Run autonomous multi-step research with Google's Gemini Deep Research Agent: kick off a query, poll progress, and collect a cited report for market analysis or literature reviews.
Install the "gemini-deep-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gemini-deep-research into .claude/skills/gemini-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-research", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill gemini-deep-research -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "gemini-deep-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gemini-deep-research into .agents/skills/gemini-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-research", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill gemini-deep-research -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "gemini-deep-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gemini-deep-research into .cursor/skills/gemini-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-research", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill gemini-deep-research -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "gemini-deep-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gemini-deep-research into .gemini/skills/gemini-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-research", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill gemini-deep-research -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "gemini-deep-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gemini-deep-research into .github/skills/gemini-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-research", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill gemini-deep-research -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "gemini-deep-research" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gemini-deep-research into .opencode/skills/gemini-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-deep-research", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
Skill name
gemini-deep-research
GitHub stars
47k
Used in
1 other repo
Token cost
~1k tokens
SKILL.md length
382 words
Files
4 (incl. scripts)
Skills in repo
1,493
Repo updated
First seen
Licence
Apache-2.0
At a glance
Run autonomous multi-step research with Google's Gemini Deep Research Agent: kick off a query, poll progress, and collect a cited report for market analysis or literature reviews.
Works in 2 steps: Get a Gemini API key from Google AI Studio → Set the environment variable
Tasks that involve Deep research
SKILL.md covers When to Use, Requirements, Setup and Safety Gate, plus 7 more sections
Runs Python scripts from its folder; calls python3 and pip; needs GEMINI_API_KEY
What it does
Gemini Deep Research is an agent skill from sickn33/agentic-awesome-skills. Run autonomous multi-step research with Google's Gemini Deep Research Agent: kick off a query, poll progress, and collect a cited report for market analysis or literature reviews.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `README.md` and `scripts/research.py`).
It sits in Research & Science, covering Deep research, Market research and Literature review. It works with Google Gemini. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is Apache-2.0.
When your agent uses it
Tasks that involve Deep research
Tasks that involve Market research
Tasks that involve Literature review
Example prompts
“/gemini-deep-research”
Requirements
Python 3
A credential in GEMINI_API_KEY
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
1Get a Gemini API key from Google AI Studio
2Set the environment variable
What it can do on your machine
Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
aistudio.google.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GEMINI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Gemini Deep Research loads about 1k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 382 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~50
When it runs· the whole SKILL.md, loaded when a task matches
~1k
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
NoteMentions a .env fileSKILL.md:40
Or create a `.env` file in the skill directory.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
Download SKILL.mdSave it as .claude/skills/gemini-deep-research/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
gemini-deep-research
description
Run autonomous multi-step research with Google's Gemini Deep Research Agent: kick off a query, poll progress, and collect a cited report for market analysis or literature reviews.
Before starting a research job, show the user the exact query, the fact that it will be sent
to Google's Gemini service, the expected cost range, and the output destination. Start a job
only after explicit approval. Do not include private workspace material, credentials, personal
data, or confidential customer information in a query.
Usage
Start a research task
bash
python3 scripts/research.py --query "Research the history of Kubernetes"
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Gemini Deep Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
Gemini Deep Research compared with similar skills
Skill
Stars
Used in
Tokens
Auto-check
Licence
Repo updated
Gemini Deep Research this skillsickn33/agentic-awesome-skills
Decision-grade research, three ways: draft a deep-research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), process a finished research report — file it, distill…
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Run autonomous multi-step research with Google's Gemini Deep Research Agent: kick off a query, poll progress, and collect a cited report for market analysis or literature reviews. Gemini Deep Research is an agent skill from sickn33/agentic-awesome-skills. Run autonomous multi-step research with Google's Gemini Deep Research Agent: kick off a query, poll progress, and collect a cited report for market analysis or literature reviews.
When should I use Gemini Deep Research?
Gemini Deep Research fits situations like: tasks that involve Deep research; tasks that involve Market research; tasks that involve Literature review.
How do I install Gemini Deep Research in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill gemini-deep-research -a claude-code`. Or copy the skill folder (skills/gemini-deep-research in sickn33/agentic-awesome-skills) into .claude/skills/gemini-deep-research in your project. Claude Code loads it when a task matches its description.
How do I install Gemini Deep Research in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill gemini-deep-research -a codex`. Or copy the skill folder (skills/gemini-deep-research in sickn33/agentic-awesome-skills) into .agents/skills/gemini-deep-research in your project. Codex loads it when a task matches its description.
Can I use Gemini Deep Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill gemini-deep-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gemini-deep-research, .gemini/skills/gemini-deep-research, .github/skills/gemini-deep-research and .opencode/skills/gemini-deep-research in your project.
What does Gemini Deep Research need to run?
Going by SKILL.md and its folder, Gemini Deep Research needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and pip) and credentials named GEMINI_API_KEY. Our summary lists: Python 3; A credential in GEMINI_API_KEY.
Does Gemini Deep Research access the network?
SKILL.md names 1 domain. As links in the text: aistudio.google.com. This is read from the text; nothing was executed.
Is Gemini Deep Research safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Gemini Deep Research use?
Gemini Deep Research is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Gemini Deep Research use?
About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Gemini Deep Research?
Skills that share tags, products or a category with Gemini Deep Research: Deep Research (sanjay3290/ai-skills, 431 stars), Gemini Deep Research (OpenLAIR/dr-claw, 1.2k stars), Bmad Deep Recon (delorenj/mcp-server-trello, 445 stars) and Gemini Deep Research (sundial-org/awesome-openclaw-skills, 663 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Gemini Deep Research?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.
