'wiki' 검색 결과

Set up a lasting wiki knowledge base for a NanoClaw group. The skill helps define its topic, organize source files and wiki pages, and establish workflows for adding material, answering questions, and checking the wiki.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a wiki around a research topic
• Turn collected documents into connected knowledge
• Define wiki maintenance rules with an agent

Answer questions using Paperclip wiki pages and original sources, with citations for each claim. Identify missing information clearly and, with user approval, save useful comparisons or explanations as linked wiki pages for future reference.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Ask questions about information stored in a wiki
• Check wiki claims against original sources
• Save useful comparisons as reusable wiki pages

Maintain a local company wiki by incorporating source material, answering questions, and organizing navigation. Preserve original sources while keeping citations, links, and update logs, with project summaries that separate current status from lasting knowledge.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding source material to a company wiki
• Answering questions using cited wiki content
• Refreshing the index and checking wiki structure

Drive the AgentWiki knowledge platform via its CLI (`@aiagentwiki/cli`, command `agentwiki`) and MCP server (`https://api.agentwiki.cc/mcp`). Use this skill whenever the user mentions AgentWiki, agentwiki.cc, app.agentwiki.cc, the `agentwiki` CLI, the `@aiagentwiki/cli` npm package, the AgentWiki MCP server, or asks to create/list/search/share/publish documents, manage folders or tags, upload files or images, deploy static sites, traverse a knowledge graph, or query their AgentWiki workspace from the terminal or as an AI agent. Triggers include phrases like "agentwiki login", "aw_… API key", "create a doc on agentwiki", "search my wiki", "publish to agentwiki", "agentwiki MCP", or any task that would otherwise require opening app.agentwiki.cc manually.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

기억용 Wiki를 Obsidian에서 쓰기 쉽게 정리합니다. 노트 링크와 파일명, 속성 정보를 관리하고 이름 변경에 따른 링크 복구와 사용 환경 확인을 수행합니다.

• 기억용 Wiki를 Obsidian에 맞게 정리
• 노트 이름 변경 후 링크 복구
• 자동 생성 내용과 수기 메모 함께 사용

Feishu 지식 기반을 탐색해 wiki 링크의 대상과 연결된 콘텐츠를 확인합니다. 페이지 생성·이동·이름 변경을 지원하고 문서 열람·편집에 필요한 도구로 연결합니다.

• wiki 링크가 가리키는 페이지를 확인할 때
• 지식 기반의 계층 구조를 살펴볼 때
• 지정한 상위 페이지 아래에 페이지를 만들 때

Search an existing repository OpenWiki to clarify architecture and dependencies, or create and update its documentation. Pages explain system behavior using source evidence, with a resumable workflow that tracks progress one page at a time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Look up architecture and dependency behavior in an existing wiki
• Create repository documentation grounded in source code
• Update wiki explanations after source changes

원본 자료를 바탕으로 OpenClaw 기억 위키를 유지합니다. 사람이 쓴 메모를 보호하면서 기존 페이지를 갱신하고 중복, 정보 모순, 출처 누락을 확인합니다.

• 원본 자료로 위키를 갱신할 때
• 축적한 지식을 확인하고 인용할 때
• 갱신 후 모순과 출처 누락을 점검할 때

Fill unfinished research-wiki paper pages using summaries and abstracts from external sources. Organize each paper’s problem, method, results, limitations, and reusable ideas while preserving existing content by default and recording which source supplied the information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fill paper pages left unfinished after a literature import
• Summarize one paper’s methods, results, and limitations
• Prepare reusable research ideas for later brainstorming

Refresh an LLM Wiki index against the pages that actually exist. Add missing entries, remove entries for deleted pages, preserve custom categories, and log change counts while leaving page bodies untouched.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add existing pages missing from the wiki index
• Remove index entries for deleted pages
• Organize project entries and related standup links

Turn bundled Paperclip issues, comments, and documents into readable wiki updates covering project purpose, current progress, decisions, risks, and next actions, while preserving existing knowledge and citing the supporting activity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing recent project activity in a wiki
• Building wiki pages from historical project activity
• Recording decisions and their supporting evidence

Build a connected Markdown Wiki from documents, notes, transcripts, research, and code. Organize knowledge by subject, attach evidence to claims, maintain a navigation index, and integrate new material into existing pages while preserving disagreements and context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize scattered documents and notes into a knowledge Wiki
• Add new evidence to an existing Wiki
• Document concepts and relationships found in code

Audit an LLM Wiki for conflicting or outdated claims, broken links, missing concept pages, weak sources, and index inconsistencies. Return findings grouped by severity with evidence and suggested fixes, leaving page content unchanged.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking wiki pages for contradictions and outdated claims
• Finding broken links and isolated pages
• Reviewing sources and missing concept explanations

Turn a captured source document into linked LLM Wiki pages for sources, entities, concepts, and combined insights. Update the index and log, preserve the original material, and flag contradictions with existing knowledge instead of silently replacing it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a captured document to an LLM Wiki
• Organizing people, organizations, and concepts
• Recording conflicts with existing wiki information

Build a built-in connector that brings a new information source into OpenWiki. It guides the choice between an existing MCP server connection and custom code, covering authentication, incremental fetching, stored data, and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add a new information source to OpenWiki
• Decide whether to use an existing read-only MCP server
• Implement incremental fetching and resumable pagination

Assess a brand’s presence on YouTube, Reddit, Wikipedia, LinkedIn, and other sources relevant to AI search. Review mentions, official profiles, and discussion sentiment, then produce a weighted authority score and recommendations for each platform.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing brand mentions across major platforms
• Assessing positive and negative Reddit discussions
• Checking Wikipedia and Wikidata presence

Turn a structured LLM wiki into an interactive knowledge graph. It maps articles, topics, and sources, then adds entities and inferred relationships to help readers explore connections beyond the wiki’s explicit links.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore connections across wiki articles
• Find relationships beyond explicit links
• View articles and sources by topic

Turn documents into a growing Markdown wiki and a knowledge graph, a map of entities and their relationships. Preserve source text, update linked pages as new material arrives, and answer questions with supporting evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a reusable knowledge base from documents
• Trace relationships between terms and topics
• Answer questions with source evidence

Create and review company procedures and operational guides, then audit internal wikis for outdated pages, missing owners, broken connections, and inconsistent terminology. Produce structured drafts, step checks, and a prioritized list of documents to improve.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting procedures for employee onboarding
• Checking operational guides before use
• Prioritizing outdated wiki pages for revision

Run repeatable, read-only checks on an Obsidian wiki to find broken or ambiguous links, isolated pages, missing metadata, empty sections, outdated index entries, and source-record issues. Review findings with paths, line numbers, and counts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding broken links and isolated pages
• Auditing note metadata and source records
• Reviewing empty sections and outdated index entries

Build and maintain a persistent, interlinked markdown wiki (second brain / research notebook / personal knowledge base) from raw sources. Use this skill when the user wants to ingest an article / paper / note / URL / PDF into their wiki, ask a question against their wiki, lint/health-check their wiki, or set up a new wiki from a folder. Triggers include phrases like "add this to my wiki", "ingest this", "file this article", "update my notes with this", "what does my wiki say about X", "health-check my wiki", "find stale/orphan pages", or any workflow involving a `raw/` source folder, `wiki/` markdown folder, `index.md`, or `log.md`. Compatible with Obsidian vaults.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turn a codebase into a structured wiki with architecture notes, module references, and setup instructions. Generate Mermaid diagrams, which describe diagrams as text, and link explanations to the source files they document.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understand an unfamiliar codebase
• Create architecture and workflow diagrams
• Prepare reference docs for new team members

Build and maintain a Markdown knowledge store with source links for individual claims. Use Git checks to detect changes in the code a page describes, and archive outdated pages while preserving their history.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compile notes and papers into source-linked wiki pages
• Verify numbers and quotations against original sources
• Check whether code documentation needs updating

Keep project decisions, debugging notes, and session discoveries in a lasting Markdown wiki. Organize pages with tags and categories, connect related notes with links, and retrieve information through keyword searches.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording architecture decisions and their context
• Finding notes from earlier debugging sessions
• Saving discoveries at the end of a session