Explore gene, drug, disease, and phenotype associations in a downloaded PrimeKG CSV. Retrieve direct relationships, disease summaries, and paths through one intermediate node while preserving relationship types and data provenance for reproducible research and hypothesis generation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking associations between genes, drugs, and diseases
- Summarizing genes, drugs, and phenotypes linked to a disease
- Exploring short paths between two entities
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Calculate equilibrium phase fractions for an alloy composition
- Compare stable phases across specified temperatures
- Check material balance and sampling stability
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Develop and prioritize early research ideas through independent brainstorming, structured discussion, evidence checks, and critical review. Keep assumptions, uncertainty, dissent, and scoring reasons visible, then record the human decision and appropriate next steps.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Exploring candidate directions for a new research topic
- Organizing ideas before a research team discussion
- Comparing proposals using explicit evaluation criteria
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
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
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Review papers, drafts, and research ideas with evidence-linked feedback focused on improvement. Audit low-stakes assessment rubrics, trace supporting evidence, and check rater agreement and uncertainty without ranking people or recommending consequential decisions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Prepare evidence-linked feedback on a paper draft
- Review strengths and limitations of a research idea
- Check assessment criteria and evidence traceability
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
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
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
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
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Explore recommended papers in Paperzilla projects, search project feeds, and summarize available paper text. The skill also helps explain research relevance, record recommendation feedback, export records as JSON, and retrieve personal feed URLs.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Review recent paper recommendations for a research project
- Summarize a paper and explain its relevance to your research
- Export papers or recommendations as JSON
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Prepare and review research funding proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Maps application requirements to draft sections, identifies gaps, and helps refine research aims, budgets, impact statements, and responses to reviewers.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Map funding-call requirements to proposal sections
- Review research aims against evaluation criteria
- Align budgets and timelines with the research plan
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
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
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
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
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Simulate quantum dynamics, steady states, and spectra with QuTiP 5. The skill guides solver selection and checks physical assumptions, units, state validity, and numerical convergence so local simulation results can be reviewed with their limitations.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Simulating quantum dynamics with environmental dissipation
- Choosing a solver for a quantum model
- Checking numerical convergence and state validity
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Calculate seawater carbonate chemistry from two independent measurements using PyCO2SYS. Produce pH, carbonate species, and mineral saturation results, convert laboratory conditions to ocean conditions, and propagate measurement uncertainty while recording calculation assumptions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Calculate carbonate chemistry from paired seawater measurements
- Assess aragonite and calcite saturation
- Convert laboratory results to ocean temperature and pressure
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Prepare experiments for Ginkgo Cloud Lab by choosing a protocol, organizing required inputs, checking configured pricing, and navigating browser ordering. Covers protein expression, RNA synthesis, stability assays, and setup of measurement methods.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Choosing a protein expression and purification protocol
- Preparing inputs for mRNA or circRNA synthesis
- Reviewing stability assays and measurement method setup
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Look up genes, sequences, protein structures, expression patterns, and disease associations across more than 20 bioinformatics resources using command-line tools or Python. Useful for interactive exploration, with results that can be saved for further analysis.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Looking up gene details and sequences
- Exploring protein structures and residue annotations
- Comparing tissue expression and disease associations
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Finds papers, preprints, citation links, and openly available full text through 18 scholarly APIs. Selects databases for the task and returns relevant records with search parameters, identifiers, and access dates so the retrieval can be repeated.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Find papers and preprints on a research topic
- Look up a paper by DOI, PMID, or arXiv ID
- Find openly available full text or PDFs
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Look up biomedical relationships in ARAX using explicit entity types and tightly bounded paths. Inspect direct links or paths through one intermediate entity, along with returned publications and source records, to identify candidates for further research.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Checking recorded drug–gene relationships
- Exploring paths between a drug and a disease
- Inspecting publications and original data sources
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Screen compound libraries for drug discovery using drug-likeness guidelines, structural alerts that flag patterns for review, and molecular complexity measures. Combine criteria to shortlist candidates and retain filtering results with reasons for further assessment.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Screen compound libraries with drug-likeness rules
- Flag PAINS and other structures for review
- Combine property, structure, and complexity filters
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Turn observations or preliminary findings into testable research plans. The skill separates candidate hypotheses from evidence, develops competing explanations and distinguishing predictions, and helps specify measurements and analysis plans for preregistration, a research plan recorded before testing.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Turn an observation into testable research hypotheses
- Compare competing explanations and distinguishing predictions
- Define measurements and review an analysis plan
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Create, review, migrate, and simulate Python liquid-handling protocols for Opentrons Flex and OT-2 robots. Covers deck layout, labware, pipettes, modules, volumes, and tip policies, with checks for Opentrons App analysis and operator review before physical runs.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Draft liquid-transfer or serial-dilution protocols
- Review deck layout, volumes, and tip changes
- Update older protocols for supported API versions
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Search biomedical papers, regulatory documents, clinical trials, and protein records through GXL Paperclip. Extract comparable information across documents, inspect figures, and organize findings with citations linked to the source lines that support them.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Finding biomedical papers on a topic
- Comparing methods and results across papers
- Reviewing regulatory documents and clinical trials
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Plan and write literature reviews using multiple scholarly databases. Document searches, screen papers, synthesize findings, and check citations, then prepare Markdown or PDF reports with transparent selection counts, evidence limitations, and reproducible search records.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Prepare a literature review for a thesis or research paper
- Record reproducible searches across scholarly databases
- Track screening decisions and exclusion reasons
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Find and download public cancer imaging data from NCI Imaging Data Commons. Select CT, MR, PET, or pathology datasets using metadata, view images in a browser, and check licenses and citations before using the data.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Find cancer images by disease, modality, or anatomical site
- Download selected DICOM image series
- View radiology and pathology images in a browser
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트
Search the 1000 Genomes Project’s 3,202 participants for genetic variants and their carriers. Filter by frequency or annotations, inspect variants in selected individuals, and check relatedness between two participants.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Find participants carrying variants that match specified criteria
- Inspect genetic variants carried by selected participants
- Identify participants with two reference copies at a position
K-Dense-AI/scientific-agent-skills☆ 5.3만2026년 10월 16일 업데이트