저장소 README를 불러오는 중…
수집된 skill 23개 중 23개를 표시합니다.
Show results as interactive UI inside Codeg's chat (cards, tables, charts, tabs, accordions, badges, progress bars, simple forms) by writing a json-render spec code block in your reply. Use when the user invokes this skill or asks to see something as a card,…
원문 언어: 영어
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
원문 언어: 영어
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
원문 언어: 영어
Use when executing implementation plans with independent tasks in the current session
원문 언어: 영어
Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions
원문 언어: 영어
Use when you have a spec or requirements for a multi-step task, before touching code
원문 언어: 영어
Use when creating new skills, editing existing skills, or verifying skills work before deployment
원문 언어: 영어
Use when you have a written implementation plan to execute in a separate session with review checkpoints
원문 언어: 영어
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
원문 언어: 영어
Use when implementing any feature or bugfix, before writing implementation code
원문 언어: 영어
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify…
원문 언어: 영어
Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so the results will actually be interpretable. Use whenever someone is planning a study, asks how to assign…
원문 언어: 영어
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file…
원문 언어: 영어
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework.…
원문 언어: 영어
Search 10 academic literature APIs for papers, preprints, citations, and open-access full text, and return results with reproducible provenance. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall.…
원문 언어: 영어
Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for…
원문 언어: 영어
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.
원문 언어: 영어
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific…
원문 언어: 영어
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding…
원문 언어: 영어
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network…
원문 언어: 영어
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates…
원문 언어: 영어
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or…
원문 언어: 영어
Sample-size and statistical power calculations for planning studies. Use whenever someone asks "how many subjects/samples/replicates do I need", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample…
원문 언어: 영어
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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/spacering-net/codeg.README를 불러오지 못했습니다. 아래의 저장소 Skill 목록은 계속 이용할 수 있습니다.