'knowledge' 검색 결과

Continue suitable tasks when web search repeatedly fails by assessing whether existing knowledge is sufficient. Mark unverified claims, distinguish confidence levels, and provide a follow-up checklist so readers can see what still needs checking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing whether work can continue without web search
• Drafting documents from established knowledge during search outages
• Marking unverified claims and confidence levels

Continue drafting research-based documents when web search or page reading tools fail. The workflow uses the agent’s existing knowledge, identifies information gaps, and flags claims that need external verification before completing the requested deliverable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting documents during web search outages
• Explaining established principles from existing knowledge
• Flagging claims that need current source verification

Search configured Yuxi knowledge bases to answer questions using internal or uploaded documents. Open source text, locate relevant passages, inspect mind maps, and identify supporting files so answers can be traced back to their evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Answering questions from internal documents
• Locating passages that support a claim
• Exploring knowledge base structure with mind maps

Test whether instructions planted in an agent's long-term memory or searchable knowledge base influence later behavior. Verify both a stored test marker and a resulting change in answers, permissions, or treatment of retrieved documents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether stored instructions affect later conversations
• Testing whether planted documents become trusted answers
• Reviewing permission changes caused by saved conversation summaries

Create new Feishu cloud documents from Markdown, a text format for structured content. Choose a folder or knowledge library location, and include tables, images, and diagrams in meeting notes or project plans.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create meeting notes in a specified folder
• Write project plans with tables and diagrams
• Add technical documents under a knowledge library page

Create or update Claude skills that capture specialized knowledge and repeatable workflows. Guides the organization of instructions, scripts, references, and templates, then covers initialization, validation, and packaging into a distributable skill file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning recurring work into a reusable Claude skill
• Organizing internal knowledge and API instructions
• Revising an existing skill after practical use

Extract a YouTube video’s full transcript and metadata, meaning details such as its title, channel, and like count, through the BrowserAct API. Use the results as source material for summaries, content research, or knowledge bases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collecting transcripts as source material for video summaries
• Gathering video text for content research
• Adding video transcripts to an internal knowledge base

Assess your Claude Code knowledge through multiple-choice questions with immediate feedback. Choose a quick check or a comprehensive assessment to identify gaps and receive a prioritized learning path, with practice projects included in the comprehensive mode.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking your current Claude Code knowledge
• Choosing which topics to learn next
• Planning team training around knowledge gaps

Create or update Claude skills that capture specialized knowledge and repeatable workflows. Guides the organization of instructions, scripts, references, and templates, then covers initialization, validation, and packaging into a distributable skill file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning recurring work into a reusable Claude skill
• Organizing internal knowledge and API instructions
• Revising an existing skill after practical use

Organize papers from Zotero into an Obsidian project knowledge base. The skill separates source notes, research synthesis, and writing outputs, requiring evidence records and source links before findings become claims used in later work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing Zotero papers into project source notes
• Connecting literature findings to their supporting evidence
• Preparing evidence-linked research writing

Turn specialized knowledge and repeatable workflows into an Agent Skill. Work through concrete usage examples, write SKILL.md, organize reusable scripts and resources, and validate the package before producing a distributable .skill file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn recurring work into a reusable skill
• Package internal knowledge and API instructions
• Revise an existing skill after real use

Set up an Obsidian knowledge base for a research repository containing code and Markdown. It creates project links, planning notes, source inventories, and code summaries, importing structure and summaries while leaving large research artifacts out.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a research project's knowledge base
• Bringing a code and Markdown project into Obsidian
• Creating project plans and source inventories

Coordinate a seven-stage literature review, from defining a research question to collecting and screening papers, building a searchable knowledge database, and producing PRISMA documentation. Specialized agents handle execution, with human approval at key decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Managing a systematic literature review
• Building a research knowledge repository
• Tracking approval of paper selection criteria

Turn an accepted feature proposal into an implementation specification grounded in existing code. Define scope, explain design decisions, track unresolved questions, and document migration steps and tests, with implementation tasks added when the work is approved for building.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn an accepted proposal into an implementation specification
• Record design choices and unresolved questions
• Plan migration stages and test coverage

Review whether a proposal, specification, or design decision addresses the right problem and follows from its goals and constraints. Receive prioritized findings with supporting evidence, confidence, and concrete alternatives or questions that would resolve each concern.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a proposal addresses the real problem
• Testing a specification against its goals and constraints
• Comparing alternatives and long-term maintenance costs

Document an incident with a sourced timeline, clear user impact, and analysis that separates symptoms, triggers, and underlying causes. Produce a blameless review with action items that specify responsible teams, deadlines, and checkable completion criteria.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write an outage report grounded in logs and alerts
• Separate incident triggers from underlying causes
• Compare recurring incidents and previous corrective actions

Turn a design problem into an RFC, a proposal for review and discussion. Define who benefits and what changes, compare real alternatives, document drawbacks and open questions, and save a linked, validated draft.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting an RFC for a design change
• Clarifying beneficiaries and observable outcomes
• Comparing alternatives and design drawbacks

Use whenever datasets, cloud storage buckets, or data pipelines are mentioned — creating, saving, querying, listing, exploring, deleting, or processing data in S3, GCS, Azure Blob, or local storage. Also use when running any script that may create datasets as a side effect. Maintains a knowledge base at dc-knowledge/ (JSON + markdown). ALWAYS use this skill when the user creates a dataset, saves pipeline output, runs a data script, or references any storage bucket.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design any process, idea, problem, or body of knowledge into an ICM (Interpretable Context Methodology) workspace — folder structure as agent architecture — or restructure an existing folder, repo, or vault into one. Use when the user wants to (1) turn a recurring workflow into an agent-runnable folder pipeline, (2) organize scattered notes, files, or knowledge into a library one AI agent can walk, (3) map a team or company as connected context ("context map", "second brain", "team brain", "knowledge base for AI"), (4) audit a codebase or mixed folder into a walkable edit map (objects, processes, change-impact) so later agents can change it without slurping the tree, (5) audit or restructure an existing workspace to ICM conventions, or (6) says "make this an ICM", "ICM this", "map this repo", "audit this folder", "what would a change hit", "build me a workspace", or "structure this for agents".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Use when the user asks "ingest my meetings", "update my knowledge base", "extract facts from meetings", "sync meetings to wiki", "backfill knowledge", or wants their PARA/Obsidian/wiki profiles updated from conversation data.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build, refresh and query a deterministic code knowledge graph to cut orientation-token cost. Triggers: knowledge graph, graphify, code graph, god nodes, orientation cost, map the codebase, what connects, callers of, blast radius.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

When the user wants to optimize for entity recognition, Knowledge Graph, or entity-based SEO. Also use when the user mentions "entity SEO," "entity optimization," "Knowledge Graph," "Knowledge Panel," "entity signals," "brand entity," "entity linking," "entity relationships," or "entity-first content." For structured data, use schema-markup.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Confluence expert for spaces, knowledge bases, documentation, page layouts, macros, templates, and Jira-Confluence integration. Use for documentation strategy, space architecture, content organization, and collaborative knowledge management.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit and repair an internal knowledge base — staleness, ownership gaps, orphans, duplication, and findability. Use when the wiki is untrusted, docs are out of date, nobody owns pages, or search returns the wrong answer.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.