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Combine tools for research, reference management, notes, document creation, and publishing. Agents check available software and credentials, then choose suitable tools based on output requirements, costs, and offline needs to build a complete workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review literature and organize references
• Research, write, and publish a blog post
• Turn competitor research into a presentation

Work with NotebookLM through an installed command-line tool to list notebooks, add URL sources, ask questions, generate artifacts, and download results. It also provides commands for checking authentication, conversation history, and sharing status.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• List notebooks and inspect their sources
• Add URL sources to a notebook
• Ask questions and review conversation history

Search the web with Exa and retrieve full page text, highlights, or summaries. Choose search modes, narrow results by category and supported filters, and receive structured JSON for research and content collection workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find research papers on a specific topic
• Collect information about companies
• Track news within a publication date range

Turn interviews, surveys, support conversations, and public reviews into evidence-based customer insights. Identify recurring problems, buying triggers, and customer language, then build research reports, quote collections, or personas and plan interviews or surveys to fill gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze customer interview transcripts
• Find recurring themes in reviews and support tickets
• Build customer personas from research evidence

Find facts and data with web search, prioritizing primary or authoritative sources. Record exact figures, units, time periods, and source URLs in shared history so later calculation, coding, or writing can use traceable evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding facts backed by primary or authoritative sources
• Recording figures with units, time periods, and source URLs
• Collecting evidence before calculation or writing

Support decisions with market, technical, competitor, and other research. Draft prompts for external research tools, condense existing reports into source-cited summaries, or conduct web research directly, including comparisons between candidates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching markets or competitors for a decision
• Drafting a prompt for an external research tool
• Turning an existing report into a source-cited summary

Check physical units, propagate measurement uncertainty through calculations, and format results with meaningful precision. Local tools also inspect Python code for unit and uncertainty mistakes and assess whether calculated magnitudes are physically plausible.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert units while carrying measurement uncertainty
• Build an uncertainty budget from calibration data
• Audit Python calculations for unit and uncertainty errors

Simulate concentration changes over time from biochemical models in SBML or Antimony, and compare fixed parameter conditions. Checks model units and exports CSV results plus COMBINE archives containing models and experiment settings, then replays them to compare results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Calculate concentration changes in reaction networks
• Compare baseline and altered kinetic parameters
• Inspect model units and consistency warnings

Stress-test research plans by comparing possible scenarios, such as sample losses, unavailable materials, or methods failing to transfer. Record assumptions and evidence, compare response options, and define contingency plans and observable triggers for changing course.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan responses to higher-than-expected sample losses
• Prepare backups for unavailable reagents or datasets
• Compare research options under resource constraints

Use SymPy to simplify expressions, solve equations, and calculate derivatives, integrals, and matrices with exact symbolic results. Specify assumptions, verify solutions, and turn mathematical expressions into numerical functions, source code, or LaTeX output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Solving equations and checking their solutions
• Calculating symbolic derivatives, integrals, and limits
• Finding matrix eigenvalues with exact arithmetic

Run protein structure prediction, molecular design, and docking tools on Tamarind Bio without a local GPU. Guides tool selection, input validation, job submission, batch processing, and result retrieval through its REST API or MCP server.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Predicting protein structures in the cloud
• Running binder or antibody design tools
• Submitting batches of sequences for analysis

Retrieve, validate, and export protocols.io experimental procedures while preserving version and attribution details. Check saved JSON offline, save protocol PDFs, or prepare reviewable plans for updates and publication; bundled scripts do not execute changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrieve a specific version of an experimental protocol
• Validate saved protocol JSON offline
• Export a protocol as a PDF

Research current web information with Parallel CLI and organize findings with supporting sources. The skill covers search, page extraction, detailed reports, adding sourced fields to existing lists, finding matching entities, and recurring monitoring of web changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Research current information and locate academic sources
• Extract content from public webpages and PDFs
• Add sourced information to company or product lists

Design and review laboratory automation with PyLabRobot, including equipment layouts and liquid transfers. Check planned volumes and tip capacities, draft protocols, and simulate operations in software before a trained operator reviews any physical run.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing liquid-transfer plans
• Checking labware layouts and capacities
• Simulating protocols without physical equipment

Build quantum circuits with Qiskit, test them locally, and prepare them for IBM quantum hardware. The skill covers hardware-specific circuit conversion, sampling, expectation values, and analysis of measurement results, uncertainty, and resource usage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building and simulating quantum circuits locally
• Adapting circuits to IBM quantum hardware
• Comparing sampled results and expectation values

Design and review PCR and RT-qPCR primers, short DNA sequences used to start amplification. Assess predicted structures and unintended products under explicit reaction conditions, with reports that track reference sequences, coordinates, and search limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design new PCR or RT-qPCR primer pairs
• Review existing primers for structure and unintended products
• Plan exon-junction or isoform-specific assays

Run molecular property predictions, explore molecular shapes, and estimate how compounds bind to proteins through a cloud Python API. Process compound batches and connect modeling steps without maintaining local high-performance computing infrastructure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Predicting properties across a compound library
• Exploring molecular shapes and tautomeric forms
• Estimating how compounds bind to proteins

Validate particle data and run RELION refinement for single-particle cryo-electron microscopy. Check independently refined half maps, calculate diagnostic map correlations, and perform soft-mask postprocessing while preserving execution logs and restart information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check particle metadata and image-stack consistency
• Run refinement on a selected particle population
• Inspect agreement between independent half maps

Prepare constructive review drafts for scientific manuscripts, protocols, preprints, and proposals. Organize checks of claims, evidence, methods, statistics, reproducibility, ethics, figures, and citations into specific comments that a responsible human reviewer can verify and revise.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft evidence-based comments on a scientific manuscript
• Check methods, statistics, and reproducibility reporting
• Choose reporting guidelines and identify missing information

Gather scholarly evidence for a scientific manuscript or research brief. Organize supporting and conflicting findings into references, study comparison tables, and claim-to-source maps, with search records and coverage reports that help identify gaps requiring further review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Gather background literature for a manuscript
• Compare supporting, conflicting, and null findings
• Build study comparison tables and claim-to-source maps

Calculate equilibrium phases, their molar fractions, and compositions from a local thermodynamic database using pycalphad. Compare temperatures, check material balance and sampling stability, and export results with recorded conditions and database identifiers.

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• Calculate equilibrium phase fractions for an alloy composition
• Compare stable phases across specified temperatures
• Check material balance and sampling stability

Validate and convert crystal and molecular structures, compare symmetry assignments, and build phase diagrams showing relative stability from local calculation data. Preserve sources and parameters while analyzing materials data or planning limited Materials Project queries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Validating crystal structures in CIF files
• Comparing symmetry assignments across tolerances
• Converting structure files and checking information loss

Manage Zotero reference libraries through Python: search, create, update, and delete references, organize collections and tags, upload PDF attachments, and export citation data. Guidance covers both remote libraries and access through a running local Zotero app.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Searching references in a Zotero library
• Organizing references with collections and tags
• Uploading PDF attachments to references

Simulate lithium-ion battery charging, discharging, and rest with PyBaMM. Track voltage and capacity, record parameter sources, check how numerical settings affect predictions, and compare simulated curves with measured cycling data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Predicting voltage changes during charge, discharge, and rest
• Comparing simulation results with measured cycling data
• Checking how numerical settings affect predictions