Deep Research
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
Perform complex, long-running research tasks using Gemini Deep Research Agent.
$ npx skills add sundial-org/awesome-openclaw-skills --skill gemini-deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills gemini-deep-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "gemini-deep-research" agent skill from https://github.com/sundial-org/awesome-openclaw-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.
$skill-installer install https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/gemini-deep-researchType 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.
$ npx skills add sundial-org/awesome-openclaw-skills --skill gemini-deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills gemini-deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/gemini-deep-research .agents/skills/gemini-deep-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gemini-deep-research" agent skill from https://github.com/sundial-org/awesome-openclaw-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.
$ npx skills add sundial-org/awesome-openclaw-skills --skill gemini-deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills gemini-deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/gemini-deep-research .cursor/skills/gemini-deep-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gemini-deep-research" agent skill from https://github.com/sundial-org/awesome-openclaw-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.
$ gemini skills install https://github.com/sundial-org/awesome-openclaw-skills.git --path skills/gemini-deep-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sundial-org/awesome-openclaw-skills --skill gemini-deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills gemini-deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/gemini-deep-research .gemini/skills/gemini-deep-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gemini-deep-research" agent skill from https://github.com/sundial-org/awesome-openclaw-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.
$ gh skill install sundial-org/awesome-openclaw-skills gemini-deep-researchInstalls 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).
$ npx skills add sundial-org/awesome-openclaw-skills --skill gemini-deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/gemini-deep-research .github/skills/gemini-deep-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gemini-deep-research" agent skill from https://github.com/sundial-org/awesome-openclaw-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.
$ npx skills add sundial-org/awesome-openclaw-skills --skill gemini-deep-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills gemini-deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/gemini-deep-research .opencode/skills/gemini-deep-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gemini-deep-research" agent skill from https://github.com/sundial-org/awesome-openclaw-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.
gemini-deep-researchPerform 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. 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.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b80cde2. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
generativelanguage.googleapis.comAlso links to:
aistudio.google.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GEMINI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.”
SKILL.md and 1 other file (scripts) in skills/gemini-deep-research of sundial-org/awesome-openclaw-skills.
Open the folder on GitHubat commit b80cde2
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Gemini Deep Research this skillsundial-org/awesome-openclaw-skills | 663 | — | ~572 | Automated safety check: Pass | None | |
| Deep Researchsanjay3290/ai-skills | 432 | 9 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| Bmad Deep Recondelorenj/mcp-server-trello | 445 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Gemini Deep ResearchOpenLAIR/dr-claw | 1.2k | — | ~996 | Automated safety check: Pass | MIT | |
| Gemini Deep Researchsickn33/agentic-awesome-skills | 47k | 1 repos | ~1k | Automated safety check: Notes | Apache-2.0 | |
| Consulting Analysisbytedance/deer-flow | 84k | 4 repos | ~8.4k | Automated safety check: Pass | MIT |
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
delorenj/mcp-server-trello
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…
OpenLAIR/dr-claw
Runs multi-source web research through Google's Gemini Deep Research Agent with a bundled Python script and saves a structured, cited report as files.
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.
bytedance/deer-flow
A skill your agent uses when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial…
KaimingWan/oh-my-kiro
Multi-level research: built-in knowledge → web search → Tavily deep research API.
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Works with
Categories
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.
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.
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.
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.
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.
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.
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.
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.
No licence was found for Gemini Deep Research or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
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.
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.
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.