'research' 검색 결과

Organize research knowledge by project in Obsidian, from creating folder structures and routing notes to maintaining daily logs, plans, and indexes. It also manages note changes and coordinates checks for broken links and registry consistency.

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• Setting up an Obsidian workspace for a research project
• Organizing sources, research notes, and experiment results
• Updating daily logs, project plans, and indexes

Coordinate multiple agents to investigate competitors, markets, trends, or factual claims across several sources. Choose from three workflow levels to produce a referenced report, with additional review and follow-up research in the most extensive mode.

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• Comparing competitors or proposed solutions
• Researching market and industry trends
• Checking claims against multiple sources

Set up an Obsidian knowledge base for a research repository containing code and Markdown. It creates project links, planning notes, source inventories, and code summaries, importing structure and summaries while leaving large research artifacts out.

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• Starting a research project's knowledge base
• Bringing a code and Markdown project into Obsidian
• Creating project plans and source inventories

Organize research project knowledge in an Obsidian vault, a folder of notes. Summarize existing repository materials, maintain paper, experiment, result, and writing notes, and synchronize daily progress without MCP or API keys.

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• Import existing research materials into Obsidian as summaries
• Keep daily progress and project memory synchronized
• Connect paper notes with experiments, results, and writing

Coordinate multiple AI agents in Diverga for parallel research, reviews, and methodology comparisons. Manage team creation, progress, and results, or run VS Arena debates where different research perspectives critique recommendations before the user chooses an approach.

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• Comparing research methods from different perspectives
• Reviewing a methodology section from several angles
• Retrieving papers from multiple databases in parallel

Find your way around Diverga with a guide to its 24 research agents across nine categories. View commands, example requests, direct invocation syntax, and checkpoints where people review research decisions, with recommendations based on research context.

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• Explore Diverga's research agents
• Find commands for setup and diagnostics
• Choose an agent for a research task

Collect papers across research databases, turn research questions into targeted search queries, remove duplicate records, and extract available PDF links. Useful for preparing systematic literature reviews, with database selection and access checks before retrieval.

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• Collecting papers across multiple research databases
• Turning research questions into database search queries
• Removing duplicate records and finding PDF links

Survey academic research on a topic by searching journals, working papers, and citation links. Combine findings into a structured report covering key papers, competing results, research gaps, and verified bibliography entries.

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• Survey prior research on a new topic
• Find related studies through a key paper's citations
• Compare conflicting findings across studies

Plan and draft academic papers from a research question, covering literature review, analysis, revision, and submission. The workflow checks supporting code and data sources so published claims can be reproduced.

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• Plan a paper around a research question
• Draft a methods section
• Review analysis robustness

Find datasets for a research question and compare whether they support the planned study. Receive ranked candidates with feasibility grades, coverage, access requirements, methodological limitations, and recommended next steps for obtaining the most suitable data.

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• Find datasets for a research question
• Check whether data supports the planned research method
• Compare access requirements and waiting times

Set up a research project with separate folders for code, source data, cleaned datasets, results, and documents. Create a research rules file from a template, a project README, and an initial progress log.

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• Starting a new research project
• Standardizing folders across research projects
• Separating source data from cleaned datasets

Carry out research implementation plans from environment setup through code, tests, and pull requests. The workflow checks estimation convergence, standard errors, diagnostics, and reproducibility while tracking completed tasks in the original plan.

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• Implement an estimation method from a research plan
• Build and verify a research data pipeline
• Run robustness checks and document results

Clean up completed research folders by identifying temporary and intermediate files for confirmed removal. Preserve papers, final findings, screening history, and methodology records, then check that essential files remain intact and report the space recovered.

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• Preparing a completed research folder for archiving
• Organizing research files before sharing with collaborators
• Reviewing accumulated temporary files for removal

Research an industry or product and produce a report with cited sources covering market size, competitors, regulation, supply chains, and pricing. Compare supported regions side by side and assess how concentrated competition is.

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• Researching market size and growth
• Comparing competitors and market concentration
• Comparing regulation and supply chains across regions

Analyze academic papers by organizing research questions, data, methods, findings, and limitations. Compare studies in a table, identify unanswered questions, and document how each paper relates to a research project, with BibTeX reference entries.

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• Summarizing a paper's methods and findings
• Comparing related studies in a table
• Identifying unanswered research questions

Turn a research proposal on Chinese corporate finance into a structured empirical project. The workflow recommends target journals, guides Python data preparation and statistical analysis, and produces code, LaTeX tables, and figures while recording changes to the analysis plan.

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• Plan empirical research using Chinese firm or city data
• Compare target journals for a research proposal
• Run policy effect and robustness analyses in Python

Search academic papers, researchers, institutions, and journals through the OpenAlex CLI. Explore citations and related work, examine publication trends, export reference records, and download available open access PDFs, which are freely accessible papers.

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• Finding papers on a research topic
• Exploring a researcher's publications
• Tracing citations and related papers

Develop scientific manuscripts from literature-backed outlines into connected paragraphs. Organize introductions, methods, results, and discussions; integrate citations and figures; and adapt the manuscript to study reporting guidelines and the target journal’s requirements.

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• Turning research outlines into manuscript paragraphs
• Organizing introductions, methods, results, and discussions
• Formatting citations for a target journal

Research industries, market trends, and funding activity to produce Chinese or English reports for private equity and venture capital research. Organize findings with sourced charts and tables, delivering PDF reports or requested DOCX and PPTX files.

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• Investigating technology sectors such as AI and SaaS
• Preparing data-focused consumer or healthcare market reports
• Reviewing funding rounds, investors, and exit activity

Research technical, market, or academic topics through multiple available AI providers working in parallel. Combine their findings into a report that preserves disagreements, identifies gaps, attributes sources, and recommends next steps with priorities.

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• Comparing libraries and implementation patterns
• Researching markets and competitors
• Synthesizing literature on a topic

Research complex topics across multiple sources using available external AI providers, then combine the findings. Choose the depth, focus, and output format to receive a detailed report, concise summary, comparison table, or recommendations.

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• Researching implementation patterns and APIs
• Comparing tools and alternative approaches
• Summarizing best practices from multiple sources

Research technology and advanced manufacturing investments by tracing supply chain bottlenecks, or inputs that are hard to expand. Compare companies using dated evidence, potential earnings contributions, and conditions that would change their research priority.

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• Finding companies to research within a technology theme
• Testing claims about a company's supplier position
• Comparing investment candidates across supply chain layers

Explore research ideas through conversation, question assumptions, and connect approaches from different fields. Develop a broad set of possibilities, then assess promising directions and outline next steps such as pilot experiments or literature searches.

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• Exploring directions for an early research project
• Finding connections across scientific disciplines
• Questioning assumptions when research feels stuck

Research library usage, recommended approaches, and general topics using external documentation and web sources. Choose a brief or thorough investigation, then organize examples, pitfalls, comparisons, and source links into a research document or implementation handoff.

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• Researching library APIs and usage examples
• Comparing tools and implementation approaches
• Compiling a topic report with source links