gemini-search

Search research papers via Gemini for broad literature discovery. Use when user says "gemini search", "gemini papers", "search with gemini", or wants AI-powered literature discovery beyond arXiv/Semantic Scholar indexes.

by wanshuiyin 15k GitHub stars MIT Updated Aug 18, 2026
gemini-search skill by wanshuiyin
gemini-search — Productivity skill by wanshuiyin

Overview

gemini-search is an open-source productivity skill for Claude Code and compatible agents, published by wanshuiyin. Its author describes it as: “Search research papers via Gemini for broad literature discovery. Use when user says "gemini search", "gemini papers", "search with gemini", or wants AI-powered literature discovery beyond arXiv/Semantic Scholar indexes.”. The project has 15k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/gemini-search`.

What gemini-search does

Search query: $ARGUMENTS

What’s inside

The SKILL.md for gemini-search is organised into these sections:

  • Role & Positioning
  • Constants
  • Environment & Setup
  • Prerequisites
  • MCP Configuration
  • Authentication
  • Available MCP Tools
  • Verify Setup
  • Workflow
  • Step 1: Parse Arguments
  • Step 2: Execute Search (MCP Priority)
  • Step 3: Parse Results

Installation

Add gemini-search to your agent with:

git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/gemini-search

Review a skill’s source before installing it — skills can instruct your agent to run commands. This command comes from the skill’s public repository, which is the source of truth for setup steps. New to skills? Read how to install Claude Code skills.

Supported agents

  • Claude Code — declared in the repository topics
  • Codex — declared in the repository topics

License

gemini-search is published under the MIT license.

Strengths

  • Clear MIT license — safe to read and adapt within its terms
  • Ships in wanshuiyin/Auto-claude-code-research-in-sleep, an established project with 14,858 GitHub stars
  • Works with Claude Code, Codex
  • Actively maintained — repository updated in the last 90 days

Author

wanshuiyin 41 skills in the catalog · GitHub profile ↗
View skills

Topics

Need a skill like this, tailored to your team?Build a custom skill →

Frequently asked questions

What does gemini-search do?
Search research papers via Gemini for broad literature discovery. Use when user says "gemini search", "gemini papers", "search with gemini", or wants AI-powered literature discovery beyond arXiv/Semantic Scholar indexes.
How do I install gemini-search?
Run git clone https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep ~/.claude/skills/gemini-search in your agent, then reload your skills. Review the source at https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep before installing.
Is gemini-search free to use?
Yes. gemini-search is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
Which agents does gemini-search work with?
gemini-search lists Claude Code and Codex — named in its SKILL.md, its plugin marketplace or its repository topics. Skills use the portable SKILL.md format, so other agents that read that format may load it too.
Where does gemini-search come from?
gemini-search ships inside wanshuiyin/Auto-claude-code-research-in-sleep, a repository that contains 41 catalogued skills in total. The repository's 14,858 GitHub stars apply to that whole collection, not to this skill on its own.

Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.

Claude CodeCodex
15k GitHub stars MIT Updated Aug 18, 2026 Free

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.

Claude CodeCodex
12k GitHub stars MIT Updated Jun 16, 2026 Free

Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction layers.

Claude CodeCodex
12k GitHub stars MIT Updated Jun 16, 2026 Free

State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.

Claude CodeCodex
12k GitHub stars MIT Updated Jun 16, 2026 Free

Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).

Claude CodeCodex
12k GitHub stars MIT Updated Jun 16, 2026 Free