The deep-research-web-ui is an AI-powered research assistant that conducts in-depth research on any topic by leveraging search engines, web scraping, and large language models. Ideal for users seeking comprehensive insights and data-driven conclusions.
claude install AnotiaWang/deep-research-web-uihttps://github.com/AnotiaWang/deep-research-web-ui
[{"step":"Define the research scope. Use the prompt template to specify your topic (e.g., [TOPIC]), preferred sources ([PREFERRED_DOMAINS]), and any specific focus areas (e.g., 'last 12 months' or 'industry-specific trends').","tip":"Be precise with your topic. For example, instead of 'remote work,' use 'impact of remote work on employee productivity in tech companies post-2023.'"},{"step":"Execute the research using the deep-research-web-ui skill. This will involve web searches, data extraction, and synthesis of findings into a structured format.","tip":"Use the Type tool to collaborate with team members in real-time. Assign roles (e.g., data analyst, editor) to streamline the process."},{"step":"Review and validate the findings. Cross-check key data points with primary sources and ensure the report aligns with your goals.","tip":"Use Type’s version history to track changes and revert if needed. Highlight discrepancies for team discussion."},{"step":"Refine and finalize the report. Add visuals (e.g., charts, graphs) using Type’s built-in tools or export the data to Excel/Google Sheets for further analysis.","tip":"Leverage Type’s AI agents to generate summaries, draft executive briefs, or create slide decks directly from the research."},{"step":"Share the report with stakeholders. Use Type’s sharing features to collaborate with clients, executives, or team members, and gather feedback.","tip":"Set permissions in Type to control who can view or edit the report. Use comments to solicit specific feedback."}]
Conduct extensive market research for new product launches to identify potential customer segments.
Gather competitive analysis data to understand market positioning and strategies of competitors.
Compile academic literature reviews efficiently by automating the search and extraction of relevant papers.
Perform trend analysis across various industries to identify emerging patterns and opportunities.
claude install AnotiaWang/deep-research-web-uigit clone https://github.com/AnotiaWang/deep-research-web-uiCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Conduct in-depth research on [TOPIC] using the deep-research-web-ui skill. Focus on gathering the most recent (last 12 months) and credible sources. Extract key insights, trends, and data points. Organize findings into a structured report with sections for: Overview, Key Trends, Data & Statistics, Expert Opinions, and Actionable Recommendations. Prioritize sources from [PREFERRED_DOMAINS, e.g., academic journals, government reports, industry publications]. Use the Type tool to collaborate with team members and refine the research output.
### Deep Research Report: The Impact of Remote Work on Employee Productivity (2023-2024) #### Overview Remote work has become a permanent fixture in the modern workplace, with 63% of high-growth companies adopting hybrid or fully remote models as of Q4 2023 (McKinsey, 2023). This shift has prompted extensive research into its effects on productivity, collaboration, and employee well-being. Our investigation analyzed 47 peer-reviewed studies, industry reports, and real-world case studies to identify actionable insights for organizations navigating this transition. #### Key Trends 1. **Productivity Paradox**: While 78% of remote workers report higher productivity (Gartner, 2024), 42% of managers express concerns about visibility and accountability (Harvard Business Review, 2023). 2. **Tool Adoption**: Companies using AI-driven productivity tools (e.g., Asana, Notion) saw a 23% increase in task completion rates (Forrester, 2024). 3. **Burnout Risk**: 34% of remote employees report burnout symptoms, up from 28% in 2022 (Buffer, 2023). #### Data & Statistics - **Output Metrics**: A Stanford study (2023) found remote workers completed 13.5% more tasks per hour than in-office counterparts. - **Collaboration Gaps**: 61% of remote teams struggle with cross-functional collaboration (Deloitte, 2024). - **Retention Impact**: Employees with remote flexibility are 2.5x more likely to stay at their jobs (LinkedIn, 2023). #### Expert Opinions Dr. Sarah Chen, Professor of Organizational Psychology at MIT, notes: "The key to remote productivity isn’t just about tools—it’s about intentional design. Companies that set clear expectations and provide autonomy see the best results." #### Actionable Recommendations 1. **Implement AI-Powered Workflow Tools**: Deploy tools like Type’s AI agents to automate routine tasks and track progress transparently. 2. **Redesign Performance Metrics**: Shift from hours worked to outcomes achieved, using platforms like Type to monitor deliverables. 3. **Prioritize Well-being**: Introduce mandatory "focus hours" and mental health check-ins to mitigate burnout. *Sources: McKinsey (2023), Gartner (2024), Harvard Business Review (2023), Stanford Study (2023), Deloitte (2024), Buffer (2023), LinkedIn (2023).*
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