'from scratch' 검색 결과

Excel과 CSV를 만들고 편집하며 흐트러진 표 데이터를 정리하고 형식을 변환합니다. 수식 재계산과 오류 확인, 서식 조정까지 거쳐 스프레드시트 파일로 완성합니다.

• 흐트러진 CSV를 표로 정리
• Excel에 수식과 차트 추가
• 작성용 템플릿 제작

Learn to examine compiled programs through one interactive lesson per session. Labs and quizzes cover file formats, machine instructions, program behavior, and analysis tools, while recorded observations provide evidence for completing each lesson and resuming later.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learn to read programs you compiled yourself
• Study binary formats and machine instructions
• Check analysis claims against observed output

Apply shared visual and writing rules to course pages, figures, and manuals. Check colors, fonts, labels, layouts, plain technical English, dark themes, keyboard focus, touch targets, and reduced-motion behavior against defined reference values.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Applying consistent colors and fonts to course pages
• Checking dark theme colors and text readability
• Standardizing figure labels and card layouts

Create a substantial technical manual for one exact system version. Organize authoritative sources, record offline inputs and outputs, explain behavior with figures, and audit the text and supporting evidence for consistency.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Documenting a protocol or file format at a fixed version
• Building reproducible offline request and response records
• Adding a section with figures and traceable sources

Study Model Context Protocol (MCP), which connects AI applications with external tools, through guided lessons and exercises. Inspect requests and responses, practice implementation and security checks, and record progress alongside observed results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learn MCP fundamentals through requests and responses
• Practice building MCP clients and servers
• Study authorization, security, and operational failures

Learn to create, discover, invoke, secure, evaluate, package, and port Agent Skills through one interactive lesson at a time. Practical checkpoints and quizzes track demonstrated progress in a local file, so later sessions resume where you stopped.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learn to build and invoke a minimal Agent Skill
• Understand discovery and automatic routing
• Check permission, sandbox, and trust boundaries

Take a ten-question interactive quiz across five AI and machine learning areas. Use the results to find a starting point in a 523-lesson curriculum, identify topics to review, and estimate the time for your learning path.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find where to begin studying AI and machine learning
• Skip familiar material in the curriculum
• Identify areas that need review

Create, edit, and clean spreadsheet files, including Excel workbooks and CSV data. Add formulas, formatting, and charts, preserve existing workbook conventions, and recalculate formulas with error checks before delivering the spreadsheet.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean messy CSV data into a spreadsheet
• Edit an Excel workbook while preserving its formatting
• Create a financial model with recalculating formulas

Creates a new skill within the current repository, gathering its name and purpose before building the SKILL.md structure. It follows repository guidelines, runs validation, and optionally syncs skills for shared use through Claude.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a new skill from scratch
• Defining when an agent should use a skill
• Syncing a skill for shared use through Claude

Create and maintain project documents in conductor/ covering the product, technology stack, development workflow, and work units. Extract context from existing code, check document consistency before implementation, and update documentation as the project evolves.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up context documents for a new project
• Document an existing codebase for onboarding
• Check project documents before implementation

Build a new classroom course through an agreed page plan, teacher and learner personas, ordered page generation, and final checks. It defines when pages and narration audio are complete and how to handle generation failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a new classroom course from scratch
• Setting teacher and learner personas before generating pages
• Checking saved pages and narration audio for completeness

Fill an existing investment banking PowerPoint template with data from Excel, CSV, and other source documents. The workflow maps content to slides, checks figures, formats tables and shapes, and reviews consistency across the finished presentation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Filling a pitch deck template with spreadsheet data
• Updating figures in existing slides
• Fixing table and text formatting

Create, edit, and clean spreadsheet files, including Excel workbooks and CSV data. Add formulas, formatting, and charts, preserve existing template styles, and recalculate formulas to check for errors before delivering the spreadsheet.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean messy CSV rows and headers into a usable spreadsheet
• Add formulas and charts to an existing Excel workbook
• Build a financial model with editable assumptions

Create, edit, combine, or split PowerPoint presentations, and extract text from existing slides. The skill also guides template use, visual design, and checks for missing content, overlapping elements, and text that extends beyond its box.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a proposal presentation from scratch
• Updating slides with an existing template
• Extracting slide text for a summary

Learn how GPT language models work by preparing text, training a small model, and generating samples. Covers CPU experiments, custom datasets, further training of pretrained GPT-2 models, and reproducing GPT-2 with multiple GPUs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train a small model on Shakespeare using a CPU
• Prepare custom text for model training
• Further train a pretrained GPT-2 model

Turn a feature into an agent skill or improve an existing one. Define purpose-specific quality criteria, review outputs with models from three providers, then add tests and check that user requests reach the intended skill.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a reusable feature into an agent skill
• Audit an existing skill for missing parts
• Check quality after fixing or extending a skill

Create a functional application prototype from an initial idea. The workflow covers requirements, technology choices, plan approval, project setup, implementation, visual assets where needed, build verification, and instructions for starting the result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a website prototype from an idea
• Creating an initial mobile or desktop application
• Developing a playable 2D or 3D game prototype

Turn a founder’s business vision into linked Markdown files through a phased interview covering strategy, finance, sales, operations, and governance. Build a company knowledge bundle that people and AI agents can read, with progress tracking and decision history.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Structure a new business through phased interviews
• Build a company knowledge base for AI agents
• Document decisions and track planning progress

Create, edit, and reorganize PowerPoint presentations, or extract text from existing decks. Use templates or build slides from scratch, apply consistent visual styling, and inspect rendered slide images to find content and layout problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a presentation or pitch deck
• Update slides using an existing template
• Extract slide text for a summary

Create and edit spreadsheet files, clean messy tables, and convert tabular formats. Add formulas, formatting, and charts while following existing template styles, then recalculate formulas and check for errors before delivering the spreadsheet.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clean messy CSV data into a spreadsheet
• Add formulas and charts to an Excel workbook
• Update a workbook using its existing formatting

Learn how GPT language models work by preparing text, training a small model, and generating samples. Covers CPU experiments, custom datasets, further training of pretrained GPT-2 models, and reproducing GPT-2 with multiple GPUs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train a small model on Shakespeare using a CPU
• Prepare custom text for model training
• Further train a pretrained GPT-2 model

Create or review llms.txt, a Markdown guide to a website for AI systems. Discover important pages, write factual summaries, check links and formatting, and produce a ready-to-save file or an improvement report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create llms.txt from a website's public pages
• Check an existing file's format and links
• Find important pages missing from the guide

Organize existing code components into business areas to prepare for service separation. Produce domain maps, component assignment tables, and refactoring plans that align namespaces, the naming structure used to organize code, with business responsibilities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Grouping existing components by business responsibility
• Planning service extraction from an existing application
• Aligning code namespaces with business areas

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.