browseros-ai/browseros-agent/deep-research
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Research a topic across multiple sources using parallel tabs, save raw content and findings to files, then produce an HTML report and PDF. Use when the user asks to research, investigate, or gather information on a topic.
Install
npx vskill@latest install browseros-ai/browseros-agent/deep-researchSKILL.md
Deep Research
End-to-end research workflow that searches the web in parallel tabs, persists raw content and notes to disk as it goes (instead of holding everything in memory), synthesizes findings, and delivers a polished HTML report plus PDF.
When to Apply
Activate when the user asks to research a topic, compare information across sources, investigate something thoroughly, or compile findings from the web.
Workflow
Phase 1 — Clarify & Plan
- Clarify the research question. If the query is vague, ask the user for specifics: scope, depth, preferred sources, and where to save output (default:
research-<topic-slug>/in your working directory). - Plan search queries. Break the topic into 3–5 search angles. Example for "best standing desks":
best standing desks 2025 reviewsstanding desk comparison redditergonomic standing desk featuresstanding desk health benefits studies
- Create the output directory. Use
evaluate_scriptto create the target folder structure:
`` research-<topic-slug>/ ├── sources/ ← raw page content per source ├── findings.md ← running synthesis ├── report.html ← final HTML report └── report.pdf ← final PDF report ``
Phase 2 — Parallel Research & Persistence
For each search query, open a parallel research tab and persist results to disk immediately:
| Step | Tool | Detail | |
|---|---|---|---|
| Open tab | new_hidden_page | Opens a background tab so research doesn't disrupt the user | |
| Search | navigate_page | Navigate to https://www.google.com/search?q=<encoded-query> (or the user's preferred search engine) | |
| Pick results | get_page_content / get_page_links | Read the search results page; identify the 2–3 most relevant links | |
| Visit source | navigate_page | Navigate to each selected result | |
| Extract content | get_page_content | Pull the full page text | |
| Save raw content | evaluate_script | Write a markdown file to sources/<n>-<slug>.md containing the page title, source URL, extraction date, and full text. Always include the source URL so every fact is traceable. | |
| Close tab | close_page | Free resources after extraction |
Repeat across all search angles. Run multiple tabs concurrently where possible.
Source File Format (sources/<n>-<slug>.md)
Phase 3 — Synthesize Findings
After all sources are saved:
- Read each source file and extract key facts, data points, expert opinions, and areas of agreement or disagreement.
- Write `findings.md` in the output directory using the format below. Every claim must reference the source file and URL it came from.
- Continuously append to
findings.mdas you process each source — do not hold all content in memory.
Findings File Format (findings.md)
Phase 4 — HTML Report
Generate a self-contained report.html in the output directory with the following requirements:
| Requirement | Detail | |
|---|---|---|
| Theme | Light background (#ffffff), clean sans-serif typography, generous whitespace | |
| Sections | Title banner, executive summary, key findings (numbered cards), source table, conclusion | |
| Source links | Every finding must hyperlink to its original source URL. The source table must include clickable links. | |
| Self-contained | All styles inline or in a <style> block — no external CSS or JS dependencies | |
| Responsive | Readable on both desktop and mobile viewports | |
| Footer | "Generated by BrowserOS Deep Research" with the current date |
Use evaluate_script to write the HTML string to report.html in the output directory.
Phase 5 — Open, Export & Notify
| Step | Tool | Detail | |
|---|---|---|---|
| Open report | new_page | Open file://<path>/report.html so the user sees the finished report | |
| Export PDF | save_pdf | Save the currently open report page as report.pdf in the same output directory | |
| Notify user | — | Tell the user research is complete and provide paths to both report.html and report.pdf |
Tool Reference
| Category | Tools Used | |
|---|---|---|
| Tab management | new_hidden_page, new_page, close_page | |
| Navigation | navigate_page | |
| Content extraction | get_page_content, get_page_links | |
| File I/O & scripting | evaluate_script | |
| Export | save_pdf |
Tips
- 4–6 sources is the sweet spot for balanced coverage. More isn't always better.
- Prioritize recent sources — check publication dates and prefer current information.
- Note disagreements between sources rather than hiding them; surface conflicting data.
- Always record the source URL next to every fact so the report is fully traceable.
- For product research, include pricing and availability.
- For technical topics, prefer official documentation and peer-reviewed sources.
- If a Google search returns unhelpful results, try alternative queries or go directly to known authoritative sites.
Security
- Security scanPassed, 96 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingapps/server/src/skills/defaults/deep-research/SKILL.md
Popularity
- Repository stars
- 35
- Repository forks
- 31
- 7-day trend score
- 18
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 25 Mar 2026, 7 months ago.
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