'knowledge base' 검색 결과

Use this skill when setting up, configuring, or managing Salesforce Lightning Knowledge — enabling the feature, designing record types on Knowledge__kav, configuring Data Categories for organization and visibility control, setting up publishing workflows, and layering approval processes. Trigger keywords: Lightning Knowledge setup, Knowledge article record types, Data Category visibility, Knowledge publishing workflow, Knowledge__kav configuration. NOT for converting Classic Article Types to Lightning — use admin/knowledge-classic-to-lightning. NOT for bulk-loading articles from an external help center — use data/knowledge-article-import. NOT for sizing the taxonomy itself (how many groups, how deep) — use architect/knowledge-taxonomy-design.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Organize knowledge notes with links that explain their relationships, search saved information, review conflicting claims, and prepare weekly digests. Retrieve earlier work sessions and conversations by topic or date to recover context before continuing a task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find saved knowledge on a topic
• Add source material and update related notes
• Review conflicting claims across notes

문서·대화·프로젝트 정보를 알맞은 저장 위치로 정리합니다. 로컬 파일, 지식 기반, GitHub 등을 아우르며 중복 확인, 동기화, 검색을 진행합니다.

• 문서와 대화를 지식 기반에 저장
• 중복된 메모 정리
• 여러 저장 위치의 지식 동기화

Synthesize OpenViking knowledge bases or document collections into topic-based Markdown pages that explain trends, changes, comparisons, and implications. Keep conclusions traceable to source evidence, distinguish facts from inferences, and preserve disagreements and uncertainty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing changes across financial reports
• Finding shared trends across knowledge bases
• Organizing sourced conclusions by topic

Drive your own Claude Code session from Basecamp. Starts the local connector (basecamp connect), which listens to the account's event feed as a Basecamp agent and prints one line per trusted request: a mention, an assignment, a comment on a thread the agent follows, a boost on something it wrote. This session acknowledges each one that asks for something within seconds (a boost in its own words), picks the repo for the project, and hands the request to a background subagent that reads the context, does the work with your settings and tools, and replies as the agent. The session stays free to take the next request, and you can keep using it. Also connects an agent to this computer and manages its setup: the agent's credential (basecamp auth agent connect), who may give it work, and which projects it serves (basecamp connect setup), plus status and doctor. Use when asked to connect an agent, drive agents from Basecamp, watch Basecamp for an agent's mentions, start or stop the connector, or change who can give the agent work or which projects it serves.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create, validate, and enrich Open Knowledge Format (OKF) bundles — the open spec for representing organizational knowledge as markdown files with YAML frontmatter. Use when the user mentions 'OKF', 'Open Knowledge Format', 'knowledge bundle', 'OKF bundle', 'create a knowledge base for agents', 'validate OKF', 'convert to OKF', 'enrich knowledge docs', 'agent-readable knowledge', 'LLM wiki', 'knowledge catalog', 'kcmd', or wants to structure knowledge as markdown files for AI agent consumption. Also use when the user has a directory of markdown files and wants to make them interoperable or conformant with the OKF standard. Even for simple requests like 'make this folder OKF conformant' — the skill has critical structural rules the agent needs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build focused knowledge bases from claude-mem observations, filtered by topic, project, date, or file. Load selected records into an AI conversation to ask contextual follow-up questions about past decisions, fixes, and work patterns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compiling knowledge about a specific technical topic
• Reviewing decisions made during a chosen period
• Asking follow-up questions about a service's past bug fixes

Organize articles, documents, and insights from conversations into a personal Markdown wiki. Maintain source references, links between related topics, an index, and an activity log, then answer questions using the knowledge already collected.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Save key points from articles and documents
• Preserve insights from conversations
• Find answers in accumulated knowledge

Crawl linked pages within a chosen website scope and collect clean text, Markdown, or HTML with page metadata. Use the resulting records as source material for AI search systems or chatbot knowledge bases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collect documentation as Markdown
• Prepare source material for a chatbot knowledge base
• Gather blog content within a chosen scope

Migrating Classic Knowledge (KnowledgeArticleVersion / Article Types) to Lightning Knowledge (Knowledge__kav with record types): article-type-to-record-type mapping, multi-language translation preservation, data category re-architecture, file attachment porting, version and publication-state retention, channel visibility translation, and downstream Case Feed / Community / Bot rewiring. NOT for new Lightning Knowledge setup or editorial publishing workflow design (use admin/knowledge-base-administration).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Agent fallback for CDelayedCall2_CServerSideClientBase_UpdateAcknowledgedFramecountCall_vtable (auto-generated, category: func). Locate CDelayedCall2_CServerSideClientBase_UpdateAcknowledgedFramecountCall_vtable in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CDelayedCall2_CServerSideClientBase_UpdateAcknowledgedFramecountCall_vtable, CDelayedCall2_CServerSideClientBase_UpdateAcknowledgedFramecountCall_vtable

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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

Find and synthesize official Google developer documentation for platforms including Google Cloud, Gemini, Android, and Firebase. Retrieve command syntax, API details, permissions, and product comparisons through Developer Knowledge, then turn the findings into practical technical answers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking gcloud commands and flags
• Looking up API syntax and required permissions
• Comparing Google products and architectures

Build and maintain a Markdown knowledge base from source materials, with linked pages and traceable evidence. Use accumulated knowledge to answer questions, preserve reusable research, and check for conflicting claims, outdated information, broken links, or missing index entries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add source materials to a linked knowledge base
• Answer questions using accumulated research
• Check conflicting or outdated claims

Make AI truly understand large codebases: for multi-repository, multi-microservice projects that have evolved over years, run architecture reverse-engineering + a Graph RAG graph + multi-language AST to compress a huge codebase into a structured knowledge base, where every conclusion traces back to a code line and every relation carries a confidence label. Suited to projects with 10+ repositories or microservices that AI cannot understand globally by reading the code directly. Triggers: architecture analysis, architecture reverse-engineering, codebase knowledge base, code-to-knowledge, architecture wiki, large multi-repo codebase. Loaded on demand by the teamai discovery stub.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

How to work in a Knowledge Base project (the `knowledge-base` starter pack). Read when the project has the three-layer source-grounded layout — `external-sources/` → `research/` → `articles/` — or when asked how this project is organized. Carries the layer model, per-folder rules, status flows, and log discipline so this guidance does NOT live inside template bodies or log.md. The three procedures live elsewhere: ingest in the platform `open-knowledge` skill, research and consolidate as their own sibling skills in this pack. Complements the platform `open-knowledge` skill; does not replace it.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

How to work in a Codebase Wiki project (the `codebase-wiki` starter pack): an agent-authored, source-grounded wiki of the surrounding codebase. Read when the project has a `wiki/` knowledge base with `architecture/`, `modules/`, `flows/`, `concepts/`, and `guides/` sections plus `wiki/OVERVIEW.md`, or when asked to generate or refresh a wiki of this codebase. Carries the per-folder rules and freshness + log discipline, summarizes the audience/depth knobs and source-reference convention, and bundles the full generate/refresh procedure in `references/`. Complements the platform `open-knowledge` skill; does not replace it.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Facilitate a structured conversation to create a project-specific knowledge base document. Produces a knowledge-base.md that primes AI with the project's tech stack, architecture, trusted sources, and project structure. Use when the user says 'set up knowledge base', 'prime the project', 'onboard AI', 'create knowledge base', 'set up project context', or 'configure AI context'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate and maintain AI-readable markdown documentation for a codebase in docs/. Use this skill whenever the user asks to document their codebase, generate project docs, create architecture docs, update documentation after code changes, build a knowledge base for AI agents, create onboarding docs, map out a codebase, or explain a project structure. Also trigger when users say things like "document this repo", "create docs for my project", "update the docs", "write architecture documentation", "help AI understand my code", "generate a codebase overview", or "maintain docs". This skill is specifically about creating structured markdown files in a docs/ directory that serve as a knowledge base — NOT about writing inline code comments, README files, or API reference docs from docstrings.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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

Build systems that use Pinecone to find documents for AI answers or retain agent memories across sessions. Guides index setup, data loading, meaning-based and keyword search, memory separation, and end-to-end checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an AI assistant that answers from documents
• Keep agent facts and decisions across sessions
• Combine meaning-based search with exact terminology

Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Get oriented in an unfamiliar codebase
• Prepare documentation for a project handover
• Compare documented architecture with implementation

Choose the right WeKnora command to answer questions from a knowledge base or retrieve source passages. Covers cited answers, custom agents, document searches, and continuing a conversation through the command-line tool.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Ask questions with citations from a knowledge base
• Retrieve source passages for further analysis
• Find documents by title or filename

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