SRN

Present comparisons, trends, and progress as interactive cards, tables, and charts inside Codeg chat. Create layouts with tabs, checklists, and simple forms that update displayed state and validate user input.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Displaying comparison results as cards or tables
• Showing trends and breakdowns with charts
• Summarizing progress in a dashboard

Review scientific manuscripts and grant proposals using structured checklists. Assess methods, statistics, reproducibility, ethics, and reporting completeness, then organize findings into a balanced report with major concerns, minor comments, and specific suggestions for revision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a structured journal peer review
• Reviewing methods in a grant proposal
• Checking a manuscript before revision

Assign independent bugs or test failures to separate agents that work at the same time. Define each agent’s scope and expected report, then check for conflicting changes and run the full test suite before integrating fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating test failures with unrelated causes
• Fixing independent problems in separate subsystems
• Defining focused tasks for multiple agents

Evaluate code review feedback against the actual code, supported environments, and existing behavior. Clarify uncertain requests, respond with technical evidence, and implement valid changes one at a time with tests for each fix.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying ambiguous code review comments
• Checking whether suggested changes preserve compatibility
• Assessing whether a requested feature is actually used

Find academic papers, retrieve publication details, and build BibTeX reference files for scholarly writing. Check identifiers, missing information, duplicate entries, and mismatches between manuscript citations and the bibliography, with tools for formatting and validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding papers for a manuscript or thesis
• Converting paper identifiers into BibTeX entries
• Cleaning duplicate or incomplete references

Plan experiments before collecting data by choosing how to assign samples, combine conditions, and order runs. Generate reproducible allocation schedules and experimental layouts while checking for design flaws that could make results difficult to interpret.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assigning subjects or samples to comparison groups
• Screening many factors to identify promising ones
• Planning around batch, day, or plate-position differences

Assess how well scientific evidence supports a claim. Examine study design, statistical methods, bias, and alternative explanations, then explain supported conclusions, uncertainties, and improvements using established frameworks for judging evidence quality.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a paper's conclusions follow from its data
• Comparing evidence behind conflicting research findings
• Identifying bias and alternative explanations

Estimate study sample sizes and statistical power, the chance of detecting a specified effect. Calculate detectable effects for a fixed sample, compare assumptions with power curves, and document adjustments for dropout, multiple comparisons, or clustered observations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimate participant or sample counts before data collection
• Find the smallest effect detectable with a fixed sample
• Compare sample requirements across plausible effect sizes

Explore scientific data files to understand their structure, statistical patterns, and quality. References cover over 200 formats, with workflows for producing Markdown reports that summarize findings and recommend preprocessing, visualizations, and further analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking missing values and outliers in experimental tables
• Examining sequence lengths and quality scores in FASTQ files
• Inspecting microscopy image dimensions and metadata

Finish completed development work by checking the full test suite and presenting integration choices: merge locally, create a Pull Request, or keep the branch. It carries out the selected path and handles workspace cleanup accordingly.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Merging a completed feature locally
• Pushing a branch and creating a Pull Request
• Keeping completed work for later integration

Turn specifications into detailed implementation plans before coding. Break work into testable tasks with exact file paths, code, test commands, expected results, and interfaces so another developer or agent can carry out the work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a feature from written requirements
• Preparing implementation instructions for another developer
• Defining tests before writing code

Turn development ideas into clear designs through guided discussion. The skill clarifies goals, requirements, and constraints, then adapts the process to a feasibility investigation, a small existing-code change, or a larger architectural design.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying requirements before adding a feature
• Exploring whether an idea is feasible
• Comparing designs for a new project

Create, revise, and check agent skills by testing how agents behave before and after receiving the instructions. Use observed failures to improve SKILL.md, clarify usage conditions, and close gaps before deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a reusable agent skill
• Testing changes to an existing skill
• Checking whether agents follow instructions under pressure

Carry out a written implementation plan in a separate session, reviewing it before starting and tracking each task through verification. The workflow pauses for blockers and hands completed work to a development branch finishing process.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Executing a written implementation plan
• Tracking task progress and verification
• Reviewing gaps before implementation

Request a focused code review after implementation or before merging. Give a separate reviewer agent the requirements, change summary, and commit range, then address findings according to their severity before continuing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a completed major feature
• Checking changes before merging into main
• Reviewing a complex bug fix

Establish a routine for checking and invoking relevant skills before answering or taking action. It prioritizes skills that define the workflow, then guides the agent toward task-specific skills and any checklists they contain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking relevant skills at the start of a conversation
• Organizing skill order before building a feature
• Choosing a debugging workflow before fixing a bug

Find academic papers, citation links, and openly available full text using suitable sources among ten literature APIs. Results include search parameters, identifiers, and access dates so readers can repeat the lookup and understand gaps in coverage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding papers on a research topic
• Looking up a paper by DOI or PMID
• Finding an openly available PDF or full text

Turn written descriptions into scientific diagrams, including neural network architectures, biological pathways, and research flowcharts. Nano Banana 2 generates images, while Gemini 3.1 Pro Preview reviews them and guides regeneration when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Illustrating neural network architectures
• Creating participant flowcharts for research
• Drawing biological signaling pathways

Prepare research data figures for journal submission with consistent layouts, error bars showing uncertainty, and accessible colors. Adjust figure dimensions, typography, resolution, and export formats using matplotlib, seaborn, and plotly.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing figures for journal submission
• Combining multiple plots into one consistent figure
• Improving color and grayscale readability

Analyze research data with guidance on choosing statistical tests, checking their assumptions, and measuring effect sizes, meaning the magnitude of differences or relationships. It also supports sample size planning, Bayesian analysis, and APA-style reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing groups in experimental or survey data
• Choosing tests and checking their assumptions
• Planning the required study sample size

Prepare a separate workspace for feature development using platform tools or git worktree, which gives a branch its own working directory. It checks existing isolation, prepares dependencies, and runs tests before implementation begins.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting feature work in a separate workspace
• Preparing a workspace before executing an implementation plan
• Checking whether a workspace is already isolated

Build testable scientific hypotheses from observations or preliminary data. Compare competing explanations against published evidence, define measurable predictions, and propose experiments, then organize the findings into a research report with diagrams and detailed supporting material.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop testable hypotheses from preliminary observations
• Compare competing explanations using published research
• Plan experiments that distinguish between hypotheses

Carry out an implementation plan by assigning independent tasks to separate agents. The workflow includes specification checks, code quality reviews, fixes, a persistent progress record, and a final review of the entire branch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Executing an implementation plan with independent tasks
• Reviewing specification compliance and code quality for each task
• Resuming development from a saved progress record

Investigate bugs, failing tests, and unexpected behavior before proposing changes. Follow four stages to gather evidence, compare working examples, test a specific cause, and verify a focused fix with a test that reproduces the problem.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failing tests
• Tracing production bugs to their source
• Finding failures across connected components