'context' 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.

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

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

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.

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

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.

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

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.

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

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

Resume interrupted work by loading the latest state saved with /context-save. The skill prefers a save from the current branch, falls back to other branches, and supports handoffs between Conductor workspaces.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resuming work after an interruption
• Restoring saved context for the current branch
• Finding saved context from another branch

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.

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• 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.

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• 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.

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• 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

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.

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

/context-builder と入力されたときだけ起動する、コンテキストドキュメント作成インタビュースキル。人・プロジェクト・プロダクトなどの対象について、1問ずつ掘り下げる対話を通じて情報を集め、今後 Claude との対話の冒頭に貼り付けるための context.md（自分についてなら aboutme.md）を作り上げる。/context-builder me（自分＝aboutme）/ project / product のように対象を指定できる。「aboutme を作りたい」「プロジェクトのコンテキストをまとめたい」「プロダクトの前提情報を用意したい」ときに使う。自動起動はせず、ユーザーが /context-builder と明示的に入力した場合のみ使用すること。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diagnose why an AI agent becomes less reliable as conversations and documents accumulate. Distinguish missed information, persistent false claims, irrelevant material, mixed tasks, and conflicting sources, then choose ways to clean, reorganize, or separate the context.

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• Investigating declining quality in long conversations
• Recovering from false claims that persist after correction
• Resolving conflicts between retrieved documents

Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rotUse when "context window, token limit, context management, context engineering, long context, context overflow, llm, context, tokens, memory, summarization, optimization" mentioned.

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Manages context passing between DAG nodes and spawned agents. Handles context summarization, selective forwarding, and token budget optimization. Activate on 'bridge context', 'pass context', 'summarize context', 'context management', 'agent context'. NOT for execution (use dag-parallel-executor) or aggregation (use dag-result-aggregator).

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Context and scope-tagging UI. Use when adding a context picker to a surface, tagging an entity to scopes, setting or filtering by the active (working) context, showing per-entity context status, prompting for context on upload, or editing context-assignment/**, active-context/**, or appContextSlice.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Context7 MCP로 라이브러리와 프레임워크의 설정, API, 코드 예시를 조사합니다. 가져온 최신 문서를 바탕으로 답변하며, 자료가 있으면 지정 버전을 우선합니다.

• 프레임워크 설치와 설정을 확인합니다
• 라이브러리 API와 사용법을 조사합니다
• Prisma 쿼리 예시를 찾습니다

Create a standard folder layout for a DDD bounded context, a module organized around one business area. Generate TypeScript export files, keep infrastructure outside the public exports, and record the context in a domain model graph.

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• Starting a module for a new business area
• Splitting a monolith into bounded contexts
• Listing existing contexts

Find current documentation and code examples through the Context7 MCP server. Look up library setup, API usage, migration steps, and library-specific problems, using documentation for the requested version when available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Looking up documentation for a specific version
• Finding library setup and configuration steps
• Finding examples for code that uses external libraries

Retrieve current documentation and code examples from Context7 for libraries, frameworks, and developer tools. Use the results to answer questions about API syntax, configuration, installation, version migration, and library-specific problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking current API syntax
• Finding setup and configuration examples
• Investigating version migration issues

Refactor state held in Redux or React Context by separating API data, URL settings, shared interface state, and local component state. Move each part to React Query, nuqs, Zustand, or React’s local state hooks.

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• Migrating away from Redux or React Context
• Removing duplicate storage of API responses
• Sharing filters and pagination through URLs

Delete stored context-mode data for one session or an entire project after confirming the scope. Remove an unwanted session while preserving others, or clear project knowledge, session records, and statistics for a fresh start.

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• Remove data from one unwanted session
• Clear a project database containing outdated information
• Reset all stored project data for a fresh start

Route data analysis, large-file processing, and web retrieval through context-mode tools, returning only relevant results to the conversation. This helps preserve the context window, the limited amount of information an AI can work with at once.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Counting or filtering large datasets
• Retrieving relevant information from web pages
• Collecting and searching results from multiple commands