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Rosette Text Analytics Automation

rosette-text-analytics-automation

ComposioHQ/awesome-claude-skills

Automates Rosette Text Analytics actions through Composio’s Rube MCP, guiding users to discover current tool schemas, verify connections, and execute workflows with schema-compliant inputs.

Scrapegraph AI Workflow Automation

scrapegraph-ai-automation

ComposioHQ/awesome-claude-skills

Automates Scrapegraph AI operations through Composio’s Rube MCP, guiding you to discover tools, check active connections, execute schema-compliant workflows, and manage sessions and pagination safely.

Semanticscholar MCP Automation

semanticscholar-automation

ComposioHQ/awesome-claude-skills

Automates Semanticscholar workflows through Composio’s Semanticscholar toolkit via Rube MCP, covering tool discovery, connection verification, session reuse, and schema-compliant multi-tool execution for reliable research automation.

Senior Prompt Engineering Toolkit

senior-prompt-engineer

alirezarezvani/claude-skills

Toolkit for prompt engineering experts to optimize prompts, evaluate LLM outputs, design agentic workflows, assess RAG quality, and curate few-shot examples across evaluation and orchestration tasks.

Serpapi Automation With Rube

serpapi-automation

ComposioHQ/awesome-claude-skills

Orchestrates Serpapi searches through Composio's Rube MCP by discovering current tool schemas, validating the connection, and executing schema-compliant calls with session reuse and explicit memory placeholders to keep automation workflows reliable.

SGLang Structured Inference Service

Orchestra-Research/AI-Research-SKILLs

SGLang is a high-performance serving framework for LLMs and VLMs that uses RadixAttention prefix caching to deliver structured outputs (JSON/regex/grammar) and agentic workflows with function calls, providing up to 5× faster inference than vLLM across multi-GPU production deployments.

Automated Documentation to AI Skills

sickn33/antigravity-awesome-skills

This skill provides an automated solution for transforming diverse, unstructured technical data sources—including documentation websites, GitHub repositories, and PDFs—into structured, actionable 'Claude AI skills.' It significantly streamlines the process of knowledge base creation, data structuring, and preparing large volumes of technical information for advanced AI applications.

Skyfire Automation Guide

skyfire-automation

ComposioHQ/awesome-claude-skills

Documented steps to automate Skyfire operations through Composio’s Rube MCP endpoints, covering tool discovery, connection checks, execution patterns, and schema compliance for reliable workflows.

SLIME RL Training

slime-rl-training

Orchestra-Research/AI-Research-SKILLs

Guides post-training of GLM-class LLMs with Megatron-LM and SGLang, focusing on GRPO rollout generation, custom data buffers, and tight RL scaling workflows for research and production use.

SNS Topic Config

sns-topic-config

jeremylongshore/claude-code-plugins-plus-skills

Automates SNS topic configuration tasks within AWS, offering guidance, best practices, code generation, and validation for compute, storage, networking, and serverless scenarios.

Solana Vulnerability Audit

solana-vulnerability-scanner

trailofbits/skills

Scans Solana and Anchor programs for six critical security vulnerabilities—arbitrary CPI, improper PDA validation, missing signer/ownership checks, sysvar spoofing, and instruction introspection issues—to support audits and pre-launch reviews.

Sparse Autoencoders for Model Interpretability

sparse-autoencoder-training

Orchestra-Research/AI-Research-SKILLs

SAELens provides a framework for training and analyzing Sparse Autoencoders (SAEs). SAEs decompose the dense, often polysemantic activations of large language models into sparse, monosemantic features. Use this when you need to discover the discrete, interpretable concepts a model has learned, study feature superposition, or analyze specific safety-relevant behaviors (like bias or deception) within deep neural networks.

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