Browse skills

Scvi Tools provides streamlined access to SCVI embeddings and related analysis for single-cell data, accelerating research insights.

Gemini Deepresearch — provides AI agent assistance for software development workflows.

Geo Prompt Researcher — provides AI agent assistance for software development workflows.

This skill leverages Gemini to perform web searches and summarize findings directly within your workflow, boosting research efficiency.

This skill extracts key information from Wikipedia articles using LLMs for quick summaries and insights – a valuable research tool.

Automates web research tasks, extracting data and insights from online sources based on provided queries.

Provides LLMs guidance and assistance for building AI and machine learning applications.

Claude Browser allows you to seamlessly access and integrate web content into your Claude conversations, boosting research & creative output.

Leverages Anthropic's Claude models to provide expert-level research, analysis, and concise summaries on diverse topics.

Ralph Prompt Research — provides AI agent assistance for software development workflows.

Rag Architect constructs well-structured documents from retrieved knowledge, streamlining information synthesis and boosting research efficiency.

This GPT Researcher swiftly gathers information from the web, providing concise summaries and insights for faster research and decision-making.

Leverages PyTorch for deep learning model development and experimentation, accelerating AI research and custom solution creation.

Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 min

Leverage OpenAI's power to conduct in-depth research, synthesize findings, and generate comprehensive reports on complex topics.

Async deep research via Gemini Interactions API. RAG-ground queries on local files, preview costs with --dry-run, get structured JSON output. Universal skill for 30+ AI agents.

Parallel autonomous ML research agents with a Director, git worktrees for per-agent experiment branches, a Skills library for validated technique reuse, a Synthesizer that distills collective knowledge overnight, and circadian rhythm (leisure 03:00–06:00 for paper reading and creative thinking). Uses OpenClaw sessions_spawn, cron, and steer natively. Use when: (1) start or run ML research agents overnight, (2) check agent status or experiment results, (3) view leaderboard or morning digest, (4) steer or stop agents, (5) ask what agents discovered or are exploring, (6) set up Litmus for the first time. NOT for: general coding, non-ML tasks, or machines without a GPU.