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Docsbot AI Automation

docsbot-ai-automation

ComposioHQ/awesome-claude-skills

Automates Docsbot AI workflows through Rube MCP by discovering tools with RUBE_SEARCH_TOOLS, validating the docsbot_ai connection, and driving schema-compliant executions via RUBE_MULTI_EXECUTE_TOOL.

Dreamstudio Automation Guide

dreamstudio-automation

ComposioHQ/awesome-claude-skills

Automates Dreamstudio tasks through Rube MCP and Composio by discovering the latest tool schemas, validating active connections, and driving execution with RUBE_SEARCH_TOOLS, RUBE_MANAGE_CONNECTIONS, and RUBE_MULTI_EXECUTE_TOOL workflows.

Multi-Agent AI Workflow Orchestrator

jeremylongshore/claude-code-plugins-plus-skills

Gastown is a robust multi-agent orchestration system designed for Claude Code. It enables the simultaneous execution of multiple AI agents on complex projects. It manages the entire development lifecycle, from setting up workspaces and tracking work items (beads) to managing agent lifecycles (polecats/crew) and merging final code (Refinery). Use it when coordinating complex, parallel AI tasks.

Gemini Automation Workflow

gemini-automation

ComposioHQ/awesome-claude-skills

Automates Gemini operations by walking through Rube MCP/Composio tool discovery, connection management, and execution steps, ensuring schema-aware usage, memory handling, and session reuse for reliable flows.

Kling AI Pricing and Cost Optimization

klingai-pricing-basics

jeremylongshore/claude-code-plugins-plus-skills

This skill provides a comprehensive guide to the credit-based pricing model of Kling AI. It details costs for video generation (Standard/Professional modes), image creation (Kolors), and API resource packs. Users can utilize this guide to accurately budget, estimate total project costs, and implement cost-saving strategies, ensuring the efficient and economical execution of their AI content generation workflow.

Kontent AI Automation

kontent-ai-automation

ComposioHQ/awesome-claude-skills

Automates Kontent AI workflows via the Rube MCP-powered Composio toolkit, guiding tool discovery, connection checks, and schema-compliant multi-executions for reliable content automation.

Landbot Automation Guide

landbot-automation

ComposioHQ/awesome-claude-skills

Guide for automating Landbot operations through Composio's Rube MCP toolkit, covering tool discovery, connection checks, execution patterns, memory/session handling, and schema compliance.

Langbase Automation Guide

langbase-automation

ComposioHQ/awesome-claude-skills

Automates Langbase operations through the Rube MCP-powered Composio toolkit, guiding connectors, tool discovery, schema validation, and multi-step execution flows while emphasizing session reuse and pagination awareness.

LangChain Webhooks and Event Streaming

langchain-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive skill implements advanced event-driven patterns for LangChain applications. It provides custom callback handlers to observe every stage of chain execution (e.g., tool start/end, LLM token generation). Furthermore, it supports real-time data transmission via Server-Sent Events (SSE) and WebSockets, and integrates webhooks for centralized event logging and comprehensive tracing.

LangSmith Trace Debugger

langsmith-fetch

ComposioHQ/awesome-claude-skills

Fetch execution traces from LangSmith Studio to inspect LangChain/LangGraph agent runs, analyze errors, tool calls, memory usage, and performance, and export sessions for deeper diagnostics using the langsmith-fetch CLI.

Troubleshooting Lindy AI Agent Errors

lindy-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to diagnose and resolve common errors in Lindy AI agent workflows. Covers troubleshooting issues related to trigger failures (webhooks, email, schedule), action execution errors (Slack, Gmail, HTTP requests, code), and advanced agent step logic problems, ensuring reliable automation.

AI Agent Performance Tuning Guide

lindy-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide provides comprehensive strategies for optimizing the execution speed, reliability, and cost efficiency of AI agents. Learn how to minimize latency, right-size models (e.g., Flash vs. Opus), consolidate multiple LLM steps into single prompts, and optimize workflow triggers. Ideal for use when agents are slow, consuming excessive credits, or producing inconsistent results.

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