'text' 검색 결과

Learn how instructions, documents, tool results, and conversation history form an AI model’s context. Understand attention limits, why information in the middle can be missed, and how relevance and placement inform decisions about what to include.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learning the basics of context engineering
• Understanding why more input does not always help
• Explaining how instruction placement affects attention

Bevy 0.20 UI and world text: Text, Text2d, TextSpan, TextFont, TextColor, TextLayout, TextShadow, Text2dShadow. Use when a HUD node or a 2D nameplate shows a string. Keywords: Bevy, text, UI, Text, TextSpan, bevy_text, Text2d, TextFont.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Fetch current library documentation with the ctx7 CLI to check API usage while coding. The skill also guides Context7 MCP setup, which connects documentation access to Claude Code, Cursor, or OpenCode, and covers login and authentication options.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fetch current documentation for a library
• Check API signatures while writing code
• Set up Context7 for an AI coding agent

Extract readable text from PDFs with pdftotext when read_file returns garbled or binary content. Choose page ranges, preserve text layout where needed, and send the extracted content to standard output or a text file for further processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering text when read_file returns garbled content
• Preparing PDF text for search or processing
• Extracting text from selected pages

Automate available Alttext AI operations through Rube MCP and Composio. The skill discovers tools and required inputs, checks the service connection, and executes supported tasks while keeping related steps in the same session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find available Alttext AI operations
• Check the Alttext AI connection before a task
• Execute supported tasks through an agent

Automate available Alttext AI operations through Rube MCP and Composio. The skill discovers tools and required inputs, checks the service connection, and executes supported tasks while keeping related steps in the same session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find available Alttext AI operations
• Check the Alttext AI connection before a task
• Execute supported tasks through an agent

Recover readable text from PDFs when read_file or Python extraction fails. Use pdftotext, a command-line text extractor, with options to preserve layout, specify character encoding, or save extracted content to a file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering text after PDF reading fails
• Extracting text while preserving page layout
• Saving text from large PDFs to a file

Extract PDF text when read_file returns unreadable binary content or little usable output. Try pdftotext with layout preservation, then use pdfplumber as an alternative when the command is unavailable or produces insufficient text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting text after read_file returns binary content
• Retrying PDF extraction with empty or very short output
• Extracting text while preserving the PDF layout

Update context-mode from GitHub, rebuild and reinstall it, and configure hooks that connect it to the agent environment. Review the actual version and upgrade results in a checklist, then restart the session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Update context-mode to the latest version
• Repair context-mode hooks and settings
• Review upgrade results and the installed version

Extract readable PDF text when read_file returns binary or image data. Check the filetype parameter, run pdftotext, a command-line text extractor, and inspect output and errors, with temporary file output as an alternative.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting PDF text after binary data is returned
• Checking read_file parameter names during troubleshooting
• Saving extracted text when direct output has issues

승인된 화면 시안이나 글로 전달한 요구 사항을 Pretext를 사용하는 HTML/CSS로 구현합니다. 줄바꿈과 높이를 계산해 내용에 따라 달라지는 레이아웃을 만듭니다.

• 승인된 화면 시안을 HTML로 구현
• 글로 작성한 요구 사항으로 페이지 제작
• 텍스트 분량에 맞춰 바뀌는 레이아웃 구현

Run context-mode diagnostics to check runtimes, hooks, full-text search support, plugin registration, and npm and marketplace versions. Results appear directly in the conversation with clear status labels, with a CLI fallback if the MCP call fails.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking the environment after installation
• Checking hooks and full-text search support
• Reviewing plugin registration status

Check how much conversation capacity context-mode has saved during the current session. View token consumption, the context savings ratio, and a breakdown by tool in full tables, with one sentence highlighting the main savings figure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking context savings in the current session
• Reviewing token consumption
• Comparing usage statistics across tools

Design how an AI agent edits its own working conversation history, choosing what to retain, rewrite, or remove. Covers safeguards, capacity monitoring, recovery after overflow, and the computing cost of changing earlier context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing agents that edit their own conversation history
• Preserving exact values during long tasks
• Recovering from context overflow

Extract readable text from PDFs when ordinary file readers return garbled or binary content. The skill guides agents through detecting failed reads and using pdftotext, a command-line PDF text extractor, with layout-preserving options.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading PDFs that return garbled text
• Extracting text while preserving page layout
• Working around Python dependency issues in sandboxes

Extract text from local PDF files with pdftotext or PyMuPDF, a Python library for reading PDFs. Convert individual files or batches into text files that an agent can read for summarization, analysis, or further data extraction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting local PDFs to text for summarization
• Extracting text from multiple PDFs in one batch
• Reading PDFs that appear as binary data in read_file

이전에 저장한 작업 상태를 읽어 중단한 지점부터 이어갈 수 있도록 맥락을 복원합니다. 현재 브랜치를 우선하며 다른 브랜치와 Conductor 작업 공간 인계도 지원합니다.

• 중단한 작업을 다시 시작할 때
• 현재 브랜치의 저장 정보를 복원할 때
• 다른 브랜치의 저장 정보를 찾을 때

Explore the context-matic MCP server through an interactive tour. Discover available APIs, choose one, and review authentication, data structures, and example calls in your project's programming language, with guidance matched to the SDK version.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learning what the context-matic server can do
• Browsing APIs available for a project's language
• Exploring an API's authentication and quickstart

Extract text from local or downloaded PDFs using a sequence of tools. Try file reading, then pdftotext before a Python fallback, check readability, and document failures while clearly separating extracted content from knowledge-based additions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract text from a local PDF
• Download a PDF from a URL and extract its text
• Switch tools when PDF reading fails

Claude Code가 읽는 에이전트, 스킬, 규칙, MCP 설정의 정보량을 점검합니다. 길거나 중복된 정의를 찾고 예상 절감량에 따라 개선안의 우선순위를 제시합니다.

• 컨텍스트가 빨리 차는 원인을 조사합니다
• 스킬이나 MCP 추가 후 설정을 점검합니다
• 긴 파일과 중복 지시를 확인합니다

Manage OmniRoute context settings from the command line, including token budgets and RTK filters for processing context. Switch saved server connections, import or export configurations, and inspect or expire conversation sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adjust context token budgets and filtering rules
• Switch between saved server connections
• Import or export connection settings as JSON

Guides users through removing a stored fact with Codewhale’s Context Lens memory controls. It identifies the intended fact, explains the forget action, and distinguishes confirmed deletion from an action that has not yet completed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Removing a fact from stored memory
• Finding the Context Lens forget action
• Checking whether memory deletion has completed

Manage the limited information an LLM can process at once. Use importance-based summaries, selective trimming, token counting, and content placement to plan what stays in context and address information loss during long conversations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning how to handle conversations near the token limit
• Summarizing a long dialogue while preserving key information
• Reviewing the placement of important instructions and facts

Extract readable text from PDFs when normal file reading returns garbled or unusable content. The workflow switches between extraction tools, checks the results, and includes optical character recognition for scanned pages when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering readable text from garbled PDF output
• Preparing PDF text for data processing
• Extracting text from scanned PDFs