Skill UI

Implements multi-tier database caching using Redis, in-memory stores, and CDN integration to reduce load, lower query latency, and support scalable cache-aside, write-through, or read-through workflows when users ask for caching optimizations.

Automates Intelliprint operations through Composio’s Rube MCP, guiding connection setup via RUBE_MANAGE_CONNECTIONS, tool discovery with RUBE_SEARCH_TOOLS, and reliable execution through RUBE_MULTI_EXECUTE_TOOL while enforcing schema compliance, memory, and session reuse.

Drive Kadoa tasks via Composio’s Rube MCP by fetching current tool schemas, ensuring active toolkit connections, and running schema-compliant tools with shared sessions and always-included memory.

Guides operators how to automate Kickbox tasks using Composio’s Rube MCP interface, emphasizing always discovering current schemas via RUBE_SEARCH_TOOLS, confirming Kickbox connections, and invoking multi-tool execution with schema-compliant arguments plus session/memory handling.

This skill provides comprehensive management for team access to AI APIs, ensuring security and accountability. It allows setting up role-based access control (admin, editor, viewer), implementing per-member and total team usage quotas, and managing separate API keys across Development, Staging, and Production environments. Ideal for scaling AI usage in enterprise settings.

LangChain accelerates building LLM-powered agents, RAG pipelines, and chatbots by orchestrating models, chains, tools, memory, and vector stores across major providers for rapid prototyping or production deployment.

This guide provides comprehensive techniques to optimize LangChain applications for production environments. Learn how to measure baseline latency, implement efficient caching strategies (in-memory, Redis, SQLite), utilize batch processing with concurrency control, and maximize perceived speed through streaming. Furthermore, it covers prompt optimization and strategic model selection to ensure high throughput and low costs.

This comprehensive guide details how to safely upgrade LangChain versions (e.g., from 0.1.x to 0.3.x+). It covers critical breaking changes across both TypeScript and Python implementations, including updating import paths, converting legacy LLMChain to the modern LCEL pipe syntax, updating agent creation, and migrating memory management. Essential for maintaining and modernizing existing LLM applications.

Guide to automating Linkhut operations through Composio’s toolkit via Rube MCP, covering discovery of current tool schemas, connection validation, multi-tool execution patterns, memory/session handling, and pagination-aware workflows.

Automate Linkup operations through Composio's Linkup toolkit by orchestrating Rube MCP calls (search tools, manage connections, execute multi-tool workflows) while strictly following schema discovery, connection validation, memory handling, and pagination guidance.

A systematic, multi-phase workflow designed for diagnosing and resolving complex Linux system issues. It guides users through initial assessment, resource analysis (CPU, memory, disk), process investigation, log analysis, network diagnostics, and service failure resolution. Ideal for system administrators and DevOps engineers handling production incidents.

A comprehensive deep dive guide for migrating translation memory (TM) and localization content from competing Translation Management Systems (TMS) like Crowdin, Phrase, or POEditor into Lokalise. This process involves exporting data from the source platform, transforming key variables and file structures to match Lokalise conventions, and finally performing a bulk API upload to establish a new, centralized localization repository. Perfect for re-platforming or migrating existing translation pipelines.