. Use when setting up user pools, configuring identity pools, implementing OAuth flows, managing user attributes, or integrating with social identity providers.