Deep Research Agent Team
Imbad0202/academic-research-skills
Runs a 13-agent pipeline for rigorous academic research, from forming the question through systematic search, synthesis, bias checks and an APA 7.0 report.
Runs multi-source web research with a search plan, targeted extraction and cross-checking, rating confidence by how many sources agree and organizing results by subtopic.
Install Deep Research
$ npx skills add firecrawl/web-agent --skill deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install firecrawl/web-agent 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/firecrawl/web-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent-core/src/skills/definitions/deep-research .claude/skills/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 "deep-research" agent skill from https://github.com/firecrawl/web-agent/tree/main/agent-core/src/skills/definitions/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.
$skill-installer install https://github.com/firecrawl/web-agent/tree/main/agent-core/src/skills/definitions/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 firecrawl/web-agent --skill deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install firecrawl/web-agent deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/firecrawl/web-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent-core/src/skills/definitions/deep-research .agents/skills/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 "deep-research" agent skill from https://github.com/firecrawl/web-agent/tree/main/agent-core/src/skills/definitions/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.
$ npx skills add firecrawl/web-agent --skill deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install firecrawl/web-agent deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/firecrawl/web-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent-core/src/skills/definitions/deep-research .cursor/skills/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 "deep-research" agent skill from https://github.com/firecrawl/web-agent/tree/main/agent-core/src/skills/definitions/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.
$ gemini skills install https://github.com/firecrawl/web-agent.git --path agent-core/src/skills/definitions/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 firecrawl/web-agent --skill deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install firecrawl/web-agent deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/firecrawl/web-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent-core/src/skills/definitions/deep-research .gemini/skills/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 "deep-research" agent skill from https://github.com/firecrawl/web-agent/tree/main/agent-core/src/skills/definitions/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.
$ gh skill install firecrawl/web-agent 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 firecrawl/web-agent --skill deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/firecrawl/web-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent-core/src/skills/definitions/deep-research .github/skills/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 "deep-research" agent skill from https://github.com/firecrawl/web-agent/tree/main/agent-core/src/skills/definitions/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.
$ npx skills add firecrawl/web-agent --skill 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 firecrawl/web-agent deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/firecrawl/web-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent-core/src/skills/definitions/deep-research .opencode/skills/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 "deep-research" agent skill from https://github.com/firecrawl/web-agent/tree/main/agent-core/src/skills/definitions/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
- 1.2k
- Token cost
- ~278 tokens
- SKILL.md length
- 118 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- MIT
At a glance
Runs multi-source web research with a search plan, targeted extraction and cross-checking, rating confidence by how many sources agree and organizing results by subtopic.
- Researching a topic that needs three or more independent sources
- SKILL.md covers Search Strategy, Extraction, Fact-Checking and Output
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Fact-checking claims by cross-referencing several sources
What it does
The skill lays out a research routine. The topic is broken into three to five distinct angles, each searched with a few queries in different terminology, including site-specific searches and official, comparison and review-oriented queries, aiming for roughly five to ten unique, high-quality sources.
Each source is scraped with a targeted query so full pages do not flood the context, and the agent extracts key claims, data points, dates and attributed quotes while recording the author, publication, date and URL. Claims are cross-referenced across at least two sources, single-source claims are flagged, and confidence is high when three or more sources agree, medium with two and low with one or conflicting reports. Contrarian viewpoints are included to avoid confirmation bias.
Output is organized by subtopic rather than by source, with an inline citation for every claim, and the structured data is passed to a formatOutput call. The description says to use it for any research task that needs three or more sources.
When your agent uses it
- Researching a topic that needs three or more independent sources
- Fact-checking claims by cross-referencing several sources
- Producing a cited research summary organized by subtopic
Example prompts
- “Research the current state of solid-state batteries using at least three sources and cite each claim.”
- “Fact-check these claims about remote work productivity across multiple sources.”
- “Compare the leading open-source vector databases, with confidence ratings for each finding.”
Requirements
- Web search and page scraping tools
- A formatOutput tool for the final structured result
What it can do on your machine
Read from SKILL.md and the folder at commit f023adf. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Deep Research loads about 278 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 118 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.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from firecrawl/web-agent at commit f023adf, republished under its MIT licence (© firecrawl). 118 words, ~278 tokens.
Download SKILL.mdSave it as
.claude/skills/deep-research/SKILL.md (or your agent's skills folder).- name
- deep-research
- description
- Multi-source research with source triangulation and fact-checking. Use for any research task requiring 3+ sources.
- category
- Research
Deep Research
Search Strategy
- Break the topic into 3-5 distinct angles
- 2-3 queries per angle using different terminology
- Use
site:operator for targeted searches (e.g.site:arxiv.org,site:github.com) - Include official, comparison, and review-oriented queries
- Aim for 5-10 unique, high-quality sources
Extraction
- Scrape each source with a targeted query parameter -- don't dump full pages into context
- Extract: key claims, data points, dates, attributed quotes
- Record author, publication, date, and URL for every source
Fact-Checking
- Cross-reference claims across 2+ sources
- Flag single-source claims explicitly
- Assign confidence: high (3+ sources agree), medium (2), low (1 or conflicting)
- Include contrarian viewpoints -- don't confirmation-bias the results
Output
- Structure by subtopic, not by source
- Inline citations for every claim
- Call formatOutput with the structured data
© firecrawl, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in agent-core/src/skills/definitions/deep-research of firecrawl/web-agent.
Open the folder on GitHubat commit f023adf
Compare with similar skills
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 |
|---|---|---|---|---|---|---|
| Deep Research this skillfirecrawl/web-agent | 1.2k | — | ~278 | Automated safety check: Pass | MIT | |
| Deep Research Agent TeamImbad0202/academic-research-skills | 51k | — | ~13k | Automated safety check: Pass | Custom licence | |
| Workflow PatternsQuintinShaw/pi-dynamic-workflows | 554 | — | ~827 | Automated safety check: Pass | MIT | |
| Net Deep Researchh4444433333/net-deep-research | 123 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Architect ResearchDanMcInerney/architect-loop | 626 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Ray Trend Searchimraywang/rayskills | 160 | — | ~2.1k | Automated safety check: Pass | Custom licence |
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QuintinShaw/pi-dynamic-workflows
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Net Deep Research
h4444433333/net-deep-research
Runs cross-source web research to verify whether an online claim is true, distinguishing confirmed facts from rumor, marketing claims or stale information.
Architect Research
DanMcInerney/architect-loop
A skill your agent uses when the user asks for discovery-scale research that informs a decision: brainstorming a project or feature, choosing a technology, or requests like "research X", "what's the…
Ray Trend Search
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Researches what people are saying about a topic over a recent window across X, Reddit, YouTube and the public web, reporting each source's status with links.
Argo Search and Verification
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Unified web search, page fetching and evidence checking across hundreds of sources, with result verification, a research-dossier mode and vertical search engines.
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Related
Categories
Questions about Deep Research
What does Deep Research do?
Runs multi-source web research with a search plan, targeted extraction and cross-checking, rating confidence by how many sources agree and organizing results by subtopic. The skill lays out a research routine. The topic is broken into three to five distinct angles, each searched with a few queries in different terminology, including site-specific searches and official, comparison and review-oriented queries, aiming for roughly five to ten unique, high-quality sources.
When should I use Deep Research?
Deep Research fits situations like: researching a topic that needs three or more independent sources; fact-checking claims by cross-referencing several sources; producing a cited research summary organized by subtopic.
How do I install Deep Research in Claude Code?
Run `npx skills add firecrawl/web-agent --skill deep-research -a claude-code`. Or copy the skill folder (agent-core/src/skills/definitions/deep-research in firecrawl/web-agent) 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 firecrawl/web-agent --skill deep-research -a codex`. Or copy the skill folder (agent-core/src/skills/definitions/deep-research in firecrawl/web-agent) 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 firecrawl/web-agent --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?
SKILL.md names no scripts, command-line tools or credentials: Deep Research is instructions for the agent only. Our summary lists: Web search and page scraping tools; A formatOutput tool for the final structured result.
Does Deep Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is 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. Review the folder before installing.
What licence does Deep Research use?
Deep Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Deep Research use?
About 278 tokens (SKILL.md is roughly 1.1k 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: Deep Research Agent Team (Imbad0202/academic-research-skills, 51k stars), Workflow Patterns (QuintinShaw/pi-dynamic-workflows, 554 stars), Net Deep Research (h4444433333/net-deep-research, 123 stars) and Architect Research (DanMcInerney/architect-loop, 626 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research?
firecrawl (a GitHub organization) maintains it in firecrawl/web-agent, which has 1,240 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on April 19, 2026.
Source: firecrawl/web-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.