Skill UI

Automate Mx Toolbox operations through Composio’s Rube MCP by discovering tool schemas, managing the mx_toolbox connection, and issuing RUBE_MULTI_EXECUTE_TOOL calls with session-aware workflows for consistent, schema-compliant execution.

nanoGPT is a simplified, minimalist implementation designed specifically for educational purposes. It reproduces the core architecture of GPT-2 (124M) using clean, hackable code, allowing users to understand the entire transformer pipeline from scratch. The framework supports full workflows, including data preparation on various datasets (e.g., Shakespeare, OpenWebText), model training, and text generation, making it ideal for students and researchers learning NLP and deep learning principles.

Guides researchers through nnsight workflows for probing PyTorch models locally or via NDIF remote nodes, covering activation analysis, patching, and tracing tools for massive GPT/Llama families.

Automate Nocrm IO tasks by querying Composio’s Rube MCP toolkit, always retrieving live schemas before calling execute, managing connections, and reusing sessions for reliable workflows.

Automates oauth callback handler tasks for API integrations, offering best-practice guidance, production-ready code/config, and validation when you mention oauth callbacks, integrations, or request implementation help.

Fine-tune Obsidian resource consumption by auditing vault size, excluding heavy files from sync, caching plugin API calls, selecting the right sync tier, and trimming publish content so you can lower subscription, storage, and third-party costs without hindering note workflows.

Provides structured templates, timing guidance, and checklists for on-call shift transitions so engineers can preserve continuity, document incidents, and verify monitoring before handing off responsibility.

Automates Open Sea operations through Composio’s Open Sea toolkit by orchestrating Rube MCP calls, ensuring tool discovery, connection checks, and schema-compliant executions before running workflows.

Implements a point-of-care OpenEvidence workflow that structures clinical queries, calls the SDK, and integrates results with EHR/CDS hooks to return evidence-based guidance within seconds.

Implements HIPAA-compliant PHI detection, de-identification, encryption, retention, and audit trail logic for OpenEvidence clinical AI integrations to keep patient data safe before every API call.

Automates Openperplex operations by orchestrating Rube MCP calls via Composio, covering discovery, connection validation, tool execution, and schema-aware workflows.

Configures model fallback chains for OpenRouter so LLM applications automatically switch to backup models when primary ones fail, ensuring high availability and monitored performance.