Agent skill

Gemini Deep Research

by sundial-org in sundial-org/awesome-openclaw-skills

Perform complex, long-running research tasks using Gemini Deep Research Agent.

No licenceAuto-check passedResearch & Science

Install Gemini Deep Research

skills CLI
$ npx skills add sundial-org/awesome-openclaw-skills --skill gemini-deep-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sundial-org/awesome-openclaw-skills gemini-deep-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gemini-deep-research .claude/skills/gemini-deep-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
gemini-deep-research
GitHub stars
663
Token cost
~572 tokens
SKILL.md length
147 words
Files
2 (incl. scripts)
Skills in repo
383
Repo updated
First seen
Licence
None found

At a glance

Perform complex, long-running research tasks using Gemini Deep Research Agent.

  • Works in 4 steps: Breaks down complex queries into… → Searches the web systematically → Synthesizes findings into comprehensive… → …
  • Asked to research topics requiring multi-source synthesis
  • SKILL.md covers Prerequisites, How It Works, Usage and Output, plus 2 more sections
  • Runs Python scripts from its folder; reaches generativelanguage.googleapis.com; needs GEMINI_API_KEY

What it does

Gemini Deep Research is an agent skill from sundial-org/awesome-openclaw-skills. Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.

Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/deep_research.py`).

It sits in Research & Science, covering Deep research, Competitor analysis and Market research. It works with Google Gemini. The repository describes itself as: Top OpenClaw skills, with the most popular and useful ones.

When your agent uses it

  • Asked to research topics requiring multi-source synthesis
  • Competitive analysis
  • Market research
  • Comprehensive technical investigations that benefit from systematic web search and analysis

Example prompts

  • “/gemini-deep-research”

Requirements

  • Python 3
  • A credential in GEMINI_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Breaks down complex queries into sub-questions
  2. Searches the web systematically
  3. Synthesizes findings into comprehensive reports
  4. Provides streaming progress updates

What it can do on your machine

Read from SKILL.md and the folder at commit b80cde2. 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.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • generativelanguage.googleapis.com

    Also links to:

    • 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 572 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 147 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~572

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 passed

The automated check found no risky patterns in SKILL.md.

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.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 147 words (~572 tokens).

“Use Gemini's Deep Research Agent to perform complex, long-running context gathering and synthesis tasks.”

— opening of SKILL.md by sundial-org
name
gemini-deep-research

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in skills/gemini-deep-research of sundial-org/awesome-openclaw-skills.

  • SKILL.md
  • scripts/deep_research.py

Open the folder on GitHubat commit b80cde2

Compare with similar skills

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
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gemini Deep Research this skillsundial-org/awesome-openclaw-skills663—~572Automated safety check: PassNone
Deep Researchsanjay3290/ai-skills4329 repos~683Automated safety check: NotesApache-2.0
Bmad Deep Recondelorenj/mcp-server-trello445—~2.3kAutomated safety check: PassMIT
Gemini Deep ResearchOpenLAIR/dr-claw1.2k—~996Automated safety check: PassMIT
Gemini Deep Researchsickn33/agentic-awesome-skills47k1 repos~1kAutomated safety check: NotesApache-2.0
Consulting Analysisbytedance/deer-flow84k4 repos~8.4kAutomated safety check: PassMIT

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  • Deep Research

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  • Gemini Deep Research

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Works with

Questions about Gemini Deep Research

What does Gemini Deep Research do?

Perform complex, long-running research tasks using Gemini Deep Research Agent. Gemini Deep Research is an agent skill from sundial-org/awesome-openclaw-skills. Perform complex, long-running research tasks using Gemini Deep Research Agent.

When should I use Gemini Deep Research?

Gemini Deep Research fits situations like: asked to research topics requiring multi-source synthesis; competitive analysis; market research; comprehensive technical investigations that benefit from systematic web search and analysis.

How do I install Gemini Deep Research in Claude Code?

Run `npx skills add sundial-org/awesome-openclaw-skills --skill gemini-deep-research -a claude-code`. Or copy the skill folder (skills/gemini-deep-research in sundial-org/awesome-openclaw-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 sundial-org/awesome-openclaw-skills --skill gemini-deep-research -a codex`. Or copy the skill folder (skills/gemini-deep-research in sundial-org/awesome-openclaw-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 sundial-org/awesome-openclaw-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 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 2 domains. In commands or code: generativelanguage.googleapis.com; the agent is likely to contact it when it follows the instructions. 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 no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. 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?

No licence was found for Gemini Deep Research or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Gemini Deep Research use?

About 572 tokens (SKILL.md is roughly 2.3k 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, 432 stars), Bmad Deep Recon (delorenj/mcp-server-trello, 445 stars), Gemini Deep Research (OpenLAIR/dr-claw, 1.2k stars) and Gemini Deep Research (sickn33/agentic-awesome-skills, 47k 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?

sundial-org (a GitHub organization) maintains it in sundial-org/awesome-openclaw-skills, which has 663 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on March 7, 2026.

Source: sundial-org/awesome-openclaw-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.