Install the "deep-research" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/deep-research into .claude/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 sanjay3290/ai-skills --skill deep-research -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "deep-research" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/deep-research into .agents/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 sanjay3290/ai-skills --skill deep-research -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "deep-research" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/deep-research into .cursor/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 sanjay3290/ai-skills --skill deep-research -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "deep-research" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/deep-research into .gemini/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 sanjay3290/ai-skills --skill deep-research -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "deep-research" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/deep-research into .github/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 sanjay3290/ai-skills --skill 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 "deep-research" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/deep-research into .opencode/skills/deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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
deep-research
GitHub stars
431
Used in
9 other repos
Token cost
~683 tokens
SKILL.md length
197 words
Files
6 (incl. scripts)
Skills in repo
24
Repo updated
First seen
Licence
Apache-2.0
At a glance
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
Works in 2 steps: Get a Gemini API key from Google AI Studio → Set the environment variable
: market analysis
SKILL.md covers Requirements, Setup, Usage and Output Formats, plus 4 more sections
Runs Python scripts from its folder; calls python3 and pip; needs GEMINI_API_KEY
What it does
Deep Research is an agent skill from sanjay3290/ai-skills. 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 minutes but produces detailed, cited reports. Costs $2-5 per task.
Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 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: 24 cross-platform agent skills for Claude Code, Cursor, Codex & Gemini CLI — databases, messaging, research, TTS, DevOps, and Google Workspace. The licence is Apache-2.0.
When your agent uses it
: market analysis
Competitive landscaping
Literature reviews
Technical research
Example prompts
“/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 281d88d. 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
Deep Research loads about 683 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 197 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~69
When it runs· the whole SKILL.md, loaded when a task matches
~683
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:27
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/deep-research/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
deep-research
description
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 minutes but produces detailed, cited reports. Costs $2-5 per task.
license
Apache-2.0
metadata.author
sanjay3290
metadata.version
1.0
Gemini Deep Research Skill
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
We found 19 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 9 other GitHub owners. This page covers the copy in sanjay3290/ai-skills, which our catalogue first saw on October 7, 2026.
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.
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.
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…
Deep web-research methodology for the interceptor browser surface — investigate a topic the way researchers, intelligence analysts, investigative journalists, private investigators, and OSINT…
Send and receive WhatsApp messages via the unofficial linked-device client pywhats (pip install pywhats) — pair with QR, send text/images, group chat, read receipts, presence/typing, and a…
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Deep Research is an agent skill from sanjay3290/ai-skills. Execute autonomous multi-step research using Google Gemini Deep Research Agent.
When should I use Deep Research?
Deep Research fits situations like: : market analysis; competitive landscaping; literature reviews; technical research.
How do I install Deep Research in Claude Code?
Run `npx skills add sanjay3290/ai-skills --skill deep-research -a claude-code`. Or copy the skill folder (skills/deep-research in sanjay3290/ai-skills) into .claude/skills/deep-research in your project. Claude Code loads it when a task matches its description.
How do I install Deep Research in Codex?
Run `npx skills add sanjay3290/ai-skills --skill deep-research -a codex`. Or copy the skill folder (skills/deep-research in sanjay3290/ai-skills) into .agents/skills/deep-research in your project. Codex loads it when a task matches its description.
Can I use 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 sanjay3290/ai-skills --skill 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/deep-research, .gemini/skills/deep-research, .github/skills/deep-research and .opencode/skills/deep-research in your project.
What does Deep Research need to run?
Going by SKILL.md and its folder, 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 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 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 Deep Research use?
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 Deep Research use?
About 683 tokens (SKILL.md is roughly 2.7k 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 Deep Research?
Skills that share tags, products or a category with Deep Research: Gemini Deep Research (OpenLAIR/dr-claw, 1.2k stars), Gemini Deep Research (sickn33/agentic-awesome-skills, 47k stars), Bmad Deep Recon (delorenj/mcp-server-trello, 445 stars) and Interceptor Research (Hacker-Valley-Media/Interceptor, 519 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research?
sanjay3290 (a GitHub user) maintains it in sanjay3290/ai-skills, which has 431 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on September 10, 2026.
Source: sanjay3290/ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
