Skill UI

Automates Precoro operations via Composio’s Rube MCP workflow: always search tools first, manage the Precoro connection, then execute schema-driven calls (with memory/session handling and pagination) through multi-tool executions.

Automate Procfu operations through Composio’s Rube MCP by always discovering the latest tool schemas, managing the Procfu connection, and executing workflows with the recommended arguments, sessions, and memory handling.

Profiles application performance by analyzing CPU usage, memory allocation, and execution time with the application-profiler plugin, then identifies bottlenecks and suggests code-level optimizations for faster execution.

Automates Proxiedmail operations through Composio’s Rube MCP by discovering current tool schemas, verifying active connections, and running indexed execute calls with memory/session management so workflows stay schema-compliant.

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.

Quantizes HuggingFace LLMs to 8-bit or 4-bit with bitsandbytes, cutting memory by up to 75% while keeping accuracy, and supports QLoRA fine-tuning plus 8-bit optimizers for faster, memory-efficient training.

A senior specialist for building modern, production-grade React applications using React 19, Server Components, and Next.js App Router. Expertise includes implementing complex state management (Redux, Zustand), optimizing performance with memoization, handling data fetching with TanStack Query, and ensuring strict TypeScript typing and accessibility standards. Ideal for architecting large-scale frontend systems.

A comprehensive architectural guide for building production-grade flowcharts using ReactFlow. This pattern set covers key challenges including hierarchical tree navigation (expandable/collapsible nodes), performance optimization via incremental rendering and memoization, and advanced state management using Redux-like reducer patterns with history tracking (undo/redo).

Automate Composio’s Remote Retrieval toolkit via Rube MCP by always discovering tool schemas with `RUBE_SEARCH_TOOLS`, ensuring active `remote_retrieval` connections, and executing discovered workflows through `RUBE_MULTI_EXECUTE_TOOL` while honoring schema and memory requirements.

Provides systematic methods for diagnosing complex, intermittent errors in the Replit environment. This guide covers advanced topics like container lifecycle issues, Nix build failures, memory leaks, and deployment crash loops using sophisticated shell scripting and runtime monitoring techniques. Use when standard troubleshooting steps fail to identify the root cause.

This workflow provides comprehensive administrative tools for managing Replit teams and organizational assets. It allows users to manage team members (invite, remove, assign roles), audit user seats, promote deployments from dev to production, configure custom domains, and perform bulk audits on Repls and team activity logs. Ideal for organization owners needing to maintain compliance and optimize team resources.

This comprehensive guide provides methods for implementing deep observability for Replit deployments. It covers building detailed health check endpoints (tracking uptime, memory, and DB status), setting up structured JSON logging, detecting cold start events, and configuring external alerting mechanisms (e.g., UptimeRobot, Slack). Use this when building robust, production-grade applications that require continuous performance monitoring and reliability tracking.