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V0 Automation with Rube

ComposioHQ/awesome-claude-skills

Step-by-step guidance for automating V0 operations through Composio’s Rube MCP, stressing up-front `RUBE_SEARCH_TOOLS` discovery, connection checks, schema compliance, and multi-tool execution with proper session reuse.

VastAI Troubleshooting and Error Guide

vastai-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for diagnosing and resolving common errors encountered when utilizing the Vast.ai platform. It provides quick references and fixes for HTTP status codes (e.g., 401, 429), instance lifecycle issues, CLI command failures, Docker image loading problems, SSH connectivity errors, and CUDA memory issues. Essential for maximizing GPU rental efficiency and debugging cloud instances.

Vector Index Performance Tuning Guide

vector-index-tuning

sickn33/antigravity-awesome-skills

This comprehensive guide outlines best practices for optimizing vector indexes for production systems. It covers critical techniques such as tuning HNSW parameters, implementing quantization strategies, and optimizing memory usage. Use this when you need to balance search latency, recall, and scalability for large-scale vector databases.

Veriphone Automation via Rube

veriphone-automation

ComposioHQ/awesome-claude-skills

Automates Composio Veriphone operations through Rube MCP, guiding setup, tool discovery, connection validation, and multi-tool execution while enforcing schema-first searches, session reuse, and mandatory memory payloads.

Wakatime Rube Automation

wakatime-automation

ComposioHQ/awesome-claude-skills

Automates Wakatime operations through the Composio toolkit using Rube MCP, covering discovery of tool schemas, connection validation, and command execution with memory/session best practices for reliable workflows.

Advanced Context Management For Codebases

windsurf-cascade-context

jeremylongshore/claude-code-plugins-plus-skills

This skill provides advanced context management for AI in large-scale, complex codebases. It optimizes context windows, ensures memory persistence across multiple sessions, and helps prioritize critical information. Use it when working with massive code repositories to maintain context and improve developer workflow.

Optimize Windsurf IDE Performance

windsurf-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide offers detailed steps to optimize the Windsurf IDE experience. It addresses common performance bottlenecks such as slow indexing, high memory consumption, and inefficient AI context building (Cascade). Users will learn best practices for configuring exclusion patterns, managing focused workspaces, and tuning IDE settings for maximum development efficiency.

Worksnaps Automation Toolkit

worksnaps-automation

ComposioHQ/awesome-claude-skills

Automate Worksnaps processes through Composio’s Rube MCP by discovering current tool schemas, managing toolkit connections, and executing compliant workflows with memory-aware multi-tool calls.

Zoominfo Automation Toolkit

zoominfo-automation

ComposioHQ/awesome-claude-skills

Automates Zoominfo operations through Composio Rube MCP, guiding discovery, connection checks, and execution patterns with mandatory searches before every tool use.

Zyte API Automation

zyte-api-automation

ComposioHQ/awesome-claude-skills

Guides orchestrating Zyte API actions through the Composio Zyte API toolkit via Rube MCP; emphasizes searching tools first, establishing an active connection, and executing schema-compliant workflows with dedicated session and memory handling.

Resource Detection For Science

get-available-resources

K-Dense-AI/claude-scientific-skills

Detects system CPU, GPU, memory, and disk availability before heavy scientific tasks, writing `.claude_resources.json` with strategic recommendations (parallelism, out-of-core, GPU acceleration) so analysts choose appropriate compute approaches.

Polars Fast DataFrame

K-Dense-AI/claude-scientific-skills

Polars is a blazing fast in-memory DataFrame library based on Apache Arrow that replaces pandas for 1-100GB workloads, offering expression-based lazy execution, parallel operators, and rich I/O for ETL pipelines.

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